Journal of Environmental Management最新文献

{"title":"Understanding the role of poly(3-hydroxybutyrate) depolymerases in waste management.","authors":"H Anjulal, Harshada Sowani, Smita Zinjarde","doi":"10.1016/j.jenvman.2025.124925","DOIUrl":"https://doi.org/10.1016/j.jenvman.2025.124925","url":null,"abstract":"<p><p>Since conventional plastics are poorly degradable and harmful to living organisms, there is a need to look for alternative options such as poly(3-hydroxybutyrate) - PHB. This polymer is biodegradable via PHB depolymerases (PHBDs). Literature survey reveals that there are no comprehensive updates on PHBDs and in the current review, details regarding extracellular and intracellular forms of the enzyme are presented. Phylogenetically diverse PHBD-producing microorganisms are prevalent in a variety of natural and man-made habitats. These enzymes have been purified from different organisms and are seen to be active over a wide range of pH and temperatures. In general, extracellular PHBDs are made up of four constituents - signal peptide, catalytic domain [with a signature triad (serine, aspartate and histidine) and an oxyanion histidine], linker domain and substrate binding domain that enable degradation of PHB. Intracellular PHBDs have been mainly studied in bacterial genera such as Rhodobacter, Rhodospirillum, Ralstonia, Zoogloea, Pseudomonas, Sinorhizobium and Bacillus. Genes encoding them have been identified, characterized and cloned in other organisms. PHBD producers are envisioned to play a significant role in developing ecofriendly methods for removing PHB wastes thereby highlighting their practical relevance. Development of appropriate consortia including diverse PHBD producers and their introduction in waste disposal sites would enable treatment of PHB containing wastes. By using bioinformatics and synthetic biology-based approaches, further investigations on PHBDs from unexplored microorganisms can be undertaken and their role in the bioplastic waste management can be unraveled.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"380 ","pages":"124925"},"PeriodicalIF":8.0,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143708004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Rejection of an emerging small neutral organic micropollutant by in-situ nanofiltration membrane modification for water treatment.","authors":"Mei An, Leonardo Gutierrez, Arnout D'Haese, Rino Morent, Nathalie De Geyter, Emile Cornelissen","doi":"10.1016/j.jenvman.2025.125052","DOIUrl":"https://doi.org/10.1016/j.jenvman.2025.125052","url":null,"abstract":"<p><p>Nanofiltration (NF) membranes are recognized for their potential in removing organic micropollutants (OMPs). However, the limited efficiency of commercial NF membranes in removing small and neutral emerging OMPs has impeded its wide use. This study explores the effectiveness of in-situ modification of commercial NF270 membranes using two monomers for the removal of 1H-benzotriazole (BTA). For the first time, this work investigates the physicochemical properties of commercial NF270 membranes grafted with these two monomers, 3-(trimethoxysilyl)propyl methacrylate and 2-(diethylamino)ethyl methacrylate, using different surface characterization techniques. The study also evaluates the performance of both unmodified and modified membranes in the rejection of BTA and compares the results with state-of-the-art monomers. The 2-(diethylamino)ethyl methacrylate-grafted membranes show a modest enhancement of 12 % in BTA rejection. In contrast, the 3-(trimethoxysilyl)propyl methacrylate-modified membranes exhibit a remarkable 107 % improvement in BTA rejection compared to the virgin NF270 membrane, achieving the highest increase in OMP removal among current state-of-the-art monomer-modified membranes reported in previous research. This approach effectively removes BTA primarily through the mechanisms of size exclusion and hydrophobic interactions. This research presents a comprehensive strategy for surface modification of NF membranes, offering potential improvements in the rejection of small and neutral OMPs for water treatment.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"380 ","pages":"125052"},"PeriodicalIF":8.0,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143707977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Does digital government reduce carbon emissions? Empirical evidence from global sources.","authors":"Chun Li, Xu Chen, ChenXi Yuan","doi":"10.1016/j.jenvman.2025.125081","DOIUrl":"https://doi.org/10.1016/j.jenvman.2025.125081","url":null,"abstract":"<p><p>Carbon emissions have become a common concern of the international community. We investigate the stage differences in the impact of digital government on carbon emissions from a life cycle perspective of digital government development through nonlinear modeling based on data from 159 countries from 2003 to 2022. Our research found that: (1) Digital government has a non-linear effect on carbon emissions in an inverted \"U\" shape of \"first promote and then inhibit\", with an inflection point value of 0.328. Digital government can significantly inhibit carbon emissions when it exceeds the inflection point value. Mechanism analysis shows that digital government has a suppressing effect on carbon emissions by improving government efficiency, government regulatory quality, and business environment. In addition, this inverted \"U\" relationship is more pronounced in developed countries and countries with outward-looking economies. (2) Among the components of digital government, information infrastructure and online services are the key drivers of this inverted \"U\" relationship. Threshold analysis shows that when the information infrastructure index exceeds 0.437 or the online service index exceeds 0.606, the digital government shows a significant inhibition of carbon emissions. (3) Moderation analysis shows that energy consumption structure, employment structure, and e-participation of residents negatively moderated the inverted U-shaped relationship between digital government and carbon emissions, and they flattened the original inverted U-shaped curve. We then make some policy recommendations for different types of countries in their efforts to sustainably scale up government.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"380 ","pages":"125081"},"PeriodicalIF":8.0,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143707942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigation of the long-term interactions of nature's contributions to people under SDGs-SSPs scenarios to promote ecological sustainability in the arid and semiarid zones of China.","authors":"Hua Liu, Yuanyi Gao, Yangjian Zhang, Ziyang Peng, Lin Ma","doi":"10.1016/j.jenvman.2025.125104","DOIUrl":"https://doi.org/10.1016/j.jenvman.2025.125104","url":null,"abstract":"<p><p>Understanding the interactions among nature's contributions to people (NCPs) is considered an important way to manage ecosystem and reduce future ecological risks. However, few existing studies forecast the intricate interplay of trade-offs, synergies, and bundles among NCPs under future scenarios. This gap is particularly pronounced in the arid and semiarid zones of China (ASZC), which are highly vulnerable to climate change and human disturbances. To address this issue, this study focuses on the ASZC as the research area and employs an integrated research framework to clarify the spatiotemporal dynamics of land use, NCPs and their interactions under three Sustainable Development Goals and Shared Socioeconomic Pathway (SDGs-SSPs) scenarios between 2030 and 2060. The results indicate that: (1) forest area is projected to expand, and grassland area slightly decrease in future scenarios; (2) high-density forest and grassland in the southeastern part of the ASZC have significantly increased the provision of NCPs; (3) trade-off between NCPs is primarily observed between the regulation of water quantity, location and timing (NCP6) and the formation, protection and decontamination of soils and sediments (NCP8). Furthermore, NCP bundles that were previously dominated by habitat creation and maintenance (NCP1)-regulation of climate (NCP4)-NCP6 have shifted to NCP1-NCP4 in and NCP1-NCP8 bundles across different SDGs-SSPs scenarios. This study enhances our understanding of future NCPs dynamics and suggests that the interactions and bundles of NCPs is essential for improving ecosystem management.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"380 ","pages":"125104"},"PeriodicalIF":8.0,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143707955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Application of dinoflagellate-specific satellite models to aid Alexandrium catenella bloom monitoring in the Bering and Chukchi seas.","authors":"Priscila K Lange, Evangeline Fachon, Jens M Nielsen, Michael Brosnahan, Jiaxu Zhang, Calvin W Mordy, Jeanette C Gann, Michael W Lomas, Emma Pate, Gay Sheffield, Phyllis Stabeno, Dale Robinson, Mrunmayee Pathare, Kathi A Lefebvre, Donald M Anderson, Lisa B Eisner","doi":"10.1016/j.jenvman.2025.125042","DOIUrl":"https://doi.org/10.1016/j.jenvman.2025.125042","url":null,"abstract":"<p><p>Harmful algal blooms (HABs) of the toxic dinoflagellate Alexandrium catenella are increasing in the Pacific Arctic due to ocean warming. threatening ecosystems and to coastal communities that rely on marine resources for their subsistence. This study explores the potential of the Sentinel-3 remote sensing reflectance (R_rs(λ)) to detect and quantify dinoflagellate blooms in the Bering and Chukchi seas using an A. catenella cell abundance dataset to regionally parameterize and evaluate new algorithm combinations (color indexes and principal component regression - PCR). The color indexes utilize the fluorescence (FLH), green (GLH), and blue line heights (BLH) and the spectral difference in FLH peak to identify dinoflagellate blooms. The algorithms were parameterized and validated using 45 satellite match-ups with in situ A. catenella abundances measured over summer 2022 in the North Bering and Chukchi seas. Assuming the dinoflagellate bloom is dominated by A. catenella, the dinoflagellate index DINI (GLH-based) and enhanced bloom index EBI (BLH-based) provide reliable cell abundance estimates at concentrations higher than 10,000 (R² = 0.53) and 3000 cells/L (R² = 0.67), respectively. The PCR model resolves estimates at lower cell abundances (>1000 cells/L, R² = 0.68). Despite their higher uncertainty, color index models provide early detection and tracking of potential A. catenella blooms, as demonstrated during Summers 2023 and 2024. By providing timely and accurate information on bloom dynamics, these satellite products can significantly augment HAB monitoring systems in the Pacific Arctic.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"380 ","pages":"125042"},"PeriodicalIF":8.0,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143707939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhanced efficiency nitrogen fertilizers suppress soil methane uptake from a mulch drip-irrigation system in arid region.","authors":"Yanyan Li, Xiaopeng Gao, Ji Liu, Jianlin Shen, Ji Chen, Fanjiang Zeng","doi":"10.1016/j.jenvman.2025.125092","DOIUrl":"https://doi.org/10.1016/j.jenvman.2025.125092","url":null,"abstract":"<p><p>Limited information is available on the impact of Enhanced Efficiency Nitrogen Fertilizers (EENFs) on soil methane (CH₄) uptake and its relationship with diffusion in dryland farming. To address this, we conducted a two-year cotton (Gossypium hirsutum L.) field experiment under drip irrigation in arid northwestern China. The study assessed the effects of two EENFs (ESN and SuperU) and conventional urea, applied at 120 and 240 kg N ha^-1, on surface CH₄ uptake and profile diffusion. ESN is polymer-coated urea, and SuperU is a stabilized N fertilizer containing urease and nitrification inhibitors. ESN and SuperU were fully side-banded at pre-plant due to their low solubility and tendency to float, while urea, with its higher solubility, was applied via fertigation. We measured surface CH₄ uptake using static chambers and CH₄ concentrations at 5, 15, 30, and 60 cm soil depths using in-situ diffusive sampling. CH₄ diffusion rates were calculated using the concentration gradient method. Soil ammonium, (NH₄⁺) and nitrate (NO₃^-) nitrogen concentrations, moisture, and temperature were determined. The results showed that, compared to urea, applying ESN and SuperU reduced cumulative surface CH₄ uptake (30.1 %-42.7 %) and increased soil NH₄⁺ (30.1 %-33.5 %) and NO₃^- (20.6 %-46.0 %) concentration. Soil CH₄ concentration decreased with depth, with the highest CH₄ oxidation in the 15-30 cm layer. CH₄ concentrations in the 5-50 cm layer and diffusion rates in the 0-60 cm layer were positively and negatively correlated with soil moisture, respectively, but weakly influenced by N fertilizer treatment. Dry-wet alternation and low soil moisture limited the response of CH₄ concentration and diffusion to changes in mineral N. Additionally, weak correlations were found between surface CH₄ uptake rates and profile diffusion rates across all treatments. The reduced surface CH₄ uptake with ESN and SuperU was mainly due to increased NO₃^- concentrations. This study highlights the risk of reduced CH₄ uptake with ESN and SuperU and improves understanding of CH₄ concentration and diffusion in drip-mulch irrigation systems.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"380 ","pages":"125092"},"PeriodicalIF":8.0,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143707944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine learning for predictive mapping of exceedance probabilities for potentially toxic elements in Czech farmland.","authors":"Jan Skála, Daniel Žížala, Robert Minařík","doi":"10.1016/j.jenvman.2025.125035","DOIUrl":"https://doi.org/10.1016/j.jenvman.2025.125035","url":null,"abstract":"<p><p>For efficient decision-making and optimal land management trajectories, information on soil properties in relation to safety guidelines should be processed from point inventories to surface predictive maps. For large-scale predictive mapping, very few practical implementations have attempted to clarify how well indicator models can be built from large covariate sets combined with spatial proxies. This paper summarizes the performance of the weighted indicator-based random forest model which was used to predict exceedance probabilities for several potentially toxic elements (PTEs) in Czech farmland. The method was implemented for data mining in the Czech high-density monitoring data which had to be firstly regressed to achieve analytical harmony, and the reliability of the regression-based harmonisation was used as the input weights for the final model. The indicator-based models were trained for each PTE (As, Be, Cd, Co, Cr, Cu, Hg, Ni, Pb, V, and Zn) with two different sets of indicators, reflecting the two-tier nature of the Czech safety guidelines, which differentiate between soil textures of topsoil. The two separate predictive outputs are combined into a single probability map using a pragmatic meta-model of linear weights derived from a soil texture map generated by a compositional spatial model. Through validation with data splitting, the accuracy of the models showed relatively high predictive power for the probability distributions, but with pronounced differences between PTEs as the root mean square error in terms of exceedance probabilities ranged from 11 % (V) to 32 % (Cd and Cr) for independent validation. In addition, models based on high-resolution auxiliary variables allowed a meaningful and quantitative identification of the most important natural and anthropogenic drivers for areas with an increased rate of non-compliance with the protection thresholds for cultivated soils. Variable importance calculations showed the dominant influence of spatially explicit covariates (represented by geographical distances to quantile-based groups of points), but still significant contributions from other predictors. Among the natural factors, lithological information came to the fore, mainly due to continuous response variables such as mineral exploration density or geophysical ancillary variables (from remotely sensed gravimetry and radiometry). Among anthropogenic factors, particulate matter in the atmosphere was identified as the most important human-related pressure, followed by several land-use effects.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"380 ","pages":"125035"},"PeriodicalIF":8.0,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143707958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigating the adoption of voluntary sustainability initiatives when mining for battery minerals: An iterative systems thinking approach.","authors":"Bernardo Mendonca Severiano, Stephen A Northey, Jayden Hyman, Damien Giurco","doi":"10.1016/j.jenvman.2025.124941","DOIUrl":"https://doi.org/10.1016/j.jenvman.2025.124941","url":null,"abstract":"<p><p>Decarbonizing the automotive sector is leading to a significant shift towards electric vehicle (EV) adoption, underpinning the need for lithium-ion batteries, which in turn, depend on the extraction of minerals such as lithium, nickel, manganese, and cobalt. To understand the complexities associated with adopting voluntary sustainability initiatives (VSI) when mining these minerals, this study leverages System Dynamics (SD) to conceptualize the perceptions between stakeholders, intrinsic motivations, and various factors across supply chain steps. This research follows an iterative process of participatory model building, engaging stakeholders through workshops to validate and refine the model, thus embodying a shared understanding of the problem space. The result of this study includes a Causal Loop Diagram (CLD), which captures the system's dynamics, describes mental models, and identifies feedback loops influencing the adoption of VSIs in mining operations. A detailed analysis of the CLD is performed to provide insights on common system patterns. This research aims to support a better understanding of factors influencing decisions regarding environmental impact mitigation in the mining sector for battery minerals. These findings offer preliminary insights that could support more informed decision-making and sustainable practices in the decarbonisation of battery supply chains.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"380 ","pages":"124941"},"PeriodicalIF":8.0,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143707952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From resource matching to economic sustainability: A multi-stage analysis of water-land-economy interactions in the lower Yellow River Basin.","authors":"Yixuan Diao, Jun Xia, Qianjin Dong, Qiting Zuo, Mengyun Xie","doi":"10.1016/j.jenvman.2025.125078","DOIUrl":"https://doi.org/10.1016/j.jenvman.2025.125078","url":null,"abstract":"<p><p>Global climate change and resource depletion increase the risks of water and land resource scarcity, yet our understanding of how to optimize the matching of these resources and their economic implications remains limited. This study proposes a novel framework based on matching degree analysis to evaluate the matching status of water-land resources and its impact on economic development. Applying a multi-dimensional matching approach to the lower Yellow River floodplain, we explore the spatial and temporal dynamics of water-land matching across different economic development type, along with the impact on the economy. By integrating the Cellular Automata Markov (CA-Markov) model with CMIP6 climate scenarios, we analyze future land-use changes and resource dynamics under various climate conditions. The findings reveal significant regional heterogeneity in the role of water and land resources in economic development. Production-intensive areas exhibit stable resource support, while agriculture-dependent areas show more variability, overall, the degree of water-land matching positively influences economic performance in most regions (66%). As urbanization progresses, gross domestic product (GDP) and urbanization rates emerge as dominant factors shaping resource-economic dynamics. Future projections indicate that water and land resources will stably support economic production in both industrial and agricultural regions. However, regions such as Taiqian and Dong'e, which focus on modern agriculture and ecological protection, are expected to experience more significant fluctuations in resource availability and economic outcomes. This study provides a holistic framework for optimizing resource management and informs policies to enhance regional resilience amid climate change and resource constraints.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"380 ","pages":"125078"},"PeriodicalIF":8.0,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143707946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The AI-environment paradox: Unraveling the impact of artificial intelligence (AI) adoption on pro-environmental behavior through work overload and self-efficacy in AI learning.","authors":"Byung-Jik Kim, Min-Jik Kim","doi":"10.1016/j.jenvman.2025.125102","DOIUrl":"https://doi.org/10.1016/j.jenvman.2025.125102","url":null,"abstract":"<p><p>This study examines the complex relationships among artificial intelligence (AI) adoption in organizations, employee work overload, and pro-environmental behavior at work (PEBW), while examining the moderating role of self-efficacy in AI learning. Drawing on several theories, we developed and tested a moderated mediation model utilizing a 3-wave time-lagged survey of 416 employees from diverse South Korean corporations. Our findings reveal that the link between AI adoption and PEBW is fully mediated by work overload, with AI adoption positively influencing work overload, which in turn negatively affects PEBW. Importantly, self-efficacy in AI learning moderates the AI adoption-work overload link, such that the positive influence is weaker for members with higher levels of self-efficacy. These results highlight the unintended consequences of AI adoption on environmental behaviors and underscore the significance of individual differences in shaping responses to technological change. The current research contributes to the literature by elucidating the mechanisms through which AI adoption influences PEBW and by identifying factors that can mitigate potential negative effects. The findings offer meaningful perspectives for organizations aiming to balance technological advancement with environmental sustainability goals, emphasizing the need for strategies that enhance members' self-efficacy in AI learning and manage workload effectively. This paper advances our knowledge of the complex interplay between technological adoption, work experiences, and pro-environmental behaviors in contemporary organizational settings.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"380 ","pages":"125102"},"PeriodicalIF":8.0,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143707981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}