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From global to domestic scales: Do changes in industrial divisions burden sub-national emission reduction? 从全球到国内:产业分工的变化会给地方减排带来负担吗?
IF 11.2 1区 社会学 Q1 ENVIRONMENTAL STUDIES Pub Date : 2026-04-01 Epub Date: 2025-12-03 DOI: 10.1016/j.eiar.2025.108280
Xinxin Yu , Mingdong Jiang , Guanyu Zhong
The complex international situation threatens global trade, emphasizing the role of domestic industrial divisions. However, whether the economic linkage changes brought by thriving domestic divisions burden emission reductions hasn't received enough attention, though it's vital for carbon neutrality. To fill this gap, we developed a novel analytical framework by constructing a Global-Chinese-provincial Nested Multi-regional Input-Output (NMRIO) table, enabling comprehensive analysis across global, regional, and sub-national scales. We attempted to determine whether domestic divisions would impose a greater burden on sub-national emission reduction and how they function compared to participation in global divisions. We found that provincial participation in domestic divisions showed an upward trend during the study periods. However, compared with global divisions, domestic industrial divisions demonstrate a stronger effect increasing carbon emissions. Such emission growth is primarily driven by production scale expansion and carbonization of sub-sector structures within aggregate industries. Technology-driven reduction in carbon emission intensity is critical to mitigating the rise in emissions under domestic divisions, particularly between provinces in western and central regions and eastern regions. Global regional analysis shows that divisions with EU and North American countries will increase the carbon emissions, while those with the One Belt and One Road have no significant emission effects. Moreover, in the global divisions, a higher proportion of vertical specialization helps mitigate carbon emissions in provinces, while in the domestic divisions, a more downstream position can more significantly alleviate the carbon emissions driven by divisions.
复杂的国际形势威胁到全球贸易,强调了国内产业分工的作用。然而,国内分化的蓬勃发展所带来的经济联动变化是否会给减排带来负担却没有得到足够的重视,尽管这对碳中和至关重要。为了填补这一空白,我们开发了一个新的分析框架,通过构建全球-中国省嵌套多区域投入产出(NMRIO)表,实现了全球、区域和次国家尺度的综合分析。我们试图确定国内分工是否会给地方减排带来更大的负担,以及与参与全球分工相比,国内分工是如何发挥作用的。我们发现,在研究期间,各省对国内区划的参与呈上升趋势。但与全球分工相比,国内产业分工对碳排放的增加作用更强。这种排放增长的主要驱动因素是生产规模的扩大和总体产业内部分部门结构的碳化。技术驱动的碳排放强度降低对于缓解国内区域内,特别是中西部省份与东部地区之间的排放上升至关重要。全球区域分析表明,与欧盟和北美国家的分裂会增加碳排放,而与一带一路国家的分裂没有显著的排放效应。此外,在全球分工中,垂直专业化比例越高,有助于缓解各省的碳排放,而在国内分工中,位置越下游,可以更显著地缓解分工驱动的碳排放。
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引用次数: 0
Rethinking aluminum metabolism under China's new “old-for-new” policy: characteristics and environmental implications 重新思考中国“以旧换新”政策下的铝代谢:特征和环境影响
IF 11.2 1区 社会学 Q1 ENVIRONMENTAL STUDIES Pub Date : 2026-04-01 Epub Date: 2026-01-09 DOI: 10.1016/j.eiar.2026.108332
Wei Liu , Xianlai Zeng
Aluminum is a non-ferrous metal leading in consumption, energy, and carbon intensity. China's first “old-for-new” policy, initiated in 2009, accelerated the production, consumption, and obsolescence of aluminum-containing products. In 2024, the Chinese government launched a larger-scale version of the “old-for-new” program. In this new context, this study integrated material flow analysis and field survey to measure China's aluminum metabolism from 2009 to 2050. The new findings reveal that policy-driven interventions could amplify recycling potential by 83.3 % (appliances) and 50 % (vehicles) compared to the baseline, with environmental gains closely linked to the combinations of policy intensity. Consumer participation rates and recycling technology efficiency emerge as critical bottlenecks—synergistic optimization yields multiplier effects. Uncertainty analysis reveals 28 % (appliance) and 26–50 % (vehicles) variability in emission reduction and energy saving forecasts, while air conditioners and new energy vehicles drive 49 % of recycled aluminum growth in 2050. This study identified the key drivers that influence recycling potential and its environmental impacts, providing crucial support for managerial decision-making and a robust theoretical underpinning for optimizing aluminum management and advancing circular economy policies.
铝是一种在消费、能源和碳强度方面领先的有色金属。2009年,中国首次实施“以旧换新”政策,加速了含铝产品的生产、消费和淘汰。2024年,中国政府启动了规模更大的“以旧换新”计划。在此背景下,本研究采用物质流分析和实地调查相结合的方法,对2009 - 2050年中国的铝代谢进行了测量。新的研究结果表明,与基线相比,政策驱动的干预措施可以将回收潜力(家电)和(车辆)分别扩大83.3%和50%,环境收益与政策强度的组合密切相关。消费者参与率和回收技术效率成为关键瓶颈——协同优化产生乘数效应。不确定性分析显示,在减排和节能预测方面,28%(家电)和26% - 50%(汽车)的可变性,而到2050年,空调和新能源汽车将推动49%的再生铝增长。本研究确定了影响回收潜力及其环境影响的关键驱动因素,为管理决策提供了重要支持,并为优化铝管理和推进循环经济政策提供了坚实的理论基础。
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引用次数: 0
Sustainable development of photovoltaic industry in China: An innovative multi-driver model 中国光伏产业可持续发展:一个创新的多驱动模式
IF 11.2 1区 社会学 Q1 ENVIRONMENTAL STUDIES Pub Date : 2026-04-01 Epub Date: 2025-12-22 DOI: 10.1016/j.eiar.2025.108314
Shijia Chong , Jing Wu , I-Shin Chang
To cope with the surging global energy demands and escalating environmental challenges, the sustainable development of the photovoltaic (PV) industry has become a pivotal solution for balancing energy security and ecological conservation. This study fills a critical gap in assessing China's PV industry sustainability by developing a context-adaptive multi-driver model, which systematically integrates economic, environmental, and resource dimensions and optimizes for China's regional heterogeneity and industrial constraints. The model incorporates core drivers (energy transition imperatives, technological advancements, economic incentives) and limiting factors (policy uncertainties, market competition pressures, land resource constraints) in the development of the PV industry to elucidate the multi-dimensional benefits, applying it to a provincial empirical analysis of sustainable potential. Findings reveal China's PV energy exhibits significant regional disparities, with economic costs ranging from 0.56 to 1.27CNY/kWh. A 1 kW PV plant generates annual environmental benefits of 37.24 to 655.19CNY, with developed regions demonstrating distinct carbon mitigation advantages. Land use benefits generally decline from southeast to northwest China. Employing the multi-driver evaluation model, the sustainability index (SI) of China's PV industry ranges from 0.09 to 0.83, with higher values in southeastern coastal regions compared to western inland areas. Thirty provinces are classified into three zones: Advantage Spearheading Zone, Potential Unleashing Zone, and Resource Unactivated Zone. Zone-specific strategies are proposed to promote the high-quality and sustainable development of the PV industry.
面对日益增长的全球能源需求和日益严峻的环境挑战,光伏产业的可持续发展已成为平衡能源安全和生态保护的关键解决方案。本研究通过构建一个环境自适应的多驱动模型,系统地整合了经济、环境和资源维度,并针对中国的区域异质性和产业约束进行了优化,填补了评估中国光伏产业可持续性的关键空白。该模型结合光伏产业发展的核心驱动因素(能源转型要求、技术进步、经济激励)和限制因素(政策不确定性、市场竞争压力、土地资源约束),阐明了光伏产业发展的多维效益,并将其应用于省级可持续潜力实证分析。研究结果显示,中国光伏能源存在显著的地区差异,经济成本在0.56至1.27元/千瓦时之间。1 kW光伏电站年环境效益为37.24 ~ 655.19元人民币,发达地区碳减排优势明显。土地利用效益总体上由东南向西北递减。采用多驱动因素评价模型,中国光伏产业可持续发展指数(SI)在0.09 ~ 0.83之间,东南沿海地区高于西部内陆地区。30个省份被划分为优势先行区、潜力释放区和资源未激活区。提出了促进光伏产业高质量可持续发展的区域战略。
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引用次数: 0
Nudge waste out: Understanding the impacts of green nudges on on-site construction waste management based on metaverse serious game 轻推废物:了解绿色轻推对现场建筑废物管理的影响
IF 11.2 1区 社会学 Q1 ENVIRONMENTAL STUDIES Pub Date : 2026-04-01 Epub Date: 2025-12-04 DOI: 10.1016/j.eiar.2025.108293
Yaoliang Zhuang , Weisheng Lu , Ziyu Peng , Zhikang Bao , Liang Yuan , Yichen Yin
Nudge theory proposes that subtle changes in choice presentation can have a profound influence on people's decisions and behaviors. Grounded in this theory, researchers and practitioners started to design and implement ‘green nudges’ that can alter workers' behavior in conducting on-site construction waste management (CWM). However, how exactly such nudges can be designed and implemented remains unclear. This paper explores ‘green nudges’ that can be deployed to boost CWM on site. Instead of developing physical nudges and implementing them, this research adopts the metaverse serious games. Firstly, several green nudge options were developed based on the literature and CWM practices. Their on-site implementations were simulated in metaverse serious games. Next, seventy participants with construction site management experience were randomly assigned to either an experimental group (exposed to green nudges) or a control group (operating under conventional conditions). The Mann-Whitney U tests and XGBoost-based SHAP analyses were conducted to compare the results between the two groups. It is discovered that participants who were exposed to green nudges, such as ‘moral suasion’, ‘simplification’, and ‘social comparison’ with timely feedback, showed improved performance in ‘participation count’, ‘waste collection rate’, and ‘sorting accuracy’ in CWM. Moreover, attitudes, perceived convenience, and emotion were found to significantly influence CWM performance. Waste managers should consciously tap into these green nudges to improve these aspects and ultimately achieve improved CWM performance.
助推理论认为,选择呈现的细微变化会对人们的决策和行为产生深远的影响。基于这一理论,研究人员和实践者开始设计和实施“绿色推动”,以改变工人在现场建筑垃圾管理(CWM)中的行为。然而,这种推动究竟如何设计和实施仍不清楚。本文探讨了可以部署的“绿色推动”,以促进现场的CWM。本研究采用了虚拟严肃游戏,而不是开发和执行物理推动。首先,在文献和CWM实践的基础上,提出了几种绿色推动方案。在虚拟世界严肃游戏中模拟了他们的现场实施。接下来,70名有建筑工地管理经验的参与者被随机分配到实验组(接触绿色轻推)和对照组(在常规条件下操作)。采用Mann-Whitney U检验和基于xgboost的SHAP分析来比较两组之间的结果。研究发现,在“道德劝说”、“简化”、“社会比较”等及时反馈的绿色推动下,参与者在CWM中的“参与次数”、“废物收集率”和“分类准确性”方面的表现有所提高。此外,态度、感知便利和情绪显著影响CWM绩效。废物管理人员应有意识地利用这些绿色推动来改善这些方面,并最终实现改善CWM的性能。
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引用次数: 0
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 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 (PM2.5) poses significant health and economic burdens, particularly in developing regions, such as Southeast Asia. This study assesses the health impacts and economic costs of PM2.5 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 PM2.5 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。
{"title":"Assessing policies for health impact and cost reduction from PM2.5 formation","authors":"Maywalin Jumsai Na Ayudhya ,&nbsp;Shabbir H. Gheewala ,&nbsp;Vladimir Strezov ,&nbsp;Jitti Mungkalasiri ,&nbsp;Sirima Panyametheekul ,&nbsp;Ekbordin Winijkul ,&nbsp;Trakarn Prapaspongsa","doi":"10.1016/j.eiar.2025.108265","DOIUrl":"10.1016/j.eiar.2025.108265","url":null,"abstract":"<div><div>Fine particulate matter (PM<sub>2.5</sub>) 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<sub>2.5</sub> 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 <em>E</em>-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<sub>2.5</sub> 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.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"118 ","pages":"Article 108265"},"PeriodicalIF":11.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145680835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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 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 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 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
Innovative safety framework and direct load–settlement method to optimize vertical subgrade modulus in sustainable mat foundations 创新安全框架和直接荷载沉降法优化可持续垫基垂直路基模量
IF 11.2 1区 社会学 Q1 ENVIRONMENTAL STUDIES Pub Date : 2026-04-01 Epub Date: 2025-11-25 DOI: 10.1016/j.eiar.2025.108191
Antonio J. Sánchez-Garrido , José F. Moreno-Serrano , Ignacio J. Navarro , Víctor Yepes
This work presents a rigorously formulated methodology for directly estimating the vertical subgrade modulus (Ks) in slab foundations, overcoming key deficiencies of conventional indirect and semi-direct approaches. The model integrates elastic half-space theory with multilayer settlement analysis and oedometer-based consolidation mechanics, explicitly incorporating depth of influence and load compensation effects—parameters typically excluded from standard practice. The proposed formulation yields a Ks value of 5.30 MN/m3, closely matching the harmonic mean of established upper (17.82 MN/m3) and lower (2.91 MN/m3) bounds, thereby producing a modulus consistent with elastic energy principles and mechanistically grounded, suitable for advanced soil–structure interaction modeling. A new, application-specific safety coefficient for Ks is introduced, offering a calibrated metric for reliability-based foundation design under spatially variable subsurface conditions. The study implements a life-cycle sustainability assessment across three reinforced concrete slab foundation alternatives, utilizing a hybrid neutrosophic analytic hierarchy process (NAHP-G) in conjunction with the ELECTRE IS multi-criteria decision method. This framework enables integrated evaluation across structural, environmental, and socio-economic dimensions. Results indicate a 2.5-fold enhancement in the social safety index and a 50 % relative improvement in sustainability performance compared with baseline methodologies. The outcomes delineate a unified analytical and decision-making framework for subgrade characterization and foundation optimization, advancing the state of practice in geotechnical design and sustainability integration.
这项工作提出了一种严格制定的方法,用于直接估计平板基础中的垂直路基模量(Ks),克服了传统间接和半直接方法的主要缺陷。该模型将弹性半空间理论与多层沉降分析和基于深度计的固结力学相结合,明确地纳入了影响深度和荷载补偿效应——这些参数通常不包括在标准实践中。该公式的Ks值为5.30 MN/m3,与建立的上限(17.82 MN/m3)和下限(2.91 MN/m3)的调和平均值非常接近,从而产生符合弹性能原理且力学接地的模量,适合高级土-结构相互作用建模。为Ks引入了一种新的、特定于应用的安全系数,为空间可变地下条件下基于可靠性的基础设计提供了校准指标。该研究利用混合中性层次分析法(NAHP-G)和ELECTRE IS多标准决策方法,对三种钢筋混凝土板基础方案进行了生命周期可持续性评估。该框架能够在结构、环境和社会经济方面进行综合评价。结果表明,与基线方法相比,社会安全指数提高了2.5倍,可持续性绩效相对提高了50%。研究结果为路基表征和基础优化提供了统一的分析和决策框架,推动了岩土工程设计和可持续性整合的实践状态。
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引用次数: 0
Integrating land degradation states and trends to identify priority areas for ecological restoration in China's drylands 结合土地退化状况和趋势,确定中国旱地生态恢复优先区域
IF 11.2 1区 社会学 Q1 ENVIRONMENTAL STUDIES Pub Date : 2026-04-01 Epub Date: 2025-11-24 DOI: 10.1016/j.eiar.2025.108269
Yi Han , Wenwu Zhao , Paulo Pereira
Land degradation is a global ecological and environmental issue to which the drylands with vulnerable socio-ecological systems are particularly sensitive. Ecological restoration is regarded as a vital approach to halt, curb or reverse land degradation. However, the lack of accurate information on land degradation dynamics poses a significant barrier to developing effective restoration strategies. Here, we selected fourteen typical land degradation processes in China's drylands, employed a generalised additive model to identify degradation thresholds and classify degradation states, and analysed degradation trends using the Theil-Sen slope statistic and Mann-Kendall test. We then applied the convergence of evidence method to conduct a comprehensive, multidimensional assessment coupling degradation states and trends, ultimately identifying priority areas for ecological restoration. The results showed that aridification, loss of soil organic carbon, and soil alkalisation are the most widespread forms of land degradation facing China's drylands. 70.33 % of the area is affected by 1 to 7 types of land degradation (mildly degraded state), 25.63 % is affected by 8 to 14 types (severely degraded state), and 4.04 % shows no signs of degradation (non-degraded state). While land degradation across all three states generally exhibits a stable trend, mildly degraded areas showed signs of improvement, whereas severely degraded areas remain at risk of further degradation. Based on the states and trends of land degradation, China's drylands can be categorised into restoration-priority areas (6.79 %), conservation-priority areas (11.74 %), and management-priority areas (81.47 %), each with distinct focus and intervention needs. This study can help decision-makers understand the dynamics of land degradation and develop priority strategies for ecological restoration.
土地退化是一个全球性的生态环境问题,具有脆弱社会生态系统的旱地对其尤为敏感。生态恢复被认为是停止、抑制或逆转土地退化的重要途径。然而,缺乏关于土地退化动态的准确信息对制定有效的恢复战略构成了重大障碍。本文选取了中国旱地14个典型土地退化过程,采用广义加性模型识别退化阈值和退化状态,并利用Theil-Sen斜率统计量和Mann-Kendall检验分析退化趋势。应用证据收敛法对退化状态和趋势进行了综合、多维度评价,最终确定了生态恢复的优先区域。结果表明,干旱化、土壤有机碳流失和土壤碱化是中国旱地面临的最普遍的土地退化形式。70.33%的区域存在1 ~ 7种类型的土地退化(轻度退化),25.63%的区域存在8 ~ 14种类型的土地退化(严重退化),4.04%的区域没有退化迹象(非退化)。虽然这三个国家的土地退化总体上呈现稳定趋势,但轻度退化地区出现了改善迹象,而严重退化地区仍有进一步退化的风险。根据土地退化的现状和趋势,中国旱地可分为恢复优先区(6.79%)、保护优先区(11.74%)和管理优先区(81.47%),每个区域都有不同的重点和干预需求。该研究可以帮助决策者了解土地退化的动态,并制定生态恢复的优先策略。
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Environmental Impact Assessment Review
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