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Is full depth reclamation always a sustainable alternative to traditional reconstruction? Context dependent shifts in making sustainable rehabilitation choice 全深度填海是否总是传统重建的可持续选择?环境依赖的转变,作出可持续的康复选择
IF 11.2 1区 社会学 Q1 ENVIRONMENTAL STUDIES Pub Date : 2025-12-18 DOI: 10.1016/j.eiar.2025.108304
Abhishek Thakur, Prabin Kumar Ashish, Debabrota Das, Sudhir Misra
Owing to the use of existing bituminous pavement materials, Full Depth Reclamation (FDR) is generally perceived as a cost effective and environmental friendly rehabilitation option over the Traditional Reconstruction (TR) approach. However, variability in certain context specific factors across rehabilitation sites may influence the relative cost and environmental impacts of these techniques, potentially altering the preferred rehabilitation alternative. This study explores such aspects in detail using data collected from low volume roads in India, together with evidence from prior research. Specifically, the influence of four major factors (design traffic, transportation distances of construction materials/waste, cement content for FDR, and service life of FDR) was investigated. The cost was calculated using standard analysis of rates, and environmental impacts were evaluated through life cycle assessment. An uncertainty analysis was also performed to understand the influence of variability in key parameters on environmental impacts. The results indicate that variations in any of the above mentioned factors hold the ability to influence FDR and TR to varying extents, leading to significant changes in their relative cost and environmental impacts, which in certain cases can even shift the preferred rehabilitation alternative. For instance, with 25 % change in transportation distances, the average changes in cost, Embodied Energy (EE), Global Warming Potential (GWP), Ozone Depletion Potential (ODP), Acidification Potential (AP), Eutrophication Potential (EP), and Photochemical Ozone Creation Potential (POCP) for TR were 11.6 %, 6.8 %, 11.9 %, 18.8 %, 12.1 %, 14.7 %, and 6.1 %, respectively, which were significantly higher than the corresponding variations for FDR (2.2 %, 0.9 %, 1.6 %, 9.2 %, 3.4 %, 4.5 %, and 1.3 %). Within the scope of this study, shifts in the preferred rehabilitation alternative were observed predominantly with respect to EE and GWP. From cost, ODP, AP, EP, and POCP perspectives, FDR generally remained the favourable option. However, in a few scenarios, TR was found to be preferable as well. These findings suggest that highway agencies should undertake region specific analyses to identify the conditions under which FDR is preferable within their jurisdictions, and when TR may be more appropriate.
由于使用现有的沥青路面材料,全面深度填海通常被认为是比传统重建方法更具成本效益和环保的修复选择。然而,不同康复地点的特定环境因素的可变性可能会影响这些技术的相对成本和环境影响,潜在地改变首选的康复方案。本研究使用从印度低流量道路收集的数据以及先前研究的证据,详细探讨了这些方面。具体而言,研究了四个主要因素(设计交通、建筑材料/废物运输距离、FDR的水泥含量和FDR的使用寿命)的影响。使用标准费率分析计算成本,并通过生命周期评估评估环境影响。还进行了不确定性分析,以了解关键参数的变异性对环境影响的影响。结果表明,上述任何因素的变化都有可能在不同程度上影响FDR和TR,导致其相对成本和环境影响的显著变化,在某些情况下甚至可能改变首选的修复方案。例如,25%的运输距离的变化,平均成本的变化,体现了能源(EE),全球变暖潜力(GWP),臭氧损耗潜在(ODP)酸化潜力(美联社),(EP),潜在富营养化和光化学臭氧创造潜在的TR (POCP)分别为11.6%,6.8%,11.9%,18.8%,12.1%,14.7%,和6.1%,分别为罗斯福均明显高于相应的变化(2.2%,0.9%,1.6%,9.2%,3.4%,4.5%,和1.3%)。在本研究范围内,观察到首选康复方案的变化主要与情感表达和GWP有关。从成本、ODP、AP、EP和POCP的角度来看,FDR通常仍然是有利的选择。然而,在一些情况下,发现TR也更可取。这些发现表明,公路机构应该进行区域具体分析,以确定在其管辖范围内FDR更可取的条件,以及TR可能更合适的情况。
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引用次数: 0
An explainable machine learning approach (SHAP) to assessing desertification risk and its drivers in the Ring-Tarim Basin, 1990–2020 1990-2020年环塔里木盆地沙漠化风险及其驱动因素的可解释机器学习方法(SHAP
IF 11.2 1区 社会学 Q1 ENVIRONMENTAL STUDIES Pub Date : 2025-12-17 DOI: 10.1016/j.eiar.2025.108309
Lei Xi , Zhao Qi , Yiming Feng , Xiaoming Cao , Jiaxiu Zou , Jie Han
Desertification presents a significant regional threat to global ecosystems and human well-being, particularly in fragile arid zones like the Ring-Tarim Basin. Accurate risk assessment and identification of driving mechanisms are critical for promoting sustainable development in these regions. This study develops an explainable machine learning framework integrating ensemble models (XGBoost and CatBoost) with Shapley Additive exPlanations (SHAP) to assess desertification risk dynamics and their drivers from 1990 to 2020. The framework quantifies the spatiotemporal evolution of a Composite Evaluation Index (CEI) for desertification risk and reveals its key influencing factors. Results show that the overall desertification risk in the Ring-Tarim Basin is low, with high- and very-high-risk areas concentrated along oasis margins, lower river reaches, and zones of intense human activity. Temporally, the CEI exhibits a trend of rapid early improvement followed by stabilization (overall slope = −0.0024/yr−5, R2 = 0.6077). The ensemble models achieved high predictive accuracy (R2 > 0.98), effectively capturing the complex nonlinear characteristics of desertification processes. SHAP-based interpretation indicates that land use type is the dominant factor shaping spatial patterns of risk, while cropland expansion, increased livestock density, and vegetation cover changes—reflecting human activity—emerge as persistent and influential drivers. Spatiotemporal analysis of the CEI centroid reveals that the migration of high-risk zones is primarily driven by heterogeneous human impacts in ecologically vulnerable areas, rather than by uniform macro-climatic changes. These findings offer data-driven insights into the mechanisms underlying desertification in the Ring-Tarim Basin and demonstrate the value of interpretable AI in supporting sustainable land management in arid regions globally.
荒漠化对全球生态系统和人类福祉构成了重大的区域性威胁,特别是在环塔里木盆地这样脆弱的干旱地区。准确的风险评估和确定驱动机制对于促进这些区域的可持续发展至关重要。本研究将集成模型(XGBoost和CatBoost)与Shapley加性解释(SHAP)相结合,建立了一个可解释的机器学习框架,以评估1990 - 2020年荒漠化风险动态及其驱动因素。该框架量化了沙漠化风险综合评价指数(CEI)的时空演变,揭示了其主要影响因素。结果表明:环塔里木盆地沙漠化风险总体较低,高风险区和极高风险区主要集中在绿洲边缘、河流下游和人类活动密集区;在时间上,CEI表现出早期快速改善后稳定的趋势(总斜率= - 0.0024/yr - 5, R2 = 0.6077)。集成模型具有较高的预测精度(R2 > 0.98),有效地捕捉了沙漠化过程的复杂非线性特征。基于shap的解释表明,土地利用类型是影响风险空间格局的主要因素,而耕地扩张、牲畜密度增加和植被覆盖变化(反映人类活动)是持续和有影响的驱动因素。CEI质心的时空分析表明,高发区的迁移主要是由生态脆弱区人类活动的异质性驱动,而不是由统一的宏观气候变化驱动。这些发现为环塔里木盆地荒漠化机制提供了数据驱动的见解,并证明了可解释人工智能在支持全球干旱区可持续土地管理方面的价值。
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引用次数: 0
Nonlinear relationships between deer harvests, agriculture, and deer-vehicle collisions 鹿收成、农业和鹿与车辆碰撞之间的非线性关系
IF 11.2 1区 社会学 Q1 ENVIRONMENTAL STUDIES Pub Date : 2025-12-13 DOI: 10.1016/j.eiar.2025.108306
Mark E. Bell , David S. Mason , Kenneth F. Kellner , Jacob E. Hill , Chad Stewart , Jerrold L. Belant
Overabundant white-tailed deer (Odocoileus virginianus) cause considerable ecosystem damage, economic losses, and increased risk to human safety. More than one million deer-vehicle collisions (DVCs) occur annually in the United States, causing about 440 human deaths and over $10 billion in damages. We modeled the effects of agricultural land cover and deer harvest on county-level DVCs in the Lower Peninsula of Michigan, USA, 2012–2023. Predicted DVC rates in response to percentage agriculture followed a U-shaped pattern, with lowest DVC rates at 11 % agricultural land use and higher rates at minimum and maximum percentages of agriculture. Predicted DVC rates increased with an increase in deer harvest at low harvests, then remained constant after harvest exceeded about 6 deer per km2. Results suggest that harvests exceeding 6 deer per km2 in counties with highest DVC rates will likely have the greatest potential for reductions in DVCs. Targeting rural counties and agriculture areas with additional mitigation efforts may further reduce DVC rates.
白尾鹿(Odocoileus virginianus)数量过多会造成相当大的生态系统破坏、经济损失和人类安全风险。美国每年发生100多万起鹿车相撞事故,造成约440人死亡,经济损失超过100亿美元。本文模拟了2012-2023年美国密歇根州下半岛农业土地覆盖和鹿收获对县级DVCs的影响。根据农业比例预测的DVC率呈u型模式,在农业用地占比为11%时,DVC率最低,在农业用地占比最小和最大时,DVC率较高。预测DVC率在低收获期随鹿收获量的增加而增加,在收获量超过6头/ km2后保持不变。结果表明,在DVC率最高的县,每平方公里超过6头鹿的收获量可能具有最大的DVC减少潜力。以农村县和农业区为目标,加大缓解力度,可进一步降低DVC率。
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引用次数: 0
A dual-workflow framework for evaluating pulp and paper industry impacts on nature 评价纸浆和造纸工业对自然影响的双工作流框架
IF 11.2 1区 社会学 Q1 ENVIRONMENTAL STUDIES Pub Date : 2025-12-12 DOI: 10.1016/j.eiar.2025.108307
Yoselin Oropeza Abregú, Hassan Aftab Sheikh
The pulp and paper industry contributes to nature loss through multiple drivers across its value chain. Life Cycle Assessments (LCAs) have supported efforts to identify and quantify impacts on nature. However, such assessments vary in their scope on the stage of the value chain, units of analysis, and methodological approaches and also lack spatial resolution needed for decision-making. In this paper, we introduce a dual-workflow framework that links drivers of nature loss based on LCA metrics with state of nature indicators derived from geospatial data. We propose this framework as a tool for rapid high-level assessments. Applying this to Indonesia, we find that upstream plantation activities are the dominant source of impacts, driving high global warming potential, particulate emissions, and resource depletion, and affecting over 1700 km2 of peatlands and 560 km2 of Key Biodiversity Areas. Spatial analysis shows significantly greater biodiversity and connectivity losses at the upstream stage than at pulp mill sites (p < 0.05). Together, these workflows provide complementary insights: activity-based metrics identify pressure points, while spatial indicators reveal where ecological integrity is most at risk. The approach enables rapid, high-level assessments that can guide corporate actions and align with emerging disclosure frameworks such as the TNFD, CSRD, and SBTi.
纸浆和造纸行业通过其价值链中的多个驱动因素造成自然损失。生命周期评估(lca)为确定和量化对自然的影响提供了支持。然而,这些评估在价值链阶段的范围、分析单元和方法方法上各不相同,也缺乏决策所需的空间分辨率。在本文中,我们引入了一个双工作流框架,将基于LCA度量的自然损失驱动因素与来自地理空间数据的自然状态指标联系起来。我们建议将这一框架作为快速高级别评估的工具。将此应用于印度尼西亚,我们发现上游人工林活动是影响的主要来源,导致高全球变暖潜势、颗粒物排放和资源枯竭,并影响超过1700平方公里的泥炭地和560平方公里的重点生物多样性区。空间分析表明,上游阶段的生物多样性和连通性损失显著大于纸浆厂场地(p < 0.05)。总之,这些工作流程提供了互补的见解:基于活动的指标确定压力点,而空间指标揭示生态完整性面临最大风险的地方。该方法实现了快速、高水平的评估,可以指导企业行动,并与TNFD、CSRD和SBTi等新兴披露框架保持一致。
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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 : 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
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 : 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
Seeing heritage through green and blue: Assessing the visual influence of blue-Green infrastructure (BGI) in historic urban areas (HUAs) 绿蓝透视遗产:历史城区蓝绿基础设施(BGI)的视觉影响评估
IF 11.2 1区 社会学 Q1 ENVIRONMENTAL STUDIES Pub Date : 2025-12-10 DOI: 10.1016/j.eiar.2025.108301
Yuyang Peng , Wen Li , Steffen Nijhuis , Yingwen Yu , Zaichen Wu
Historic urban areas (HUAs) are visually and culturally sensitive environments where blue-green infrastructure (BGI) plays an increasingly important role in shaping spatial identity and environmental quality. While BGI's ecological functions are well documented, its influence on human visual perception, particularly within HUAs, remains largely unexplored. Addressing this gap, this paper proposes an integrative framework to assess how BGI affects visual experiences in heritage contexts, bridging methodological, perceptual, and user-group dimensions. By combining UAV-based photogrammetry with a three-layered perception model, the research integrates spatial analysis and empirical methods across seeing (eye-tracking), feeling (questionnaire), and understanding (interviews) layers. Street-level BGI exposure was spatially quantified and used to inform perception experiments involving both expert and general public groups. This multi-methodological, multi-layered, cross-group approach extends existing research by providing a comprehensive examination of BGI's visual impact at different cognitive levels, particularly within historic settings. Findings reveal that BGI enhances perceptual diversity, visual preference evaluation, and cognitive engagement across both groups. Although it may slightly divert attention from dominant heritage features, BGI fosters broader visual exploration and higher environmental ratings. Experts interpret BGI through more systemic and functional perspectives, while the public emphasizes emotional, aesthetic, and recreational values. Overall, this study presents a replicable framework integrating digital spatial modeling with layered perception analysis, offering new insights for evaluating and enhancing visual environments in HUAs. It supports more inclusive visual assessments and provides a basis for informed planning and selective design interventions in heritage contexts.
历史城区(HUAs)是视觉和文化敏感的环境,蓝绿基础设施(BGI)在塑造空间特征和环境质量方面发挥着越来越重要的作用。虽然华大基因的生态功能已被充分证明,但其对人类视觉感知的影响,特别是在hua内,仍未得到充分研究。针对这一差距,本文提出了一个综合框架来评估华大基因如何影响遗产背景下的视觉体验,并在方法、感知和用户群体维度之间架起桥梁。本研究将基于无人机的摄影测量与三层感知模型相结合,将视觉(眼动)层、感觉(问卷调查)层和理解(访谈)层的空间分析与实证方法相结合。对街道上的华大基因暴露进行了空间量化,并用于专家和普通公众群体的感知实验。这种多方法、多层次、跨群体的方法扩展了现有的研究,提供了对华大基因在不同认知水平上的视觉影响的全面检查,特别是在历史背景下。研究结果表明,华大基因增强了两组的感知多样性、视觉偏好评估和认知参与。虽然它可能会稍微转移人们对主要遗产特征的注意力,但华大基因促进了更广泛的视觉探索和更高的环境评级。专家们更多地从系统和功能的角度来解读华大基因,而公众则强调情感、审美和娱乐价值。总体而言,本研究提出了一个可复制的框架,将数字空间建模与分层感知分析相结合,为评估和增强HUAs的视觉环境提供了新的见解。它支持更具包容性的视觉评估,并为遗产环境中的知情规划和选择性设计干预提供基础。
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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 : 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
Life beyond the checklist: Revitalizing the potential of environmental impact assessments through co-creation 清单之外的生活:通过共同创造重振环境影响评估的潜力
IF 11.2 1区 社会学 Q1 ENVIRONMENTAL STUDIES Pub Date : 2025-12-09 DOI: 10.1016/j.eiar.2025.108219
Daniele Brombal , Marc Foggin , Kelli Rose Pearson , Daniela Del Bene , Mengmeng Cui , Angela Moriggi , Ali Razmkhah , Anna Lora Wainwright , Catrin Peterson , Shekhar Kolipaka , Angela Tritto , Julius Owiti , Beatrice Okyere-Manu
Large infrastructure projects pose substantial and frequently irreversible threats to biological and cultural diversity. These projects predominantly rely on one-size-fits-all solutions, informed by extractive paradigms that endanger the vitality of social-ecological systems. This tendency towards monotone solutions is epitomised by Environmental Impact Assessments (EIAs). In principle, EIAs should provide the opportunity for fair, accurate, and open-ended evaluation of projects; instead, they are often used instrumentally to facilitate the implementation of decisions already made elsewhere. Building on debates on the integration of social and cultural aspects in EIA, our work seeks to address three core flaws found in conventional EIAs: (1) an inherent bias favoring development projects; (2) an anthropocentric, short-sighted vision of sustainability; and (3) a lack of meaningful participation by affected human communities. In this paper, we introduce the outcomes of a transdisciplinary retreat where academics, practitioners, and activists designed and tested a Co-Creative Relational Impact Assessment Process (CoRIAP), drawing on two archetypal cases in Kenya and Laos. CoRIAP includes: (a) process-oriented components, aimed at transforming EIA from a routine checklist to a purposeful, inclusive, and open-ended procedure; and (b) measurement-oriented components, aimed at providing a framework for identifying relational criteria that are key to the well-being of humans and broader ecosystems, including ethics, emotions, aesthetics, and alternative ways of knowing. This novel protocol complements and broadens existing EIA practice, while providing communities with a tool for self-strengthening and reflection. On a higher level, our work contributes to refining the theoretical basis for integrating social and cultural elements into EIA practice.
大型基础设施项目对生物和文化多样性构成重大且往往不可逆转的威胁。这些项目主要依赖于一刀切的解决方案,以危及社会生态系统活力的采掘模式为依据。这种倾向于单调的解决方案是环境影响评估(eia)的缩影。原则上,环评应提供对项目进行公平、准确和开放式评价的机会;相反,它们往往被用来促进执行其他地方已经作出的决定。基于对环境影响评估中社会和文化因素整合的讨论,我们的工作旨在解决传统环境影响评估中存在的三个核心缺陷:(1)对开发项目的固有偏见;(2)以人类为中心的短视可持续性;(3)受影响的人类社区缺乏有意义的参与。在本文中,我们介绍了跨学科静修的结果,其中学者,从业者和活动家设计并测试了共同创造关系影响评估过程(CoRIAP),借鉴了肯尼亚和老挝的两个原型案例。CoRIAP包括:(a)面向过程的组件,旨在将环境影响评估从例行检查表转变为有目的、包容和开放式的程序;(b)以测量为导向的组件,旨在提供一个框架,用于识别对人类福祉和更广泛的生态系统至关重要的关系标准,包括伦理、情感、美学和其他认识方式。这一新的协议补充和扩大了现有的环境影响评估实践,同时为社区提供了自我加强和反思的工具。在更高层次上,我们的工作有助于完善将社会文化因素融入环境影响评价实践的理论基础。
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引用次数: 0
Quantifying concrete recarbonation potential: A life cycle approach to carbon uptake 量化具体的再碳化潜力:碳吸收的生命周期方法
IF 11.2 1区 社会学 Q1 ENVIRONMENTAL STUDIES Pub Date : 2025-12-06 DOI: 10.1016/j.eiar.2025.108300
Yulin Patrisia , David W. Law , Jingxuan Zhang
Concrete production is a major source of carbon emissions, but carbonation of concrete throughout its life is also a natural process that results in the sequestration of atmospheric CO₂ into the concrete. To understand the relationship between emission and sequestrations this study quantifies the carbonation potential of recycled concrete aggregate (RCA) across its full lifecycle, encompassing both service life and end-of-life, including stockpiling, recycling, and secondary use. An Empirical CO₂ Uptake Model for Concrete developed by IVL is used to predict carbonation depths in natural and the recycled concrete utilized as aggregate. This model assesses the carbonation uptake relative to both the CO2 generated from cement production and from concrete production in a standard bridge structure. The data shows limited carbonation occurs during the primary service life over 100 years, capturing only up to 2.99 % (5.85 kg CO2/m3) of calcination emission, while secondary applications add up to 2.66 % (5.19 kg CO2/m3). In contrast, the recycling and stockpiling phase achieves a higher rate of carbonation over a 12-month period, ranging from 31 to 65 % (61–128 kg CO₂/m3), depending on stockpile configuration and duration. Shallow, spread-out stockpiles maximize CO₂ absorption by increasing surface exposure and airflow. Dust particles fully carbonate within weeks (31 % of calcination emission), whereas larger particles carbonate progressively over time. Secondary use of RCA in new concrete further enhances its carbon sink potential due to its residual reactivity and increased porosity. Overall, concrete demonstrates substantial carbonation potential, with total CO₂ uptake ranging from 35 % to 68 % of calcination emission.
混凝土生产是碳排放的主要来源,但混凝土在其整个生命周期中的碳化也是一个自然过程,导致大气中的二氧化碳被隔离到混凝土中。为了了解排放和封存之间的关系,本研究量化了再生混凝土骨料(RCA)在其整个生命周期内的碳化潜力,包括使用寿命和报废寿命,包括储存、回收和二次利用。IVL开发的混凝土经验CO₂吸收模型用于预测用作骨料的天然和再生混凝土的碳化深度。该模型评估了在标准桥梁结构中,相对于水泥生产和混凝土生产产生的二氧化碳的碳化吸收。数据显示,在100年以上的主要使用寿命期间,碳化作用有限,仅捕获了高达2.99% (5.85 kg CO2/m3)的煅烧排放,而二次应用合计高达2.66% (5.19 kg CO2/m3)。相比之下,回收和储存阶段在12个月的时间内实现了更高的碳化率,范围从31%到65%(61-128千克二氧化碳/立方米),具体取决于储存配置和持续时间。浅层铺开的储层通过增加表面暴露和气流来最大限度地吸收二氧化碳。粉尘颗粒在几周内完全碳酸盐化(煅烧排放的31%),而较大的颗粒随着时间的推移逐渐碳酸盐化。二次使用RCA在新混凝土进一步提高其碳汇潜力,由于其残余的反应性和增加的孔隙率。总体而言,混凝土具有巨大的碳化潜力,其二氧化碳吸收总量占煅烧排放总量的35%至68%。
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Environmental Impact Assessment Review
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