Environmental Impact Assessment Review最新文献_第10页

Assessing policies for health impact and cost reduction from PM2.5 formation 评估PM2.5形成对健康的影响和降低成本的政策

IF 11.2 1区社会学 Q1 ENVIRONMENTAL STUDIES

Environmental Impact Assessment Review

Pub Date : 2026-04-01 Epub Date: 2025-12-02 DOI: 10.1016/j.eiar.2025.108265

Maywalin Jumsai Na Ayudhya , Shabbir H. Gheewala , Vladimir Strezov , Jitti Mungkalasiri , Sirima Panyametheekul , Ekbordin Winijkul , Trakarn Prapaspongsa

Fine particulate matter (PM_2.5) poses significant health and economic burdens, particularly in developing regions, such as Southeast Asia. This study assesses the health impacts and economic costs of PM_2.5 formation in Thailand and evaluates mitigation policies to reduce these effects by 2037. Analyses at the city to national level examine major emission sources, including road transport, industry, power generation, household activities, open burning of agricultural waste, livestock, fertilizer application, and forest fires. Without intervention, health impacts are projected to increase by 22 % from 2022 levels, reaching 403,373 disability-adjusted life years (DALYs) annually and resulting in an economic burden of 301 billion Thai Baht (THB) per year. Scenario analysis identifies the best integrated mitigation strategy, which includes E-Buses, reducing energy consumption in industry and power generation, banning agricultural residue open burning, and decreasing forest fire hotspots. This strategy could reduce health impacts by up to 70 % and could yield an economic benefit of approximately 211 billion THB annually. A ban on agricultural burning is identified as one of the most effective interventions, potentially eliminating 38 % of the health burden in Thailand. Findings highlight the urgency of comprehensive, multi-sectoral policies to mitigate PM_2.5 pollution, with emphasis on agricultural waste management and enhanced emission controls. These insights provide a framework for other Southeast Asian countries facing similar air pollution challenges.

细颗粒物（PM2.5）造成严重的健康和经济负担，特别是在东南亚等发展中地区。本研究评估了泰国PM2.5形成的健康影响和经济成本，并评估了到2037年减少这些影响的缓解政策。从城市到国家层面的分析检查了主要的排放源，包括道路运输、工业、发电、家庭活动、露天焚烧农业废弃物、牲畜、肥料施用和森林火灾。如果不进行干预，预计健康影响将比2022年的水平增加22%，达到每年403,373个残疾调整生命年，并导致每年3010亿泰铢的经济负担。情景分析确定了最佳综合缓解战略，其中包括电动客车、减少工业和发电能耗、禁止露天焚烧农业剩余物以及减少森林火灾热点。这一战略可将对健康的影响减少至多70%，每年可产生约2110亿泰铢的经济效益。禁止农业焚烧被确定为最有效的干预措施之一，有可能消除泰国38%的卫生负担。研究结果强调，迫切需要采取全面的多部门政策来减轻PM2.5污染，重点是农业废物管理和加强排放控制。这些见解为其他面临类似空气污染挑战的东南亚国家提供了一个框架。

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引用次数: 0

Assessing and improving the resilience of a stakeholder cooperation network for urban waterlogging disaster management from the perspective of social capital: A case study of China 社会资本视角下城市内涝灾害管理的利益相关者合作网络弹性评估与提升——以中国为例

IF 11.2 1区社会学 Q1 ENVIRONMENTAL STUDIES

Environmental Impact Assessment Review

Pub Date : 2026-04-01 Epub Date: 2025-12-11 DOI: 10.1016/j.eiar.2025.108305

Keling Liu , Yixiao Yang , Dan Song , Bin Chen

An effective urban waterlogging disaster management (UWDM) network enables cities to respond promptly to and recover from disasters. The social capital embedded within the UWDM network, formed by various stakeholders, is a key resource for establishing urban disaster resilience. This study constructs an evaluation framework based on the relationships among social network analysis (SNA), social capital, and network resilience to provide a quantifiable approach for improving these networks. Using SNA, we examined policy documents related to urban waterlogging disasters in China to explore the evolving roles and interaction mechanisms of stakeholders and the social capital. This framework enables the identification of stakeholder roles, the assessment of dynamic changes in social capital and network resilience, and the selection of optimal strategies to increase the network efficiency. The results show that social capital and network resilience initially decrease and then increase as the urban waterlogging disaster progresses. Increased cooperation among local governments, NGOs, and other stakeholders can increase social capital and network resilience by up to 75.96 % and 58.93 %, respectively. These findings provide valuable insights into stakeholder cooperation patterns and stage-dependent social capital dynamics, which can inform future policy development in urban waterlogging.

有效的城市内涝灾害管理（UWDM）网络使城市能够迅速应对灾害并从灾害中恢复过来。由不同利益相关者组成的UWDM网络中嵌入的社会资本是建立城市抗灾能力的关键资源。本研究构建了一个基于社会网络分析、社会资本和网络弹性之间关系的评估框架，旨在为改善社会网络提供一个可量化的方法。本文利用SNA分析了中国城市内涝灾害的相关政策文件，探讨了利益相关者与社会资本的角色演变及其互动机制。该框架能够识别利益相关者角色，评估社会资本和网络弹性的动态变化，并选择最优策略以提高网络效率。结果表明，随着城市内涝灾害的发展，社会资本和网络恢复力呈现先降低后增加的趋势。加强地方政府、非政府组织和其他利益相关者之间的合作，可以使社会资本和网络弹性分别提高75.96%和58.93%。这些发现为利益相关者合作模式和阶段依赖的社会资本动态提供了有价值的见解，可以为未来城市内涝政策的制定提供信息。

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引用次数: 0

Revealing the nighttime warm effects of urban water bodies: Evidence from Wuhan, China 揭示城市水体夜间变暖效应：来自中国武汉的证据

IF 11.2 1区社会学 Q1 ENVIRONMENTAL STUDIES

Environmental Impact Assessment Review

Pub Date : 2026-04-01 Epub Date: 2025-12-11 DOI: 10.1016/j.eiar.2025.108303

Xiangyun Zeng , Qiaoling Luo , Mingxing Liu , Youcheng Chu , Jiayu Rong , Junfang Zhou

Water-based solutions are considered to be an effective measure to address the urban heat problem. While urban water bodies provide cooling benefits during the day, their potential nighttime warming effects (WWE) remain poorly understood. Take Wuhan, known as “City of Hundred Lakes”, as an example, this gap was addressed by introducing the water surface temperature (WST) and water warming intensity (WWI) based on the intrinsic process of WWE to quantify the warming effects. The heterogeneity of WWE at night in summer was revealed using ECOSTRESS with a high spatial resolution of 70 m. Random forest regression, Shapley additive explanations, and accumulated local effects models were employed to examine the influence mechanism of WWE. The findings indicate that: (1) 81.15 % of lakes in Wuhan become “heat sources” at summer night during a typical high-temperature day, with an obvious warming effect, and the warming impact distance is about 375 m on average. (2) Among lakes with warming effects, the average surface temperature was 1.06 °C higher than the Wuhan Metropolitan Development Area average, causing an average warming impact of 1.07 °C. (3) Lake area, distance to city center, and green space aggregation were dominant features influencing WST and WWI, while WWE was closely linked to urbanization. Controls on urban form, such as vegetation features, can effectively mitigate the intensity of warming impacts, while integrated controls on internal and external features, such as building height and building volume, can help reduce WST. This study provided a nighttime perspective judgment for coping with the impact of water bodies on the urban thermal environment.

水基解决方案被认为是解决城市热问题的有效措施。虽然城市水体在白天提供冷却效益，但其潜在的夜间变暖效应（WWE）仍然知之甚少。以“百湖之城”武汉为例，通过引入水体表面温度（WST）和水体增温强度（WWI）来量化增温效应，解决了这一空白。利用70 m高空间分辨率的ECOSTRESS分析了夏季夜间WWE的异质性。采用随机森林回归、Shapley加性解释和累积局部效应模型对WWE的影响机制进行了研究。结果表明：(1)在典型高温日，武汉市81.15%的湖泊成为夏夜“热源”，增温效应明显，增温影响距离平均约为375 m；(2)在有增暖效应的湖泊中，地表平均温度比武汉城市开发区平均温度高1.06℃，造成平均增暖影响1.07℃。(3)湖泊面积、距市中心距离和绿地聚集是影响WST和WWI的主要特征，而WWE与城市化密切相关。控制城市形态，如植被特征，可以有效地减轻变暖影响的强度，而综合控制内部和外部特征，如建筑高度和建筑体积，可以帮助减少WST。该研究为应对水体对城市热环境的影响提供了夜间视角判断。

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引用次数: 0

Elucidating the spatial heterogeneity and its driver factors of land surface temperature responses to solar farm development in China 中国太阳能发电场发展对地表温度响应的空间异质性及其驱动因素分析

IF 11.2 1区社会学 Q1 ENVIRONMENTAL STUDIES

Environmental Impact Assessment Review

Pub Date : 2026-04-01 Epub Date: 2025-12-09 DOI: 10.1016/j.eiar.2025.108302

Yuqing Dong , Xin Lyu , Xiaobing Li , Dongliang Dang

Solar energy, as a low-carbon energy source, plays a critical role in the global energy transition. While existing studies have examined the impact of SF development on land surface temperature (LST), inconsistent conclusions underscore an urgent need to systematically reveal the spatial heterogeneity of these impacts and their driving factors. Therefore, this study takes 1266 solar farms (SFs) in China as research objects. Based on the Google Earth Engine platform and Landsat satellite data, we revealed the patterns of LST impacts from SF construction and operation. Combined with machine learning methods, we systematically elucidated the spatial heterogeneity characteristics of SF on LST, and simulated the potential future impacts of SF development on LST at the grid scale across China. The results showed that SF development overall caused a significant increase in LST of 0.809 °C (p < 0.001); however, spatial differentiation was highly significant. Specifically, warming dominated in eastern humid zones, cropland land cover types, and small-scale SFs, while cooling prevailed in northwest arid zones, barren land cover types, and large-scale SFs. Macro-scale geoclimatic factors (e.g., air pressure, solar radiation) exhibited the most prominent regulatory effects on LST, followed by ecological and layout factors (e.g., NDVI, SF area). In addition, one of the key findings was that ignoring the construction year of different SFs overestimated their impact on LST, which was being reported for the first time. The research framework can provide methodological extensions for research in similar regions, and the findings can provide theoretical support for the sustainable development of solar energy.

太阳能作为一种低碳能源，在全球能源转型中发挥着至关重要的作用。虽然已有研究考察了顺丰发展对地表温度的影响，但结论不一致，迫切需要系统地揭示这些影响的空间异质性及其驱动因素。因此，本研究以中国1266个太阳能发电场为研究对象。基于谷歌地球引擎平台和Landsat卫星数据，揭示了SF建设和运行对地表温度的影响模式。结合机器学习方法，系统阐述了顺丰发展对地表温度的空间异质性特征，并在网格尺度上模拟了未来中国顺丰发展对地表温度的潜在影响。结果表明，SF发展总体上导致地表温度显著升高0.809°C (p < 0.001)；但空间分异非常显著。其中，东部湿润区、耕地覆盖类型和小尺度森林覆盖区以变暖为主，西北干旱区、荒地覆盖类型和大尺度森林覆盖区以变冷为主。宏观地理气候因子（如气压、太阳辐射）对地表温度的调节作用最为显著，其次是生态因子和布局因子（如NDVI、SF面积）。此外，一个重要的发现是忽略不同SFs的建设年份高估了它们对地表温度的影响，这是第一次被报道。该研究框架可为类似地区的研究提供方法论延伸，研究成果可为太阳能可持续发展提供理论支持。

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引用次数: 0

A decade of disruption: The threat of international events to global economic and environmental sustainability 混乱的十年：国际事件对全球经济和环境可持续性的威胁

IF 11.2 1区社会学 Q1 ENVIRONMENTAL STUDIES

Environmental Impact Assessment Review

Pub Date : 2026-04-01 Epub Date: 2026-01-05 DOI: 10.1016/j.eiar.2025.108322

Dengcheng Han , David Z. Zhu , Guohe Huang , Sichen Gao

Sustainable development worldwide has been seriously influenced by the disturbance of global supply chains resulting from dynamic international events such as tariff disputes, global epidemics, and regional trade agreements. Amidst efforts to advance global sustainability, events like the COVID-19 pandemic, the Russia-Ukraine conflict, and the Sino-US trade war have reshaped the landscape. Thus, the interactive impacts of multiple events on the achievements of Sustainable Development Goals (SDGs) selected from economic-environmental perspectives (EESDGs, including 13 targets across 10 goals) will be assessed in this study. The alteration of global supply chains among countries and the challenge of regional economy and environment will be emphasized, deepening the understanding of the mechanism behind EESDG changes. Our results suggest that the global pandemic has the weakest negative effect on national EESDG performance (∼1 %), while trade and energy restrictions between the European Union and Russia lead to a much larger reduction (∼7 %). Continued China–United States trade frictions are associated with decreases by ∼4 % for the United States and ∼ 2 % for China. In contrast, the regional trading agreement appears to generate positive effects (2.5–3.6 %). When all four events occur together, the most affected country experiences an overall reduction by ∼5 %. By delivering a comprehensive analysis of both the barriers and potential pathways forward, this study provides valuable insights into seeking effective policies to foster a more sustainable future.

关税争端、全球流行病和区域贸易协定等动态国际事件对全球供应链造成干扰，严重影响了世界范围内的可持续发展。在推动全球可持续发展的努力中，新冠肺炎大流行、俄乌冲突、中美贸易战等事件重塑了这一格局。因此，本研究将评估从经济-环境角度选择的多个事件对可持续发展目标（sdg）实现的互动影响（EESDGs，包括10个目标中的13个目标）。强调国家间全球供应链的变化以及区域经济和环境的挑战，加深对EESDG变化背后机制的理解。我们的研究结果表明，全球大流行对国家EESDG绩效的负面影响最小（约1%），而欧盟和俄罗斯之间的贸易和能源限制导致的降幅要大得多（约7%）。持续的中美贸易摩擦对美国和中国的影响分别为4%和2%。相比之下，区域贸易协定似乎产生了积极的影响（2.5% - 3.6%）。当这四种事件同时发生时，受影响最严重的国家总体减少约5%。通过对障碍和潜在前进路径的全面分析，本研究为寻求有效政策以促进更可持续的未来提供了宝贵的见解。

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引用次数: 0

Multivariate environmental and social life cycle assessment of circular recycled-plastic voided slabs for data-driven sustainable construction 数据驱动的可持续建筑循环再生塑料中空板的多元环境与社会生命周期评价

IF 11.2 1区社会学 Q1 ENVIRONMENTAL STUDIES

Environmental Impact Assessment Review

Pub Date : 2026-04-01 Epub Date: 2025-12-05 DOI: 10.1016/j.eiar.2025.108297

Antonio J. Sánchez-Garrido , Ignacio J. Navarro , Víctor Yepes

The construction sector is a major contributor to climate change and resource depletion, responsible for over 36 % of global final energy use and nearly half of all raw material consumption. Addressing structural systems' environmental and social sustainability is a critical challenge for the transition toward a circular and low-carbon built environment. Among structural elements, floor slabs are particularly critical due to their intensive use of concrete and steel. This study develops an integrated, data-driven framework that combines multivariate structural modeling with environmental and social life cycle assessment (E-LCA and S-LCA), explicitly describing the methodological approach before results are introduced. Leveraging empirical data from 67 real buildings, the framework generates robust pre-dimensioning guidelines that support early-stage decision-making in sustainable construction. Results demonstrate substantial material and impact reductions: concrete and steel use decrease by 23–33 % and up to 29 %, respectively, leading to average endpoint environmental impact reductions of 25 % and global warming potential decreases of 24 %, reaching 30 % for six-meter spans. S-LCA highlights social risk reductions up to 20 % in the Workers and Local Community categories, reflecting safer and more socially responsible construction practices. By integrating advanced multivariate modeling with comprehensive life cycle assessment, this research delivers a decision-oriented tool that accelerates the adoption of circular, low-carbon construction systems. The revised abstract also highlights the policy and management implications: the findings provide actionable insights for engineers, regulators, and policymakers, supporting the development of building codes, resource-efficient design guidelines, and climate-aligned strategies for the construction sector. Ultimately, this work promotes a resilient and sustainable built environment, advancing circular economy principles and the United Nations Sustainable Development Goals (SDGs).

建筑业是造成气候变化和资源枯竭的主要因素，占全球最终能源消耗的36%以上，占所有原材料消耗的近一半。解决结构系统的环境和社会可持续性是向循环低碳建筑环境过渡的关键挑战。在结构元素中，楼板尤其重要，因为它们大量使用混凝土和钢材。本研究开发了一个集成的、数据驱动的框架，将多变量结构建模与环境和社会生命周期评估（E-LCA和S-LCA）相结合，在介绍结果之前明确描述了方法方法。利用来自67座真实建筑的经验数据，该框架生成了强大的预维度指导方针，支持可持续建筑的早期决策。结果显示了大量的材料和影响的减少：混凝土和钢材的使用分别减少了23 - 33%和高达29%，导致平均端点环境影响减少25%，全球变暖潜势减少24%，6米跨度达到30%。S-LCA强调，在工人和当地社区类别中，社会风险降低了20%，反映了更安全和更具社会责任的建筑实践。通过将先进的多元建模与综合生命周期评估相结合，本研究提供了一个决策导向的工具，加速了循环低碳建筑系统的采用。修订后的摘要还强调了政策和管理方面的影响：研究结果为工程师、监管机构和政策制定者提供了可操作的见解，为建筑行业制定建筑规范、资源节约型设计指南和与气候相关的战略提供了支持。最终，这项工作促进了一个有弹性和可持续的建筑环境，推进循环经济原则和联合国可持续发展目标（sdg）。

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引用次数: 0

The role of China's urban green space in synergistically mitigating PM2.5-attributed health impact and climate change 中国城市绿地在协同缓解pm2.5导致的健康影响和气候变化中的作用

IF 11.2 1区社会学 Q1 ENVIRONMENTAL STUDIES

Environmental Impact Assessment Review

Pub Date : 2026-04-01 Epub Date: 2025-12-05 DOI: 10.1016/j.eiar.2025.108298

Yang Guan , Nannan Zhang , Yan Wang , Wentao Lu , Bin Li , Changbo Qin

Urban green space (UGS) serves to mitigate ambient pollutant concentrations through adsorption and dispersion effects while providing carbon sequestration via photosynthesis, contributing synergistically to urban climate and air quality improvement. This study quantifies this synergistic role by evaluating the UGS-attributed reduction in PM_2.5-related health impacts, the UGS-produced carbon sequestration, and the socioeconomic value of these co-benefits, using Chinese cities as a case study. From 2008 to 2022, UGS collectively prevented an estimated 179.34 thousand PM_2.5-related premature deaths and sequestered 349.81 million tCO₂e, corresponding to socioeconomic values of 694.69 and 314.94 billion CNY, respectively. Driven by urbanization and the expansion of UGS in China, UGS-attributed health benefits and carbon sequestration have shown steady growth over the past 15 years. Furthermore, this study evaluates the UGS investment-benefit ratio, environmental Gini coefficient, and offsetting rate (relative to city-level PM_2.5-related health impacts and CO₂ emissions), revealing inequalities in UGS-related environmental investment, benefits, and responsibilities across cities. The identification of associated socioeconomic factors indicated that urbanization progress exerted a complex influence on the capacity of UGS to deliver environmental health and climate co-benefits. As an integral component of urban green infrastructure and a product of urbanization, the UGS helps offset negative environmental impacts arising from urban development and construction to a certain extent. A comprehensive and system-wide evaluation of UGS-derived co-benefits can inform UGS spatial planning and support green urbanization, Beautiful China development, and achieving Sustainable Development Goal 11.

城市绿地（UGS）通过吸附和分散作用降低环境污染物浓度，同时通过光合作用提供碳固存，对城市气候和空气质量的改善有协同作用。本研究以中国城市为例，通过评估ugs对pm2.5相关健康影响的减少、ugs产生的碳固存以及这些共同效益的社会经济价值，量化了这种协同作用。2008年至2022年，UGS共预防了约17934万例与pm2.5相关的过早死亡，封存了3.4981亿吨二氧化碳当量，分别产生了6946.9亿元和3149.4亿元的社会经济价值。在中国城市化和UGS扩张的推动下，UGS带来的健康效益和碳固存在过去15年中稳步增长。此外，本研究还评估了UGS的投资效益比、环境基尼系数和抵消率（相对于城市层面的pm2.5相关健康影响和二氧化碳排放），揭示了UGS相关环境投资、效益和责任在城市之间的不平等。相关社会经济因素的确定表明，城市化进程对UGS提供环境健康和气候共同效益的能力产生了复杂的影响。UGS作为城市绿色基础设施的组成部分和城市化的产物，在一定程度上抵消了城市开发建设对环境的负面影响。对UGS衍生的协同效益进行全面、系统的评估，可以为UGS空间规划提供信息，支持绿色城市化、美丽中国发展和实现可持续发展目标11。

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引用次数: 0

Individual mobility and heat exposure: Distinguishing residence-based and mobility-based assessments 个人流动性和热暴露：区分基于居住和基于流动性的评估

IF 11.2 1区社会学 Q1 ENVIRONMENTAL STUDIES

Environmental Impact Assessment Review

Pub Date : 2026-04-01 Epub Date: 2025-12-03 DOI: 10.1016/j.eiar.2025.108292

Heng Wu, Yong Liu

Human mobility is essential for accurately estimating individual heat exposure, yet most assessments still rely on residence-based measures that neglect daily movements. How mobility patterns influence heat exposure across different urban contexts remains underexplored. This study used mobile phone signaling data to capture individual mobility and employed a numerical model to simulate mean radiant temperature. Residence-based exposure (RBE) and mobility-based exposure (MBE) to heat were estimated in Chongqing and Chengdu, and the differences between the two were examined. Interpretable machine learning was then applied to explore the nonlinear effects of mobility indicators on estimated differences (|MBE–RBE|). Estimated results show that RBE can both overestimate and underestimate heat exposure, leading to biases relative to MBE. These differences were larger in Chongqing, reflecting its more complex mobility patterns. In Chongqing, human flows were more dispersed toward scattered subcenters, increasing exposure, whereas in Chengdu, flows concentrated toward a few employment centers, reducing exposure. Machine learning analysis revealed that mobility indicators substantially influenced the estimated differences. Out-of-home duration had a positive effect once exceeding 6 h, stabilizing beyond 12 h. Travel frequency exerted a positive effect within an effective range from 2 to 4 trips, particularly in Chongqing. Radius of gyration showed a positive effect beyond 3 km, with diminishing marginal effects after 10 km, especially in Chengdu. These findings highlight the methodological importance of incorporating mobility into heat-related assessments and provide evidence for designing targeted planning and adaptation strategies to reduce urban heat risks.

人类活动对于准确估计个人热暴露至关重要，但大多数评估仍然依赖于基于住所的措施，忽视了日常活动。交通模式如何影响不同城市背景下的热暴露仍未得到充分研究。本研究利用手机信号数据捕捉个体移动，并采用数值模型模拟平均辐射温度。估算了重庆和成都的居住热暴露（RBE）和流动热暴露（MBE），并分析了两者之间的差异。然后应用可解释机器学习来探索流动性指标对估计差异（| MBE-RBE |）的非线性影响。估计结果表明，RBE可以高估或低估热暴露，导致相对于MBE的偏差。这些差异在重庆更大，反映了其更复杂的流动模式。在重庆，人口流动向分散的次中心分散，暴露程度增加；在成都，人口流动向少数就业中心集中，暴露程度降低。机器学习分析显示，流动性指标对估计的差异有很大影响。外出时长一旦超过6 h，就会产生积极影响，超过12 h后就会趋于稳定。出行频率在2 ~ 4次有效范围内产生积极影响，特别是在重庆。旋转半径在3 km以上表现为正效应，10 km以上边际效应逐渐减弱，成都地区尤甚。这些发现强调了将流动性纳入热相关评估的方法重要性，并为设计有针对性的规划和适应策略提供了证据，以减少城市热风险。

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引用次数: 0

Environmental sustainability of green roofs in urban areas 城市绿化屋顶的环境可持续性

IF 11.2 1区社会学 Q1 ENVIRONMENTAL STUDIES

Environmental Impact Assessment Review

Pub Date : 2026-04-01 Epub Date: 2025-11-25 DOI: 10.1016/j.eiar.2025.108270

Débora Pons Fiorentin , Sandra Rafael , Paula Quinteiro

Developing urban areas without considering green spaces enhances cities' vulnerabilities to the effects of climate change. To deal with such challenges, the European Union has promoted integration between buildings and Nature-based Solutions (NBS). Green roofs are a type of NBS and have been identified as a key strategy to enhance urban resilience. Although green roofs are seen as an environmentally friendly strategy to address the environmental challenges faced in urban areas, there is still limited evidence regarding the green roofs' potential environmental impacts throughout their life cycle. This paper addresses this literature gap by comparing the environmental impacts of green roofs and conventional flat roofs, through the Life Cycle Assessment (LCA) methodology in a cradle-to-grave approach. Five scenarios were assessed based on the functional unit of 1 square meter of the roof with a 40-year lifespan: i) two extensive green roofs, ii) two intensive green roofs, and iii) one conventional flat roof. The results showed that the performance of extensive green roofs is better than that of intensive ones, mainly due to the type of vegetation that intensive green roofs hold, and consequently, mainly due to the higher material and watering requirements of intensive green roofs. When comparing the conventional flat roof with the green roof, the conventional flat roof performs better in all impact categories under study, mainly due to the additional technical layers required for green roof construction. In all scenarios, the materials stage is the hotspot for all impact categories, except for freshwater and marine eutrophication for the green roof scenarios, where the end-of-life stage is the hotspot. Sensitivity analyses results indicate that the environmental impacts are not sensitive to the content of organic matter in the substrate. However, the end-of-life of the substrate layer materials has a great impact on the outcomes for some impact categories. The findings of this study suggest that improving waste management strategy may enhance the environmental performance of green roofs compared to conventional flat roofs. Future research should explore the multifaceted potential benefits of green roofs, addressing their social, economic, and environmental aspects, considering optimizing buildings' thermal performance and strengthening urban resilience under specific climatic and economic realities.

不考虑绿色空间的城市地区发展会增加城市对气候变化影响的脆弱性。为了应对这些挑战，欧盟推动了建筑与基于自然的解决方案（NBS）之间的整合。绿色屋顶是NBS的一种，已被确定为增强城市韧性的关键战略。尽管绿色屋顶被视为解决城市地区面临的环境挑战的一种环保策略，但关于绿色屋顶在其整个生命周期中对环境的潜在影响的证据仍然有限。本文通过从摇篮到坟墓的生命周期评估（LCA）方法，通过比较绿色屋顶和传统平顶的环境影响，解决了这一文献空白。基于1平方米屋顶40年使用寿命的功能单位，评估了五种方案：i)两个广泛的绿色屋顶，ii)两个密集的绿色屋顶，iii)一个传统的平屋顶。结果表明，粗放型屋顶的绿化效果优于集约型屋顶，这主要是由于集约型屋顶所具有的植被类型，因此，主要是由于集约型屋顶对材料和浇水的要求更高。当比较传统平屋顶和绿色屋顶时，传统平屋顶在研究的所有影响类别中表现更好，主要是由于绿色屋顶施工所需的额外技术层。在所有情景中，材料阶段是所有影响类别的热点，但绿色屋顶情景的淡水和海洋富营养化是热点，在这些情景中，生命终止阶段是热点。敏感性分析结果表明，环境影响对基质有机质含量不敏感。然而，衬底层材料的寿命终止对某些影响类别的结果有很大影响。本研究的结果表明，与传统的平屋顶相比，改进废物管理策略可能会提高绿色屋顶的环境性能。未来的研究应探索绿色屋顶的多方面潜在效益，解决其社会、经济和环境方面的问题，考虑在特定的气候和经济现实下优化建筑物的热性能和加强城市弹性。

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引用次数: 0

CO2 emissions mitigation potential from inter-provincial trade restructuring and technology diffusion in China: A multi-regional Leontief optimization method 中国省际贸易结构调整与技术扩散的CO2减排潜力——基于多区域Leontief优化方法

IF 11.2 1区社会学 Q1 ENVIRONMENTAL STUDIES

Environmental Impact Assessment Review

Pub Date : 2026-04-01 Epub Date: 2025-11-04 DOI: 10.1016/j.eiar.2025.108239

Yizhong Wang , Ye Hang , Qunwei Wang

A national unified market in China can promote inter-provincial trade restructuring and technology diffusion, which can contribute to CO₂ reduction. However, existing studies paid insufficient attention to quantifying the CO₂ emissions mitigation potential (CMP) of trade restructuring and technology diffusion. Therefore, this paper constructs a multi-regional Leontief input-output optimization model to accurately quantify the CMP. Further, this paper analyzes its composition from three perspectives: emission subject, driving factor, and industrial chain. The results indicate that the distribution of the CMP was uneven among emission subjects (regions and sectors) in China. Besides, due to the increasing demand for low-carbon products, the prevailing viewpoint that the more emissions, the greater the CMP, must be reconsidered. At the factor level, the CMP was concentrated on two technology-related factors. However, the CMP of trade restructuring was low, which may be related to the high degree of industrial regional agglomeration. The industrial chains associated with the construction sector, services sector, and equipment manufacturing sectors were the key to tapping the CMP. Moreover, the CMP distribution structures of various regions from the industrial chain perspective were converging, while those of various sectors were becoming increasingly different.

中国统一市场可以促进省际贸易结构调整和技术扩散，有利于二氧化碳减排。然而，现有研究对贸易结构调整和技术扩散的CO2减排潜力的量化重视不够。为此，本文构建了多区域Leontief投入产出优化模型，以准确量化CMP。并从排放主体、驱动因素和产业链三个方面分析了其构成。结果表明，中国碳排放总量在不同排放主体（地区和行业）间分布不均衡。此外，由于对低碳产品的需求不断增加，普遍认为排放越多，CMP越大的观点必须重新考虑。在因子水平上，CMP主要集中在两个与技术相关的因子上。然而，贸易结构调整的CMP较低，这可能与产业区域集聚程度较高有关。建设、服务业、装备制造业等相关产业链是撬动“一带一路”的关键。此外，从产业链角度看，各地区CMP分布结构趋同，而各部门CMP分布结构差异越来越大。

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引用次数: 0