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機(jī)電網(wǎng)站模板,整站優(yōu)化系統(tǒng),html5網(wǎng)頁(yè)設(shè)計(jì)實(shí)訓(xùn)總結(jié),河北石家莊本次給大家整理的是《Sustainable Cities and Society》雜志2024年12月第116期的論文的題目和摘要，一共包括52篇SCI論文！ 論文1 Enhancing road traffic flow in sustainable cities through transformer models: Advancements and challenges 通過(guò)變壓…

本次給大家整理的是《Sustainable Cities and Society》雜志2024年12月第116期的論文的題目和摘要，一共包括52篇SCI論文！

論文1

Enhancing road traffic flow in sustainable cities through transformer models: Advancements and challenges

通過(guò)變壓器模型增強(qiáng)可持續(xù)城市道路交通流：進(jìn)展與挑戰(zhàn)

【摘要】

Efficient traffic flow is crucial for sustainable cities, as it directly impacts energy consumption, pollution levels, and overall quality of life. The integration of superficial intelligence, particularly transformer models, plays a significant role in enhancing the predictive capabilities for traffic management, thereby supporting sustainable urban development. In this survey, we explored the application of transformer models to predict and optimize traffic flow in sustainable cities. These models leverage advanced machine?learning to capture intricate spatiotemporal patterns,thereby providing valuable insights for urban planners and traffic management centers. By systematically reviewing the literature, we emphasize the importance of transformer models in urban planning and sustainable resource use. Our study demonstrates how transformer models can learn complex spatiotemporal patterns from traffic data by incorporating both real-time and historical data to enhance prediction accuracy. This improved predictive capability aids the development of smart cities by reducing traffic congestion, facilitating smoother movement for city dwellers and tourists, and ultimately contributing to the sustainability goals of urban areas. This comprehensive review highlights the transformative potential of predictive modeling using transformer models, underscoring their critical role in optimizing urban infrastructure and promoting sustainable city development.
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【摘要翻譯】高效的交通流對(duì)可持續(xù)城市至關(guān)重要，因?yàn)樗苯佑绊懩茉聪摹⑽廴舅胶驼w生活質(zhì)量。特別是集成表面智能，尤其是變壓器模型（transformer models），在增強(qiáng)交通管理的預(yù)測(cè)能力方面發(fā)揮著重要作用，從而支持可持續(xù)的城市發(fā)展。在這項(xiàng)調(diào)查中，我們探索了變壓器模型在可持續(xù)城市中預(yù)測(cè)和優(yōu)化交通流的應(yīng)用。這些模型利用先進(jìn)的機(jī)器學(xué)習(xí)來(lái)捕捉復(fù)雜的時(shí)空模式，為城市規(guī)劃者和交通管理中心提供寶貴的洞察。通過(guò)系統(tǒng)地審查文獻(xiàn)，我們強(qiáng)調(diào)了變壓器模型在城市規(guī)劃和可持續(xù)資源利用中的重要性。我們的研究表明，變壓器模型可以通過(guò)結(jié)合實(shí)時(shí)和歷史數(shù)據(jù)來(lái)學(xué)習(xí)交通數(shù)據(jù)中的復(fù)雜時(shí)空模式，從而提高預(yù)測(cè)準(zhǔn)確性。這種提高的預(yù)測(cè)能力有助于智能城市的發(fā)展，減少交通擁堵，為城市居民和游客提供更順暢的流動(dòng)，并最終為城市地區(qū)的可持續(xù)性目標(biāo)做出貢獻(xiàn)。這項(xiàng)全面的綜述強(qiáng)調(diào)了使用變壓器模型進(jìn)行預(yù)測(cè)建模的變革潛力，強(qiáng)調(diào)了它們?cè)趦?yōu)化城市基礎(chǔ)設(shè)施和促進(jìn)可持續(xù)城市發(fā)展中的關(guān)鍵作用。

論文2

Exhaustive overview of advances in integrating renewable energy sources into district heating systems
全面概述將可再生能源集成到區(qū)域供熱系統(tǒng)中的進(jìn)展
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【摘要】The COVID-19 pandemic, unprecedented in scale and impact, has significantly influenced consumer spending. This study leverages a longitudinal transaction dataset from South Korea to analyze how the pandemic, social distancing policies, and pandemic-related search interest have shaped spending within and across cities. We examine transaction volume and expenditure amount as city-level indicators of activity intensity and consumption demand across four stages of the early pandemic. The study finds that: (1) Social distancing caused reductions in both residents' and travelers' spending. The increase in search interest coincided with a rise in residents' spending but a decline in travelers' spending; (2) Resident transactions experienced a moderate and persistent decline across all stages, while expenditure rebounded after the 1st national outbreak. Traveler transactions and expenditure showed similar trends, with declines during outbreaks and recoveries during stable periods; (3) Disparities across cities were associated with proximity to outbreak centers and socioeconomic attributes. Cities with larger populations or those closer to epicenters experienced greater reductions in spending, while less densely populated cities saw increased traveler spending during the 2nd stable period; (4) Travelers' spending from distant cities significantly decreased during the 1st outbreak but gradually recovered as the pandemic continued, indicating evolving behavior and adaptation; (5) Changes across spending categories exhibited significant heterogeneity. Residents showed increased demand for essential goods and online shopping, while recreation-related industries struggled throughout. These findings highlight the characteristics and disparities among consumers, cities, and industries, providing information for policymakers to formulate tailored support programs for industries experiencing increased demand or significant impacts. This study emphasizes the need to develop robust strategies for crisis management and economic resilience to mitigate the impacts of future health crises.

【摘要翻譯】

本研究提供了區(qū)域供熱系統(tǒng)（DHSs）各個(gè)方面最新進(jìn)展的全面概述，重點(diǎn)關(guān)注與不同可再生能源（RES）集成的第四代和第五代熱分布網(wǎng)絡(luò)。研究強(qiáng)調(diào)了應(yīng)用于DHSs的各種先進(jìn)可再生技術(shù)的綜合方法，如太陽(yáng)能和地?zé)崮?、生物質(zhì)、工業(yè)廢熱，特別是傳統(tǒng)熱泵（HPs）和太陽(yáng)能輔助熱泵與太陽(yáng)能熱（ST）、光伏（PV）或光伏-熱（PV/T）板在彈性和可持續(xù)建筑和DHS中的實(shí)施，以提高能源和環(huán)境性能。制冷劑的無(wú)效性可以用來(lái)快速評(píng)估僅通過(guò)運(yùn)行溫度值的HP能效，并評(píng)估HP-PV/T混合系統(tǒng)的能量性能，還考慮了使用全球季節(jié)性能因子（SPFHP-PV）。此外，它還展示了使用作為渦輪機(jī)工作的泵從DHSs中回收過(guò)度壓力的可能性。研究還描述了DHSs的主要組成部分和演變，簡(jiǎn)要回顧了低溫和超低溫DHSs，以及將鉆孔和熱水熱能儲(chǔ)存（TES）技術(shù)實(shí)施到DHS中。它還討論了DHS的主要優(yōu)化技術(shù)、仿真工具、控制方法和維護(hù)，以及RES與DHS的替代連接模式。最后，一些原始研究和文獻(xiàn)綜述包括在彈性和可持續(xù)建筑和DHS中實(shí)施各種RES的幾個(gè)應(yīng)用。

論文3

Longitudinal association between urban blue-green space exposure and mortality: A systematic review and meta-analysis of exposure types and buffers
城市藍(lán)綠空間暴露與死亡率之間的縱向關(guān)聯(lián)：關(guān)于暴露類(lèi)型和緩沖區(qū)的系統(tǒng)評(píng)價(jià)與薈萃分析
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【摘要】Exposure to urban blue-green space1(UBGS) affects human health, but how to integrate long-term exposure to guide the measurement and intervention of UBGS remains unclear. We aimed to synthesize the latest evidence from longitudinal cohort studies on the association between objectively measured UBGS exposure and mortality, highlighting differences in health effect sizes across exposure types and buffers. We systematically reviewed articles published through January 2024 from PubMed, Web of Science, and Scopus and conducted a meta-analysis of the longitudinal associations between exposure and mortality in 21 studies involving 28,700,187 participants from 14 countries with a median follow-up of 10.3 years. Quantitative assessment indicated that the normalized difference vegetation index from satellite data and the green proportion from land use or land cover were protective against all-cause mortality: the former had a significantly larger effect size (per 0.1-unit increase, pooled HR 95 % CI: 0.97, 0.96–0.98) and showed the greatest effect at 500 m compared with the ≤300 m and ≥1000 m buffers. UBGS exposure had a more pronounced protective effect on respiratory mortality than on all-cause, circulatory, and cancer mortality, with opposite trends across buffer sizes. The findings were primarily for green space, as studies on blue space were limited in number and included varied metrics. Although the hazard ratios were fully adjusted for sociodemographic covariates and buffered subgroup analysis was conducted, residual confounding cannot be completely excluded. Further research should focus on differences in exposure types, especially blue spaces, analyze potential mechanisms, and validate the findings across different geographical contexts.
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【摘要翻譯】
城市藍(lán)綠空間（UBGS）暴露對(duì)人類(lèi)健康有影響，但如何整合長(zhǎng)期暴露以指導(dǎo)UBGS的測(cè)量和干預(yù)仍不清楚。我們的目標(biāo)是綜合來(lái)自縱向隊(duì)列研究的最新證據(jù)，研究客觀測(cè)量的UBGS暴露與死亡率之間的關(guān)聯(lián)，強(qiáng)調(diào)不同暴露類(lèi)型和緩沖區(qū)之間健康效應(yīng)大小的差異。我們系統(tǒng)性地回顧了截至2024年1月在PubMed、Web of Science和Scopus上發(fā)表的文章，并對(duì)21項(xiàng)研究中的暴露與死亡率之間的縱向關(guān)聯(lián)進(jìn)行了薈萃分析，這些研究涉及來(lái)自14個(gè)國(guó)家的28,700,187名參與者，隨訪中位數(shù)為10.3年。定量評(píng)估表明，來(lái)自衛(wèi)星數(shù)據(jù)的歸一化差異植被指數(shù)和土地利用或土地覆蓋的綠地比例對(duì)全因死亡率具有保護(hù)作用：前者的效應(yīng)大小顯著更大（每增加0.1單位，合并風(fēng)險(xiǎn)比（HR）95%置信區(qū)間：0.97，0.96–0.98），在500米緩沖區(qū)內(nèi)的效果最大，相較于≤300米和≥1000米的緩沖區(qū)。UBGS暴露對(duì)呼吸系統(tǒng)死亡率的保護(hù)作用比對(duì)全因死亡率、循環(huán)系統(tǒng)死亡率和癌癥死亡率的保護(hù)作用更為顯著，且在不同緩沖區(qū)大小之間呈現(xiàn)相反的趨勢(shì)。研究結(jié)果主要針對(duì)綠地，因?yàn)殛P(guān)于藍(lán)地的研究數(shù)量有限且包含的指標(biāo)各異。盡管風(fēng)險(xiǎn)比已針對(duì)社會(huì)人口學(xué)協(xié)變量進(jìn)行了全面調(diào)整，并進(jìn)行了緩沖區(qū)子組分析，但仍無(wú)法完全排除殘余混雜的可能性。未來(lái)的研究應(yīng)關(guān)注暴露類(lèi)型的差異，特別是藍(lán)地，分析潛在機(jī)制，并在不同地理背景下驗(yàn)證研究結(jié)果。

論文4

Bridging smart technologies and healthy cities: A scoping review using WHO's 6P?framework
連接智能技術(shù)與健康城市：使用世界衛(wèi)生組織6P框架的范圍綜述
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【摘要】Urbanization's public health challenges have led to smart city initiatives, but the integration of these technologies within the World Health Organization's (WHO) Healthy Cities framework remains underexplored. This study maps the smart technologies employed for urban health and examines their alignment with the six components of the WHO framework: People, Place, Participation, Prosperity, Peace, and Planet. A scoping review of literature published between 2000 and 2024 was performed by searching five databases. Studies were included if they described smart technologies used for urban health and were published in English and peer-reviewed journal articles or conference papers. An analysis of 41 studies revealed that sensors, web applications, and machine learning were the most used technologies. Place-related technologies were predominant, focusing on environmental monitoring and infrastructure management. While the other themes were well represented, there was a notable absence of People and Participation-related technologies. This study provides comprehensive mapping of smart technologies within the WHO's framework, contributing to the goal of sustainable and healthy cities. Findings highlight the significant gap in human-centric and participatory approaches, emphasizing the need for more inclusive and equitable cities. Future research and policy should prioritize integrating underrepresented themes to better align with the WHO's Healthy Cities vision.
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【摘要翻譯】
城市化帶來(lái)的公共衛(wèi)生挑戰(zhàn)促使了智能城市倡議的產(chǎn)生，但這些技術(shù)在世界衛(wèi)生組織（WHO）健康城市框架內(nèi)的整合仍待深入探索。本研究將用于城市健康的智慧技術(shù)與WHO框架的六個(gè)組成部分進(jìn)行了對(duì)應(yīng)：人（People）、地點(diǎn)（Place）、參與（Participation）、繁榮（Prosperity）、和平（Peace）和地球（Planet）。通過(guò)對(duì)2000年至2024年間發(fā)表的文獻(xiàn)進(jìn)行范圍綜述，搜索了五個(gè)數(shù)據(jù)庫(kù)。如果研究描述了用于城市健康的智慧技術(shù)，并且是發(fā)表在英語(yǔ)同行評(píng)審期刊文章或會(huì)議論文中，那么這些研究就被納入本綜述。對(duì)41項(xiàng)研究的分析顯示，傳感器、網(wǎng)絡(luò)應(yīng)用和機(jī)器學(xué)習(xí)是最常用的技術(shù)。與地點(diǎn)相關(guān)的技術(shù)占主導(dǎo)地位，重點(diǎn)關(guān)注環(huán)境監(jiān)測(cè)和基礎(chǔ)設(shè)施管理。雖然其他主題也有很好地體現(xiàn)，但與“人”和“參與”相關(guān)的技術(shù)明顯缺失。本研究在WHO框架內(nèi)對(duì)智慧技術(shù)進(jìn)行了全面的對(duì)應(yīng)，為實(shí)現(xiàn)可持續(xù)和健康城市的目標(biāo)做出了貢獻(xiàn)。研究結(jié)果突出了以人為中心和參與性方法方面的重要差距，強(qiáng)調(diào)了建設(shè)更具包容性和公平性城市的必要性。未來(lái)的研究和政策應(yīng)優(yōu)先整合代表性不足的主題，以更好地與WHO的健康城市愿景保持一致。

論文5

Multi-period Charging Infrastructure Planning under Uncertainty: Challenges and Opportunities
多時(shí)期充電基礎(chǔ)設(shè)施規(guī)劃中的不確定性：挑戰(zhàn)與機(jī)遇
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【摘要】Long-term charging infrastructure planning is imperative to sustain the rapid adoption of electric vehicles (EVs) in line with climate goals. While the literature on spatial planning of charging infrastructure is well documented, the temporal dimension has received limited attention. This paper comprehensively reviews the literature on multi-period charging infrastructure planning under uncertainty. It examines the complex interplay between EV mobility and the energy sector. Four gaps are identified after examining 44 pertinent studies published from January 1990 to March 2024.Firstly, current models are predominantly deterministic and myopic, lacking a forward-looking approach to accommodate future uncertainties.?Secondly, most studies rely on EVs’ aggregated mobility and charging patterns, leading to inaccurate charging demand forecasts and suboptimal plans. Addressing this requires integrating vehicle-level agent-based models that accurately depict EVs’ charging patterns, and their interactions with charging stations and the grid.?Thirdly, the impact of improved charging infrastructure on EV adoption is generally ignored. Joint consideration of charging demand forecasting with infrastructure planning is essential to incorporate such infrastructure-demand feedback loops.?Lastly, current planning frameworks show limited integration of grid expansion, operations, and renewable energy sources To address these gaps, we propose a dynamic programming-based framework and solution approach to this planning problem.
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【摘要翻譯】
長(zhǎng)期充電基礎(chǔ)設(shè)施規(guī)劃對(duì)于支持電動(dòng)汽車(chē)（EV）的快速采用以實(shí)現(xiàn)氣候目標(biāo)至關(guān)重要。盡管關(guān)于充電基礎(chǔ)設(shè)施空間規(guī)劃的文獻(xiàn)已有充分記錄，但時(shí)間維度卻鮮有關(guān)注。本文全面回顧了在不確定性下多時(shí)期充電基礎(chǔ)設(shè)施規(guī)劃的文獻(xiàn)。它考察了電動(dòng)汽車(chē)流動(dòng)性與能源部門(mén)之間復(fù)雜的相互作用。在審查了從1990年1月至2024年3月發(fā)表的44項(xiàng)相關(guān)研究后，我們識(shí)別出了四個(gè)差距。首先，當(dāng)前模型主要是確定性的和短視的，缺乏前瞻性的方法來(lái)適應(yīng)未來(lái)的不確定性。其次，大多數(shù)研究依賴(lài)于電動(dòng)汽車(chē)的聚合流動(dòng)性和充電模式，導(dǎo)致充電需求預(yù)測(cè)不準(zhǔn)確和次優(yōu)的規(guī)劃。解決這一問(wèn)題需要整合能夠準(zhǔn)確描述電動(dòng)汽車(chē)充電模式及其與充電站和電網(wǎng)互動(dòng)的車(chē)輛級(jí)代理模型。第三，改善充電基礎(chǔ)設(shè)施對(duì)電動(dòng)汽車(chē)采用的影響通常被忽視。聯(lián)合考慮充電需求預(yù)測(cè)與基礎(chǔ)設(shè)施規(guī)劃是必要的，以納入這種基礎(chǔ)設(shè)施需求反饋循環(huán)。最后，當(dāng)前規(guī)劃框架顯示對(duì)電網(wǎng)擴(kuò)展、運(yùn)營(yíng)和可再生能源的整合有限。為了解決這些差距，我們提出了一個(gè)基于動(dòng)態(tài)規(guī)劃的框架和解決方案，以解決這一規(guī)劃問(wèn)題。

論文6

An integrated hydrological-hydrogeological model for analysing spatio-temporal probability of groundwater infiltration in urban infrastructure
用于分析城市基礎(chǔ)設(shè)施中地下水滲透的時(shí)空概率的綜合水文-水文地質(zhì)模型

【摘要】While groundwater serves as a valuable resource, its infiltration poses significant challenges to urban infrastructure. This study develops and demonstrates a computationally efficient spatio-temporal analysis of groundwater infiltration (GWI) in urban facilities, specifically sewer networks (SNs), within the Lower River Otter Water Body, United Kingdom. To achieve this, the Fuzzy-Analytic Hierarchy Process (F-AHP) within a Geographic Information System (GIS) framework was employed, considering geology, geomorphology, hydrology, hydrogeology, climate, and topography. The proposed model encompasses 16 thematic maps, categorised into 6 groups: (1) groundwater (groundwater depth (GWD)); (2) altitude (elevation, slope, and topographic wetness index); (3) precipitation (monthly precipitation); (4) ground cover (rock permeability, alluvial permeability, soil type, land cover, and made ground); (5) earth movement (fault proximity, fault length density, and mass movement); and (6) runoff (river, flood potential, and drainage density). Expert judgment, F-analysis, and AHP were applied to the layers for classification, normalisation, and weight assignment, respectively. Verified by data from outfalls, GWI probability maps were generated considering the shallowest GWD and highest precipitation for temporal analysis. Overall, higher GWI probability scores were found in regions with shallower GWD, lower elevations, especially near river, and higher permeabilities. Assigning a probability score between 0 and 1 for each 1-metre area in each season, the vulnerability maps can guide water agencies in implementing protective strategies for infrastructure. The findings contribute to enhancing groundwater sustainability in urban areas, particularly in the face of potential climate change.

【摘要翻譯】
地下水作為一種寶貴的資源，其滲透對(duì)城市基礎(chǔ)設(shè)施構(gòu)成了重大挑戰(zhàn)。本研究開(kāi)發(fā)并展示了一種計(jì)算效率高的城市設(shè)施中地下水滲透（GWI）的時(shí)空分析方法，特別是針對(duì)英國(guó)奧特河下游水體中的污水管網(wǎng)（SNs）。為此，在地理信息系統(tǒng)（GIS）框架內(nèi)采用了模糊-層次分析過(guò)程（F-AHP），考慮了地質(zhì)、地貌、水文、水文地質(zhì)、氣候和地形等因素。所提出的模型包括16個(gè)主題地圖，分為6組：（1）地下水（地下水位深度（GWD））；（2）高程（海拔、坡度和地形濕度指數(shù)）；（3）降水（月降水量）；（4）地面覆蓋（巖石滲透性、沖積層滲透性、土壤類(lèi)型、土地覆蓋和人造地面）；（5）地面運(yùn)動(dòng)（斷層接近度、斷層長(zhǎng)度密度和大規(guī)模運(yùn)動(dòng)）；以及（6）徑流（河流、洪水潛力和排水密度）。專(zhuān)家判斷、F分析和AHP分別應(yīng)用于圖層的分類(lèi)、歸一化和權(quán)重分配。通過(guò)排放口的數(shù)據(jù)驗(yàn)證，生成了考慮最淺GWD和最高降水量的GWI概率地圖，用于時(shí)間分析?？傮w而言，發(fā)現(xiàn)在地下水位較淺、海拔較低的地區(qū)，特別是在河流附近和滲透性較高的地區(qū)，GWI概率得分較高。為每個(gè)季節(jié)的每個(gè)1平方米區(qū)域分配0到1之間的概率得分，脆弱性地圖可以指導(dǎo)水務(wù)機(jī)構(gòu)實(shí)施基礎(chǔ)設(shè)施的保護(hù)策略。這些發(fā)現(xiàn)有助于提高城市地區(qū)的地下水可持續(xù)性，特別是在面臨潛在氣候變化的情況下。

論文7

Circular economy strategies research for Beijing buildings in a low-carbon future
北京建筑在低碳未來(lái)中的循環(huán)經(jīng)濟(jì)戰(zhàn)略研究
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【摘要】The circular economy strategy can effectively reconcile the contradiction between human activities and the ecological environment through utilizing resources efficiently and circularly, thereby promoting global low-carbon sustainable development. However, it lacks application in urban buildings. This study constructs the four-layer framework based on the turnover dynamic stock model and carbon emissions method. Combined with 7 circular economy strategies and scenario analysis, this framework captures the production, demand, use, recycling and reuse of 13 major materials in 7 prototypes of 3 types for Beijing's buildings, and explores the potential of dematerialization and low-carbon development from 2022 to 2060. Results indicate that the floor area will continue to grow to 1749.00 million m2by 2060, material requirements will increase by 49.64 Mt annually, and CO2?emissions will increase by 8.26 Mt annually under current policies. Circular economy strategies can reduce cumulative material requirements by 20.40–762.09 Mt and CO2?emissions by 2.62–157.46 Mt until 2060, which have enormous abatement potential for materials and CO2?emissions. Executing multi-strategy simultaneously demonstrates superior overall effectiveness compared to individual strategies, which resulted in a cumulative reduction of 40.40 % of material requirements and 50.14 % of CO2?emissions. Decarbonizing buildings, promoting sustainable development, and contributing to achieving "3060" dual carbon goals require a collaborative implementation of multiple strategies.
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【摘要翻譯】
循環(huán)經(jīng)濟(jì)戰(zhàn)略通過(guò)高效和循環(huán)利用資源，可以有效調(diào)和人類(lèi)活動(dòng)與生態(tài)環(huán)境之間的矛盾，從而促進(jìn)全球低碳可持續(xù)發(fā)展。然而，這一戰(zhàn)略在城市建筑中的應(yīng)用尚顯不足。本研究基于周轉(zhuǎn)動(dòng)態(tài)庫(kù)存模型和碳排放方法構(gòu)建了四層框架。結(jié)合7種循環(huán)經(jīng)濟(jì)戰(zhàn)略和情景分析，該框架捕捉了北京建筑7種原型中13種主要材料的生產(chǎn)、需求、使用、回收和再利用，探討了從2022年到2060年的去物質(zhì)化和低碳發(fā)展?jié)摿?。結(jié)果表明，在當(dāng)前政策下，建筑面積將繼續(xù)增長(zhǎng)至2060年的1749.00百萬(wàn)平方米，材料需求將每年增加49.64百萬(wàn)噸，CO2排放將每年增加8.26百萬(wàn)噸。循環(huán)經(jīng)濟(jì)戰(zhàn)略可以減少累計(jì)材料需求20.40至762.09百萬(wàn)噸，CO2排放減少2.62至157.46百萬(wàn)噸，直到2060年，這在材料和CO2排放減少方面具有巨大的潛力。同時(shí)執(zhí)行多種戰(zhàn)略顯示出比單一戰(zhàn)略更優(yōu)越的整體效果，導(dǎo)致材料需求累計(jì)減少了40.40%，CO2排放減少了50.14%。實(shí)現(xiàn)建筑脫碳、促進(jìn)可持續(xù)發(fā)展，并助力實(shí)現(xiàn)“3060”雙碳目標(biāo)，需要協(xié)同實(shí)施多種戰(zhàn)略。

論文8
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Evaluating urban heat island to achieve sustainable development goals: A case study of Tiruchirappalli city, India
評(píng)估城市熱島效應(yīng)以實(shí)現(xiàn)可持續(xù)發(fā)展目標(biāo)：印度蒂魯吉拉帕利市的案例研究
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【摘要】Tiruchirappalli City the fourth largest municipal corporation in Tamilnadu, India is witnessing accelerated urban growth. The city has exacerbated the microclimate indicating a significant increase in land surface temperature. The study aims to establish the differentiation of land surface temperature of city between 2001, 2011, and 2021 of summer months using Landsat images to examine the effects of urban heat island. The results shows that the temperature ranged from 31.23°C to 37.45°C between 2011 and 2021. The assessed land surface temperature (LST) is correlated and the result shows a positive correlation between the LST-normalised difference built-up index (NDBI) and a negative correlation between the LST-normalised difference vegetation index (NDVI) and a weak correlation between LST-BSI and LST-MNDWI of summer months examined. Further, the urban thermal field variance index (UTFVI) of the city is analysed. The thermal condition of the city during April has significantly changed from 5.14 % of area in 2001 to 12.19 % of area in 2021 (UTFVI >0.020, Strongest) of worst ecological valuation index. The selected city is experiencing major thermal conditions (UTFVI 0.010–0.015) of ecological evaluation index from bad to worst. This study will help mitigate the urban heat island effect and promote sustainable development for rapid urbanization.
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【摘要翻譯】蒂魯吉拉帕利市是印度泰米爾納德邦第四大市政公司，正在經(jīng)歷加速的城市增長(zhǎng)。該城市的微氣候狀況加劇，表明地表溫度顯著上升。本研究旨在利用Landsat圖像確定2001年、2011年和2021年夏季城市地表溫度的差異，以檢驗(yàn)城市熱島效應(yīng)的影響。結(jié)果顯示，2011年至2021年間溫度范圍在31.23°C至37.45°C之間。評(píng)估的地表溫度（LST）與歸一化差異建筑指數(shù)（NDBI）呈正相關(guān)，與歸一化差異植被指數(shù)（NDVI）呈負(fù)相關(guān)，與地表溫度-裸土指數(shù)（BSI）和地表溫度-改良?xì)w一化差異水體指數(shù)（MNDWI）的夏季月份檢驗(yàn)呈弱相關(guān)。此外，還分析了城市的城鄉(xiāng)熱場(chǎng)變異指數(shù)（UTFVI）。從2001年的5.14%到2021年的12.19%（UTFVI >0.020，最強(qiáng)），城市在4月份的熱狀況發(fā)生了顯著變化，最差的生態(tài)評(píng)價(jià)指數(shù)面積有所增加。選定城市正在經(jīng)歷從差到最差的生態(tài)評(píng)價(jià)指數(shù)的主要熱條件（UTFVI 0.010–0.015）。這項(xiàng)研究將有助于減輕城市熱島效應(yīng)，促進(jìn)快速城市化的可持續(xù)發(fā)展。

論文9

Robust day-ahead scheduling of cooperative energy communities considering multiple aggregators
考慮多個(gè)聚合商的合作能源社區(qū)的穩(wěn)健日前調(diào)度
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【摘要】Future cities must play a vital role in reducing energy consumption and decarbonizing the electricity sector, thus evolving from passive structures towards more efficient smart cities. This transition can be facilitated by energy communities. This emerging paradigm consists of collectivizing a set of residential installations equipped with onsite renewable generators and storage assets (i.e., prosumers), which can eventually share resources to pursue collective welfare. This paper focuses on cooperative communities, where prosumers share resources without seeking selfish monetary counterparts. Despite their apparent advantages, energy management and scheduling of energy communities suppose a challenge for conventional tools due to the high level of uncertainty (especially due to intermittent renewable generation and random demand), and privacy concerns among prosumers. This paper addresses these issues. Specifically, a novel management structure based on multiple aggregators is proposed. This paradigm preserves users' confidential features while allowing them to extract the full potential of their assets. To efficiently manage the variety of assets available under uncertainty, an adaptive robust day-ahead scheduling model is developed, which casts as a solvable and portable Mixed Integer Linear Programming framework, which eases its implementation in real-world cases. The new proposal concerns uncertain generation and demand using a polyhedral representation of the uncertainty set. A case study is conducted to validate the developed model, showing promising results. Moreover, different results are obtained and analysed. Finally, it is worth remarking on how the level of robustness impacts the collective bill, incrementing it by 75 % when risk-averse conditions are assumed. In addition, the role of storage assets under pessimistic conditions is remarked, pointing out that these assets rule the scheduling plan of the community instead of renewable generators.
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【摘要翻譯】
未來(lái)城市在減少能源消耗和電力部門(mén)脫碳方面必須發(fā)揮重要作用，從而從被動(dòng)結(jié)構(gòu)向更高效的智能城市發(fā)展。這一轉(zhuǎn)變可以通過(guò)能源社區(qū)來(lái)促進(jìn)。這種新興范式包括將配備現(xiàn)場(chǎng)可再生發(fā)電機(jī)和儲(chǔ)能資產(chǎn)（即產(chǎn)消者）的一系列住宅設(shè)施集體化，這些設(shè)施最終可以共享資源以追求集體福利。本文關(guān)注合作社區(qū)，其中產(chǎn)消者共享資源而不是尋求自私的金錢(qián)對(duì)等物。盡管它們有明顯的優(yōu)勢(shì)，但能源社區(qū)的能源管理和調(diào)度對(duì)傳統(tǒng)工具來(lái)說(shuō)是一個(gè)挑戰(zhàn)，因?yàn)榇嬖诟叨鹊牟淮_定性（特別是由于間歇性的可再生能源發(fā)電和隨機(jī)需求），以及產(chǎn)消者之間的隱私問(wèn)題。本文解決了這些問(wèn)題。具體來(lái)說(shuō)，提出了一種基于多個(gè)聚合商的新型管理結(jié)構(gòu)。這種范式保留了用戶(hù)的保密特征，同時(shí)允許他們充分利用其資產(chǎn)的潛力。為了在不確定性下有效管理各種可用資產(chǎn)，開(kāi)發(fā)了一個(gè)自適應(yīng)的穩(wěn)健日前調(diào)度模型，該模型被構(gòu)建為一個(gè)可解且可移植的混合整數(shù)線(xiàn)性規(guī)劃框架，這有助于其在現(xiàn)實(shí)世界案例中的實(shí)施。新提案涉及不確定的發(fā)電和需求，使用不確定性集的多面體表示。進(jìn)行了案例研究以驗(yàn)證開(kāi)發(fā)的模型，顯示出有希望的結(jié)果。此外，獲得了不同的結(jié)果并進(jìn)行了分析。最后，值得指出的是，穩(wěn)健性水平如何影響集體賬單，在假設(shè)風(fēng)險(xiǎn)規(guī)避條件時(shí)將其增加了75%。此外，在悲觀條件下儲(chǔ)能資產(chǎn)的作用被強(qiáng)調(diào)，指出這些資產(chǎn)而不是可再生發(fā)電機(jī)決定了社區(qū)的調(diào)度計(jì)劃。

論文10

Nighttime Street View Imagery: A new perspective for sensing urban lighting landscape
夜間街景圖像：感知城市照明景觀的新視角
【摘要】Urban lighting reflects nocturnal activities and it is traditionally observed using Nighttime Lights (NTL) satellite imagery. Few studies systematically measure the nightscape from a human perspective. This study brings a new paradigm — urban lighting sensing via Nighttime Street View Imagery (SVI). The paradigm draws on the accomplishments of (daytime) SVI and gives attention to its ignored nighttime counterpart. We put forward this idea by manually collecting 2,831 nighttime SVIs across various urban functional areas in Singapore. We investigated their values by developing a use case for clustering nighttime lighting patterns. To mitigate the scarcity of nighttime SVI, deep learning regression models were trained to predict nighttime brightness based on corresponding daytime SVIs obtained from widely available sources. The results were compared with brightness data derived from satellite imagery, to affirm the novelty and uniqueness of nighttime SVI. As a result, there are 7 lighting patterns within the collected nighttime SVI, distinct in lighted spot features and total brightness. The identified patterns effectively characterize different urban function scenarios. The best trained brightness prediction model performs well in revealing the city-scale lighting landscape. The SVI-predicted brightness shows a distribution similar to the brightness from satellite imagery and complements it in urban areas with complex vertical lighting structures. This study demonstrates the potential of nighttime SVI as a valuable data source for mapping urban lighting and activities, offering advantages over satellite data. The proposed paradigm contributes significantly to cross-modal information mining in urban studies and has potential applications in scenarios such as light pollution mitigation and crime prevention.
【摘要翻譯】
城市照明反映了夜間活動(dòng)，傳統(tǒng)上使用夜間燈光（NTL）衛(wèi)星圖像進(jìn)行觀測(cè)。很少有研究系統(tǒng)地從人類(lèi)視角測(cè)量夜景。本研究帶來(lái)了一個(gè)新的范式——通過(guò)夜間街景圖像（SVI）感知城市照明。這個(gè)范式借鑒了（白天）SVI的成就，并關(guān)注其被忽視的夜間對(duì)應(yīng)物。我們通過(guò)在新加坡各地不同城市功能區(qū)域手動(dòng)收集2,831張夜間SVI來(lái)提出這個(gè)想法。我們通過(guò)開(kāi)發(fā)一個(gè)用于聚類(lèi)夜間照明模式的用例來(lái)研究它們的價(jià)值。為了緩解夜間SVI的稀缺性，訓(xùn)練了深度學(xué)習(xí)回歸模型，以預(yù)測(cè)基于廣泛可用來(lái)源獲得的相應(yīng)白天SVI的夜間亮度。結(jié)果與從衛(wèi)星圖像導(dǎo)出的亮度數(shù)據(jù)進(jìn)行了比較，以確認(rèn)夜間SVI的新穎性和獨(dú)特性。結(jié)果表明，在收集的夜間SVI中有7種照明模式，這些模式在照明點(diǎn)特征和總亮度上有所不同。識(shí)別出的模式有效地描述了不同的城市功能場(chǎng)景。訓(xùn)練最好的亮度預(yù)測(cè)模型在揭示城市規(guī)模照明景觀方面表現(xiàn)良好。SVI預(yù)測(cè)的亮度顯示出與衛(wèi)星圖像中的亮度相似的分布，并在具有復(fù)雜垂直照明結(jié)構(gòu)的城市區(qū)域補(bǔ)充了它。這項(xiàng)研究表明，夜間SVI作為繪制城市照明和活動(dòng)的數(shù)據(jù)源具有潛力，比衛(wèi)星數(shù)據(jù)具有優(yōu)勢(shì)。提出的范式在城市研究中的跨模態(tài)信息挖掘方面做出了重要貢獻(xiàn)，并在諸如減輕光污染和預(yù)防犯罪等場(chǎng)景中具有潛在應(yīng)用。

論文11

Scenario simulation of carbon balance in carbon peak pilot cities under the background of the "dual carbon" goals
在“雙碳”目標(biāo)背景下的碳達(dá)峰試點(diǎn)城市碳平衡情景模擬
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【摘要】Under the "dual carbon" goals, targeting issues such as the difficulty in changing the high-carbon economic development model in pilot cities and the inability of previous prediction models to meet current needs, this paper provides an in-depth analysis of carbon stocks and emissions in a peak pilot City spanning from 2000 to 2020. Utilizing the PLUS model, this study forecasts land use/cover data under diverse future scenarios, encompassing natural development (ND) as well as ecological protection (EP). Moreover, the Bi-LSTM deep learning model is developed using six influencing factors to simulate carbon emissions. The research also examined the spatiotemporal changes in carbon budget and balance. The findings of the study reveal several significant conclusions:(1) The PLUS model demonstrated high predictive accuracy in forecasting future land-use types, achieving an average overall accuracy exceeding 0.89 and a Kappa value of 0.8568; The Bi-LSTM model achieved the highest accuracy among all competing models, with anR2?score reaching 0.864. (2) Under the EP scenario from 2020 to 2030, the rate of decline in carbon storage has slowed down (6.44×106t?of carbon storage have been avoided from disappearing), and land use efficiency has significantly improved. Due to the protection of ecological land, a certain carbon sink effect has been generated, resulting in lower regional carbon emissions compared to the ND scenario, emphasizing the importance and necessity of setting ecological red lines for carbon stock optimization. (3) Carbon payment areas are primarily concentrated in urban centers, and over time, these areas and carbon compensation zones each account half of the total area. (4) Under different scenarios, the carbon balance of built land has been partially mitigated, and the overall trend is developing favorably.
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【摘要翻譯】
在“雙碳”目標(biāo)的背景下，針對(duì)試點(diǎn)城市難以改變高碳經(jīng)濟(jì)發(fā)展模式以及以往預(yù)測(cè)模型無(wú)法滿(mǎn)足當(dāng)前需求的問(wèn)題，本文對(duì)一個(gè)碳達(dá)峰試點(diǎn)城市從2000年到2020年的碳儲(chǔ)量和排放進(jìn)行了深入分析。利用PLUS模型，本研究在多種未來(lái)情景下預(yù)測(cè)土地利用/覆蓋數(shù)據(jù)，包括自然發(fā)展（ND）和生態(tài)保護(hù)（EP）。此外，研究還開(kāi)發(fā)了基于六個(gè)影響因素的Bi-LSTM深度學(xué)習(xí)模型來(lái)模擬碳排放。研究還考察了碳預(yù)算和平衡的時(shí)空變化。研究結(jié)果揭示了幾個(gè)重要結(jié)論：

PLUS模型在預(yù)測(cè)未來(lái)土地利用類(lèi)型方面顯示出高預(yù)測(cè)精度，平均總體準(zhǔn)確度超過(guò)0.89，Kappa值為0.8568；Bi-LSTM模型在所有競(jìng)爭(zhēng)模型中準(zhǔn)確度最高，R2得分達(dá)到0.864。
在2020年至2030年的EP情景下，碳儲(chǔ)量下降速率有所減緩（避免了6.44×10^6噸碳儲(chǔ)量的消失），土地利用效率顯著提高。由于生態(tài)用地的保護(hù)，產(chǎn)生了一定的碳匯效應(yīng)，導(dǎo)致區(qū)域碳排放量低于ND情景，強(qiáng)調(diào)了設(shè)定生態(tài)紅線(xiàn)對(duì)碳儲(chǔ)量?jī)?yōu)化的重要性和必要性。
碳支付區(qū)域主要集中在城市中心，隨著時(shí)間的推移，這些區(qū)域和碳補(bǔ)償區(qū)域各占總面積的一半。
在不同情景下，建設(shè)用地的碳平衡已部分緩解，總體趨勢(shì)正在向有利方向發(fā)展。

這些發(fā)現(xiàn)為城市規(guī)劃者和決策者提供了寶貴的信息，幫助他們?cè)趯?shí)現(xiàn)碳達(dá)峰和碳中和目標(biāo)的過(guò)程中做出更明智的決策。通過(guò)優(yōu)化土地利用和加強(qiáng)生態(tài)保護(hù)，可以有效地減緩碳儲(chǔ)量下降速率，提高土地利用效率，并促進(jìn)區(qū)域碳排放的減少。此外，研究還強(qiáng)調(diào)了在城市中心區(qū)域和碳補(bǔ)償區(qū)域之間平衡碳支付的重要性，以及在不同情景下對(duì)建設(shè)用地碳平衡的影響。

論文12

District-wise evaluation of meteorological factors and outdoor thermal?comfort in India using UTCI – Insight into future climatic scenario
印度各區(qū)域氣象因素與戶(hù)外熱舒適度評(píng)估：使用UTCI對(duì)未來(lái)氣候情景的洞察
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【摘要】The study aims to comprehensively analyze outdoor meteorological conditions and thermal comfort across 592 districts in India, addressing the critical issues of thermal comfort which significantly impacts health, well-being and productivity. Given the anticipated global warming, understanding these factors becomes crucial, particularly for low-income populations who spend considerable time outdoors. While most previous studies in India have focused on indoor environments or on broad climatic regions, our research provides a granular analysis at the district level, incorporating future climate scenarios from 2050 to 2080. Using the Universal Thermal Climate Index (UTCI), our findings reveal that the northwestern part of India experiences ‘Strong’ to ‘Extreme’ heat stress, with temperatures exceeding 50 °C, while the Himalayan regions face ‘Strong’ cold stress, with temperatures dropping below -20 °C. The geographical distribution of UTCI classes shows that the western and central regions suffer from high thermal stress during summer afternoons, whereas coastal areas, benefiting from higher relative humidity and wind speeds, exhibit moderate UTCI values. The Himalayan regions consistently present lower UTCI values, indicating colder conditions. We have developed a district-wise climate atlas of India, mapping key environmental parameters and the outdoor thermal stress of UTCI values. The main objective of this study is to provide localized insights into how climate change will affect outdoor thermal comfort, facilitating informed decision-making for public health planning, energy infrastructure, and climate adaptation strategies across India.
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【摘要翻譯】
本研究旨在全面分析印度592個(gè)區(qū)域的戶(hù)外氣象條件和熱舒適度，解決熱舒適度這一對(duì)健康、福祉和生產(chǎn)力產(chǎn)生重大影響的關(guān)鍵問(wèn)題。鑒于全球變暖的預(yù)期，了解這些因素變得至關(guān)重要，特別是對(duì)于在戶(hù)外花費(fèi)大量時(shí)間的低收入人群。雖然印度以往的大多數(shù)研究都集中在室內(nèi)環(huán)境或廣泛的氣候區(qū)域，但我們的研究提供了一個(gè)更細(xì)致的區(qū)域級(jí)分析，并結(jié)合了2050年至2080年的未來(lái)氣候情景。使用普遍熱氣候指數(shù)（UTCI），我們的研究結(jié)果顯示，印度西北部地區(qū)經(jīng)歷了“強(qiáng)烈”至“極端”的熱應(yīng)力，氣溫超過(guò)50°C，而喜馬拉雅地區(qū)面臨“強(qiáng)烈”的冷應(yīng)力，氣溫降至-20°C以下。UTCI類(lèi)別的地理分布表明，西部和中部地區(qū)在夏季下午遭受高熱應(yīng)力，而沿海地區(qū)則因相對(duì)濕度和風(fēng)速較高而展現(xiàn)出溫和的UTCI值。喜馬拉雅地區(qū)一直呈現(xiàn)較低的UTCI值，表明條件較冷。我們開(kāi)發(fā)了一個(gè)印度區(qū)域級(jí)氣候圖集，繪制了關(guān)鍵環(huán)境參數(shù)和UTCI值的戶(hù)外熱應(yīng)力。本研究的主要目標(biāo)是提供關(guān)于氣候變化將如何影響戶(hù)外熱舒適度的本地化洞察，為印度的公共衛(wèi)生規(guī)劃、能源基礎(chǔ)設(shè)施和氣候適應(yīng)策略提供明智的決策支持。

論文13

Exploring the cooling potential of green roofs for mitigating diurnal heat island intensity by utilizing Lidar and Artificial Neural Network
探索綠色屋頂?shù)慕禍貪摿σ詼p輕晝夜熱島強(qiáng)度：利用激光雷達(dá)和人工神經(jīng)網(wǎng)絡(luò)
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【摘要】Urban areas frequently exhibit higher elevated temperatures than their rural counterparts due to the prevalence of structures over natural resources, a phenomenon known as daytime surface urban heat island (DSUHI). This study simulates the cooling effects of green roofs (GR) for mitigating DSUHI by utilizing 2D and 3D urban morphological parameters over downtown Austin, Texas, USA. We estimated spectral indices using Landsat 8, Sentinel-2A, and Lidar data to include built-up, vegetation, waterbodies, daytime land surface temperature (DLST), buildings (height volume and density), sky view factor (SVF), and solar radiation (SR). Finally, we integrated eleven different neural network algorithms for GR simulation, validation, and correlation between DLST and the above urban features- the strongest model generated an R2of 0.783 and an RMSE of 0.925°F. We found converting 4.2% of the total rooftop area to GR resulted in an average DLST decrease of 2.80°F. The most significant cooling effects occurred with buildings heights between 13 and 28 m, high SVFs, SR, and closer proximity to water bodies. Our findings amplify the strategic importance of GRs in urban morphology and planning, guiding green infrastructure development to mitigate and foster urban environment sustainability.
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【摘要翻譯】
城市區(qū)域由于建筑物比自然資源多，常常表現(xiàn)出比農(nóng)村地區(qū)更高的溫度，這種現(xiàn)象被稱(chēng)為白天表面城市熱島效應(yīng)（DSUHI）。本研究通過(guò)利用德克薩斯州奧斯汀市中心的二維和三維城市形態(tài)參數(shù)，模擬綠色屋頂（GR）減輕DSUHI的冷卻效果。我們使用Landsat 8、Sentinel-2A和激光雷達(dá)數(shù)據(jù)估算了包括建筑、植被、水體、白天地表溫度（DLST）、建筑物（高度體積和密度）、天空視野因子（SVF）和太陽(yáng)輻射（SR）在內(nèi)的光譜指數(shù)。最后，我們集成了十一種不同的神經(jīng)網(wǎng)絡(luò)算法對(duì)GR進(jìn)行模擬、驗(yàn)證以及DLST與上述城市特征之間的相關(guān)性分析——最強(qiáng)的模型產(chǎn)生了0.783的R2值和0.925°F的均方根誤差（RMSE）。我們發(fā)現(xiàn)將4.2%的總屋頂面積轉(zhuǎn)換為GR可以在平均DLST上降低2.80°F。最顯著的冷卻效果出現(xiàn)在建筑物高度在13至28米之間、高SVF、高SR以及靠近水體的地方。我們的發(fā)現(xiàn)強(qiáng)調(diào)了GR在城市形態(tài)和規(guī)劃中的戰(zhàn)略重要性，指導(dǎo)綠色基礎(chǔ)設(shè)施的發(fā)展，以減輕城市熱島效應(yīng)并促進(jìn)城市環(huán)境的可持續(xù)性。

論文14

Association of anthropogenic heat with asthma and related symptoms among children in China: A novel index reflecting climate change

人為熱與中國(guó)兒童哮喘及相關(guān)癥狀的關(guān)聯(lián)：反映氣候變化的新指數(shù)

【摘要】

Background

Anthropogenic heat (AH) is defined as the significant release of waste heat into the environment due to human activities, serving as a controllable heat source contributing to global climate change. However, epidemiological evidence establishing a clear association between AH and childhood asthma is currently lacking.

Objectives

To explore the relationship between children's exposure to AH and asthma, as well as its related symptoms.

Methods

This population-based cross-sectional study, part of the National Chinese Children Health Study from 2012 to 2018, involved 188,145 children aged 6 to 18 years. We used multisource remote sensing images and ancillary data to estimate AH exposure. Data on asthma symptoms were collected through validated self-reported questionnaires. A generalized linear mixed model was applied to determine the associations.

Results

Our findings indicate a positive correlation between AH exposure and asthma risk in children. An interquartile range (IQR) increase in total AH was linked to higher odds of current asthma (OR: 1.15, 95 % CI: 1.10, 1.20) after adjusting for covariates. Categorizing AH by source, industrial AH exhibited the strongest effect, with an increased risk of current asthma (OR: 1.16, 95 % CI: 1.11, 1.22). Notably, younger children exhibited stronger associations between AH exposure and asthma-related symptoms, with boys showing heightened susceptibility, particularly for persistent cough.

Conclusion

This study suggests that exposure to AH may elevate the risk of asthma and related symptoms, particularly in boys and younger children. Providing a foundation for developing practical strategies to mitigate the adverse impacts of global warming on respiratory health, while also guiding the formulation and evaluation of climate action and public health policies, and supporting sustainable urban development.

【摘要翻譯】
背景：人為熱（AH）是指由于人類(lèi)活動(dòng)導(dǎo)致的大量廢熱排放到環(huán)境中，作為一種可控的熱源，它對(duì)全球氣候變化有所貢獻(xiàn)。然而，目前缺乏流行病學(xué)證據(jù)來(lái)明確建立AH與兒童哮喘之間的直接關(guān)聯(lián)。

目標(biāo)：探索兒童接觸AH與哮喘及其相關(guān)癥狀之間的關(guān)系。

方法：這項(xiàng)基于人群的橫斷面研究是2012年至2018年國(guó)家中國(guó)兒童健康研究的一部分，涉及188,145名6至18歲的兒童。我們使用多源遙感圖像和輔助數(shù)據(jù)來(lái)估算AH暴露。通過(guò)驗(yàn)證的自報(bào)問(wèn)卷收集哮喘癥狀數(shù)據(jù)。應(yīng)用廣義線(xiàn)性混合模型來(lái)確定關(guān)聯(lián)。

結(jié)果：我們的發(fā)現(xiàn)表明，AH暴露與兒童哮喘風(fēng)險(xiǎn)之間存在正相關(guān)。在調(diào)整混雜因素后，總AH的四分位數(shù)范圍（IQR）增加與當(dāng)前哮喘的幾率更高（OR：1.15，95% CI：1.10，1.20）相關(guān)。按來(lái)源對(duì)AH進(jìn)行分類(lèi)，工業(yè)AH顯示出最強(qiáng)的效應(yīng)，增加了當(dāng)前哮喘的風(fēng)險(xiǎn)（OR：1.16，95% CI：1.11，1.22）。值得注意的是，年幼兒童表現(xiàn)出AH暴露與哮喘相關(guān)癥狀之間更強(qiáng)的關(guān)聯(lián)，男孩顯示出更高的易感性，特別是對(duì)于持續(xù)咳嗽。

結(jié)論：這項(xiàng)研究表明，接觸AH可能會(huì)增加哮喘及相關(guān)癥狀的風(fēng)險(xiǎn)，特別是在男孩和年幼兒童中。這為制定實(shí)際策略以減輕全球變暖對(duì)呼吸健康的不利影響提供了基礎(chǔ)，同時(shí)也指導(dǎo)了氣候行動(dòng)和公共衛(wèi)生政策的制定和評(píng)估，并支持可持續(xù)的城市發(fā)展。

論文15

A multi-stakeholder engagement framework for material-building-city synergy through circular transformation

多方利益相關(guān)者參與框架：通過(guò)循環(huán)轉(zhuǎn)型實(shí)現(xiàn)材料-建筑-城市協(xié)同
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【摘要】Scholars, industrial stakeholders, and governmental institutions are developing the circular economy paradigm. However, the emergence of multiple perspectives has challenged its implementation. As the industry that is the biggest contributor to the negative impacts on the environment, the construction industry stakeholders are paving the way for more sustainable as well as circular and regenerative construction by considering all actors in the system. Yet, the construction industry has a complex supply chain that requires clear strategies and stakeholder engagement across materials, buildings, and cities for efficient flows in the supply chain. Nonetheless, there is a need for improvement in the engagement of construction stakeholders for circular transformation. Therefore, this study aims to develop a multi-stakeholder engagement framework through circular transformation to guide the decision-makers for circular city governance. It has identified critical success factors by considering the construction stakeholders. The framework includes strategies at themicro (material), meso (building), and macro (city)?scales to strengthen the material-building-city synergy. It's a significant step toward advancing circular city governance by bridging the gap between theoretical understanding and practical implementation and establishing a robust engagement for material-building-city synergy. The study employs a systematic literature review to extract strategies and natural language processing to analyze the strategies by topic modeling and defines critical success factors for multi-stakeholder engagement at multiscale. The outcome introduces the REVERT framework, bridging?resource, envisagement, validation, entity, regulation, and technology, to facilitate a seamless transition by material-building-city synergy advancing circular city governance.
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【摘要翻譯】
學(xué)者、產(chǎn)業(yè)利益相關(guān)者和政府機(jī)構(gòu)正在發(fā)展循環(huán)經(jīng)濟(jì)范式。然而，多種觀點(diǎn)的出現(xiàn)對(duì)其實(shí)施提出了挑戰(zhàn)。建筑業(yè)作為對(duì)環(huán)境產(chǎn)生負(fù)面影響最大的行業(yè)，正在通過(guò)考慮系統(tǒng)中的所有參與者，為更可持續(xù)、循環(huán)和再生的建筑鋪平道路。然而，建筑業(yè)擁有復(fù)雜的供應(yīng)鏈，需要明確的戰(zhàn)略和利益相關(guān)者參與，以實(shí)現(xiàn)材料、建筑和城市間供應(yīng)鏈的高效流動(dòng)。盡管如此，建筑業(yè)在循環(huán)轉(zhuǎn)型中的利益相關(guān)者參與仍需改進(jìn)。因此，本研究旨在通過(guò)循環(huán)轉(zhuǎn)型開(kāi)發(fā)一個(gè)多方利益相關(guān)者參與框架，以指導(dǎo)決策者進(jìn)行循環(huán)城市治理。它通過(guò)考慮建筑業(yè)利益相關(guān)者，識(shí)別了成功的關(guān)鍵因素。該框架包括在微觀（材料）、中觀（建筑）和宏觀（城市）層面的策略，以加強(qiáng)材料-建筑-城市協(xié)同效應(yīng)。這是向推進(jìn)循環(huán)城市治理邁出的重要一步，它彌合了理論理解和實(shí)踐實(shí)施之間的差距，并為材料-建筑-城市協(xié)同建立了堅(jiān)實(shí)的參與基礎(chǔ)。研究采用系統(tǒng)文獻(xiàn)綜述來(lái)提取策略，并通過(guò)主題建模和自然語(yǔ)言處理來(lái)分析策略，并定義了多方利益相關(guān)者參與多尺度成功的關(guān)鍵因素。研究結(jié)果引入了REVERT框架，連接資源、構(gòu)想、驗(yàn)證、實(shí)體、法規(guī)和技術(shù)，以促進(jìn)材料-建筑-城市協(xié)同，推動(dòng)循環(huán)城市治理的無(wú)縫過(guò)渡。

論文16

Two-stage optimal scheduling for flexibility and resilience tradeoff of PV-battery building via smart grid communication
通過(guò)智能電網(wǎng)通信實(shí)現(xiàn)光伏-電池建筑靈活性與韌性權(quán)衡的兩階段最優(yōu)調(diào)度
【摘要】Energy flexibility and energy resilience are now becoming new key features of building energy systems under the context of climate change and energy transition. During the system operation phase, these two performance indexes might be contradictory and require tradeoff. The main contribution of this study is to propose a two-stage mixed-integer linear programming (MILP) model to optimally tradeoff between flexibility and resilience. Its main idea is to improve the resilience of building energy system with minimum constraints on system flexibility using the outage risk information provided by smart grid. Two new concepts are considered in the proposed method, including self-sufficient requirement and continuous outage probability. The insight is to add additional penalty for the time step in which its battery state of charge (SOC) is far from self-sufficient requirement while the corresponding continuous outage probability is high. To validate our proposed method, a probabilistic outage simulation model is developed using sigmoid function and Markov Chain. Comprehensive numerical studies are conducted to compare the proposed method with traditional economic mode and backup mode under two outage patterns. The results demonstrate that the proposed method only uses 6.7 % additional operation cost such that 78.3 % of baseload curtailment and 81.1 % of user discomfort are reduced. The proposed MILP model can provide practical guideline for the flexibility and resilience tradeoff of distributed energy resources.

【摘要翻譯】
能源靈活性和能源韌性在氣候變化和能源轉(zhuǎn)型的背景下，正成為建筑能源系統(tǒng)的兩個(gè)新的關(guān)鍵特征。在系統(tǒng)運(yùn)行階段，這兩個(gè)性能指標(biāo)可能是矛盾的，需要進(jìn)行權(quán)衡。本研究的主要貢獻(xiàn)是提出一個(gè)兩階段混合整數(shù)線(xiàn)性規(guī)劃（MILP）模型，以最優(yōu)方式在靈活性和韌性之間進(jìn)行權(quán)衡。其主要思想是利用智能電網(wǎng)提供的停電風(fēng)險(xiǎn)信息，以最小的系統(tǒng)靈活性約束提高建筑能源系統(tǒng)的韌性。在提出的方法中考慮了兩個(gè)新概念，包括自給自足要求和連續(xù)停電概率。洞察是在電池充電狀態(tài)（SOC）遠(yuǎn)離自給自足要求，而相應(yīng)的連續(xù)停電概率高的時(shí)間步驟中增加額外的懲罰。為了驗(yàn)證我們提出的方法，使用sigmoid函數(shù)和馬爾可夫鏈開(kāi)發(fā)了一個(gè)概率停電模擬模型。進(jìn)行了全面的數(shù)值研究，比較了在兩種停電模式下提出的方法與傳統(tǒng)經(jīng)濟(jì)模式和備用模式。結(jié)果表明，提出的方法僅使用6.7%的額外運(yùn)營(yíng)成本，就可以減少78.3%的基本負(fù)荷削減和81.1%的用戶(hù)不適。提出的MILP模型可以為分布式能源資源的靈活性和韌性權(quán)衡提供實(shí)際指導(dǎo)。

論文17

How to evaluate the reduction effect of the park on PM2.5? Exploratory application of the maximum and cumulative perspective
如何評(píng)估公園對(duì)PM2.5的減少效果？最大和累積視角的探索性應(yīng)用
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【摘要】Urban parks have been widely proved to be effective in reducing particulate matter pollution, but there is still a knowledge gap in quantitatively evaluating their reduction effects. The purpose of this study is to develop a new method to quantify the reduction effect of PM2.5in urban parks through high-precision spatio-temporal monitoring experiments in 22 typical urban parks in Shenyang, China, so as to fill this gap. In this study, the cubic polynomial function model was used for the first time to establish the relationship curve between PM2.5?concentration inside and outside the park at different distances. The results showed that the park PM2.5?reduction magnitude and distance were about 5.04–10.14 ug/m3?and 149.47–150.19 m, respectively. Partial correlation analysis revealed that the relationship between the reduction evaluation indexes and the environmental factors had time heterogeneity. The park's internal characteristics and surrounding building environment was the key factor affecting the park PM2.5?reduction effect. In addition, parks smaller than 4.71 hm2?demonstrated better PM2.5?reduction efficiency. In conclusion, this study provides a new quantitative approach to evaluating the park PM2.5?reduction effect and offers data-driven insights for optimizing park planning to enhance the permeability of these effects beyond park boundaries.
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【摘要翻譯】城市公園已被廣泛證明在減少顆粒物污染方面是有效的，但在定量評(píng)估它們的減少效果方面仍存在知識(shí)空白。本研究的目的是通過(guò)在中國(guó)沈陽(yáng)22個(gè)典型城市公園進(jìn)行高精度時(shí)空監(jiān)測(cè)實(shí)驗(yàn)，開(kāi)發(fā)一種新的方法來(lái)量化城市公園中PM2.5的減少效果，以填補(bǔ)這一空白。在這項(xiàng)研究中，首次使用三次多項(xiàng)式函數(shù)模型建立了公園內(nèi)外不同距離下PM2.5濃度之間的關(guān)系曲線(xiàn)。結(jié)果表明，公園PM2.5減少的幅度和距離分別約為5.04-10.14微克/立方米和149.47-150.19米。偏相關(guān)分析揭示了減少評(píng)估指標(biāo)與環(huán)境因素之間的關(guān)系具有時(shí)間異質(zhì)性。公園的內(nèi)部特征和周?chē)ㄖh(huán)境是影響公園PM2.5減少效果的關(guān)鍵因素。此外，小于4.71公頃的公園顯示出更好的PM2.5減少效率。總之，本研究提供了一種新的量化評(píng)估公園PM2.5減少效果的方法，并為優(yōu)化公園規(guī)劃提供了數(shù)據(jù)驅(qū)動(dòng)的洞見(jiàn)，以增強(qiáng)這些效果在公園邊界之外的滲透性。

論文18

Reducing uncertainty of building shape information in urban building energy modeling using Bayesian calibration
使用貝葉斯校準(zhǔn)減少城市建筑能源建模中建筑形狀信息的不確定性
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【摘要】This study proposes urban building energy modeling that extends beyond single-building-level models to the urban level. However, most urban building energy models use representative buildings that may not accurately reflect the diversity of building shapes, systems, and envelope performance when conducting building energy evaluations at the urban scale. To address this issue, previous studies have utilized representative buildings and Bayesian calibration to estimate uncertain building information parameters without considering building shape information. Therefore, the primary objective of this study is to estimate building shape information using artificial neural networks and Bayesian calibration based on building energy consumption data to identify the shape information uncertainty of representative buildings. The results indicate that some shape information can be estimated by comparing the overall distribution of the building stock using the two-sample Kolmogorov–Smirnov test. Furthermore, we found that the proposed energy modeling methodology yields energy consumption patterns similar to those of the target building stock. This preliminary investigation addresses the uncertainty of representative buildings in urban-scale modeling, elucidates the relationship between building form and energy consumption, and introduces a method for inferring shape information from energy consumption data.
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【摘要翻譯】本研究提出了一種城市建筑能源建模方法，該方法超越了單一建筑層面的模型，擴(kuò)展到城市層面。然而，大多數(shù)城市建筑能源模型使用代表性建筑，這可能無(wú)法準(zhǔn)確反映在城市尺度進(jìn)行建筑能源評(píng)估時(shí)建筑形狀、系統(tǒng)和圍護(hù)結(jié)構(gòu)性能的多樣性。為了解決這個(gè)問(wèn)題，以往的研究利用代表性建筑和貝葉斯校準(zhǔn)來(lái)估計(jì)不確定的建筑信息參數(shù)，而沒(méi)有考慮建筑形狀信息。因此，本研究的主要目標(biāo)是利用人工神經(jīng)網(wǎng)絡(luò)和貝葉斯校準(zhǔn)基于建筑能耗數(shù)據(jù)來(lái)估計(jì)建筑形狀信息，以識(shí)別代表性建筑的形狀信息不確定性。結(jié)果表明，一些形狀信息可以通過(guò)使用雙樣本Kolmogorov–Smirnov檢驗(yàn)比較建筑存量的整體分布來(lái)估計(jì)。此外，我們發(fā)現(xiàn)提出的能源建模方法產(chǎn)生的能耗模式與目標(biāo)建筑存量的模式相似。這項(xiàng)初步調(diào)查解決了城市尺度建模中代表性建筑的不確定性問(wèn)題，闡明了建筑形態(tài)與能耗之間的關(guān)系，并介紹了一種從能耗數(shù)據(jù)中推斷形狀信息的方法。
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論文19

Spatio-temporal modeling of asthma-prone areas: Exploring the influence of urban climate factors with explainable artificial intelligence (XAI)
時(shí)空建模哮喘易發(fā)區(qū)域：探索城市氣候因素的影響與可解釋人工智能（XAI）
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【摘要】Urbanization's impact on climate is increasingly recognized as a significant public health challenge, particularly for respiratory conditions like asthma. Despite progress in understanding asthma, a critical gap remains regarding the interaction between urban environmental factors and asthma-prone areas. This study addresses this gap by applying innovative spatio-temporal modeling techniques with explainable artificial intelligence (XAI). Using data from 872 asthma patients in Tehran, Iran, and 19 factors affecting asthma exacerbations, including climate and air pollution, spatio-temporal modeling was conducted using XGBoost (eXtreme Gradient Boosting) algorithm optimization by the Bat algorithm (BA). Evaluation of asthma-prone area maps using receiver operating characteristic (ROC) curves revealed accuracies of 97.3 % in spring, 97.5 % in summer, 97.8 % in autumn, and 98.4 % in winter. Interpretability analysis of the XGBoost model utilizing the SHAP (Shapley Additive exPlanations) method highlighted rainfall in spring and autumn and temperature in summer and winter as having the most significant impacts on asthma. Particulate matter (PM2.5) in spring, carbon monoxide (CO) in summer, ozone (O3) in autumn, and PM10in winter exhibited the most substantial effects among air pollution factors. This research enhances understanding of asthma dynamics in urban environments, informing targeted interventions for urban planning strategies to mitigate adverse health consequences of urbanization.
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【摘要翻譯】城市化對(duì)氣候的影響日益被認(rèn)為是一個(gè)重大的公共衛(wèi)生挑戰(zhàn)，尤其是對(duì)哮喘等呼吸系統(tǒng)疾病。盡管在理解哮喘方面取得了一定進(jìn)展，但關(guān)于城市環(huán)境因素與哮喘易發(fā)區(qū)域之間相互作用的關(guān)鍵空白仍然存在。本研究通過(guò)應(yīng)用創(chuàng)新的時(shí)空建模技術(shù)和可解釋人工智能（XAI）來(lái)填補(bǔ)這一空白。研究使用了來(lái)自伊朗德黑蘭的872名哮喘患者的數(shù)據(jù)，以及19個(gè)影響哮喘加重的因素，包括氣候和空氣污染，利用極端梯度提升（XGBoost）算法，通過(guò)蝙蝠算法（BA）進(jìn)行優(yōu)化。使用接收操作特征（ROC）曲線(xiàn)評(píng)估哮喘易發(fā)區(qū)域地圖的準(zhǔn)確性，結(jié)果顯示春季為97.3%，夏季為97.5%，秋季為97.8%，冬季為98.4%。利用SHAP（Shapley加性解釋）方法對(duì)XGBoost模型的可解釋性分析顯示，春季和秋季的降雨量以及夏季和冬季的溫度對(duì)哮喘影響最大。在空氣污染因素中，春季的細(xì)顆粒物（PM2.5）、夏季的一氧化碳（CO）、秋季的臭氧（O3）和冬季的PM10對(duì)哮喘的影響最為顯著。這項(xiàng)研究增強(qiáng)了對(duì)城市環(huán)境中哮喘動(dòng)態(tài)的理解，為城市規(guī)劃策略的針對(duì)性干預(yù)提供了信息，以減輕城市化對(duì)健康的不利影響。
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論文20

Expanding the associations between built environment characteristics and residential mobility in high-density neighborhood unit
擴(kuò)展高密度鄰里單位中建成環(huán)境特征與居民流動(dòng)性的關(guān)聯(lián)性研究
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【摘要】Global trend of urbanization has led to frequent residential mobility and urban shrinkage issues. Planners and policy makers advocate for enhancing built environment quality of neighbourhood units to address these issues. Although the impact factors and degree of the influence of the built environment on residential mobility have been studied, the nonlinear effects at the neighbourhood level, and the relative importance when considered alongside other factors, remain unclear. In this study, the central area of Nanjing using mobile phone signalling data, the 5Ds framework, machine learning algorithms, and interpretable model Shapley Additive exPlanations (SHAP) are examined. The finding shows that (1) economy and neighbourhood ties are still key drivers of relocation. (2) Optimizing highly accessible road network for short-distance travel and developing low-density urban mode has become significant methods to attract relocators, interacting with other factors to influence residential mobility. (3) High-quality neighbourhood design, diverse amenities, and proximity to natural landscapes increase willingness to relocate, (4) while religion, socio-demographics, and large-scale transportation accessibility have minimal impact. The study offers four urban development recommendations to help municipal planners and policy makers create liveable cities and cohesive communities, providing essential insights for early or renewal stage urban planning stages.
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【摘要翻譯】全球城市化趨勢(shì)導(dǎo)致了頻繁的居民流動(dòng)性和城市收縮問(wèn)題。規(guī)劃者和政策制定者提倡提升鄰里單位的建成環(huán)境質(zhì)量，以解決這些問(wèn)題。盡管已對(duì)建成環(huán)境對(duì)居民流動(dòng)性的影響因素和影響程度進(jìn)行了研究，但鄰里層面的非線(xiàn)性效應(yīng)，以及與其他因素并考慮時(shí)的相對(duì)重要性仍不明確。在本研究中，通過(guò)使用手機(jī)信號(hào)數(shù)據(jù)、5Ds框架、機(jī)器學(xué)習(xí)算法以及可解釋模型Shapley Additive exPlanations (SHAP)，對(duì)南京中心區(qū)域進(jìn)行了考察。研究發(fā)現(xiàn)：（1）經(jīng)濟(jì)和鄰里聯(lián)系仍是遷移的關(guān)鍵驅(qū)動(dòng)因素。（2）優(yōu)化高可達(dá)性的道路網(wǎng)絡(luò)以適應(yīng)短途出行，發(fā)展低密度城市模式已成為吸引遷移者的重要方法，這些因素與其他因素相互作用，影響居民流動(dòng)性。（3）高質(zhì)量的鄰里設(shè)計(jì)、多樣化的便利設(shè)施以及靠近自然景觀增加了遷移的意愿，（4）而宗教、社會(huì)人口統(tǒng)計(jì)特征和大規(guī)模交通可達(dá)性對(duì)遷移的影響較小。本研究為城市規(guī)劃者和政策制定者提供了四項(xiàng)城市發(fā)展建議，以幫助他們創(chuàng)建宜居城市和凝聚力強(qiáng)的社區(qū)，為城市規(guī)劃和更新階段的早期提供了重要見(jiàn)解。
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論文21

Spatial optimization of land use and carbon storage prediction in urban agglomerations under climate change: Different scenarios and multiscale perspectives of CMIP6

氣候變化下城市群土地利用空間優(yōu)化與碳儲(chǔ)存預(yù)測(cè)：CMIP6的不同情景與多尺度視角
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【摘要】Land use/land cover (LULC) structure optimization can effectively increase carbon storage/carbon sequestration (CS) and help realize carbon neutrality goals1. Studying the spatial distributions of LULC and CS under climate change conditions is highly important for realizing sustainable development goals. This study is based on different climate change models, and the coordinated development of economic, water, carbon and ecological sustainability was considered to establish a comprehensive multiscale, multiscenario and multiobjective LULC optimization model. Then, different climate change scenarios were optimized, and regional CS values were predicted. The LULC simulation model provided satisfactory simulation results at different scales. Notably, the average accuracy exceeded 0.92. The optimized land expansion results exhibited heterogeneity. Forestland change accounted for the largest proportion of the total LULC change. After optimization, the CS values under the different scenarios were similar. The northwestern part of the study area served as the main carbon sink area. The aim of this study was to respond to future complex climate change by rationally planning the LULC structure, thus achieving the sustainable development of urban agglomerations.
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【摘要翻譯】土地利用/土地覆蓋（LULC）結(jié)構(gòu)優(yōu)化能有效提升碳儲(chǔ)存/碳固存（CS）能力，有助于實(shí)現(xiàn)碳中和目標(biāo)。研究氣候變化條件下LULC和CS的空間分布對(duì)于實(shí)現(xiàn)可持續(xù)發(fā)展目標(biāo)至關(guān)重要。本研究基于不同的氣候變化模型，考慮經(jīng)濟(jì)、水資源、碳和生態(tài)可持續(xù)性的協(xié)調(diào)發(fā)展，建立了一個(gè)全面的多尺度、多情景、多目標(biāo)LULC優(yōu)化模型。隨后，對(duì)不同的氣候變化情景進(jìn)行了優(yōu)化，并預(yù)測(cè)了區(qū)域CS值。LULC模擬模型在不同尺度上提供了滿(mǎn)意的模擬結(jié)果，平均準(zhǔn)確度超過(guò)0.92。優(yōu)化后的土地?cái)U(kuò)張結(jié)果表現(xiàn)出異質(zhì)性，其中森林地變化占據(jù)了總LULC變化的最大比例。優(yōu)化后，不同情景下的CS值相似，研究區(qū)域西北部作為主要的碳匯區(qū)。本研究旨在通過(guò)合理規(guī)劃LULC結(jié)構(gòu)來(lái)應(yīng)對(duì)未來(lái)復(fù)雜的氣候變化，從而實(shí)現(xiàn)城市群的可持續(xù)發(fā)展。

論文22

Health impacts of climate resilient city development: Evidence from China
氣候韌性城市發(fā)展對(duì)健康的影響：來(lái)自中國(guó)的證據(jù)
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【摘要】This study examines the health impacts of Climate Resilient City (CRC) policies using a difference-in-differences methodology. Our findings demonstrate that CRC policies significantly improve public health, particularly benefiting vulnerable populations and residents in regions with extreme temperatures. Mechanism analysis reveals that these policies enhance urban climate resilience through improved water management, air pollution reduction, energy conservation, and strengthened social capital. Moreover, our results show that CRC policies help reduce health disparities linked to differences in medical resources and climate conditions. This study provides crucial insights for policymakers in designing effective climate and public health strategies, emphasizing the importance of climate-resilient urban development.
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【摘要翻譯】本研究采用差分差分法檢驗(yàn)了氣候韌性城市（CRC）政策對(duì)健康的影響。我們的研究發(fā)現(xiàn)，CRC政策顯著提升了公共健康水平，特別是對(duì)弱勢(shì)群體和極端氣溫地區(qū)的居民有益。機(jī)制分析揭示，這些政策通過(guò)改善水資源管理、減少空氣污染、節(jié)約能源和加強(qiáng)社會(huì)資本，增強(qiáng)了城市的氣候韌性。此外，我們的結(jié)果顯示，CRC政策有助于減少與醫(yī)療資源差異和氣候條件相關(guān)的健康不平等。本研究為政策制定者在設(shè)計(jì)有效的氣候和公共衛(wèi)生策略時(shí)提供了關(guān)鍵見(jiàn)解，強(qiáng)調(diào)了氣候韌性城市發(fā)展的的重要性。
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論文23

Responding to “city cooling action”: Assessing and visualizing community-level urban park cooling service performance in Nanjing, China
應(yīng)對(duì)“城市降溫行動(dòng)”：評(píng)估和可視化南京城市公園社區(qū)層面的降溫服務(wù)性能
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【摘要】Although previous studies have confirmed the urban park cooling effects (UPCE), it is unclear how their cooling services are connected to and equitably distributed among users. In response to the "urban cooling action" in cities across China, this study links the cooling intensity and multimodal Ga2SFCA (MM-Ga2SFCA) to develop a methodology framework to assess the community-level urban park cooling service performance (UPCSP) per capita. Taking the highly urbanized Nanjing central districts (NCDs) as an example, the main conclusions are: (1) The average cooling magnitude of 200 parks on August 12, 2022, September 18, 2021 and October 4, 2021 was 2.22 °C; the average maximum cooling scale (MCS), maximum cooling efficiency (MCE), cumulative cooling intensity (CCI) and cumulative cooling gradient (CCG) were 41.29 ha, 2.99 times, 89.41 °C*m2 and 0.70 °C, respectively. (2) The average comprehensive service performance of 545 communities within 5, 10, and 15 min were 117.97 °C*m2, 212.04 °C*m2, and 264.83 °C*m2, respectively. (3) The spatial differences of UPCSP were mainly affected by the spatial layout of urban parks and their internal and external physical environments. These findings can provide useful implications for improving and balancing the UPCSP among communities.
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【摘要翻譯】盡管先前的研究已經(jīng)證實(shí)了城市公園的降溫效果（UPCE），但它們的降溫服務(wù)如何與用戶(hù)相連，以及是否公平分配給用戶(hù)尚不清楚。為了響應(yīng)中國(guó)各城市的“城市降溫行動(dòng)”，本研究將降溫強(qiáng)度和多模式重力模型（MM-Ga2SFCA）相結(jié)合，開(kāi)發(fā)了一個(gè)方法框架，以評(píng)估人均社區(qū)層面的城市公園降溫服務(wù)性能（UPCSP）。以高度城市化的南京中心城區(qū)（NCDs）為例，主要結(jié)論如下：⑴ 2022年8月12日、2021年9月18日和2021年10月4日，200個(gè)公園的平均降溫幅度為2.22°C；平均最大降溫范圍（MCS）、最大降溫效率（MCE）、累計(jì)降溫強(qiáng)度（CCI）和累計(jì)降溫梯度（CCG）分別為41.29公頃、2.99倍、89.41°Cm2和0.70°C。⑵?在5分鐘、10分鐘和15分鐘步行范圍內(nèi)，545個(gè)社區(qū)的平均綜合服務(wù)性能分別為117.97°C*m2、212.04°C*m2和264.83°C*m2。⑶ UPCSP的空間差異主要受城市公園的空間布局及其內(nèi)部和外部的物理環(huán)境影響。這些發(fā)現(xiàn)可以為改善和平衡社區(qū)之間的UPCSP提供有用的啟示。

論文24

Analysis of the spatial characteristics and driving forces of underground consumer service space in Chinese megacities based on multi-source data
基于多源數(shù)據(jù)的中國(guó)特大城市地下消費(fèi)服務(wù)空間特征及驅(qū)動(dòng)因素分析

【摘要】Underground consumer service spaces (UCSS) offer new solutions for urban residents’ daily needs, but existing studies on their distribution and driving forces are often fragmented and overshadowed by research on other underground spaces, lacking targeted analysis. This study examines UCSS in the central urban areas of seven representative Chinese megacities. Using spatial analysis methods like kernel density estimation, multi-distance spatial clustering, and geographical detectors, the spatial characteristics and driving forces of UCSS are analyzed alongside aboveground consumer service spaces (ACSS). Results show that both ACSS and UCSS exhibit multi-centered, concentric spatial patterns, though UCSS demonstrates higher spatial aggregation. Unlike other underground public spaces (UPS), UCSS relies more on service industry agglomeration and market factors, while other UPS are more influenced by surrounding development intensity. UCSS follows the core principles of central place theory but deviates from the market-driven patterns typical of ACSS. Socioeconomic conditions and transportation infrastructure form the foundational basis for UCSS distribution, while service industry agglomeration, market dependence, and land development intensity exert more direct influence. The commercial atmosphere and existing underground space development play critical roles in UCSS distribution. Two key spatial scales for understanding UCSS distribution are the strong influence zones of shopping malls and metro stations, and high-density urban areas.
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【摘要翻譯】中國(guó)特大城市地下消費(fèi)服務(wù)空間（UCSS）為城市居民的日常需求提供了新的解決方案，但現(xiàn)有關(guān)于其分布和驅(qū)動(dòng)力的研究往往零散，且常常被其他地下空間研究掩蓋，缺乏針對(duì)性的分析。本研究考察了中國(guó)七個(gè)代表性特大城市中心區(qū)域的UCSS。通過(guò)運(yùn)用核密度估計(jì)、多距離空間聚類(lèi)和地理探測(cè)器等空間分析方法，對(duì)UCSS的空間特征及驅(qū)動(dòng)因素進(jìn)行了分析，并與地上消費(fèi)服務(wù)空間（ACSS）進(jìn)行了對(duì)比。研究結(jié)果顯示，ACSS和UCSS均呈現(xiàn)出多中心、同心圓的空間格局，但UCSS的空間集聚程度更高。與其他地下公共空間（UPS）不同，UCSS更依賴(lài)于服務(wù)業(yè)集聚和市場(chǎng)因素，而其他UPS則更多受周邊開(kāi)發(fā)強(qiáng)度的影響。UCSS遵循中心地理論的核心原則，但與ACSS的市場(chǎng)驅(qū)動(dòng)模式有所偏離。社會(huì)經(jīng)濟(jì)條件和交通基礎(chǔ)設(shè)施構(gòu)成了UCSS分布的基礎(chǔ)，而服務(wù)業(yè)集聚、市場(chǎng)依賴(lài)性和土地開(kāi)發(fā)強(qiáng)度則對(duì)其產(chǎn)生更直接的影響。商業(yè)氛圍和現(xiàn)有地下空間開(kāi)發(fā)在UCSS分布中扮演了關(guān)鍵角色。理解UCSS分布的兩個(gè)關(guān)鍵空間尺度是購(gòu)物中心的強(qiáng)影響區(qū)和地鐵站，以及高密度城市區(qū)域。

論文25

Heatwaves at work: Typology and spatial distributions of occupations exposed to heatwaves in Korea
熱浪下的工作：韓國(guó)暴露于熱浪的職業(yè)類(lèi)型與空間分布
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【摘要】Adapting to heatwaves and other climate change impacts requires identifying vulnerable demographic segments within regions. However, investigations into the spatial distribution of heatwave-vulnerable workers and its implications for local economies have been limited. This study categorizes occupations exposed to heatwaves into five subgroups and analyzes temporal changes in their spatial distributions via a spatial Markov chain model. The results indicate significant heterogeneity in vulnerability among heatwave-exposed occupations, with variations in income, foreign worker proportions, and job instability. The analysis reveals that heatwave-exposed workers are primarily concentrated outside the capital region. Group 3 (manufacturing) exhibited notable industrial clustering, whereas Group 5 (agriculture and fishery) presented high and stable concentrations in rural areas. Conversely, Group 4 (low-skilled and market-sensitive) demonstrates substantial spatial variability. Spatial Markov chain analysis highlights Group 3′s strong agglomeration tendencies influenced by neighboring cities, whereas Group 5 shows minimal spatial effects. Groups 2 and 4 experience considerable shifts in spatial distribution, with Group 2 showing only a 68.7 % probability of sustaining high concentration and Group 4 showing a 62.7 % probability. Recommendations for adaptation strategies and future research related to the economic impacts of climate change are provided on the basis of these findings.
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【摘要翻譯】適應(yīng)熱浪和其他氣候變化影響需要識(shí)別區(qū)域內(nèi)易受影響的群體。然而，對(duì)于熱浪易感工人的空間分布及其對(duì)當(dāng)?shù)亟?jīng)濟(jì)影響的研究一直較為有限。本研究將暴露于熱浪的職業(yè)分為五個(gè)子組，并通過(guò)空間馬爾可夫鏈模型分析了它們空間分布的時(shí)間變化。結(jié)果表明，暴露于熱浪的職業(yè)在脆弱性上存在顯著異質(zhì)性，包括收入、外籍工人比例和職業(yè)穩(wěn)定性方面的差異。分析顯示，熱浪易感工人主要集中在大首都圈之外。第三組（制造業(yè)）顯示出顯著的工業(yè)集聚現(xiàn)象，而第五組（農(nóng)業(yè)和漁業(yè)）在鄉(xiāng)村地區(qū)呈現(xiàn)高且穩(wěn)定的集中度。相反，第四組（低技能和市場(chǎng)敏感型）展現(xiàn)了大量的空間變異性?？臻g馬爾可夫鏈分析突出了第三組由于鄰近城市影響而強(qiáng)烈的集聚傾向，而第五組則顯示出最小的空間效應(yīng)。第二組和第四組在空間分布上經(jīng)歷了顯著的變化，其中第二組保持高集中度的概率僅為68.7%，第四組為62.7%。基于這些發(fā)現(xiàn)，本研究提供了適應(yīng)策略的建議和未來(lái)關(guān)于氣候變化經(jīng)濟(jì)影響的研究方向。
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論文26

A multi-objective robust dispatch strategy for renewable energy microgrids considering multiple uncertainties
針對(duì)可再生能源微電網(wǎng)的多目標(biāo)魯棒調(diào)度策略研究，考慮多種不確定性因素
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【摘要】The demand for low-carbon transformations and the uncertainty of renewable energy sources and loads present significant challenges for the optimal dispatch of microgrid. This study proposed a multi-objective robust dispatch strategy to reduce the risks associated with the uncertainty of renewable energy source output and loads while promoting low-carbon and economical microgrid operation. The economic emission dispatch problem for a microgrid was formulated as a multi-objective robust dual-layer optimization model. Consequently, a high-dimensional adjustable linear polyhedral uncertainty set was proposed to describe the uncertainty of renewable energy sources and loads. This study transformed the original model into an easy-to-solve single-layer second-order cone programming optimal power flow optimization model by employing second-order cone relaxation and duality transformation. Thereafter, a synthetic membership function was proposed to determine the optimal compromise solution. To determine the charging and discharging statuses of the battery storage system and the electricity traded between the microgrid and the external power grid, a battery storage system control strategy based on time-of-use electricity prices and real-time power flow calculations was proposed. Simulations conducted on a modified IEEE-30 bus system demonstrated that the proposed strategy effectively reduced the economic costs and carbon emissions of the microgrid by 8.23 % and 2.43 %, respectively.

【摘要翻譯】低碳轉(zhuǎn)型的需求以及可再生能源和負(fù)載的不確定性，對(duì)微電網(wǎng)的最優(yōu)調(diào)度提出了重大挑戰(zhàn)。本研究提出了一種多目標(biāo)魯棒調(diào)度策略，旨在降低與可再生能源輸出和負(fù)載不確定性相關(guān)的風(fēng)險(xiǎn)，同時(shí)推動(dòng)微電網(wǎng)的低碳經(jīng)濟(jì)運(yùn)行。微電網(wǎng)的經(jīng)濟(jì)排放調(diào)度問(wèn)題被構(gòu)建為一個(gè)多目標(biāo)魯棒雙層優(yōu)化模型。因此，本研究提出了一種高維可調(diào)節(jié)的線(xiàn)性多面體不確定性集合，用以描述可再生能源和負(fù)載的不確定性。通過(guò)運(yùn)用二階錐松弛和對(duì)偶變換，本研究將原始模型轉(zhuǎn)換為一個(gè)易于解決的單一層的二階錐規(guī)劃最優(yōu)潮流優(yōu)化模型。隨后，提出了一種綜合隸屬函數(shù)來(lái)確定最優(yōu)折中解。為了確定電池儲(chǔ)能系統(tǒng)的充放電狀態(tài)以及微電網(wǎng)與外部電網(wǎng)之間的電力交易，本研究提出了一種基于分時(shí)電價(jià)和實(shí)時(shí)潮流計(jì)算的電池儲(chǔ)能系統(tǒng)控制策略。在修改后的IEEE-30節(jié)點(diǎn)系統(tǒng)上進(jìn)行的模擬表明，所提出的策略有效地將微電網(wǎng)的經(jīng)濟(jì)成本和碳排放分別降低了8.23%和2.43%。

論文27

Designing breezeways to enhance wind environments in high-density cities: A comprehensive analysis of ten morphological parameters
設(shè)計(jì)通風(fēng)廊道以提升高密度城市的風(fēng)環(huán)境：十個(gè)形態(tài)參數(shù)的全面分析
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【摘要】To advance urban breezeway designs, this paper presents a pioneering and comprehensive study of breezeway morphological parameters. Ten parameters, identified through extensive literature review, include coverage ratio, porosity, line density, sinuosity, rotation angle, width, length, average height, height variation, and aspect ratio. Regression analysis, utilizing over 200 data points collected from wind tunnel experiments in Hong Kong, established correlations between these parameters and pedestrian-level wind velocity ratio (VRpoint). Results reveal that among the 2D parameters, width, length, line density, and coverage ratio exhibit the strongest correlations with VRpoint, while aspect ratio and porosity emerge as significant factors among the 3D parameters. Notably, simple 2D parameters, coverage ratio and width, can effectively substitute for their 3D counterparts, porosity and aspect ratio, in high-density urban environments. Furthermore, the results highlight the relative contributions of different parameters to urban ventilation. From a street-level perspective, VRpoint is primarily influenced by configurations of street segments (width, 80 %) and street intersections (rotation angle, 20 %). From a neighborhood-level perspective, permeability (coverage ratio, 35 %), fragmentation (line density, 30 %), and roughness (average height, 35 %) are critical factors. Illustrative examples are provided to help translate these findings into spatial analysis tools and design guidelines, aiding planners and decision-makers in improving urban living environments.
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【摘要翻譯】為了推進(jìn)城市通風(fēng)廊道設(shè)計(jì)，本文提出了一項(xiàng)開(kāi)創(chuàng)性和全面的研究，探討了通風(fēng)廊道的形態(tài)參數(shù)。通過(guò)廣泛的文獻(xiàn)回顧，確定了十個(gè)參數(shù)，包括覆蓋比率、孔隙率、線(xiàn)密度、曲折度、旋轉(zhuǎn)角度、寬度、長(zhǎng)度、平均高度、高度變化和寬高比。利用在香港風(fēng)洞實(shí)驗(yàn)中收集的超過(guò)200個(gè)數(shù)據(jù)點(diǎn)進(jìn)行的回歸分析，建立了這些參數(shù)與行人層面風(fēng)速比（VRpoint）之間的相關(guān)性。結(jié)果顯示，在二維參數(shù)中，寬度、長(zhǎng)度、線(xiàn)密度和覆蓋比率與VRpoint表現(xiàn)出最強(qiáng)的相關(guān)性，而在三維參數(shù)中，寬高比和孔隙率成為顯著因素。值得注意的是，在高密度城市環(huán)境中，簡(jiǎn)單的二維參數(shù)——覆蓋比率和寬度，可以有效替代它們的三維對(duì)應(yīng)參數(shù)——孔隙率和寬高比。此外，結(jié)果突出了不同參數(shù)對(duì)城市通風(fēng)的相對(duì)貢獻(xiàn)。從街道層面來(lái)看，VRpoint主要受街道段配置（寬度，占80%）和街道交叉口（旋轉(zhuǎn)角度，占20%）的影響。從鄰里層面來(lái)看，滲透性（覆蓋比率，占35%）、破碎度（線(xiàn)密度，占30%）和粗糙度（平均高度，占35%）是關(guān)鍵因素。本文提供了說(shuō)明性示例，以幫助將這些發(fā)現(xiàn)轉(zhuǎn)化為空間分析工具和設(shè)計(jì)指南，協(xié)助規(guī)劃者和決策者改善城市居住環(huán)境。

論文28

Tracking the impact of the land cover change on the spatial-temporal distribution of the thermal comfort: Insights from the Qinhuai River Basin, China
追蹤土地覆蓋變化對(duì)熱舒適時(shí)空分布的影響：來(lái)自中國(guó)秦淮河流域的見(jiàn)解
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【摘要】China's rapid economic growth and urbanization have caused significant Land Cover Changes (LCC), worsened the Urban Heat Island (UHI) effect and reducing the Thermal Comfort (TC). Despite existing studies, there remains a gap in understanding the specific contributions of various LCC types to the TC, particularly in Qinhuai River Basin. This study addresses this gap by examining the LCC effects from 2013 to 2022 based on targeted metrics. We propose a novel TC classification model and introduce indices, including the Land Cover Contribution Index (LCI) and the Land Cover Classification Contribution Index (LCCI), to quantify the influence of different LCC types on the TC. Our findings reveal that farmland and woodland positively impact the TC, while the negative influence of impervious surfaces has intensified. The area of farmland in the most comfortable category has shown significant variability, while impermeable surfaces in uncomfortable and very uncomfortable categories have surged. Additionally, the Urban Water Body Contribution Index (U-WCI) consistently exceeded the Non-Urban Water Body Contribution Index (N-WCI), indicating an enhanced UHI effect within urban areas. This study concludes that changes in farmland and impervious surfaces are crucial for the TC and provides practical recommendations for land use planning against climate change.
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【摘要翻譯】中國(guó)的快速經(jīng)濟(jì)增長(zhǎng)和城市化導(dǎo)致了顯著的土地覆蓋變化（LCC），加劇了城市熱島（UHI）效應(yīng)，并降低了熱舒適度（TC）。盡管已有研究，但對(duì)于各種LCC類(lèi)型對(duì)TC具體貢獻(xiàn)的理解仍存在差距，特別是在秦淮河流域。本研究通過(guò)基于特定指標(biāo)檢驗(yàn)2013年至2022年的LCC效應(yīng)，以填補(bǔ)這一研究空白。我們提出了一種新穎的TC分類(lèi)模型，并引入了包括土地覆蓋貢獻(xiàn)指數(shù)（LCI）和土地覆蓋分類(lèi)貢獻(xiàn)指數(shù)（LCCI）在內(nèi)的指標(biāo)，以量化不同LCC類(lèi)型對(duì)TC的影響。我們的研究發(fā)現(xiàn)，農(nóng)田和林地對(duì)TC有積極影響，而不可滲透表面的負(fù)面影響已經(jīng)加劇。最舒適類(lèi)別中的農(nóng)田面積顯示出顯著的變化，而不舒適和非常不舒適類(lèi)別中的不可滲透表面面積激增。此外，城市水體貢獻(xiàn)指數(shù)（U-WCI）始終超過(guò)非城市水體貢獻(xiàn)指數(shù)（N-WCI），這表明城市區(qū)域內(nèi)的UHI效應(yīng)得到了增強(qiáng)。本研究結(jié)論認(rèn)為，農(nóng)田和不可滲透表面的變化對(duì)TC至關(guān)重要，并為應(yīng)對(duì)氣候變化的土地利用規(guī)劃提供了實(shí)際建議。

論文29

Unraveling the global economic and mortality effects of rising urban heat island intensity
揭示城市熱島強(qiáng)度上升對(duì)全球經(jīng)濟(jì)和死亡率的影響
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【摘要】The increasing severity of urban heat island (UHI) effects poses a significant concern in cities, where to over half of the world's population lives. We examine the pattern of surface UHI intensity (SUHII) and its effect on urban economic productivity and mortality across 171 countries from 2003 to 2018. Countries with heavy industrial/manufacturing bases and higher income levels face more significant economic repercussions from SUHII. Males experience higher mortality rates under comparable SUHII conditions. A unit increase in GNI correlates to a 23.2 % rise in SUHII's effect on GDP and a 5.5 % increase in its effect on mortality rate. A higher Socio-Demographic Index mitigates SUHII's impact on urban GDP. Moreover, the Gini index directly impacts SUHII more than it affects SUHII-related mortality through inequality. Reducing income inequality by one unit will increase the enhancing effect of SUHII on the mortality rate by 11.8 %. Our findings reveal a significant link between wealth disparity and amplified health risks associated with SUHII, potentially leading to new forms of urban inequality. The study highlights the importance of development status and economic composition in facing UHI-related challenges and recommends equitable strategies for policymakers and urban planners to mitigate UHI effects in diverse developmental contexts.
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【摘要翻譯】城市熱島（UHI）效應(yīng)的日益嚴(yán)重性，對(duì)于超過(guò)世界人口一半居住的城市來(lái)說(shuō)，是一個(gè)重大的擔(dān)憂(yōu)。我們研究了地表城市熱島強(qiáng)度（SUHII）的模式及其對(duì)171個(gè)國(guó)家2003年至2018年城市經(jīng)濟(jì)生產(chǎn)力和死亡率的影響。擁有重工業(yè)/制造業(yè)基礎(chǔ)和高收入水平的國(guó)家面臨SUHII帶來(lái)的更顯著的經(jīng)濟(jì)后果。在相似的SUHII條件下，男性的死亡率更高。國(guó)民總收入（GNI）的單位增長(zhǎng)與SUHII對(duì)GDP影響的23.2%的上升和對(duì)其死亡率影響5.5%的增加相關(guān)。更高的社會(huì)人口指數(shù)（Socio-Demographic Index）可以減輕SUHII對(duì)城市GDP的影響。此外，基尼系數(shù)對(duì)SUHII的影響直接超過(guò)了它通過(guò)不平等對(duì)SUHII相關(guān)死亡率的影響。減少一個(gè)單位的不平等將增加SUHII對(duì)死亡率提升效果的11.8%。我們的發(fā)現(xiàn)揭示了財(cái)富差距與SUHII相關(guān)的放大健康風(fēng)險(xiǎn)之間的顯著聯(lián)系，這可能導(dǎo)致新型城市不平等的出現(xiàn)。研究強(qiáng)調(diào)了發(fā)展?fàn)顩r和經(jīng)濟(jì)組成在面對(duì)UHI相關(guān)挑戰(zhàn)時(shí)的重要性，并建議政策制定者和城市規(guī)劃者采取公平的策略，以在不同的發(fā)展背景下減輕UHI效應(yīng)。
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論文30

Study on the spatiotemporal pattern evolution of surface urban heat island in shrinking cities: Fushun and Tieling研究收縮城市地表城市熱島時(shí)空格局演變：撫順和鐵嶺案例研究
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【摘要】Under rapid urbanization, the urban heat island (UHI) problem impacts not only large cities, but also poses severe challenges to shrinking cities with rapidly declining population. In China, most shrinking cities are characterized by population loss alongside the expansion of built-up areas due to policy. Urban warming exacerbates the human settlement environment, with UHI intensifying due to urban expansion, while population loss simultaneously alleviates it. This raises a question: will the UHI problem be mitigated in shrinking cities? In this study, we analyze the spatiotemporal pattern evolution of surface urban heat island (SUHI) in Fushun and Tieling from 2000 to 2020 using Landsat series products. We combine landscape pattern indices and SUHI indicators, and perform correlation analyses of the factors influencing SUHI with multiscale geographically weighted regression (MGWR). The findings reveal that in Fushun, mining activities significantly impact SUHI, while in Tieling, extremely Land Surface Temperature (LST) zones are expanding and dispersing. SUHI patterns are notably shaped by subsurface conditions, and spatial configurations play key roles in regulating SUHI. However, population loss has not significantly influenced SUHI, even in shrinking cities. This study offers a new perspective for SUHI research and provides further insights into urban planning strategies.
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【摘要翻譯】在快速城市化的背景下，城市熱島（UHI）問(wèn)題不僅影響大型城市，也對(duì)人口迅速減少的收縮城市構(gòu)成了嚴(yán)重挑戰(zhàn)。在中國(guó)，大多數(shù)收縮城市的特點(diǎn)是人口流失與由于政策導(dǎo)致的建成區(qū)擴(kuò)張并存。城市升溫加劇了人類(lèi)居住環(huán)境的問(wèn)題，城市擴(kuò)張導(dǎo)致UHI加劇，而人口流失同時(shí)又有所緩解。這引發(fā)了一個(gè)問(wèn)題：收縮城市中的UHI問(wèn)題是否會(huì)得到緩解？在本研究中，我們使用Landsat系列產(chǎn)品分析了2000年至2020年間撫順和鐵嶺地表城市熱島（SUHI）的時(shí)空格局演變。我們將景觀格局指數(shù)與SUHI指標(biāo)相結(jié)合，并使用多尺度地理加權(quán)回歸（MGWR）對(duì)影響SUHI的因素進(jìn)行了相關(guān)性分析。研究發(fā)現(xiàn)，在撫順，采礦活動(dòng)顯著影響SUHI，而在鐵嶺，極端地表溫度（LST）區(qū)域正在擴(kuò)大和分散。SUHI模式受到地下條件的顯著影響，空間配置在調(diào)節(jié)SUHI方面起著關(guān)鍵作用。然而，即使在收縮城市中，人口流失并沒(méi)有顯著影響SUHI。本研究為SUHI研究提供了新的視角，并為城市規(guī)劃策略提供了進(jìn)一步的見(jiàn)解。

論文31

Urban-scale power decarbonization using a modified power purchase agreements framework based on Markowitz mean-variance theory城市規(guī)模電力去碳化使用基于馬科維茨均值-方差理論的修改后的電力購(gòu)買(mǎi)協(xié)議框架
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【摘要】Urban power decarbonization is essential in the fight against climate change, yet current research often neglects the financial risks faced by investors and the shifting demands of consumers in liberalized electricity markets. This study addresses these gaps by proposing a modified Markowitz Mean-Variance Portfolio (MVP) theory, integrated with the Low Emissions Analysis Platform (LEAP), and a deep learning model. On this basis, an urban energy transition framework centered on Power Purchase Agreements (PPAs) is proposed and developed. The framework is validated considering a case study in Kitakyushu, Japan, highlighting its potential in accelerating power sector decarbonization and achieving net-zero emissions by 2038. Additionally, the internal rate of return (IRR) remains stable between 14.5 % and 19.6 % across seven other cities. While the framework reduces long-term cash flow volatility, its effectiveness hinges on industrial electrification efficiency and regional energy self-sufficiency. The findings indicate that relying solely on renewable energy for low-carbon transitions is unrealistic. Furthermore, green hydrogen could emerge as a viable alternative to fossil fuels, potentially replacing batteries for long-term energy storage. Future research should explore cross-regional energy trade and establish legal frameworks for long-term energy transactions to bolster urban energy transition resilience across diverse geographic and economic contexts.
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【摘要翻譯】城市電力去碳化對(duì)于應(yīng)對(duì)氣候變化至關(guān)重要，然而當(dāng)前的研究常常忽視了在自由化電力市場(chǎng)中投資者面臨的財(cái)務(wù)風(fēng)險(xiǎn)和消費(fèi)者需求的轉(zhuǎn)變。本研究通過(guò)提出一種修改后的馬科維茨均值-方差投資組合（MVP）理論，并將其與低排放分析平臺(tái)（LEAP）和深度學(xué)習(xí)模型相結(jié)合，來(lái)填補(bǔ)這些研究空白。在此基礎(chǔ)上，提出并發(fā)展了一個(gè)以電力購(gòu)買(mǎi)協(xié)議（PPAs）為中心的城市能源轉(zhuǎn)型框架。通過(guò)對(duì)日本北九州的一個(gè)案例研究驗(yàn)證了該框架，突顯了其在加速電力部門(mén)去碳化并實(shí)現(xiàn)2038年凈零排放的潛力。此外，在七個(gè)其他城市中，內(nèi)部收益率（IRR）保持在14.5%至19.6%之間穩(wěn)定。盡管該框架減少了長(zhǎng)期現(xiàn)金流波動(dòng)，但其有效性取決于工業(yè)電氣化效率和地區(qū)能源自給自足水平。研究發(fā)現(xiàn)，僅依賴(lài)可再生能源進(jìn)行低碳轉(zhuǎn)型是不現(xiàn)實(shí)的。此外，綠色氫能可能成為化石燃料的可行替代品，可能在長(zhǎng)期能源儲(chǔ)存方面取代電池。未來(lái)的研究應(yīng)探索跨區(qū)域能源貿(mào)易，并建立長(zhǎng)期能源交易的法律框架，以增強(qiáng)不同地理和經(jīng)濟(jì)背景下城市能源轉(zhuǎn)型的韌性。

論文32

Democratizing air: A co-created citizen science approach to indoor air quality monitoring民主化空氣：共同創(chuàng)建的公民科學(xué)方法進(jìn)行室內(nèi)空氣質(zhì)量監(jiān)測(cè)
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【摘要】Indoor air quality (IAQ) is crucial for public health, yet many remain unaware of indoor pollutants. Although Citizen Science has enhanced outdoor air quality understanding, its application to IAQ remains underexplored. This study introduces a new co-creation methodology that addresses key limitations in existing IAQ monitoring practices by integrating value-sensitive design principles and a ‘facilitated emergence’ paradigm. Through three co-creation workshops, we engaged multiple stakeholders in every stage, from problem definition to data interpretation. We employed adaptive facilitation strategies to effectively balance power dynamics among stakeholders, ensuring inclusive decision-making and mitigating potential biases. Our 30-day data collection campaign provided real-time measurements of Particulate Matter (PM) concentrations. Analysis revealed several locations with Indoor/Outdoor (I/O) PM2.5 ratios close to or above 1, uncovering hidden IAQ complexities and emphasizing the need for localized monitoring. We showed how citizen-generated data can improve spatial resolution, detecting local variations missed by official networks. Feedback from the co-creation workshops demonstrated shifts in participants’ perceptions regarding IAQ, accountability, and their role in environmental decision-making, moving from passive awareness to active engagement. Our findings demonstrate how this value-sensitive and community-driven bottom-up approach can enhance air quality assessment, inform targeted IAQ management strategies, and empower citizens in environmental health decisions.
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【摘要翻譯】室內(nèi)空氣質(zhì)量（IAQ）對(duì)公眾健康至關(guān)重要，然而許多人仍然沒(méi)有意識(shí)到室內(nèi)污染物的存在。雖然公民科學(xué)已經(jīng)增強(qiáng)了我們對(duì)室外空氣質(zhì)量的了解，但其應(yīng)用于IAQ的研究仍然相對(duì)較少。本研究介紹了一種新的共同創(chuàng)建方法論，通過(guò)整合價(jià)值敏感設(shè)計(jì)原則和“促進(jìn)涌現(xiàn)”范式，解決了現(xiàn)有IAQ監(jiān)測(cè)實(shí)踐中的一些關(guān)鍵局限性。通過(guò)三個(gè)共同創(chuàng)建研討會(huì)，我們?cè)趶膯?wèn)題定義到數(shù)據(jù)解釋的每個(gè)階段都讓多個(gè)利益相關(guān)者參與進(jìn)來(lái)。我們采用適應(yīng)性促進(jìn)策略，有效地平衡了利益相關(guān)者之間的權(quán)力動(dòng)態(tài)，確保了包容性的決策制定并減輕了潛在的偏見(jiàn)。
我們的30天數(shù)據(jù)收集活動(dòng)提供了實(shí)時(shí)測(cè)量顆粒物（PM）濃度。分析揭示了一些室內(nèi)/室外（I/O）PM2.5比例接近或超過(guò)1的地點(diǎn)，揭示了隱藏的IAQ復(fù)雜性，并強(qiáng)調(diào)了進(jìn)行局部監(jiān)測(cè)的必要性。我們展示了公民生成的數(shù)據(jù)如何提高空間分辨率，檢測(cè)到官方網(wǎng)絡(luò)遺漏的局部變化。共同創(chuàng)建研討會(huì)的反饋表明，參與者在IAQ、問(wèn)責(zé)制以及他們?cè)诃h(huán)境決策中的作用方面的看法發(fā)生了變化，從被動(dòng)意識(shí)到積極參與。我們的發(fā)現(xiàn)表明，這種價(jià)值敏感且由社區(qū)驅(qū)動(dòng)的自下而上的方法可以增強(qiáng)空氣質(zhì)量評(píng)估，為有針對(duì)性的IAQ管理策略提供信息，并在環(huán)境健康決策中賦予公民權(quán)力。

論文33

Evaluation of the coordination-difference-driven sustainability of 12 urban agglomerations in China based on the dynamic probability weighting method基于動(dòng)態(tài)概率加權(quán)方法對(duì)中國(guó)12個(gè)城市群協(xié)調(diào)差異驅(qū)動(dòng)的可持續(xù)性評(píng)價(jià)
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【摘要】The sustainable development of urban agglomerations represents a significant driving force in national and global development. This study establishes an indicator system comprising factors associated with the economy, society, and environment, in accordance with the Triple Bottom Line, to assess the sustainability of 12 urban agglomerations in China. A novel framework is proposed, including a dynamic probability weighting method based on sufficient stochastic simulations and a coordination-difference-driven aggregation approach that considers the coordination degree and differences between evaluated objects. The evaluation revealed significant regional disparities in urban agglomeration sustainability from 2012 to 2021. The eastern region's Yangtze River Delta, Pearl River Delta, Beijing–Tianjin–Hebei region, and Shandong Peninsula exhibit above-average sustainability performance. Conversely, the western region's Guangzhong, Guangxi Beibu Gulf, Chengyu, and Ningxia Yellow River regions exhibit below-average performance. Moreover, the growth rate of sustainability values for the 12 urban agglomerations followed a downward trajectory. Furthermore, the environmental dimension is the primary driver of sustainable development in urban agglomerations, while the economic dimension represents the main obstacle. These findings offer policymakers a scientific and practical framework to guide sustainability-related decisions.
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【摘要翻譯】城市發(fā)展群的可持續(xù)發(fā)展代表了國(guó)家乃至全球發(fā)展的重大推動(dòng)力。本研究根據(jù)三重底線(xiàn)（Triple Bottom Line）建立了一個(gè)涵蓋經(jīng)濟(jì)、社會(huì)和環(huán)境因素的指標(biāo)體系，用以評(píng)估中國(guó)12個(gè)城市發(fā)展群的可持續(xù)性。本研究提出了一種新穎的框架，包括基于充分隨機(jī)模擬的動(dòng)態(tài)概率加權(quán)方法，以及考慮評(píng)估對(duì)象之間協(xié)調(diào)程度和差異的協(xié)調(diào)-差異驅(qū)動(dòng)聚合方法。評(píng)估結(jié)果顯示，從2012年到2021年，城市發(fā)展群的可持續(xù)性在地區(qū)之間存在顯著差異。東部地區(qū)的長(zhǎng)江三角洲、珠江三角洲、京津冀地區(qū)和山東半島的可持續(xù)發(fā)展表現(xiàn)高于平均水平。相反，西部地區(qū)的關(guān)中、廣西北部灣、成渝和寧夏黃河地區(qū)的表現(xiàn)則低于平均水平。此外，12個(gè)城市發(fā)展群的可持續(xù)性?xún)r(jià)值增長(zhǎng)率呈下降趨勢(shì)。再者，環(huán)境維度是城市發(fā)展群可持續(xù)發(fā)展的主要驅(qū)動(dòng)力，而經(jīng)濟(jì)維度則是主要障礙。這些發(fā)現(xiàn)為政策制定者提供了一個(gè)科學(xué)實(shí)用的框架，以指導(dǎo)與可持續(xù)發(fā)展相關(guān)的決策。
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論文34

Green space-building integration for Urban Heat Island mitigation: Insights from Beijing's fifth ring road district

綠地建筑一體化用于緩解城市熱島效應(yīng)：來(lái)自北京五環(huán)路的啟示
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【摘要】In this research, we delve into the complex arrangement of urban landscapes, where green spaces and buildings are not merely co-existing but are interwoven into a cohesive fabric that shapes the thermal environment. Our approach transcends the conventional methods of analysis, which typically isolate the roles of greenery or built environments. Instead, we adopt a synergistic perspective that recognizes the collective influence of these landscape constituents on the urban thermal pattern. Key insights are: (1) A linear decrease in average land surface temperature with increasing green space coverage is observed. However, substantial temperature variations (up to 8 °C) within the same coverage interval highlight the significant impact of built-up pattern on thermal conditions; (2) High Building Height and Floor Area Ratio, and low Building Coverage Ratio and Sky View Factor, are linked to cooler temperatures in areas with up to 50 % green space; (3) The study suggests that low-temperature areas can inform the adjustment of built-up patterns in high-temperature areas, offering a strategy for thermal environment optimization within specific green space coverage intervals. This research contributes insights into the integrated planning of green spaces and buildings, with implications for urban development and renewal initiatives aiming to enhance the urban thermal environment.
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【摘要翻譯】這項(xiàng)研究深入探討了城市景觀的復(fù)雜布局，其中綠色空間和建筑不僅僅是共存，而是交織成一個(gè)統(tǒng)一的整體，共同塑造著城市的熱環(huán)境。研究采用了一種超越傳統(tǒng)分析方法的協(xié)同視角，后者通常孤立地看待綠色植被或建成環(huán)境的作用。研究發(fā)現(xiàn)，隨著綠色空間覆蓋率的增加，平均地表溫度呈現(xiàn)出線(xiàn)性下降的趨勢(shì)，但在同一覆蓋率區(qū)間內(nèi)，溫度變化可高達(dá)8°C，這突顯了建成模式對(duì)熱條件的重要影響。在綠色空間覆蓋率高達(dá)50%的地區(qū)，較高的建筑高度和樓面面積比以及較低的建筑覆蓋率和平視因子與更低的溫度相關(guān)聯(lián)。研究表明，低溫區(qū)域可以為高溫區(qū)域調(diào)整建成模式提供策略，為特定綠色空間覆蓋率區(qū)間內(nèi)的熱環(huán)境優(yōu)化提供了可能。這項(xiàng)研究為綠色空間和建筑的整合規(guī)劃提供了見(jiàn)解，對(duì)于旨在改善城市熱環(huán)境的城市發(fā)展和管理倡議具有深遠(yuǎn)的意義，強(qiáng)調(diào)了在城市規(guī)劃和設(shè)計(jì)中綜合考慮綠色空間和建成環(huán)境的重要性，以實(shí)現(xiàn)更可持續(xù)和宜居的城市環(huán)境。

論文35

Self-reported public fast charging infrastructure demand: What do existing and potential electric vehicle adopters want and where?

自我報(bào)告的公共快速充電基礎(chǔ)設(shè)施需求：現(xiàn)有和潛在的電動(dòng)汽車(chē)采用者想要什么以及在哪里？
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【摘要】Electric vehicles (EVs) promise emissions reduction, but adoption rates must increase to meet 2030 targets. Since public fast charging infrastructure (PFCI) is considered important to increase EV uptake, this research aims to assess its demand across existing and potential EV adopters in Ireland. Online mapping tools were used to capture 1635 self-reported locations where users prefer PFCI, along with other related preferences from 545 respondents. The results were analysed using a mixed-method approach including exploratory factor analysis (EFA), Geographic Information System (GIS), two-step cluster analysis, and qualitative analysis. The results indicate that expanding PFCI is critical for increasing EV uptake, with 81.4% of potential EV adopters showing a significant impact on uptake. Major deterrents identified include insufficient availability of public fast chargers followed by high charging costs. The qualitative analysis highlights existing EV users’ demand for improved end-user experiences, such as unified payment systems. Most preferred locations for PFCI installation include travel routes, followed by shopping centres/ supermarkets. Results also indicate that a reliable second-hand market would be key to increasing EV uptake. The findings from this study can serve policymakers in effectively rolling out PFCI, while the methodology employed can be replicated in other comparable study areas.
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【摘要翻譯】電動(dòng)汽車(chē)（EV）承諾減少排放，但為了達(dá)到2030年的目標(biāo)，采用率必須提高。由于公共快速充電基礎(chǔ)設(shè)施（PFCI）被認(rèn)為是增加電動(dòng)汽車(chē)采用率的重要因素，這項(xiàng)研究旨在評(píng)估愛(ài)爾蘭現(xiàn)有和潛在電動(dòng)汽車(chē)采用者對(duì)PFCI的需求。研究使用了在線(xiàn)地圖工具來(lái)捕捉1635個(gè)用戶(hù)偏好的PFCI自報(bào)告位置，以及來(lái)自545名受訪者的其他相關(guān)偏好。結(jié)果通過(guò)混合方法進(jìn)行分析，包括探索性因子分析（EFA）、地理信息系統(tǒng)（GIS）、兩步聚類(lèi)分析和定性分析。結(jié)果表明，擴(kuò)大PFCI對(duì)于增加電動(dòng)汽車(chē)的采用至關(guān)重要，81.4%的潛在電動(dòng)汽車(chē)采用者顯示出對(duì)采用率的顯著影響。確定的主要障礙包括公共快速充電器的可用性不足，其次是高昂的充電成本。定性分析突出了現(xiàn)有電動(dòng)汽車(chē)用戶(hù)對(duì)改善終端用戶(hù)體驗(yàn)的需求，例如統(tǒng)一的支付系統(tǒng)。PFCI安裝最受歡迎的地點(diǎn)包括旅行路線(xiàn)，其次是購(gòu)物中心/超市。結(jié)果還表明，一個(gè)可靠的二手市場(chǎng)將是增加電動(dòng)汽車(chē)采用的關(guān)鍵。這項(xiàng)研究的發(fā)現(xiàn)可以為政策制定者在有效推出PFCI時(shí)提供參考，同時(shí)所采用的方法可以復(fù)制到其他類(lèi)似的研究區(qū)域。

論文36

How does digital technology innovation drive synergies for reducing pollution and carbon emissions?
數(shù)字技術(shù)創(chuàng)新如何推動(dòng)減少污染和碳排放的協(xié)同效應(yīng)？
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【摘要】Digital technological innovation is a key force in reshaping production and achieving green, low-carbon development, provides new impetus to reducing pollution emissions (PE) and carbon emissions (CE). This study employed the coupled coordination model, panel regression model and spatial Durbin model to examine how the digital technology innovation level (DTIL) and digital technology transfer scale (DTTS) affected synergies for reducing pollution and carbon emissions (PCRS) in the Yangtze River Delta region from 2015 to 2021. The results showed that: The evolution of PCRS is characterized by high synergy cities are increasing, low synergy cities are decreasing, and excellent coordination cities are becoming more concentrated. In the synergistic type migration evolution, the core area primarily ascends; the central and peripheral areas remain mostly stable. The effects of DTIL and DTTS on PCRS follow a non-linear inverted U-shaped pattern. DTIL has a stronger effect on reducing PE, while DTTS tends to increase CE. In terms of spatial spillover effects, DTIL has an inverted U-shaped relationship with PCRS in local regions and a positive spillover effect on neighboring regions; DTTS has a negative impact on PCRS in local regions, but shows an inverted U-shaped relationship in neighboring regions. Both of them also affect PCRS through industrial structure and energy efficiency.
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【摘要翻譯】數(shù)字技術(shù)創(chuàng)新是重塑生產(chǎn)和實(shí)現(xiàn)綠色低碳發(fā)展的關(guān)鍵力量，為減少污染排放和碳排放提供了新的動(dòng)力。本研究采用耦合協(xié)調(diào)模型、面板回歸模型和空間杜賓模型，考察了數(shù)字技術(shù)創(chuàng)新水平和數(shù)字技術(shù)轉(zhuǎn)讓規(guī)模對(duì)2015年至2021年長(zhǎng)江三角洲地區(qū)減少污染和碳排放協(xié)同效應(yīng)的影響。結(jié)果表明，協(xié)同效應(yīng)的演變特征是高協(xié)同效應(yīng)城市數(shù)量增加，低協(xié)同效應(yīng)城市數(shù)量減少，優(yōu)秀協(xié)調(diào)城市變得更加集中。在協(xié)同類(lèi)型遷移演變中，核心區(qū)域主要上升，而中部和外圍區(qū)域大部分保持穩(wěn)定。數(shù)字技術(shù)創(chuàng)新水平和數(shù)字技術(shù)轉(zhuǎn)讓規(guī)模對(duì)協(xié)同效應(yīng)的影響呈現(xiàn)非線(xiàn)性倒U型模式，其中數(shù)字技術(shù)創(chuàng)新水平在減少污染排放方面效果更強(qiáng)，而數(shù)字技術(shù)轉(zhuǎn)讓規(guī)模傾向于增加碳排放。在空間溢出效應(yīng)方面，數(shù)字技術(shù)創(chuàng)新水平與協(xié)同效應(yīng)在本地地區(qū)呈倒U型關(guān)系，并對(duì)鄰近地區(qū)產(chǎn)生正向溢出效應(yīng)；數(shù)字技術(shù)轉(zhuǎn)讓規(guī)模在本地地區(qū)對(duì)協(xié)同效應(yīng)產(chǎn)生負(fù)面影響，但在鄰近地區(qū)呈現(xiàn)倒U型關(guān)系。此外，兩者還通過(guò)產(chǎn)業(yè)結(jié)構(gòu)和能源效率影響協(xié)同效應(yīng)。

論文37

Research on the mechanism and path of the coupling of digital technology and environmental regulation to promote urban green efficiency數(shù)字技術(shù)與環(huán)境規(guī)制耦合促進(jìn)城市綠色效率的機(jī)制與路徑研究
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【摘要】Digital technology, renowned for its embeddedness and integration, revolutionizes governance ideas, institutions, and models. Based on the panel data of 285 cities in China from 2007 to 2021, a panel vector autoregressive model (PVaR) is built to reveal the interaction mechanism between digital technology and environmental regulation. The fixed-effects panel model explored the green impact of the coupling of digital technology and environmental regulation, considering the mediating role of industrial upgrading, factor allocation, and public participation. The results show that digital technology and environmental regulation promote each other. The coupling of digital technology and environmental regulation enhances urban green efficiency, especially in economically advanced and eastern regions. Industrial upgrading, factor allocation, and public participation mediate this effect. Therefore, government departments should build ecological civilization by improving environmental management decision-making, promoting the deep integration of digital technology and environmental regulation, and exploring a new path of urban green development.
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【摘要翻譯】數(shù)字技術(shù)以其嵌入性和集成性而聞名，它革新了治理理念、制度和模式?；?007年至2021年中國(guó)285個(gè)城市的面板數(shù)據(jù)，構(gòu)建了一個(gè)面板向量自回歸模型（PVaR），以揭示數(shù)字技術(shù)與環(huán)境規(guī)制之間的互動(dòng)機(jī)制。固定效應(yīng)面板模型探討了數(shù)字技術(shù)與環(huán)境規(guī)制耦合的綠色影響，并考慮了產(chǎn)業(yè)升級(jí)、要素配置和公眾參與的中介作用。結(jié)果顯示，數(shù)字技術(shù)與環(huán)境規(guī)制相互促進(jìn)。數(shù)字技術(shù)與環(huán)境規(guī)制的耦合提升了城市綠色效率，尤其是在經(jīng)濟(jì)發(fā)達(dá)和東部地區(qū)。產(chǎn)業(yè)升級(jí)、要素配置和公眾參與在這一效應(yīng)中起到了中介作用。因此，政府部門(mén)應(yīng)當(dāng)通過(guò)改善環(huán)境管理決策、推動(dòng)數(shù)字技術(shù)與環(huán)境規(guī)制的深度融合，以及探索城市綠色發(fā)展的新路徑，來(lái)構(gòu)建生態(tài)文明。
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論文38

The spatio-temporal dynamic evolution and variability?pattern of urban green resilience in China based on multi-criteria decision-making

中國(guó)城市綠色韌性的時(shí)空動(dòng)態(tài)演變和變異模式研究基于多標(biāo)準(zhǔn)決策制定
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【摘要】Environmental challenges significantly impact urban areas, making cities vulnerable to extreme climatic events. Hence, this study introduces an urban green resilience index system and employs a novel multi-criteria decision-making method to measure green resilience across Chinese cities. Utilizing exploratory spatio-temporal data analysis, Dagum Spatial Gini coefficient, and geographical detector methods, we examine spatio-temporal dynamic evolution and variability pattern. Key findings are as follows: (1) The overall level of green resilience in Chinese cities has significantly increased over the past decade. (2) Urban green resilience exhibits significant spatial clustering and dependence, with high-high mode in central and eastern China, and low-low mode in the southwest and northwest. (3) Urban green resilience aligns along a northeast-southwest axis, with its center of gravity corresponding to major population and economic centers. (4) There is a spatial convergence in urban green resilience across eastern, central, and western China, with declining Dagum Spatial Gini coefficients suggesting reduced spatial inequality. (5) Exploratory spatio-temporal data analysis indicates stable local spatial structures, but inter-city collaboration remains insufficient for fostering a cooperative developmental pattern for urban green resilience. This study examines the capacity and potential of cities to adapt their development strategies and achieve sustainable growth amidst environmental challenges and uncertainties, including extreme weather events.
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【摘要翻譯】環(huán)境挑戰(zhàn)對(duì)城市地區(qū)產(chǎn)生了顯著影響，使城市容易受到極端氣候事件的影響。因此，本研究引入了一個(gè)城市綠色韌性指數(shù)體系，并采用了一種新穎的多標(biāo)準(zhǔn)決策方法來(lái)衡量中國(guó)城市間的綠色韌性。利用探索性時(shí)空數(shù)據(jù)分析、Dagum空間基尼系數(shù)和地理探測(cè)器方法，我們檢驗(yàn)了時(shí)空動(dòng)態(tài)演變和變異模式。主要發(fā)現(xiàn)如下：（1）過(guò)去十年間，中國(guó)城市綠色韌性的總體水平顯著提高。（2）城市綠色韌性表現(xiàn)出顯著的空間集聚和依賴(lài)性，中部和東部中國(guó)呈現(xiàn)高-高模式，西南和西北地區(qū)呈現(xiàn)低-低模式。（3）城市綠色韌性沿東北-西南軸對(duì)齊，其重心對(duì)應(yīng)于主要的人口和經(jīng)濟(jì)中心。（4）東部、中部和西部中國(guó)的城市綠色韌性存在空間趨同，Dagum空間基尼系數(shù)的下降表明空間不平等減少。（5）探索性時(shí)空數(shù)據(jù)分析表明，局部空間結(jié)構(gòu)穩(wěn)定，但城市間合作對(duì)于促進(jìn)城市綠色韌性的合作發(fā)展模式仍然不足。本研究考察了城市在環(huán)境挑戰(zhàn)和不確定性，包括極端天氣事件中，調(diào)整發(fā)展戰(zhàn)略和實(shí)現(xiàn)可持續(xù)增長(zhǎng)的能力和潛力。

論文39

A hybrid spatiotemporal model combining graph attention network and gated recurrent unit for regional composite air pollution prediction and collaborative control

結(jié)合圖注意力網(wǎng)絡(luò)和門(mén)控循環(huán)單元的混合時(shí)空模型用于區(qū)域復(fù)合空氣污染預(yù)測(cè)與協(xié)同控制
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【摘要】MachineMachine learning (ML) models have been extensively applied in air quality prediction. However, many of these models often failed to unveil complex mechanisms and regional spatiotemporal variations of composite air pollution. This brings uncertainties in using ML models for effective composite air pollution control. The present study developed a novel hybrid spatiotemporal model framework combining Graph Attention Network (GAT) and Gated Recurrent Unit (GRU), namely the GAT-GRU model, to foresee composite air pollutions with a focus on PM2.5?and O3. By extracting attention matrices for PM2.5O3?composite pollution and applying the Louvain algorithm, the framework established effective community network divisions for coordinated control of PM2.5O3?composite pollution. The framework was applied and tested in China's “2 + 26″ cities, a city cluster with most heavy PM2.5?and O3?pollution and precursor emission sources. The results demonstrate that the framework successfully captured spatiotemporal evolution of combined PM2.5?and O3?pollution. The attention matrix is autonomously generated during course of the model learning process with the aim to interpret the complex interactions among “2 + 26″ cities. The framework provides a new perspective for the interpretability of artificial intelligence models and offers a methodological support and scientific evidence for formulating regional pollution cooperative governance strategies. learning (ML) models have been extensively applied in air quality prediction. However, many of these models often failed to unveil complex mechanisms and regional spatiotemporal variations of composite air pollution. This brings uncertainties in using ML models for effective composite air pollution control. The present study developed a novel hybrid spatiotemporal model framework combining Graph Attention Network (GAT) and Gated Recurrent Unit (GRU), namely the GAT-GRU model, to foresee composite air pollutions with a focus on PM2.5?and O3. By extracting attention matrices for PM2.5O3?composite pollution and applying the Louvain algorithm, the framework established effective community network divisions for coordinated control of PM2.5O3?composite pollution. The framework was applied and tested in China's “2 + 26″ cities, a city cluster with most heavy PM2.5?and O3?pollution and precursor emission sources. The results demonstrate that the framework successfully captured spatiotemporal evolution of combined PM2.5?and O3?pollution. The attention matrix is autonomously generated during course of the model learning process with the aim to interpret the complex interactions among “2 + 26″ cities. The framework provides a new perspective for the interpretability of artificial intelligence models and offers a methodological support and scientific evidence for formulating regional pollution cooperative governance strategies.
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【摘要翻譯】機(jī)器學(xué)習(xí)（ML）模型已廣泛應(yīng)用于空氣質(zhì)量預(yù)測(cè)。然而，這些模型中的許多往往未能揭示復(fù)合空氣污染的復(fù)雜機(jī)制和區(qū)域時(shí)空變化。這給使用ML模型進(jìn)行有效的復(fù)合空氣污染控制帶來(lái)了不確定性。本研究開(kāi)發(fā)了一種新穎的混合時(shí)空模型框架，結(jié)合圖注意力網(wǎng)絡(luò)（Graph Attention Network，簡(jiǎn)稱(chēng)GAT）和門(mén)控循環(huán)單元（Gated Recurrent Unit，簡(jiǎn)稱(chēng)GRU），即GAT-GRU模型，以預(yù)測(cè)PM2.5和O3為主的復(fù)合空氣污染。通過(guò)提取PM2.5和O3復(fù)合污染的關(guān)注矩陣并應(yīng)用Louvain算法，該框架為PM2.5和O3復(fù)合污染的協(xié)同控制建立了有效的社區(qū)網(wǎng)絡(luò)劃分。該框架在中國(guó)的“2+26”城市群應(yīng)用和測(cè)試，這是一個(gè)PM2.5和O3污染及前體物排放源最重的城市群。結(jié)果表明，該框架成功捕捉了PM2.5和O3復(fù)合污染的時(shí)空演變。關(guān)注矩陣在模型學(xué)習(xí)過(guò)程中自動(dòng)生成，旨在解釋“2+26”城市之間復(fù)雜的相互作用。該框架為人工智能模型的可解釋性提供了新視角，并為制定區(qū)域污染協(xié)同治理策略提供了方法論支持和科學(xué)證據(jù)。

論文40

Assessing diurnal land surface temperature variations across landcover and local climate zones: Implications for urban planning and mitigation strategies on socio-economic factors

估不同土地覆蓋和地方氣候區(qū)的晝夜地表溫度變化：對(duì)城市規(guī)劃和社會(huì)經(jīng)濟(jì)因素減緩策略的影響
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【摘要】Rising temperatures and rapid urbanization globally reinforce the need to understand urban climates. We investigated the influence of land cover and local climate zones (LCZs) on diurnal land surface temperature (LST) in various seasons in greater Delhi region, India, and their implications on socio-economic factors. Day LST was the highest in the summer and night LST in the monsoon, which also had the lowest diurnal differences in LST. Higher height and density of built-up features contributed to greater heat at night. During the day, open built-up and vegetated areas experienced relatively less heat than their compact equivalents. The lowest diurnal difference was in medium height compact urban zones and tall vegetation. Social inequity in access to urban cooling was indicated by large low-income and heat-vulnerable populations inhabiting the hottest LCZs. This research highlighted that even in semi-arid and subtropical climates, spatial planning policy should consider both the seasonality and diurnal differences in temperature as much as appropriate morphologies for design of thermally comfortable and climate resilient urban spaces. These policies should address the evidenced social inequities in heat exposure to reduce the adverse health impacts on vulnerable groups and therefore contribute to wider societal and economic benefits of healthier populations.
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【摘要翻譯】全球氣溫上升和快速城市化加強(qiáng)了我們對(duì)城市氣候理解的必要性。我們研究了土地覆蓋和地方氣候區(qū)（LCZs）對(duì)印度德里大區(qū)不同季節(jié)晝夜地表溫度（LST）的影響及其對(duì)社會(huì)經(jīng)濟(jì)因素的影響。夏季白天LST最高，而雨季夜間LST最高，也具有最低的晝夜LST差異。建筑特征的高度和密度越高，夜間熱量越大。在白天，開(kāi)放建筑區(qū)和植被區(qū)相對(duì)于它們的緊湊對(duì)應(yīng)區(qū)經(jīng)歷的熱度較低。中高度緊湊城市區(qū)和高植被區(qū)的晝夜差異最低。大量低收入和熱敏感人群居住在最熱的LCZs中，表明了城市降溫設(shè)施獲取的社會(huì)不平等。這項(xiàng)研究強(qiáng)調(diào)，即使在半干旱和亞熱帶氣候中，空間規(guī)劃政策應(yīng)考慮季節(jié)性和晝夜溫差以及適當(dāng)?shù)男螒B(tài)設(shè)計(jì)，以打造熱舒適和氣候適應(yīng)性強(qiáng)的城市空間。這些政策應(yīng)解決已證實(shí)的熱暴露社會(huì)不平等，以減少對(duì)脆弱群體的不利健康影響，從而為更健康人群的更廣泛社會(huì)和經(jīng)濟(jì)效益做出貢獻(xiàn)。

論文41

The evolution of urban ecological resilience: An evaluation framework based on vulnerability, sensitivity and self-organization

城市生態(tài)韌性的演變：基于脆弱性、敏感性和自組織的評(píng)估框架

【摘要】Ecological resilience assessment has become a key link in urban sustainable governance. This study introduces a new evaluation framework to inform policy-making and practical applications. Based on the structural and functional dimensions of landscape patterns, it integrates the vulnerability, sensitivity and self-organization of resilience to point to desirable directions of ecological resilience. A composite ecological resilience index is compiled based on six indices of landscape diversity, landscape disturbance, source-sink patch distance, habitat quality, minimum cumulative resistance, and landscape restoration. The framework is particularly applicable to cities located in ecologically sensitive areas. Hence, Nanchang City, China was selected as a case study. Using 1km2 hexagonal grids, the framework is applied to map spatiotemporal changes and to analyze various natural and anthropogenic driving forces of ecological resilience in Nanchang from 2000 to 2020. Research findings confirm the feasibility and value of the urban ecological resilience analysis framework. They also highlight the advantages of the framework in revealing spatially dynamic processes and ecological resilience contributing factors, making it a valuable and practical tool for sustainable urban planning and refined management decision-making.
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【摘要翻譯】生態(tài)韌性評(píng)估已成為城市可持續(xù)治理的關(guān)鍵環(huán)節(jié)。本研究引入了一個(gè)新的評(píng)估框架，以指導(dǎo)政策制定和實(shí)際應(yīng)用。該框架基于景觀模式的結(jié)構(gòu)和功能維度，整合了韌性的脆弱性、敏感性和自組織，指出了生態(tài)韌性的期望發(fā)展方向?；诰坝^多樣性、景觀干擾、源匯斑塊距離、棲息地質(zhì)量、最小累積阻力和景觀恢復(fù)六個(gè)指標(biāo)，編制了復(fù)合生態(tài)韌性指數(shù)。該框架特別適用于位于生態(tài)敏感區(qū)域的城市。因此，選擇中國(guó)南昌市作為案例研究。使用1平方公里的六邊形網(wǎng)格，該框架應(yīng)用于映射2000年至2020年南昌生態(tài)韌性的時(shí)空變化，并分析各種自然和人為驅(qū)動(dòng)力。研究發(fā)現(xiàn)確認(rèn)了城市生態(tài)韌性分析框架的可行性和價(jià)值。它們還強(qiáng)調(diào)了框架在揭示空間動(dòng)態(tài)過(guò)程和生態(tài)韌性貢獻(xiàn)因素方面的優(yōu)勢(shì)，使其成為可持續(xù)城市規(guī)劃和精細(xì)管理決策的有價(jià)值和實(shí)用工具。

論文42

Intersecting social welfare with resilience to streamline urban flood management將社會(huì)福利與韌性相結(jié)合以簡(jiǎn)化城市洪水管理
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【摘要】Urban policymakers have long searched for stormwater management plans that incentivize stakeholders to adopt Green Infrastructure (GI) while effectively reducing the vulnerability of drainage systems. In this regard, our research introduces a novel framework to develop GI strategies that provide both hydrological resiliency and social acceptance. To achieve this, first, using a coupled Stormwater Management Model (SWMM) and Non-dominated Sorting Genetic Algorithm-II (NSGA-II), optimal alternatives for GI planning were generated. In the optimization process, we used a novel Simple Urban Flood Resilience Index (SUFRI) to consider the internal performance of the system in identifying resilient plans. Derived management strategies warrant runoff volume reduction and resilience improvement up to 31.3% and 55.1%, respectively. In the next step, Utilitarian-based Social Welfare (USW) was employed to clarify the socio-economic behavior of management strategies. Results indicate that while financial incentives significantly motivate developers to implement GI, they cannot guarantee high social welfare, and achieving a sustainable solution requires evaluating both SUFRI and USW layers under different subsidy levels. Visualizing the SUFRI layer revealed a critical failure in the resiliency trend of solutions that cannot be detected by evaluating simpler metrics, such as runoff volume reduction. This highlights the importance of the SUFRI method in conducting deeper evaluations and preventing financial waste. Finally, we navigated the intersection of USW and SUFRI measures to reach an ideal management plan with optimal supporting level. Our findings showed that the selected solution with the highest social acceptability can improve the resiliency of the system by 29 %. This study is a novel combination of the hydrological and social aspects of stormwater management, enabling decision-makers to take significant steps towards sustainable urban development.
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【摘要翻譯】城市政策制定者一直在尋找既能激勵(lì)利益相關(guān)者采用綠色基礎(chǔ)設(shè)施（GI），又能有效地降低排水系統(tǒng)脆弱性的雨水管理計(jì)劃。在這方面，我們的研究引入了一個(gè)新框架來(lái)開(kāi)發(fā)既能提供水文韌性又能獲得社會(huì)接受的GI策略。為了實(shí)現(xiàn)這一點(diǎn)，首先，使用耦合的雨水管理模型（Stormwater Management Model，簡(jiǎn)稱(chēng)SWMM）和非支配排序遺傳算法II（Non-dominated Sorting Genetic Algorithm-II，簡(jiǎn)稱(chēng)NSGA-II），生成了GI規(guī)劃的最優(yōu)替代方案。在優(yōu)化過(guò)程中，我們使用了一個(gè)新穎的簡(jiǎn)單城市洪水韌性指數(shù)（Simple Urban Flood Resilience Index，簡(jiǎn)稱(chēng)SUFRI）來(lái)考慮系統(tǒng)內(nèi)部性能，以識(shí)別韌性計(jì)劃。派生的管理策略可以使徑流體積減少和韌性提高分別達(dá)到31.3%和55.1%。接下來(lái)，采用基于效用的社會(huì)福利（Utilitarian-based Social Welfare，簡(jiǎn)稱(chēng)USW）來(lái)闡明管理策略的社會(huì)經(jīng)濟(jì)行為。結(jié)果表明，盡管財(cái)政激勵(lì)顯著激勵(lì)開(kāi)發(fā)商實(shí)施GI，但它們不能保證高社會(huì)福利，實(shí)現(xiàn)可持續(xù)解決方案需要在不同補(bǔ)貼水平下評(píng)估SUFRI和USW層?？梢暬疭UFRI層揭示了解決方案韌性趨勢(shì)中的關(guān)鍵失敗，這些失敗不能通過(guò)評(píng)估更簡(jiǎn)單的指標(biāo)，如徑流體積減少來(lái)檢測(cè)。這強(qiáng)調(diào)了SUFRI方法在進(jìn)行更深入評(píng)估和防止財(cái)政浪費(fèi)方面的重要性。最后，我們導(dǎo)航了USW和SUFRI措施的交叉點(diǎn)，以找到一個(gè)具有最佳支持水平的理想管理計(jì)劃。我們的發(fā)現(xiàn)表明，具有最高社會(huì)可接受性的選定解決方案可以提高系統(tǒng)的韌性29%。這項(xiàng)研究是雨水管理的水文和社會(huì)方面的新穎結(jié)合，使決策者能夠朝著可持續(xù)城市發(fā)展邁出重要步驟。

論文43

Optimization of industrial layout in airport economic zone through government-enterprise interaction
通過(guò)政企互動(dòng)優(yōu)化機(jī)場(chǎng)經(jīng)濟(jì)區(qū)產(chǎn)業(yè)布局
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【摘要】To avoid the issue of industrial layout plans in Airport Economic Zones (AEZs) being hard to implement due to mismatched the land supply and demand, it is necessary to clarify industrial layout factors that the government (land supplier) and locating enterprises (land demanders) focus on. This study constructs a AEZ's industrial layout optimization model from the government's perspective and enterprises’ locating utility. Based on the Gale-Shapley algorithm, aiming at eliminating blocking pairs, we establish government-enterprise interacting rules and coordinating mechanisms, corresponding to two types of government-enterprise interactions, namely public consultation and investment promotion joint meeting. According to government transparency and enterprise participation, the optimization modeland Agent-Based Model are adopted in the combination to simulate the government-enterprise interactions in the decision-making of industrial layout in AEZ, under two interaction rules of “enterprises provide feedback in one go - the government makes revisions in one go” and “enterprises provide feedback one by one - the government makes revisions one by one”, respectively. By analyzing the changing curves of their objective functions, the equilibrium point where both parties can reach an agreement is identified, and the industrial layout scheme in AEZ is determined that will be mutually accepted. It is found that positive interaction with high government transparency and high enterprise participation will help improve the rationality of the industrial layout in AEZ, maximizing the efficiency of spatial allocation of elements and resources.
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【摘要翻譯】為了避免機(jī)場(chǎng)經(jīng)濟(jì)區(qū)（AEZ）產(chǎn)業(yè)布局規(guī)劃因土地供需不匹配而難以實(shí)施的問(wèn)題，有必要明確政府（土地供應(yīng)方）和選址企業(yè)（土地需求方）關(guān)注的產(chǎn)業(yè)布局因素。本研究從政府的角度和企業(yè)的選址效用出發(fā)，構(gòu)建了AEZ產(chǎn)業(yè)布局優(yōu)化模型。基于Gale-Shapley算法，以消除阻塞對(duì)為目標(biāo)，我們建立了政企互動(dòng)規(guī)則和協(xié)調(diào)機(jī)制，對(duì)應(yīng)兩種政企互動(dòng)類(lèi)型，即公眾咨詢(xún)和投資促進(jìn)聯(lián)席會(huì)議。根據(jù)政府透明度和企業(yè)參與度，優(yōu)化模型和基于代理的模型（Agent-Based Model）被結(jié)合使用，以模擬在AEZ產(chǎn)業(yè)布局決策中的政企互動(dòng)，分別采用“企業(yè)一次性提供反饋——政府一次性修改”和“企業(yè)逐一提供反饋——政府逐一修改”兩種互動(dòng)規(guī)則。通過(guò)分析目標(biāo)函數(shù)的變化曲線(xiàn)，確定了雙方可以達(dá)成一致的平衡點(diǎn)，并確定了將被雙方共同接受的AEZ產(chǎn)業(yè)布局方案。研究發(fā)現(xiàn)，高政府透明度和高企業(yè)參與度的積極互動(dòng)將有助于提高AEZ產(chǎn)業(yè)布局的合理性，最大化空間要素和資源配置的效率。
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論文44

Data fusion for enhancing urban air quality modeling using large-scale citizen science data使用大規(guī)模公民科學(xué)數(shù)據(jù)增強(qiáng)城市空氣質(zhì)量建模的數(shù)據(jù)融合
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【摘要】Rapid urbanization has led to many environmental issues, including poor air quality. With urbanization set to continue, there is an urgent need to mitigate air pollution and minimize its adverse health impacts. This study aims to advance urban air quality modelling by integrating a dispersion model output with large-scale citizen science data, collected over a 4-week period by 642 participants in Cork City, Ireland. The dispersion model enabled the identification of major sources of NO2 air pollution while also addressing gaps in regulatory monitoring efforts. Integrating the diffusion tube data with the dispersion model output, we developed a data fusion model that captured localized fluctuations in air quality, with increases of up to 22μg/m3 observed at major road intersections. The data fusion model provided a more accurate representation of NO2 concentrations, with estimates within 1.3μg/m3 of the regulatory monitoring measurement at an urban traffic location, an improvement of 11.7μg/m3 from the baseline dispersion model. This enhanced accuracy enabled a more precise assessment of the population exposure to air pollution. The data fusion model showed a higher population exposure to NO2 compared to the dispersion model, providing valuable insights that can inform environmental health policies aimed at safeguarding public health.
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【摘要翻譯】快速城市化導(dǎo)致了許多環(huán)境問(wèn)題，包括空氣質(zhì)量差。隨著城市化進(jìn)程的持續(xù)，迫切需要減輕空氣污染并最小化其對(duì)健康的不利影響。本研究旨在通過(guò)整合分散模型輸出與大規(guī)模公民科學(xué)數(shù)據(jù)來(lái)推進(jìn)城市空氣質(zhì)量建模，這些數(shù)據(jù)由愛(ài)爾蘭科克市的642名參與者在4周內(nèi)收集。分散模型能夠識(shí)別NO2空氣污染的主要來(lái)源，同時(shí)也彌補(bǔ)了監(jiān)管監(jiān)測(cè)工作的不足。將擴(kuò)散管數(shù)據(jù)與分散模型輸出整合，我們開(kāi)發(fā)了一個(gè)數(shù)據(jù)融合模型，該模型捕捉到了空氣質(zhì)量的局部波動(dòng)，在主要道路交叉口觀察到的增加高達(dá)22μg/m3。數(shù)據(jù)融合模型提供了更準(zhǔn)確的NO2濃度表示，估計(jì)值與城市交通地點(diǎn)的監(jiān)管監(jiān)測(cè)測(cè)量值相差1.3μg/m3，比基線(xiàn)分散模型提高了11.7μg/m3。這種增強(qiáng)的準(zhǔn)確性使得對(duì)人群暴露于空氣污染的評(píng)估更加精確。與分散模型相比，數(shù)據(jù)融合模型顯示了人群對(duì)NO2的更高暴露，提供了寶貴的見(jiàn)解，可以為旨在保護(hù)公共健康的環(huán)境衛(wèi)生政策提供信息。

論文45

Simulation and prediction of daytime surface urban heat island intensity under multiple scenarios via fully connected neural network通過(guò)全連接神經(jīng)網(wǎng)絡(luò)模擬和預(yù)測(cè)多種情景下白天表面城市熱島強(qiáng)度
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【摘要】The intensification of the Surface Urban Heat Island (SUHI), driven by urbanization, land use and land cover (LULC) changes, and population growth, presents significant environmental and public health risks in urban areas. Simulating and predicting SUHI, particularly through the identification of future high SUHI intensity (SUHII) zones, has been recognized as a critical step in mitigating these effects. This study employs a Fully Convolutional Neural Network (FCNN) model, trained on data from four research sites, to simulate the current daytime SUHII across six validation sites in Singapore, utilizing 15 key independent variables identified in previous studies. The model exhibits high validation accuracy, achieving 87.45%. Three projection scenarios, based on projected population growth and LULC changes, predict a decrease in High SUHII across all validation sites, ranging from 98.3% to 9%. This reduction is attributed to the LULC improvements proposed in the 2019 Master Plan. Spatial analysis of the predicted SUHII maps indicates that the majority of High SUHII locations across scenarios remain consistent with the current situation. This research also suggests that the model could be a valuable tool for urban planners, allowing them to assess whether new urban development plans will effectively reduce High SUHII to desired thresholds, thereby mitigating SUHII in urban environments.
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【摘要翻譯】城市熱島效應(yīng)（Surface Urban Heat Island，簡(jiǎn)稱(chēng)SUHI）的加劇，受到城市化、土地利用和土地覆蓋（LULC）變化以及人口增長(zhǎng)的驅(qū)動(dòng)，在城市地區(qū)帶來(lái)了重大的環(huán)境和公共健康風(fēng)險(xiǎn)。通過(guò)模擬和預(yù)測(cè)SUHI，特別是識(shí)別未來(lái)高強(qiáng)度SUHI區(qū)域（SUHII），被認(rèn)為是減輕這些影響的關(guān)鍵步驟。本研究采用全卷積神經(jīng)網(wǎng)絡(luò)（Fully Convolutional Neural Network，簡(jiǎn)稱(chēng)FCNN）模型，利用四個(gè)研究點(diǎn)的數(shù)據(jù)進(jìn)行訓(xùn)練，模擬新加坡六個(gè)驗(yàn)證點(diǎn)當(dāng)前白天的SUHII，使用了先前研究中確定的15個(gè)關(guān)鍵獨(dú)立變量。模型展現(xiàn)出高驗(yàn)證準(zhǔn)確率，達(dá)到了87.45%。基于預(yù)測(cè)的人口增長(zhǎng)和LULC變化，三個(gè)預(yù)測(cè)情景預(yù)測(cè)所有驗(yàn)證點(diǎn)的高強(qiáng)度SUHII將減少，范圍從98.3%降至9%。這一減少歸因于2019年總體規(guī)劃中提出的LULC改進(jìn)。對(duì)預(yù)測(cè)的SUHII地圖進(jìn)行空間分析表明，大多數(shù)情景下的高強(qiáng)度SUHII位置與當(dāng)前情況保持一致。這項(xiàng)研究還表明，該模型可能是城市規(guī)劃者的一個(gè)有價(jià)值工具，使他們能夠評(píng)估新的城市發(fā)展規(guī)劃是否能有效降低高強(qiáng)度SUHII至期望閾值，從而減輕城市環(huán)境中的SUHI。

論文46

Dynamic integrated simulation of carbon emission reduction potential in?China's building sector中國(guó)建筑領(lǐng)域減排潛力的動(dòng)態(tài)綜合模擬
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【摘要】The building sector has received increasing attention due to its significant contribution to carbon emissions and great reduction potential. With continuous technology implementation, it is critical to identify the trajectories of emissions and potential reduction for China's building sector to achieve carbon peak and carbon neutrality targets. This study develops an integrated model by combining the system dynamics (SD) model and the long-range energy alternatives planning (LEAP) model to estimate energy consumption and carbon emissions of different types of buildings. The LEAP model is constructed based on the predictions from the SD model, which identifies the critical activity level parameters including number of households and building stocks by type. Coupled with scenario analysis, the model is applied to simulate the building emissions reduction potential and the contribution of five mitigation technologies across four scenarios. The results indicate that carbon emissions will peak at 2.80 Billion tons (Bt) in 2032 under the business as usual scenario (BAS). By 2060, reductions of 28.55 %, 59.03 %, and 76.53 % will be achieved under the advanced technology scenario (ATS), intersectoral synergistic scenario (ISS), and continuous improvement scenario (CIS), respectively. Among the five technologies, electrification and efficient end-use device technologies contribute the greatest reductions of 0.16 Bt and 0.23 Bt, respectively. Under the CIS, carbon emissions will advance toward 2024 with a peak of 2.47 Bt. This study not only provides a theoretical tool for energy and emissions analysis but also formulates targeted technology roadmaps for building sector emission mitigation.
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【摘要翻譯】建筑領(lǐng)域因其對(duì)碳排放的重大貢獻(xiàn)和巨大的減排潛力而受到越來(lái)越多的關(guān)注。隨著技術(shù)的持續(xù)實(shí)施，識(shí)別中國(guó)建筑領(lǐng)域排放軌跡和潛在減排對(duì)于實(shí)現(xiàn)碳達(dá)峰和碳中和目標(biāo)至關(guān)重要。本研究開(kāi)發(fā)了一個(gè)綜合模型，通過(guò)結(jié)合系統(tǒng)動(dòng)力學(xué)（SD）模型和長(zhǎng)期能源替代規(guī)劃（LEAP）模型來(lái)估算不同類(lèi)型建筑的能源消耗和碳排放。LEAP模型基于SD模型的預(yù)測(cè)構(gòu)建，確定了包括家庭數(shù)量和按類(lèi)型劃分的建筑存量等關(guān)鍵活動(dòng)水平參數(shù)。結(jié)合情景分析，該模型被應(yīng)用于模擬建筑排放減排潛力和五種減緩技術(shù)在四種情景下的貢獻(xiàn)。結(jié)果表明，在一切照舊情景（BAS）下，碳排放將在2032年達(dá)到28億噸（Bt）的峰值。到2060年，在先進(jìn)技術(shù)情景（ATS）、部門(mén)協(xié)同情景（ISS）和持續(xù)改進(jìn)情景（CIS）下，將分別實(shí)現(xiàn)28.55%、59.03%和76.53%的減排。在五種技術(shù)中，電氣化和高效終端設(shè)備技術(shù)分別貢獻(xiàn)了最大的減排量，分別為0.16 Bt和0.23 Bt。在CIS情景下，碳排放將在2024年提前達(dá)到2.47 Bt的峰值。本研究不僅提供了能源和排放分析的理論工具，還為建筑領(lǐng)域排放減緩制定了針對(duì)性的技術(shù)路線(xiàn)圖。

論文47

Exploring the climatic conditions effect on spatial urban photovoltaic systems development using a spatial multi-criteria decision analysis: A multi-city analysis使用空間多標(biāo)準(zhǔn)決策分析探索氣候條件對(duì)城市光伏系統(tǒng)發(fā)展的影響：多城市分析
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【摘要】Identifying suitable locations for urban photovoltaic systems (UPVS) is crucial for achieving sustainable energy objectives and designing smart, eco-friendly cities. This study assesses the potential for UPVS expansion in eight cities across different climatic zones in Iran using a spatial multi-criteria decision-making method. Two scenarios were analyzed: the first compared spatial potential within each city, and the second compared potential between cities. The findings indicate that rooftops of the tallest buildings in densely populated areas, especially those with high solar energy output and sky view factor, hold the greatest potential for UPVS development. These locations are often near parks, commercial centers, and road networks. In the first scenario, Ardabil (5.70%), Gorgan (4.65%), Mashhad (5.46%), Tehran (8.10%), Kermanshah (5.76%), Shahrekord (3.41%), Kerman (8.67%), and Zahedan (8.56%) show significant potential for photovoltaic development. In the second scenario, cities in hot, dry climates like Zahedan and Kerman exhibit greater potential compared to cities in moderate, humid climates like Ardabil and Gorgan. Based on the analysis of this scenario, Ardabil (0.04%), Gorgan (1.49%), Mashhad (5.58%), Tehran (5.06%), Kermanshah (0.00%), Shaherkord (0.03%), Kerman (21.70%) and Zahedan (39.11%) showed a very high potential for UPVS development. The results of this study offer valuable insights for urban solar energy planning.
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【摘要翻譯】確定適合城市光伏系統(tǒng)（UPVS）的地點(diǎn)對(duì)于實(shí)現(xiàn)可持續(xù)能源目標(biāo)和設(shè)計(jì)智能、環(huán)保的城市至關(guān)重要。本研究使用空間多標(biāo)準(zhǔn)決策方法，評(píng)估了伊朗不同氣候區(qū)八個(gè)城市UPVS擴(kuò)張的潛力。分析了兩種情景：第一種比較了每個(gè)城市內(nèi)的空間潛力，第二種比較了城市之間的潛力。研究結(jié)果表明，在人口密集區(qū)最高建筑的屋頂，尤其是那些太陽(yáng)能輸出高和天空視野因子大的地方，對(duì)于UPVS發(fā)展具有最大的潛力。這些地點(diǎn)通?？拷珗@、商業(yè)中心和道路網(wǎng)絡(luò)。在第一種情景下，阿爾達(dá)比勒（5.70%）、戈?duì)柛?#xff08;4.65%）、馬什哈德（5.46%）、德黑蘭（8.10%）、克爾曼沙阿（5.76%）、沙赫魯?shù)?#xff08;3.41%）、克爾曼（8.67%）和扎黑丹（8.56%）顯示出顯著的光伏發(fā)展?jié)摿?。在第二種情景下，像扎黑丹和克爾曼這樣炎熱干燥氣候的城市，與像阿爾達(dá)比勒和戈?duì)柛蔬@樣溫和濕潤(rùn)氣候的城市相比，展現(xiàn)出更大的潛力?；谶@一情景的分析，阿爾達(dá)比勒（0.04%）、戈?duì)柛?#xff08;1.49%）、馬什哈德（5.58%）、德黑蘭（5.06%）、克爾曼沙阿（0.00%）、沙赫魯?shù)?#xff08;0.03%）、克爾曼（21.70%）和扎黑丹（39.11%）顯示出非常高的UPVS發(fā)展?jié)摿?。這項(xiàng)研究的結(jié)果為城市太陽(yáng)能規(guī)劃提供了寶貴的見(jiàn)解。

論文48

Projected risk and vulnerability to heat waves for Montreal, Quebec, using Gaussian processes
使用高斯過(guò)程預(yù)測(cè)蒙特利爾，魁北克熱浪的風(fēng)險(xiǎn)和脆弱性
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【摘要】Urban areas face increasing climate risks and are at the forefront of adaptation challenges. Despite the growing number of cities that are developing adaptation plans, they often fail to implement, monitor, and evaluate them. This article addresses this issue by modelling a comprehensive risk assessment that includes vulnerability using Gaussian processes. Mortality during heat waves for the City of Montreal, Quebec, is used as a case study. The vulnerability model includes sensitivity components (age and socioeconomic variables) and an adaptive capacity component (a suitable level of vegetation to decrease the urban heat island effect). Various aging and climate scenarios (SSP1-2.6, SSP2-4.5 and SSP5-8.5) are used for projections up to year 2100. SHAP values are used to show features contributions to the model. As the climate warms, Montreal will face increasing summer mortality. The city should therefore increase its vegetation cover in vulnerable neighbourhoods. Despite inherent limitations to the complexity of risk modelling, this approach facilitates the implementation of adaptation solutions and their monitoring. Greater effort should be made in the future to improve comprehensive risk modelling and more research is required to validate which framework is best in closing the gap between science and political decisions.
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【摘要翻譯】城市地區(qū)面臨日益增加的氣候風(fēng)險(xiǎn)，并且在適應(yīng)挑戰(zhàn)中處于前沿。盡管越來(lái)越多的城市正在制定適應(yīng)計(jì)劃，但它們往往未能實(shí)施、監(jiān)測(cè)和評(píng)估這些計(jì)劃。本文通過(guò)建模一個(gè)包括脆弱性在內(nèi)的全面風(fēng)險(xiǎn)評(píng)估來(lái)解決這個(gè)問(wèn)題，使用高斯過(guò)程進(jìn)行建模。以魁北克省蒙特利爾市在熱浪期間的死亡率作為案例研究。脆弱性模型包括敏感性組成部分（年齡和社會(huì)經(jīng)濟(jì)變量）和適應(yīng)能力組成部分（適當(dāng)?shù)闹脖凰揭詼p少城市熱島效應(yīng)）。使用了不同的老齡化和氣候情景（SSP1-2.6、SSP2-4.5和SSP5-8.5）進(jìn)行直到2100年的預(yù)測(cè)。SHAP值用于顯示特征對(duì)模型的貢獻(xiàn)。隨著氣候變暖，蒙特利爾將面臨日益增加的夏季死亡風(fēng)險(xiǎn)。因此，該市應(yīng)該在脆弱社區(qū)增加植被覆蓋。盡管風(fēng)險(xiǎn)建模的復(fù)雜性存在固有限制，但這種方法有助于實(shí)施適應(yīng)解決方案及其監(jiān)測(cè)。未來(lái)應(yīng)加大努力改進(jìn)全面風(fēng)險(xiǎn)建模，并需要更多研究來(lái)驗(yàn)證哪個(gè)框架最能彌合科學(xué)與政治決策之間的差距。

論文49

Enhancing renewable energy evaluation: Utilizing complex picture fuzzy frank aggregation operators in multi-attribute group decision-making
提升可再生能源評(píng)估：在多屬性群體決策中利用復(fù)雜圖像模糊Frank聚合算子

【摘要】Renewable energy resources are pivotal in addressing global energy challenges and achieving sustainable development goals. In this context, the complex picture fuzzy sets (CPFS) theory provides a robust framework for handling complex and uncertain information. This article presents innovative strategies based on Frank aggregation tools to evaluate and prioritize renewable energy resources. By incorporating the concepts of abstinence value, membership value, and non-membership values in the CPFS framework, the characteristics and capabilities of the CPFS are extended to represent a broader range of information. Specifically, we introduce novel operators such as the CPF Frank weighed average (CPFFWA) and CPF Frank weighed geometric (CPFFWG) operators, effectively handling insufficient and unpredictable information during the aggregation process. Moreover, we explore specialized variants of these operators, such as the CPF Frank order weighed average (CPFFOWA) and CPF Frank order weighed geometric (CPFFOWG) operators, which possess distinct characteristics suitable for specific decision-making scenarios. The proposed methodologies are applied within the framework of multi-attribute group decision-making (MAGDM) to evaluate and identify optimal renewable energy options from a group of alternatives. Through comparative analyses and validation against existing approaches, the advantages and consistency of our developed operators are demonstrated. The findings highlight the effectiveness of the CPF-based Frank aggregation operators in evaluating renewable energy resources, providing decision-makers with a comprehensive and reliable framework for renewable energy planning and decision-making.
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【摘要翻譯】可再生能源資源在應(yīng)對(duì)全球能源挑戰(zhàn)和實(shí)現(xiàn)可持續(xù)發(fā)展目標(biāo)中起著關(guān)鍵作用。在這種背景下，復(fù)雜圖像模糊集（CPFS）理論提供了一個(gè)處理復(fù)雜和不確定信息的強(qiáng)大框架。本文提出了基于Frank聚合工具的創(chuàng)新策略，用于評(píng)估和優(yōu)先考慮可再生能源資源。通過(guò)在CPFS框架中融入棄權(quán)值、成員值和非成員值的概念，擴(kuò)展了CPFS的特征和能力，以表示更廣泛的信息范圍。具體來(lái)說(shuō)，我們引入了新的算子，如復(fù)雜圖像模糊Frank加權(quán)平均（CPFFWA）和復(fù)雜圖像模糊Frank加權(quán)幾何（CPFFWG）算子，有效地在聚合過(guò)程中處理不充分和不可預(yù)測(cè)的信息。此外，我們還探索了這些算子的特殊變體，如復(fù)雜圖像模糊Frank序加權(quán)平均（CPFFOWA）和復(fù)雜圖像模糊Frank序加權(quán)幾何（CPFFOWG）算子，它們具有適合特定決策場(chǎng)景的獨(dú)特特征。所提出的方法論在多屬性群體決策（MAGDM）框架內(nèi)應(yīng)用，以評(píng)估和識(shí)別一組備選方案中的最佳可再生能源選項(xiàng)。通過(guò)與傳統(tǒng)方法的比較分析和驗(yàn)證，展示了我們開(kāi)發(fā)的算子的優(yōu)勢(shì)和一致性。研究發(fā)現(xiàn)強(qiáng)調(diào)了基于CPF的Frank聚合算子在評(píng)估可再生能源資源方面的有效性，為決策者提供了全面可靠的框架，用于可再生能源規(guī)劃和決策。

論文50

Washable oil-coated structured support for passive outdoor particulate matters trapping
可清洗的油涂層結(jié)構(gòu)支撐，用于被動(dòng)捕獲戶(hù)外顆粒物
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【摘要】Direct outdoor air depollution represents an interesting path for preventing indirect disease. In the present work, a simple and efficient PMs trapping media based on the use of an oil-coated structured polymer media was developed for passive trapping of various PMs, ranging from coarse (PM10), to fine (PM2.5) and ultra-fine (PM1) dimension in outdoor environment. The device can be easily regenerated by a simple washing with a mixture of water and detergent followed by a new oil coating cycle. The total PM loading mass of the passive trap and the recovered PMs are analyzed through different techniques and confirm the great efficiency of such filter to trap various PMs when exposed to a high traffic road. The spent filter can be regenerated through a simple washing step and can be repeatedly re-used with similar PM loading mass. The high and long-lasting total PM loading mass were also supported by numerical simulations based on computational fluid dynamics, also used to propose an optimization implementation of such system for future deployment at scale.
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【摘要翻譯】直接戶(hù)外空氣去污染代表了一種預(yù)防間接疾病的有趣途徑。在當(dāng)前的研究工作中，開(kāi)發(fā)了一種基于使用油涂層結(jié)構(gòu)化聚合物介質(zhì)的簡(jiǎn)單高效PMs（顆粒物）捕獲介質(zhì)，用于在戶(hù)外環(huán)境中被動(dòng)捕獲各種尺寸的PMs，從粗顆粒（PM10）到細(xì)顆粒（PM2.5）和超細(xì)顆粒（PM1）。該裝置可以通過(guò)使用水和洗滌劑的混合物進(jìn)行簡(jiǎn)單的清洗，然后進(jìn)行新的油涂循環(huán)來(lái)輕松再生。通過(guò)不同的技術(shù)分析被動(dòng)陷阱的總PM負(fù)載質(zhì)量和回收的PMs，證實(shí)了這種過(guò)濾器在暴露于高交通道路時(shí)捕獲各種PMs的高效性。使用過(guò)的過(guò)濾器可以通過(guò)簡(jiǎn)單的洗滌步驟進(jìn)行再生，并且可以重復(fù)使用，保持相似的總PM負(fù)載質(zhì)量?；谟?jì)算流體動(dòng)力學(xué)的數(shù)值模擬也支持了高且持久的總PM負(fù)載質(zhì)量，并用于提出這種系統(tǒng)未來(lái)大規(guī)模部署的優(yōu)化實(shí)施方案。

論文51

Thermally driven MnCl2single bondNH4Cl resorption cycle for seasonal thermal management of urban buildings
熱驅(qū)動(dòng)的MnCl2-NH4Cl再吸附循環(huán)用于城市建筑季節(jié)性熱管理
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【摘要】The frequency of extreme weather conditions caused by global greenhouse gas emissions has led to a significant increase in energy consumption for refrigeration and heating supply in urban buildings. However, conventional sensible and latent heat storage technologies hold low thermal energy storage density and short-term energy storage capabilities. Additionally, electrically driven compression refrigeration with non-negligible global warming potential (GWP) is unsuited to high ambient temperatures in summer. We propose an advanced strategy, adopting the MnCl2NH4Cl resorption cycle to achieve efficient desorption refrigeration of NH4Cl and resorption heating supply of MnCl2?under seasonal conditions. Experimental results have demonstrated that our proof-of-concept system can output 70 °C heat with a thermal energy storage density of 166.2 kJ·kg?1, providing continuous heating for 30.5 min under the winter ambient temperature of 10 °C. Moreover,?COPref?remained at 0.589 for continuous indoor refrigeration lasting 58.5 min under summer ambient and refrigeration temperatures of around 30 °C and 2 °C, respectively. This exceptional adaptability to ambient temperatures enables efficient adjustment of urban building comfort. Our work presents a promising zero-carbon pathway for replacing conventional fossil fuels employed in the thermal management of urban buildings with solar energy.
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【摘要翻譯】由于全球溫室氣體排放導(dǎo)致的極端天氣條件頻發(fā)，城市建筑中制冷和供暖供應(yīng)的能源消耗顯著增加。然而，傳統(tǒng)的顯熱和潛熱儲(chǔ)存技術(shù)具有較低的熱能儲(chǔ)存密度和短期能源儲(chǔ)存能力。此外，電驅(qū)動(dòng)的壓縮制冷系統(tǒng)在全球變暖潛力（GWP）方面的影響不可忽視，且在夏季高溫環(huán)境下不適用。我們提出了一種先進(jìn)的策略，采用MnCl2-NH4Cl再吸附循環(huán)，以在季節(jié)性條件下實(shí)現(xiàn)NH4Cl的高效脫附制冷和MnCl2的再吸附供暖供應(yīng)。實(shí)驗(yàn)結(jié)果表明，我們的概念驗(yàn)證系統(tǒng)能在10°C的冬季環(huán)境溫度下輸出70°C的熱能，熱能儲(chǔ)存密度為166.2 kJ·kg?1，提供連續(xù)30.5分鐘的供暖。此外，在夏季環(huán)境溫度約為30°C和制冷溫度約為2°C的條件下，COPref保持在0.589，為室內(nèi)制冷提供連續(xù)58.5分鐘。這種對(duì)環(huán)境溫度的出色適應(yīng)性使得能夠高效調(diào)節(jié)城市建筑的舒適度。我們的工作為用太陽(yáng)能替代城市建筑熱管理中使用的傳統(tǒng)化石燃料提供了一條有前景的零碳路徑。

論文52

A cross-scale indicator framework for the study of annual stability of land surface temperature in different land uses
用于研究不同土地利用類(lèi)型下地表溫度年穩(wěn)定性的跨尺度指標(biāo)框架
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【摘要】Urban Land Surface Temperature (LST) is crucial in surface urban heat island (SUHI) and microclimate studies. Currently, research has focused on seasonal LST differences across land uses, but annual LST fluctuations (ΔLST) within the same land use and their drivers remain underexplored. To explore the impact of land characteristics and urban elements on seasonal LST differences, we propose annual LST stability. We constructed a new indicator framework based on Land Use and Land Cover (LULC), supplemented by Land Morphology (LM) and Land Properties (LP), for cross-scale ΔLST research. We identified land use ratios and key characteristics of urban plots with high stability. The results show an interactive effect of the green land ratio to other land on ΔLST. For residential and office land, the green space ratio (GSR) is key to annual LST stability. Residential land needs a GSR of more than 24 %. The floor area ratio (FAR) for residential and office land has a significant nonlinear effect on annual LST stability, with FARs of 1.8 for residential land and 1.5 for office land being most detrimental to the LST stability. For practical implications, we conducted cluster analyses on residential, office, and green lands, providing strategies to improve stability. These conclusions help balance land economic benefits with urban climate resilience and guide urban planning and design to address the challenges of heat and cold waves.

【摘要翻譯】城市地表溫度（LST）在研究城市熱島（SUHI）和微氣候方面至關(guān)重要。目前，研究主要集中在不同土地利用類(lèi)型之間的季節(jié)性LST差異，但同一土地利用類(lèi)型內(nèi)年度LST波動(dòng)（ΔLST）及其驅(qū)動(dòng)因素尚未得到充分探討。為了探索土地特性和城市元素對(duì)季節(jié)性LST差異的影響，我們提出了年度LST穩(wěn)定性這一概念。我們構(gòu)建了一個(gè)基于土地利用和土地覆蓋（LULC）的新指標(biāo)框架，并補(bǔ)充了土地形態(tài)（LM）和土地屬性（LP），用于跨尺度ΔLST研究。我們識(shí)別了具有高穩(wěn)定性的城市地塊的土地利用比例和關(guān)鍵特性。結(jié)果顯示，綠地比例與其他土地對(duì)ΔLST有交互作用。對(duì)于住宅和辦公用地，綠地空間比例（GSR）是年度LST穩(wěn)定性的關(guān)鍵。住宅用地需要超過(guò)24%的GSR。住宅和辦公用地的建筑密度（FAR）對(duì)年度LST穩(wěn)定性有顯著的非線(xiàn)性影響，住宅用地FAR為1.8，辦公用地FAR為1.5時(shí)，對(duì)LST穩(wěn)定性的影響最為不利。為了實(shí)際應(yīng)用，我們對(duì)住宅、辦公和綠地進(jìn)行了聚類(lèi)分析，提供了提高穩(wěn)定性的策略。這些結(jié)論有助于平衡土地經(jīng)濟(jì)收益與城市氣候韌性，指導(dǎo)城市規(guī)劃與設(shè)計(jì)，以應(yīng)對(duì)熱浪和寒潮的挑戰(zhàn)。

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