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Developing an extreme weather exposure index for urban green infrastructure: A comparative indicator weighting approach applied to South Korea 开发城市绿色基础设施的极端天气暴露指数:一种适用于韩国的比较指标加权方法
IF 11.2 1区 社会学 Q1 ENVIRONMENTAL STUDIES Pub Date : 2025-11-05 DOI: 10.1016/j.eiar.2025.108250
Miguel Enrico Robles, Yugyeong Oh, Md Tashdedul Haque, Marvin John Uy, Cloie Chie Mueca, Lee-Hyung Kim
The occurrence of extreme weather phenomena is projected to intensify globally in the coming decades, particularly under future climate scenarios. As a result, the long-term resilience of urban green infrastructure (UGI) remains uncertain. Although several studies have attempted to quantify UGI vulnerability to climate change, exposure indicators beyond precipitation-related variables have often been overlooked, limiting the understanding of the full range of climatic stressors. To address this gap, an extreme weather exposure index development framework was established to support climate-resilient planning and environmental impact assessments. The framework was applied to two UGI types, permeable pavements and green roofs, across eight major cities in South Korea using three weighting methods. The Analytic Hierarchy Process (AHP) was used to reflect expert judgment, Principal Component Analysis (PCA) to identify co-varying environmental stressors, and entropy weighting to capture indicators with discriminatory power. Climate projections were obtained from CMIP6 models under the SSP1–2.6 and SSP5–8.5 scenarios and bias-corrected using quantile mapping. AHP emphasized temperature extremes, PCA highlighted multivariate contrasts such as heat wave and rainfall extremes, and entropy weighting prioritized unevenly distributed indicators such as cold wave days and heavy rainfall. Exposure levels varied by UGI type, city, and climate zone, with cities classified into humid continental (Dfa) and humid subtropical (Cfa) climate zones. A strong alignment was observed between AHP- and PCA-based indices (ρ = 0.74–0.93), indicating consistency between expert-informed and variance-driven approaches. Among the methods, AHP was found most reliable, making it the recommended basis for index construction. Meanwhile, the framework remains broadly applicable across planning contexts, offering a structured tool for assessing climate exposure and supporting resilient urban infrastructure under climatic uncertainties.
预计未来几十年全球极端天气现象的发生将加剧,特别是在未来气候情景下。因此,城市绿色基础设施(UGI)的长期韧性仍然不确定。虽然有几项研究试图量化UGI对气候变化的脆弱性,但除了降水相关变量之外的暴露指标往往被忽视,限制了对气候压力源的全面了解。为了弥补这一差距,建立了一个极端天气暴露指数开发框架,以支持气候适应型规划和环境影响评估。该框架应用于韩国八个主要城市的两种UGI类型,透水路面和绿色屋顶,使用三种加权方法。采用层次分析法(AHP)反映专家判断,采用主成分分析法(PCA)识别共变环境压力源,采用熵权法捕捉具有区别力的指标。气候预估由CMIP6模式在SSP1-2.6和SSP5-8.5情景下获得,并使用分位数作图进行偏差校正。AHP强调极端温度,PCA强调极端热浪和极端降雨等多元对比,熵权优先考虑寒潮日数和暴雨等分布不均匀的指标。暴露水平因UGI类型、城市和气候带而异,城市分为湿润大陆性(Dfa)和湿润亚热带(Cfa)气候带。在基于AHP和基于pca的指数之间观察到强烈的一致性(ρ = 0.74-0.93),表明专家知情和方差驱动方法之间的一致性。其中,层次分析法最可靠,可作为指标构建的推荐依据。同时,该框架仍然广泛适用于各种规划背景,为评估气候风险和支持气候不确定性下的弹性城市基础设施提供了结构化工具。
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引用次数: 0
Unveiling multiscale and nonlinear effects of land use change drivers through interpretable machine learning model: Insights from “Ecological-cost and Economic-benefit” trade-off perspective 通过可解释的机器学习模型揭示土地利用变化驱动因素的多尺度和非线性效应:来自“生态成本和经济效益”权衡视角的见解
IF 11.2 1区 社会学 Q1 ENVIRONMENTAL STUDIES Pub Date : 2025-11-05 DOI: 10.1016/j.eiar.2025.108254
Jian Lu , Xiaoyang Liu , Dayu Zhu , Sen Zhang
Amid rapid global urbanization, urban expansion has led to dynamic shifts between urban built-up land and ecological land. Nevertheless, few studies have investigated the interdependencies between ecosystem service value costs (ESVC) and land development economic profit (LDEP) resulting from land use changes. This study quantitatively assesses the spatial correlation characteristics between ESVC and LDEP. Then, an interpretable machine learning model combining XGBoost and SHAP was developed to examine the nonlinear effects of multidimensional influencing factors on these cost–benefit relationships across multiscales. The results reveal that high-value ESVC areas formed a ring around the central city, whereas high-value LDEP areas followed a concentric pattern radiating outward. The central urban zone predominantly exhibited a “low cost–high benefit” pattern, whereas suburban new towns were mainly characterized by a “low cost–low benefit” configuration. Grid clusters of “low-low” and “high-high” types were mainly located in the central zone, while “high-low” and “low-low” clusters were concentrated in peripheral suburban areas. Trade-off intensity was low in the central zone and high in suburban new towns. The influence of driving factors on cost–benefit relationships was nonlinear and varied across scales. Variables such as Shannon's diversity index (SHDI), Night light (NL), Building density (BD), Green space density (GD) had strong negative effects, while the Contagion index (Contag), and Distance to rural (Dis_Rur) and industrial (Dis_Ind) areas showed positive impacts. Threshold effects were observed for SHDI ([0.6–0.8]), NL ([15–25] nW/cm2/sr), GD ([5 %–15 %]), BD ([10 %–15 %]). Interactions among variables revealed both synergistic and antagonistic relationships. By integrating a multiscale analytical framework with interpretable machine learning, this study provides a novel methodological approach to understanding the trade-offs between environmental degradation and economic expansion. Our findings provide actionable insights for promoting sustainable urban land use, balancing development goals with ecological preservation, and guiding urban land-use planning strategies.
在全球快速城市化进程中,城市扩张导致了城市建设用地与生态用地之间的动态转换。然而,很少有研究对土地利用变化引起的生态系统服务价值成本(ESVC)与土地开发经济利润(LDEP)之间的相互依赖关系进行研究。本研究定量评价了ESVC与LDEP的空间相关特征。然后,结合XGBoost和SHAP开发了一个可解释的机器学习模型,以检验多维影响因素对这些多尺度成本效益关系的非线性影响。结果表明:高值ESVC区呈环状围绕中心城市,而高值LDEP区呈向外辐射的同心圆格局;中心城区以“低成本-高效益”格局为主,近郊新城以“低成本-低效益”格局为主。“低-低”和“高-高”型网格集群主要分布在中心区域,“高-低”和“低-低”型网格集群集中在外围郊区。交换强度在中心区较低,在城郊新市镇较高。驱动因素对成本效益关系的影响是非线性的,且在不同的尺度上存在差异。Shannon’s diversity index (SHDI)、Night light (NL)、Building density (BD)、Green space density (GD)等变量具有较强的负向影响,而Contagion index (Contag)、Distance to rural (Dis_Rur) and industrial (Dis_Ind) areas均具有正向影响。阈值效应观察SHDI([0.6 - -0.8])、问(nW(15 - 25) /厘米2 / sr), GD((5% - -15%))、双相障碍((10% - -15%))。变量间的相互作用既有协同关系,也有对抗关系。通过将多尺度分析框架与可解释的机器学习相结合,本研究为理解环境退化与经济扩张之间的权衡提供了一种新的方法方法。研究结果为促进城市土地可持续利用,平衡发展目标与生态保护,指导城市土地利用规划策略提供了可操作的见解。
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引用次数: 0
Does digital transformation enhance carbon reduction? New evidence from micro-enterprises and listed enterprises in China 数字化转型是否能促进碳减排?来自中国微型企业和上市企业的新证据
IF 11.2 1区 社会学 Q1 ENVIRONMENTAL STUDIES Pub Date : 2025-11-05 DOI: 10.1016/j.eiar.2025.108255
Liwei Tang , Shiqi Cao , Ke Li
Corporate actions are crucial for achieving net zero carbon emissions targets. By using Chinese listed companies' data and Micro Corporate Tax Surveys data from 2007 to 2016, we investigate the impact of digital transformation (DT) on carbon emissions. Our findings show that as DT increases, corporate carbon emissions decrease. The mechanism analysis reveals that DT can reduce carbon emissions through enterprise green innovation, cost reduction, and efficiency improvement. Heterogeneity analysis demonstrates that the carbon reduction effect of DT is strongest for upstream industries, manufacturing enterprises, central and western regions, and state-owned enterprises, and varies across the carbon-emission distribution. We bolster our core findings by rigorously addressing endogeneity. Further research indicates that cognitive inhibition related to environmental policy uncertainty (EPU) impedes the effect of DT on reducing corporate carbon emissions.
企业行动对于实现净零碳排放目标至关重要。本文利用2007 - 2016年中国上市公司数据和微企业税收调查数据,研究了数字化转型对碳排放的影响。我们的研究结果表明,随着DT的增加,企业碳排放量减少。机制分析表明,DT可以通过企业绿色创新、降低成本和提高效率来减少碳排放。异质性分析表明,产业创新对上游产业、制造业企业、中西部地区和国有企业的碳减排效果最强,且在不同的碳排放分布中存在差异。我们通过严格解决内生性问题来支持我们的核心发现。进一步研究表明,环境政策不确定性相关的认知抑制阻碍了环境政策对企业碳排放的影响。
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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 Pub 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
Reforming trade governance for sustainable resource flows: Ecologically unequal exchange in Pan-Eurasia 改革贸易治理促进可持续资源流动:泛欧大陆的生态不平等交换
IF 11.2 1区 社会学 Q1 ENVIRONMENTAL STUDIES Pub Date : 2025-11-03 DOI: 10.1016/j.eiar.2025.108247
Jiahui Li , Lin Huang , Jun Zhai , Shihao Wang
Growing global resource demand is intensifying ecological inequality. Our integrated biophysical and governance analysis of 65 Pan-Eurasian nations shows that by 2050, under a business-as-usual pathway, 90 % of ecological overload (measured by the ecological carrying index, ECI) will occur in lower-income, agriculture-dependent countries (ECI > 1.2). Burdens are highly uneven: the poorest 50 % of countries bear 70 % of the overload, while the richest 10 % account for only 5 %. Even under a sustainability-oriented pathway, aggregate ecological pressure falls by only ∼4 %, indicating persistent governance challenges. Our governance assessment highlights that Central/Eastern Europe generally maintains sustainable ecological levels (ECI < 1.2) under decentralized-but-coordinated arrangements, while parts of South Asia exhibit fragmented institutions associated with high stress (ECI > 2.0). To address these imbalances, we outline three institutional reforms: (1) artificial-intelligence-supported land-use planning coupled with World Trade Organization-compliant ecological tariffs, (2) payment for ecosystem service mechanisms targeted to high-ECI regions, and (3) mandatory due diligence for deforestation-linked imports. These measures provide an operational pathway for implementing equitable (“just”) planetary boundaries under the post-2020 Convention on Biological Diversity, advancing accountability and fairness in Earth System Governance.
全球资源需求的增长加剧了生态不平等。我们对65个泛欧亚国家的综合生物物理和治理分析表明,到2050年,在一切照旧的道路下,90%的生态超载(由生态承载指数ECI衡量)将发生在低收入、依赖农业的国家(ECI > 1.2)。负担极不平衡:最贫穷的50%的国家承担了70%的负担,而最富有的10%的国家只承担了5%。即使在以可持续发展为导向的道路下,总生态压力也只下降了4%,这表明治理挑战依然存在。我们的治理评估强调,在分散但协调的安排下,中欧/东欧总体上保持可持续的生态水平(ECI < 1.2),而南亚部分地区则表现出与高压力相关的支离破碎的制度(ECI < 2.0)。为了解决这些不平衡,我们概述了三项制度改革:(1)人工智能支持的土地利用规划与符合世界贸易组织标准的生态关税相结合;(2)针对高eci地区的生态系统服务机制的支付;(3)对与森林砍伐相关的进口进行强制性尽职调查。这些措施为在2020年后《生物多样性公约》下实施公平(“公正”)的地球边界提供了一条可操作的途径,促进了地球系统治理的问责制和公平性。
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引用次数: 0
Corrigendum to “Recovering carbon black from end-of-life tires: A consequential life cycle assessment” [Environmental Impact Assessment Review 115 (2025) 108044] “从报废轮胎中回收炭黑:相应的生命周期评估”的勘误表[环境影响评估检讨115 (2025)108044]
IF 11.2 1区 社会学 Q1 ENVIRONMENTAL STUDIES Pub Date : 2025-11-01 DOI: 10.1016/j.eiar.2025.108241
Andrei Briones-Hidrovo , Sebastião M.R. Costa , Cristiana Maganinho , Clara M.C. Silva , João Rocha , Ana Cláudia Dias , Inês Portugal , Carlos M. Silva
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引用次数: 0
Coastal squeeze and multi-scenario risk assessment in China, 1985–2024 1985-2024年中国沿海挤压与多情景风险评估
IF 11.2 1区 社会学 Q1 ENVIRONMENTAL STUDIES Pub Date : 2025-11-01 DOI: 10.1016/j.eiar.2025.108248
Yiming Liu, Hui Zeng
The ongoing spatial squeeze of coastal areas has substantially increased ecosystem risks by weakening their natural buffering and regulatory functions, thereby intensifying negative impacts on urban societies as well as terrestrial and marine ecosystems. However, owing to the scarcity of coastline data and the complexity of its extraction, current research on coastal squeeze remains fragmented at the national scale and often overlooks marine-related risks. This study aimed to assess the spatiotemporal dynamics of coastal squeeze by generating high-accuracy, low-intervention coastline datasets for mainland China at five-year intervals from 1985 to 2024 using the random forest method, and associated multi-scenario and multi-system risks based on the evolution patterns of coastal squeeze. The results indicate that China's coastline has generally advanced seaward, with noticeable erosion during periods of low coastal construction intensity, such as 1985–1990 and 2015–2024. Approximately half of the coastal area experienced a squeeze between 1985 and 1990, followed by a significant seaward expansion until 2015 and a slight squeeze from 2015 to 2024. Bilateral squeeze is widespread south of the Zhejiang–Fujian administrative boundary, whereas to the north, squeeze patterns and intensities are more heterogeneous. High-risk areas resulting from coastal space squeeze are concentrated in economically developed coastal cities. Marine ecosystems face the highest risk, followed by terrestrial ecosystems and social systems. The findings provide theoretical support for accurate coastline extraction and offer practical guidance for sustainable coastal area management, with implications for policy development, coastline planning, and ecosystem risk mitigation.
沿海地区持续的空间挤压通过削弱其自然缓冲和调节功能大大增加了生态系统风险,从而加剧了对城市社会以及陆地和海洋生态系统的负面影响。然而,由于海岸线数据的稀缺及其提取的复杂性,目前对沿海挤压的研究在国家范围内仍然是碎片化的,并且往往忽视了与海洋有关的风险。本研究利用随机森林方法生成1985 - 2024年中国大陆5年的高精度、低干预海岸线数据集,评估沿海挤压的时空动态,并基于沿海挤压的演变模式分析相关的多情景、多系统风险。结果表明:中国海岸线总体上向海推进,在1985-1990年和2015-2024年海岸建设强度较低的时期,海岸线侵蚀较为明显;大约一半的沿海地区在1985年至1990年期间经历了挤压,随后在2015年之前向海扩张,2015年至2024年略有挤压。双边挤压在浙闽行政边界以南普遍存在,而在浙闽行政边界以北,挤压模式和强度则更为异质性。沿海空间挤压导致的高风险地区集中在经济发达的沿海城市。海洋生态系统面临的风险最高,其次是陆地生态系统和社会系统。研究结果为海岸线的精确提取提供了理论支持,并为沿海地区的可持续管理提供了实践指导,对政策制定、海岸线规划和生态系统风险缓解具有重要意义。
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引用次数: 0
Evaluating environmental impacts and public preferences in offshore wind farm decommissioning 评估海上风电场退役的环境影响和公众偏好
IF 11.2 1区 社会学 Q1 ENVIRONMENTAL STUDIES Pub Date : 2025-10-31 DOI: 10.1016/j.eiar.2025.108253
Liv Stranddorf , Jacob Ladenburg , Agnes Rönnblom , Lena Landström , Stig Irving Olsen
The expansion of offshore wind energy presents new challenges as many wind farms approach the end of their operational lives and will need to be decommissioned. This study presents the first multi-criteria assessment of offshore wind farm decommissioning scenarios that brings together life cycle environmental impacts, local marine benthic biodiversity impacts, and public preferences. Using Horns Rev 1 – the oldest large-scale wind farm in the North Sea - as a case study, we analyze 16 decommissioning scenarios ranging from full removal of infrastructure to partial removal strategies in which parts of the foundation, scour protection, or cables are left in place. Environmental impacts are assessed through life cycle assessment, and local marine biodiversity impacts are quantified using a newly developed method tailored to North Sea habitats. Public preferences are analyzed based on a nationally representative Danish survey. Our findings show that removing high-value recyclable materials while leaving scour protection in place yields the lowest life cycle environmental impacts due to recycling benefits and avoided removal of components with low recycling value. In contrast, full removal receives the strongest public support and best aligns with restoration of the sandy seabed but also results in higher climate impacts. Biodiversity outcomes depend on the selected reference state and desired ecological function, with trade-offs between supporting native benthic communities and preserving artificial reef structures that support diverse communities. This study demonstrates the value of a multi-criteria approach to offshore wind decommissioning and provides a transferable framework supporting decision-making by integrating environmental, ecological, and societal dimensions.
随着许多风电场的使用寿命接近尾声,需要退役,海上风能的扩张带来了新的挑战。该研究首次提出了海上风电场退役方案的多标准评估,将生命周期环境影响、当地海洋底栖生物多样性影响和公众偏好结合在一起。以北海最古老的大型风电场Horns Rev 1为例,我们分析了16种退役方案,从完全拆除基础设施到部分拆除策略,其中部分基础,冲刷保护或电缆保留在原地。通过生命周期评估评估环境影响,并使用针对北海栖息地量身定制的新开发方法量化当地海洋生物多样性影响。公众偏好的分析基于一项具有全国代表性的丹麦调查。我们的研究结果表明,去除高价值的可回收材料,同时保留冲刷保护,由于回收效益,可以产生最低的生命周期环境影响,并避免去除低回收价值的组件。相比之下,完全清除得到了最强烈的公众支持,最符合沙质海底的恢复,但也会导致更大的气候影响。生物多样性的结果取决于所选择的参考状态和期望的生态功能,在支持原生底栖生物群落和保护支持多样化群落的人工珊瑚礁结构之间进行权衡。该研究展示了海上风电退役多标准方法的价值,并提供了一个可转移的框架,通过整合环境、生态和社会维度来支持决策。
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引用次数: 0
How urban sprawl patterns shape the thermal environment during hot summers: An empirical analysis of 338 Chinese cities 城市扩张模式如何塑造夏季热环境——基于338个中国城市的实证分析
IF 11.2 1区 社会学 Q1 ENVIRONMENTAL STUDIES Pub Date : 2025-10-31 DOI: 10.1016/j.eiar.2025.108251
Yifeng Ji , Zhitao Li , Ying Liu , Hongyu Tang , Hao Sun , Tao Feng
With accelerating global warming trends, urban sprawl has emerged as a key driver of thermal environment changes in urban areas. However, limited attention has been given to how sprawl patterns shape the thermal environment at the city level. This study sets out to reveal the heterogeneous relationship between the spatial patterns of urban sprawl and thermal environment by analyzing 338 Chinese cities during hot summers from 1990 to 2020. Multi-source data were employed to assess the spatial arrangement and temporal dynamics of four urban sprawl patterns (centering, clustering, fragmentation, and complexity) alongside thermal conditions. A geographically weighted regression model revealed spatially varying associations between sprawl patterns and thermal environment. Results indicate a northward gradient of thermal deterioration, with the most severe warming in Northeast and Northwest China, while some southern tropical cities exhibit localized cooling. Sprawl patterns vary across regions and exhibit dual heterogeneity in their thermal impacts. Fragmentation demonstrates cooling effects in the southeastern coast, eastern Northwest, and northeastern Southwest China. Clustering improves thermal conditions in the southeastern coast, Bohai Rim, and northeastern and northwestern China, but intensifies heat stress in the southwest. Complexity worsens the thermal environment in the Yangtze River Delta and the junction of eastern Northwest and northeastern Southwest China, while slightly mitigating the thermal environment in northern cities. Centering shows limited impact, with minor improvements observed in southeastern coastal cities. Based on these findings, seven optimization zones have been identified with tailored thermal-mitigation strategies, providing evidence to guide regionally adaptive planning for climate-resilient urban development.
随着全球变暖趋势的加速,城市扩张已成为城市地区热环境变化的关键驱动因素。然而,人们对城市扩张模式如何影响城市热环境的关注有限。本文通过对1990 - 2020年中国338个城市夏季热环境的分析,揭示了城市扩张空间格局与热环境的异质性关系。利用多源数据分析了城市扩张模式(集中、聚类、碎片化和复杂性)在热条件下的空间分布和时间动态。地理加权回归模型揭示了城市扩张模式与热环境之间的空间变化关系。结果表明,中国的气候变暖趋势呈北向梯度,东北和西北地区变暖最为严重,而南方一些热带城市则呈现局部变冷。城市蔓延模式在不同地区存在差异,其热影响表现出双重异质性。在东南沿海、西北东部和西南东北部,碎裂表现出降温效应。聚集性改善了东南沿海、环渤海地区、东北和西北地区的热条件,但加剧了西南地区的热应力。复杂性加剧了长三角和西北东部与西南东北部交界处的热环境,而北方城市的热环境则略有缓解。中心化的影响有限,东南沿海城市略有改善。基于这些发现,确定了七个优化区域,并制定了量身定制的热缓解策略,为指导气候适应型城市发展的区域适应性规划提供了证据。
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引用次数: 0
Environmental challenges in advanced treatment of high-salinity mine water: A life cycle assessment perspective 高矿化度矿井水深度处理的环境挑战:生命周期评价视角
IF 11.2 1区 社会学 Q1 ENVIRONMENTAL STUDIES Pub Date : 2025-10-31 DOI: 10.1016/j.eiar.2025.108249
Mengqing Li , Xianfeng Tan , Jianguo Fan , Hongnian Chen , Tianzuo Zhang , Changting Li , Shuo Wang , Jinglan Hong
The treatment of high-salinity mine water (HSMW) is essential to prevent salt dispersion and protect surrounding ecosystems. However, this process involves significant energy and resource consumption, and its potential environmental impacts have not been adequately and systematically quantified. To fill this gap, this study employed a life cycle assessment approach to quantify, compare, and analyze the environmental impacts of two commonly used HSMW treatment processes: a nanofiltration-based process (S-1) and an electrodialysis-based process (S-2). Key contributing processes and substances were subsequently identified. The results indicated that S-1 exhibited lower potential environmental impacts than S-2, particularly in the categories of carcinogens and mineral resource scarcity. Most environmental burdens were concentrated in the fossil resource scarcity category (midpoint level) and resource category (endpoint level), accounting for 49.8 % and 80.2 % of total impacts in S-1, and 35.6 % and 79.3 % in S-2, respectively. Coal, oil, and carbon dioxide emissions were the key contributing substances to the overall environmental impacts. Electricity generation, chemical production, and the direct discharge of treated water were identified as the major contributing processes. Accordingly, three recommendations are proposed to mitigate environmental impacts: promoting the transition from coal-based to renewable power generation, encouraging resource recovery and by-product generation, and implementing classified treatment and graded utilization of HSMW.
高盐矿井水的治理是防止盐扩散和保护周边生态系统的重要手段。然而,这一过程涉及大量的能源和资源消耗,其潜在的环境影响尚未得到充分和系统的量化。为了填补这一空白,本研究采用了生命周期评估方法来量化、比较和分析两种常用的HSMW处理工艺的环境影响:基于纳滤的工艺(S-1)和基于电渗析的工艺(S-2)。随后确定了主要的促进过程和物质。结果表明,S-1的潜在环境影响低于S-2,特别是在致癌物和矿产资源稀缺方面。大部分环境负担集中在化石资源稀缺类别(中点水平)和资源类别(终点水平),分别占S-1和S-2总影响的49.8%和80.2%和35.6%和79.3%。煤、石油和二氧化碳的排放是造成整体环境影响的主要物质。发电、化工生产和处理后的水的直接排放被确定为主要的贡献过程。在此基础上,提出了促进煤炭发电向可再生能源发电过渡、鼓励资源回收和副产品发电、实施水煤化废水分类处理和分级利用等三点建议,以减轻环境影响。
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Environmental Impact Assessment Review
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