Environmental Impact Assessment Review最新文献

{"title":"Understanding farmers' protective behavior towards pesticide use in Northern India: A health belief model approach using PLS-SEM and fsQCA","authors":"Shailendra Singh Shah ,&nbsp;Jos van Dam ,&nbsp;Liangxin Fan ,&nbsp;Suresh Kumar ,&nbsp;Awtar Singh ,&nbsp;Devendra Singh Bundela ,&nbsp;Rajender Kumar Yadav ,&nbsp;J. Bastiaan Mohrmann ,&nbsp;Violette Geissen ,&nbsp;Coen J. Ritsema","doi":"10.1016/j.eiar.2025.108193","DOIUrl":"10.1016/j.eiar.2025.108193","url":null,"abstract":"<div><div>Unsafe pesticide use in agriculture poses severe risks to human and environmental health. Yet, the behavioral drivers of protective measures remain poorly understood, particularly in North India, where intensive agriculture has degraded the agroecosystem. This study investigated farmers' protective behavior (PB) through the Health Belief Model (HBM) using an integrated framework that combines Partial Least Squares Structural Equation Modeling (PLS-SEM) with Fuzzy-Set Qualitative Comparative Analysis (fsQCA). Field survey data from the Hindon River Basin revealed widespread use of hazardous insecticides (WHO Class Ia, Ib, and II; &gt;7 applications/season), poor adoption of personal protective equipment (PPE), and unsafe handling and disposal practices, leading to acute health symptoms including skin and eye irritation, headaches, and dizziness. Although most farmers recognized the health risks from pesticide exposure, awareness of environmental impacts remained limited. PLS-SEM findings indicated that cues to action (β = 0.228, <em>p</em> &lt; 0.01), self-efficacy (β = 0.188, <em>p</em> &lt; 0.05), and perceived benefits (β = 0.182, p &lt; 0.05) significantly promoted PB, whereas higher perceived barriers and perceived severity had negative effects; perceived susceptibility showed no direct effect. fsQCA demonstrated its indirect role and identified combinations of high perceived susceptibility, perceived benefits, self-efficacy, and education as the most effective pathways for strengthening PB. Self-efficacy emerged as a core condition for safe behavior, while the absence of cues to action was linked to unsafe practices. These findings highlight the need for targeted, group-specific interventions such as training, awareness, and regulatory measures to inform integrated environmental health policies in similar agricultural contexts across developing countries.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"117 ","pages":"Article 108193"},"PeriodicalIF":11.2,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145155230","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}

{"title":"Sub-system input-output analysis of international and inter-industry leakage of emissions induced by household consumption in the United States of America","authors":"Viet-Ngu Hoang ,&nbsp;William Connell ,&nbsp;Shahzad Alvi ,&nbsp;Shunsuke Managi","doi":"10.1016/j.eiar.2025.108180","DOIUrl":"10.1016/j.eiar.2025.108180","url":null,"abstract":"<div><div>The literature highlights the significant greenhouse gas (GHG) emissions by households in the United States of America (USA) and consumption-induced carbon leakage from the USA to other countries over the last few decades. However, there is a lack of examination of the evolution of emissions induced by the demand of US households from both inter-industry and international trade perspectives. This paper extends the standard sub-system input-output decomposition method to fill this gap. The standard method decomposes industry-level emissions into direct, internal, feedback, and spillover effects as structured in the input-output database. We propose decomposing the spillover and feedback effects additively into several sub-components, capturing the effects that are attached to USA imports from its trading partners. Using data from EORA-26, we provide a detailed analysis of how these effects have changed from 1990 to 2021 at the aggregate and industry levels. Empirical analysis provide insights into the main factors that drive inter-industry emission and international emission leakages from the USA to its main trading partners.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"117 ","pages":"Article 108180"},"PeriodicalIF":11.2,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145155229","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}

{"title":"Understanding habitat isolation under urban dynamic growth based on ecological networks: Evidence from the Wuhan metropolitan area, China","authors":"Sui Liu ,&nbsp;Yifan Xie ,&nbsp;Nannan Wang ,&nbsp;Zhaomin Tong ,&nbsp;Yaolin Liu ,&nbsp;Yanfang Liu","doi":"10.1016/j.eiar.2025.108184","DOIUrl":"10.1016/j.eiar.2025.108184","url":null,"abstract":"<div><div>Understanding habitat isolation and ecological connectivity from the perspective of heterogeneous landscape interactions constitutes a critical scientific foundation for addressing habitat fragmentation under urbanization and achieving a balance between urban growth and ecological conservation. This study developed a novel two-metric framework consisting of the Urban Growth Isolation Index (UGII) and the Ecological Patch Isolation Degree (EPID), integrated with ecological network (EN) analysis, to quantify the spatiotemporal dynamics of habitat isolation under urban expansion. The results revealed that the Wuhan Metropolitan Area (WMA) underwent intense urban land expansion along a “dispersed–coalesced–dispersed” trajectory from 1990 to 2020. As a consequence, disturbances to ecological sources and ecological corridors gradually increased. The connectivity between ecological sources was impeded, and the isolation level of ecological sources continued to rise. Spatially, the degree of isolation exhibited a distinct pattern, being higher in ecological sources near built-up urban areas and lower in densely clustered ecological sources. In addition, divergent characteristics were observed among urban growth patterns (UGPs). Outlying growth contributed the most to habitat isolation, with a steadily increasing share over time. In contrast, edge-expansion and infilling growth showed relatively smaller and gradually declining contributions. These findings provided practical support for ecological conservation and urban planning. Moreover, the proposed assessment framework, which integrated UGPs with EN, offered a methodological foundation for understanding the interactions between spatial patterns and ecological processes.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"117 ","pages":"Article 108184"},"PeriodicalIF":11.2,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145118111","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}

{"title":"Cumulative effects analysis to inform public land management in the United States: key characteristics and legal challenges","authors":"Tait K. Rutherford ,&nbsp;Tim O. Hammond ,&nbsp;Alison C. Foster ,&nbsp;Megan A. Gilbert ,&nbsp;Travis S. Haby ,&nbsp;Richard J. Lehrter ,&nbsp;Jennifer K. Meineke ,&nbsp;Ella M. Samuel ,&nbsp;Sarah K. Carter","doi":"10.1016/j.eiar.2025.108158","DOIUrl":"10.1016/j.eiar.2025.108158","url":null,"abstract":"<div><div>Considering potential cumulative effects of proposed actions is fundamental to environmental impact analysis. However, cumulative effects analyses historically are not robust, especially for site-specific decisions. We sought to identify opportunities to strengthen cumulative effects analysis in a large United States public land management agency, the Bureau of Land Management (BLM). We asked 1) how cumulative effects analyses were legally challenged, 2) how site-specific cumulative effects analyses aligned with policy and compared to the broader-scale analyses to which they tiered, and 3) whether characteristics of cumulative effects analyses varied with category of proposed action, type of resource, or agency office. We used thematic analysis to assess litigation and appeals case documents finalized from 2010 to 2020 and a set of document analysis questions to assess National Environmental Policy Act (NEPA) analyses for BLM decisions completed prior to 2020 in Alaska and Colorado. We found that legal challenges related to cumulative effects focused on absence of cumulative effects analysis. In NEPA analyses, cumulative effects were frequently considered, but elements recommended in policy, such as citations, methods, and scope, were rarely included. These elements were present more often in the broader analyses to which site-specific analyses tiered. Many elements of cumulative effects analyses varied by proposed action and BLM office, and analyses of potential cumulative effects on air quality were consistently more detailed than for other resources. Our results suggest that many problems that historically plagued cumulative effects analysis persist. Advances in methods, training, and guidance could strengthen the defensibility of NEPA analyses.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"117 ","pages":"Article 108158"},"PeriodicalIF":11.2,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145118112","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}

{"title":"Finite-element simulation: A new method for risk assessment and pattern optimization towards ecological security pattern","authors":"Zhonghao Ma ,&nbsp;Xuxi Wang ,&nbsp;Li Peng ,&nbsp;Shuai Liang","doi":"10.1016/j.eiar.2025.108188","DOIUrl":"10.1016/j.eiar.2025.108188","url":null,"abstract":"<div><div>Risk assessments of ecological security patterns (ESPs) are crucial for maintaining ecosystem connectivity and stability. Although numerous studies of the construction of ESPs have been conducted, novel perspectives and approaches are still needed for ESP risk analysis. The regional ESP is constructed using morphological spatial pattern analysis (MSPA) and circuit theory, forming the basis for subsequent risk assessment and optimization. This study introduces an innovative <em>finite-element simulation</em> framework to identify ecological corridors and assess their structural stability, providing a new approach for ESP optimization, addressing four key research objectives: (1) constructing a novel ESP analysis method, (2) simulating ecological corridors to evaluate their stability under environmental disturbances, (3) establishing multi-scenario comparative analyses, and (4) exploring the impact of stepping stones on corridor stability. The technical framework constructed on the basis of the ESP comprises five core components: corridor discretization, finite element-oriented corridor strength conversion, load transformation from external impacts on corridors, and constraint configurations for ecological sources and stepping stones. The framework is used to further optimize the ESP through <em>finite-element simulations</em> via multiple scenario analyses. Corridors with potential instability (e.g., high stress concentration and deformation) are identified through structural analysis, with corridor B exhibiting the maximum deformation (0.734 m) and significant stress concentration (200 MPa), indicating vulnerability to environmental disturbances. Multi-scenario simulations reveal that stepping stones enhance corridor resilience, but their placement may destabilize adjacent corridors, necessitating strategic spatial planning. Through an interdisciplinary methodology, the feasibility of implementing <em>finite-element simulations</em> in ESP risk assessment and optimization is verified, offering a novel perspective for ecological conservation research.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"117 ","pages":"Article 108188"},"PeriodicalIF":11.2,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145118725","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}

{"title":"Analyzing the environmental impact of agricultural production in Africa through a comprehensive spatial econometric framework","authors":"Regret Sunge ,&nbsp;Delphin Kamanda Espoir","doi":"10.1016/j.eiar.2025.108183","DOIUrl":"10.1016/j.eiar.2025.108183","url":null,"abstract":"<div><div>This study investigates the environmental impacts of agricultural production in Africa, focusing on the continent's challenge of sustainably feeding a rapidly growing, food-insecure population. The study presents new evidence on three disaggregated sectors-crop, livestock, and fishery, using a fully modified agricultural-induced Environmental Kuznets Curve (AEKC) framework anchored on the Stochastic Impact by Regression on Population, Affluence, and Technology (STIRPAT) model. Using data from 50 countries (1990–2021), environmental quality is assessed through the agricultural total ecological footprint (ATEFP), measured in global hectares. The Spatial Durbin Model (SDM) is employed to assess spatial dependence and spillover effects. Exploratory Spatial Data Analysis (ESDA) reveals strong ecological spillovers between neighboring countries, highlighting proximity's influence on ecological outcomes. A 1 % increase in a country's agricultural output raises its ecological footprint by 0.543 % and its neighbors' by 0.0469 %. While the traditional Environmental Kuznets Curve (EKC) hypothesis is rejected, the AEKC is confirmed, suggesting that environmental improvements can eventually occur with continued agricultural growth. The sectoral analysis reveals varying environmental impacts: the standard EKC is observed exclusively in the fishery sector, while the AEKC is validated solely in the crop sector. The animal sector is U-shaped, becoming significant in the long run. Given spatial dependence, the study recommends deepening of agricultural regional integration and increased incorporation of agriculture in Paris Agreement related national development frameworks. Furthermore, policymakers should adopt sector-specific, spatially sensitive strategies that support a transition toward sustainable and resilient agricultural systems across the continent.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"117 ","pages":"Article 108183"},"PeriodicalIF":11.2,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145105789","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}

{"title":"Using machine learning to evaluate the impact of urban development on PM2.5 concentrations and health risks in Chinese cities","authors":"Baoxin Zhai ,&nbsp;Qiannan Duan ,&nbsp;Junjia Liu ,&nbsp;Hailong Zhang ,&nbsp;Zhuoyi Xu","doi":"10.1016/j.eiar.2025.108185","DOIUrl":"10.1016/j.eiar.2025.108185","url":null,"abstract":"<div><div>The rapid urbanization process has exacerbated PM_2.5 pollution and given rise to a series of health risks. Various studies have explored the link between urban development and PM_2.5 concentrations. However, few have translated these explanatory insights into scenario-based predictions of how future urban development affects PM_2.5 pollution and related health risks. Thus, this study aims to use machine learning (ML) algorithms to explore the effects of urban development on PM_2.5 concentrations and predict future PM_2.5 levels and associated health risks under various scenarios. Herein, data on ten key urban development indicators across four domains—land use, population and urbanization, economic growth, and environmental governance—were collected from 345 Chinese cities (2013−2023). A stacking model that integrates SVR, RF, DT, GBDT, and XGBoost was employed to simulate the relationship between these indicators and PM_2.5 concentrations and predict future PM_2.5 levels, while a meta-regression-Bayesian regularized trimmed (MR-BRT) model was used to assess PM_2.5-related health risks. Additionally, changes in PM_2.5 concentrations and health risks under six urban development scenarios were discussed. Finally, a spatiotemporal differentiated comprehensive urban development framework to suppress PM_2.5 and associated health risks was proposed. The results indicate that compared with single ML models, the stacking model has a better goodness-of-fit when fitting the complex relationship between urban development and PM_2.5 concentrations in urban-level tabular data. Single environmental governance measures have limited effects, while industrial structure transformation emerges as the core driver for short-term PM_2.5 mitigation in China. However, long-term reductions necessitate coordinated spatial and demographic planning. The findings provide empirically grounded strategies for cities to improve air quality and mitigate health risks, particularly applicable to developing economies experiencing rapid urbanization.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"117 ","pages":"Article 108185"},"PeriodicalIF":11.2,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145105788","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}

{"title":"Group effort or single-handed? A study on the mechanisms by which multistakeholder collaborative governance influences carbon emissions in urban agglomerations","authors":"Yiwen Zhao,&nbsp;Yi Yang,&nbsp;Lin Yang","doi":"10.1016/j.eiar.2025.108182","DOIUrl":"10.1016/j.eiar.2025.108182","url":null,"abstract":"<div><div>The complexity of carbon emission reduction processes renders singular governance models inefficient, whereas multistakeholder collaborative governance can effectively promote carbon reduction efforts in urban agglomerations. In this study, a two-way fixed effects model is used to analyze the impact mechanism and spatial spillover effects of multistakeholder collaborative governance on carbon emissions in urban agglomerations from 2011 to 2022, and the moderating role in terms of different urbanization level and spatial structure is explored. The results indicate that collaboration among the government, the public, and enterprises is conducive to reducing carbon emissions and that the carbon reduction effect of multistakeholder collaborative governance has significant spatial spillover. Multistakeholder collaborative governance has a stronger positive effect on carbon reduction in regions with a high urbanization level and polycentric spatial structure. The carbon reduction effect of multistakeholder collaborative governance can maximize by increasing the level of green technology innovation and strategically using foreign investment. The constructed multistakeholder collaborative governance framework offers a valuable contribution to understanding collaborative governance and has practical applications for carbon emissions management in urban agglomerations.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"117 ","pages":"Article 108182"},"PeriodicalIF":11.2,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145105843","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}

{"title":"Note unexpected reverse in city-level CO2 carbon peak status: Challenges to China's ambitious climate goals","authors":"Li Zhang ,&nbsp;Wanyue Shan ,&nbsp;Fanxin Meng ,&nbsp;Shuying Zhu ,&nbsp;Muchuan Niu ,&nbsp;Mengbing Du ,&nbsp;Mingyu Li ,&nbsp;Jianhui Ruan ,&nbsp;Zhe Zhang ,&nbsp;Linyan Li","doi":"10.1016/j.eiar.2025.108176","DOIUrl":"10.1016/j.eiar.2025.108176","url":null,"abstract":"<div><div>As the world's leading carbon emitter, China has committed to ambitious “Dual Carbon” targets for 2030 and 2060. Given the variation in cities' socioeconomical status and mitigation potential, identifying city-specific emission trajectories and strategies is crucial to achieving the national climate goals. In this paper, we developed an updated time-series (yearly from 2005 to 2023), bottom-up (using source-level emission profile), full-scale (including fossil fuel combustion sectors, and industrial processes and indirect emissions sectors) CO₂ emission inventory covering all Chinese cities (including 339 prefecture-level cities), by using a hybrid method covering big data analysis, remote sensing applications, and GIS technology. It showed that overall CO₂ emissions in Chinese cities grew steadily from an average of 20.64 million tons in 2005 (95 % CI 0.25–88.68 million tons) to 37.80 million tons in 2020 (95 % CI 1.39–164.36 million tons), driven mainly by emissions from industrial and indirect sectors (increase by 12.45 and 21.63 million tons). We also identified an unexpected reversal in emission status from 2020 to 2023, with 65 cities shifting back from previously decline or plateau status to growth status, reversing earlier progress. Meeting China's 2030 peak emissions target will require stricter emission reduction scenarios, with significant reductions in emissions from the industrial and power sectors, as well as indirect emissions (collectively accounting for 1739 million tons of reductions between 2023 and 2035), aiming to achieve at least the 60th percentile of the corresponding benchmark. Our paper advocates for the implementation of a real-time carbon emission monitoring system at the local government level and suggests that high-emission cities could achieve noticeable reductions in emissions by adopting benchmark emission performance standards from their peer cities, while simultaneously exploring low-carbon development pathways. To enhance practical relevance, we further propose actionable recommendations targeting key implementation challenges, including funding, technology, and institutional frameworks for effective urban decarbonization.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"117 ","pages":"Article 108176"},"PeriodicalIF":11.2,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145105787","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}

{"title":"From laboratory to industrial scale: How to evaluate the carbon mineralization of cement and cement-based materials","authors":"Sining Lyu ,&nbsp;Qiuxia Zou ,&nbsp;Junda Quan ,&nbsp;Ning Zhang ,&nbsp;Kairui Hu ,&nbsp;Lianzheng Gui ,&nbsp;Wenbo Yu ,&nbsp;Sha Liang ,&nbsp;Huabo Duan ,&nbsp;Jiakuan Yang","doi":"10.1016/j.eiar.2025.108171","DOIUrl":"10.1016/j.eiar.2025.108171","url":null,"abstract":"<div><div>Cement production is a major source of global CO₂ emissions. Carbon mineralization presents a promising pathway for emission reduction across the lifecycle of cement and cement-based materials (CCM). This study systematically evaluates the mineralization potential of CCM by integrating reaction mechanisms, sequestration efficiencies, techno-economic constraints, and policy considerations. The process is thermodynamically favorable and kinetically tunable, converting CO₂ into stable CaCO₃ through reactions with Ca(OH)₂, C-S-H, and unhydrated clinker. Distinct carbonation mechanisms operate at different stages—early-age carbonation during mixing, strength and durability gains during curing, and pore filling in recycled aggregates at end-of-life. Sequestration efficiency varies by stage: low in mixing (0.616–2.21 kg/m³), high in curing (35.0–113.47 kg/m³), and moderate in RCA treatment (16.9–58.0 g/kg aggregates). Co-sequestration of NO_x and SO_x further enhances environmental performance, though challenges such as gas diffusion limitations and competitive adsorption persist. While natural carbonation offsets 30–55 % of process emissions, fully scaled accelerated carbonation could sequester up to 483 Mt. CO₂ annually. Industrial application remains limited by CO₂ capture logistics, flue gas purity, and infrastructure demands. High capital costs—especially for curing systems—require supportive policy, carbon pricing, and optimized logistics. Life cycle assessments (LCA) confirm environmental benefits, especially with CO₂ curing. However, successful large-scale implementation will require coordinated innovation in materials science, process design, and regulatory frameworks to realize the full mitigation potential of CCM-based mineralization technologies.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"117 ","pages":"Article 108171"},"PeriodicalIF":11.2,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145105786","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}