Environmental Pollution最新文献

{"title":"Hydrodynamics and dissolved organic matter regulate partitioning behaviour of heavy metals in seawater in a human-impacted subtropical estuary","authors":"Ling Zhang ,&nbsp;Yunchao Wu ,&nbsp;Jia Yang ,&nbsp;Pengju Li ,&nbsp;Zhixin Ni ,&nbsp;Xiaoping Huang","doi":"10.1016/j.envpol.2025.126854","DOIUrl":"10.1016/j.envpol.2025.126854","url":null,"abstract":"<div><div>The partitioning behaviour of heavy metals (HMs) plays a crucial role in influencing their mobility and pollution risks in estuaries. However, this process remains poorly understood in dynamic estuaries subject to intense anthropogenic and terrestrial inputs, which substantially alter the hydrodynamics and organic matter characteristics. Here, we performed our study in the Pearl River Estuary, which records serious anthropogenic activities and contains vibrant hydrodynamic processes, via runoff alteration and organic matter component shift, with the aim of probing the partitioning mechanisms of HMs between the particulate and dissolved phases in the water column. Results indicated that the terrestrial and anthropogenic inputs via runoff primarily controlled the levels and distributions of HMs. Partition coefficients (<em>K</em>_<em>d</em>) of HMs were higher along the estuarine west coast and near river outlets, where stronger turbulence from currents and runoff prevailed. Offshore, <em>K</em>_<em>d</em> values decreased due to mixing of freshwater and seawater. Salt wedge-induced water stratification facilitated the retention of most HMs in the particulate phase, and had a moderate impact on metal partitioning during summer. Terrestrially derived humic-like organic components further induced the partitioning of most HMs towards the particulate phase during this season. Intense hydrodynamic mixing during winter favoured metal partitioning into the dissolved phase, increasing metal mobility and associated risks, particularly for As, Pb and Cr. Moreover, anthropogenically derived protein-like components promoted the presence of particulate phase HMs under reduced runoff conditions. This study advances the understanding of metal transfer, transformation and pollution risks in dynamic, human-impacted estuarine environments.</div></div>","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"383 ","pages":"Article 126854"},"PeriodicalIF":7.6,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144652169","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":"Seasonal variation of mercury and selenium in starfish from a contaminated coastal ecosystem","authors":"Gang Ni ,&nbsp;Le Chao ,&nbsp;Jiansong Chu ,&nbsp;Jiachen Sun","doi":"10.1016/j.envpol.2025.126857","DOIUrl":"10.1016/j.envpol.2025.126857","url":null,"abstract":"<div><div>Jiaozhou Bay (JZB), a hotspot for mercury (Hg) methylation and pollution in the Yellow Sea, faces rising Hg levels due to anthropogenic activities. However, seasonal Hg accumulation in benthic fauna remains understudied. This study investigated seasonal variations in Hg and selenium (Se) in Northern Pacific Seastar (NPS), and explored how carbon source (δ¹³C) and trophic position (δ¹⁵N) influence their accumulation. We observed distinct seasonal accumulation patterns for Hg and Se in NPS from JZB: MeHg and THg concentrations were significantly higher in summer and fall/winter than in spring, while Se levels were lowest in summer. Comparisons with two open sea sites showed that MeHg levels in NPS from JZB were significantly higher than those at Hailv Island (Weihai) and Changdao Archipelago (Yantai), while Se levels were lower than both sites. The MeHg:THg ratio and Se concentrations were positively correlated with δ¹³C, whereas MeHg, MeHg:THg and Se showed negative correlations with δ¹⁵N. The two Hg health risk assessment criteria, Se:Hg molar ratio and Se health benefit value (HBV_Se) showed that Se presented in molar excess of Hg in all NPS, potentially offsetting Hg toxicity risks. The relationships between the two risk criteria and body weight, δ¹³C and δ¹⁵N in NPS, suggest that starfish with diets less influenced by terrestrial discharge, lower trophic levels, and smaller body sizes were more protected by Se. Our findings highlight NPS as a potentially valuable bioindicator of Hg–Se interactions in this MeHg pollution hotspot and underscore the need for further research on seasonal Hg sources and Hg methylation dynamics in JZB.</div></div>","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"383 ","pages":"Article 126857"},"PeriodicalIF":7.6,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144652172","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":"A statistical analysis–driven assessment of heavy metal risks in coastal sediments of the Gulf of Kutch, India: Integrating field data with meta-analysis","authors":"Deep D. Dudiya ,&nbsp;Pranav J. Pandya ,&nbsp;Barathan Balaji Prasath ,&nbsp;Subhash I. Parmar ,&nbsp;Ketankumar Yogi ,&nbsp;A.M. Elsawah ,&nbsp;Darwin Ramteke ,&nbsp;Sebaj H. Gori","doi":"10.1016/j.envpol.2025.126860","DOIUrl":"10.1016/j.envpol.2025.126860","url":null,"abstract":"<div><div>This study presents a comprehensive assessment of heavy metal contamination in the coastal sediments of the Gulf of Kutch (GoK), India, using integrated statistical techniques and meta-analysis. Sediment samples were collected from eight intertidal locations (Jakhau, Kathda/Mandvi, Modhva, Luni, Kandla, Navlakhi, Rozi Port, and Sikka), representing a gradient of anthropogenic influence. A total of 72 sediment cores were analyzed using X-ray Fluorescence (XRF), and pollution was evaluated through indices including the Contamination Factor (CF), Enrichment Factor (EF), Geo-accumulation Index (Igeo), Pollution Load Index (PLI), and Modified Degree of Contamination (mCd). The results revealed the presence of 28 trace elements, with dominant concentrations in the order: Ca &gt; Al &gt; Fe &gt; Na &gt; K &gt; Sr &gt; Mn &gt; Ba &gt; Zr &gt; V &gt; Cr &gt; Zn &gt; Ni &gt; Nd &gt; Cu &gt; Sm &gt; Y &gt; Ga &gt; Th &gt; Co &gt; As &gt; U &gt; Ta &gt; Hg &gt; Se &gt; Pb &gt; Ag &gt; Cd. Mercury (Hg) exhibited localized enrichment, particularly at industrial and port-influenced sites. Statistical analysis (ANOVA, M-estimation) revealed significant spatial variability in metal concentrations, whereas depth-wise analysis indicated limited vertical differentiation, likely due to bioturbation and hydrodynamic mixing. The Pollution Load Index was found to be 1.25 across most sites, indicating pollution load. Among the analyzed contaminants, mercury (Hg) was observed to have Igeo value between 3 and 5 with average mercury concentration of 0.79 ppm indicating matter of concern coinciding with the threshold limits. A meta-analysis of regional studies further contextualized the observed metal levels within broader environmental trends. These findings underscore the need for continued monitoring and mitigation of trace metal inputs to protect marine ecosystems and human health in this sensitive coastal zone.</div></div>","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"383 ","pages":"Article 126860"},"PeriodicalIF":7.6,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144664523","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":"Quantitative and mechanistic study of the effect of river valley topography on urban scale pollution dispersion","authors":"Ying Wang ,&nbsp;Yuxuan Hao ,&nbsp;Yanyan Zhou ,&nbsp;Jianxiong Liu ,&nbsp;Yanfei Dong ,&nbsp;Jiaxin Long ,&nbsp;Wei Li","doi":"10.1016/j.envpol.2025.126848","DOIUrl":"10.1016/j.envpol.2025.126848","url":null,"abstract":"<div><div>This study investigates the influence of complex terrain on air pollution dispersion during a valley-basin pollution episode in Lanzhou, northwestern China, using the WRF-CALPUFF modeling system and terrain-modified sensitivity experiments to quantify these topographic effects and reveal their underlying mechanisms. Results indicate that orographic features increase NO₂ concentrations in urban areas by approximately 30 % on average, while channeling effects enhance ventilation and reduce pollutants in northwestern valleys. Analysis of atmospheric dynamics and thermodynamics reveals that thermally-induced local circulations combined with topographic stagnation create recirculation zones that effectively trap pollutants, as evidenced by recirculation factor analysis showing pronounced accumulation in these zones compared to well-ventilated areas. Valley heat deficit (VHD) demonstrates a strong correlation with NO₂ levels (R = 0.77), where elevated VHD coincides spatially with recirculation zones and pollution hotspots. The study identifies a critical VHD threshold of 1.4 MJ/m², beyond which pollution episodes occur due to suppressed vertical mixing from enhanced atmospheric stability and restricted horizontal transport from terrain-induced flow blockage. These findings highlight how the combined effects of thermal stabilization and flow obstruction work synergistically to sustain pollution accumulation in mountainous regions. The research establishes a comprehensive framework that elucidates the coupled dynamic-thermodynamic mechanisms through which terrain characteristics modulate pollution dispersion patterns, offering valuable insights into boundary layer processes and airflow dynamics during pollution events, with important implications for understanding urban air quality deterioration in complex terrain environments.</div></div>","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"383 ","pages":"Article 126848"},"PeriodicalIF":7.6,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144664525","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":"GRSP-induced diversity change of dissolved organic matter enhances the availability of PAHs in soil","authors":"Xian Zhou ,&nbsp;Pengfei Li ,&nbsp;Fredrick Owino Gudda ,&nbsp;Chao Qin ,&nbsp;Ahmed Mosa ,&nbsp;Wanting Ling ,&nbsp;Jian Wang","doi":"10.1016/j.envpol.2025.126858","DOIUrl":"10.1016/j.envpol.2025.126858","url":null,"abstract":"<div><div>The positive effects of glomalin related soil protein (GRSP) on soil ecological environment functions have been widely reported. However, the molecular mechanisms underlying GRSP-enhanced availability of polycyclic aromatic hydrocarbons (PAHs) in soils remain poorly understood. The desorption of both phenanthrene and pyrene from soils increased significantly with rising GRSP concentrations across the tested range (0–1000 mg/L), demonstrating a dose-responsive relationship. The results from Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR-MS) and UV–vis spectrophotometry revealed that GRSP addition altered the molecular diversity of dissolved organic matter (DOM), enriched phenyl structures and high-molecular-weight compounds in the retained DOM. This modification promoted DOM-PAH associations in solution and further enhanced PAH desorption from soil, thereby elucidating a potential molecular mechanism for GRSP-mediated PAH availability. These results further clarify the role of GRSP in reduction and control PAH-contaminated risks in soil, enrich people's understanding of the environmental functions of GRSP, and also provide a theoretical basis for regulating the pollution risk of PAHs by increasing the GRSP content in the soil.</div></div>","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"383 ","pages":"Article 126858"},"PeriodicalIF":7.6,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144664526","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":"Assessing the toxicological impact of DEGDB plasticizer exposure on glioblastoma multiforme via network toxicology, machine learning and in vitro methods","authors":"Yintao Ye ,&nbsp;Wei Zhong ,&nbsp;Lijuan Liang ,&nbsp;Ruyi Han ,&nbsp;Jiangeng Han ,&nbsp;Chunwei Wang ,&nbsp;Lei Chen ,&nbsp;Junqiang Qian","doi":"10.1016/j.envpol.2025.126843","DOIUrl":"10.1016/j.envpol.2025.126843","url":null,"abstract":"<div><div>Diethylene glycol dibenzoate (DEGDB) is a novel environmentally friendly plasticizer. However, toxicological studies on DEGDB remain limited, and its potential harmful effects on the malignant progression of glioblastoma are still unclear. Further systematic evaluation of its toxicity is warranted. The network toxicology, machine learning algorithm and molecular docking techniques were used to study the toxicological mechanisms of DEGDB-induced glioblastoma multiforme (GBM). The five core targets (CEBPB, CNR1, FASN, NPY and SCD) were screened out by ChEMBL, PubChem, SwissADME, CTD, STRING, TCGA and GTEx databases. GO and KEGG pathway enrichment analyses suggested that DEGDB could affect cancer and immune related pathways. The multi-level evidence for core genes was provided in GBM as potential molecular biomarkers. The TCGA, GEPIA, UALCAN, KM plotter, and TIMER databases were used to evaluate the prognosis of five core targets in GBM. The expression of CEBPB, SCD and age were shown as independent prognostic factors in GBM progression. The expression level of five core genes were significantly associated with the immune microenvironment. Molecular docking technology confirmed the strong binding affinity of DEGDB with five core targets. Moreover, DEGDB could stimulate proliferation on GBM cells, and significantly affect the protein expression levels of CEBPB and SCD. To sum up, DEGDB may accelerate the malignant progression of GBM by regulating cell proliferation, fatty acid metabolism, and immune response. These studies will provide a theoretical basis for preventing malignant diseases progression and for evaluating the related health risk strategies of novel plasticizers.</div></div>","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"383 ","pages":"Article 126843"},"PeriodicalIF":7.6,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144664522","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":"Abrupt versus gradual application of pesticides: effects on soil bacterial and fungal communities","authors":"Judith Riedo ,&nbsp;Juan F. Dueñas ,&nbsp;Susan Mbedi ,&nbsp;Sarah Sparmann ,&nbsp;Matthias C. Rillig","doi":"10.1016/j.envpol.2025.126859","DOIUrl":"10.1016/j.envpol.2025.126859","url":null,"abstract":"<div><div>Pesticides are a major anthropogenic input to the environment and a factor in global change that puts pressure on soil microbial communities. However, the effects of different rates of pesticide application on soils remain poorly understood. This study investigates how abrupt versus gradual pesticide applications influence soil bacterial and fungal communities. Employing high-throughput sequencing, we examined the microbial diversity and community composition in response to ten commonly used pesticides. Bacterial communities exhibited minimal changes across treatments, whereas fungal communities responded strongly to pesticide exposure. Gradual applications reduced the relative abundance of dominant fungal taxa, resulting in an overall increase in community evenness. This effect was particularly pronounced for two herbicides and a triazole fungicide, which induced substantial shifts in fungal composition. Conversely, abrupt pesticide applications resulted in transient disruptions but did not promote the long-term proliferation of rare fungal variants. These findings suggest that prolonged exposure to pesticides exerts strong selective pressures on fungi, potentially altering fundamental soil functions such as nutrient cycling and decomposition. Future research should focus on the long-term responses of soil microbial communities to pesticide application and the cumulative effects of chronic low-dose exposure to provide a more comprehensive understanding of how they shape microbial communities.</div></div>","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"383 ","pages":"Article 126859"},"PeriodicalIF":7.6,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144652170","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":"Air pollution decreases postsynaptic PSD-95 and NMDA receptor subunits in synaptosomes from mouse cerebral cortex","authors":"Jose A. Godoy-Lugo ,&nbsp;Daniel Hicks ,&nbsp;Salma Durra ,&nbsp;Emma R. Massey ,&nbsp;Kristina Shkirkova ,&nbsp;Ariel I. Sauri ,&nbsp;Elizabeth Kerstiens ,&nbsp;Selena Chen ,&nbsp;Lifu Zhao ,&nbsp;Constantinos Sioutas ,&nbsp;William J. Mack ,&nbsp;Caleb E. Finch ,&nbsp;Max A. Thorwald","doi":"10.1016/j.envpol.2025.126845","DOIUrl":"10.1016/j.envpol.2025.126845","url":null,"abstract":"<div><div>Air pollution (AirP) increases the risk of accelerated cognitive decline, dementia, and behavioral disorders associated with oxidative damage in humans. These AirP responses are shared with rodent models. The underlying impact of AirP-mediated molecular changes on synapses remains unexplored. We examined synaptosomes extracted from cerebral cortex of mice chronically exposed to inhaled diesel exhaust particles (DEP) for 8 weeks. DEP selectively decreased postsynaptic proteins (PSD-95; p = 0.04, SAP97; p = 0.01) by at least 20 % and NMDA receptor subunits (GluN1; p = 0.03, N2A; p = 0.009, N2B; p = 0.01) by 15 %, without altering the evaluated pre-synaptic proteins. Antioxidant enzymes for oxidized phospholipid repair (GPx4; p = 0.015), iron metabolism (HMOX1; p = 0.04), and glutathione synthesis (GCLC; p = 0.008), which participate in mitigating ferroptosis, a form of cell death present in Alzheimer's disease, increased by at least 15 %. These findings suggest subcellular responses to AirP in glutamatergic synapses. Further analyses of the impact of AirP on synapses may consider protective mechanisms by antioxidant enzymes to enhance cognitive health at all ages.</div></div>","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"383 ","pages":"Article 126845"},"PeriodicalIF":7.6,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144645293","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":"Metals in the human liver: An underappreciated risk factor of hepatic insulin resistance and associated pathophysiology","authors":"Rahul Kumar ,&nbsp;Ashwin Chinala ,&nbsp;Dhruv Grandhe ,&nbsp;S. Joseph Endicott PhD ,&nbsp;Marcus A. Garcia Pharm.D ,&nbsp;Matthew J. Campen PhD, MSPH ,&nbsp;Rama R. Gullapalli MD, PhD","doi":"10.1016/j.envpol.2025.126844","DOIUrl":"10.1016/j.envpol.2025.126844","url":null,"abstract":"<div><div>Insulin resistance is a major pathophysiological process underlying a variety of human metabolic disorders such as type II diabetes, obesity and metabolic (dysfunction) associated steatotic liver disease (MASLD). The etiology of insulin resistance and human metabolic disorders is complex, involving an interplay of genetics, gut microbiome, dietary intake, sedentary behavior, and environmental exposures. Of these, the role of environmental exposures is perhaps the least explored in the pathophysiology of insulin resistance. Due to a multitude of causal factors implicated in the etiopathogenesis of insulin resistance, it has been difficult to delineate specific roles of individual risk factors. However, from a biochemical and pathophysiological perspective, there are common cellular drivers that are universally accepted as key drivers of insulin resistance. These include-altered cell signaling, abnormal reactive oxygen species (ROS) production, mitochondrial dysfunction, and sustained bioenergetic imbalances. Target cell dysfunction is a common theme driving insulin resistance irrespective of the organ (e.g., liver, muscle and adipose tissue). While humans are exposed to numerous chemicals on a routine basis, some of the most potent environmental exposures implicated in chronic disease causation fall into the category of heavy metals. This review explores the role of sustained, low-dose heavy metal exposures in the specific context of hepatic insulin resistance. Despite being a major site for heavy metal accumulation with decades-long half-lives, our understanding of the long-term impacts of these heavy metals on human liver health remains minimal at the current time.</div></div>","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"383 ","pages":"Article 126844"},"PeriodicalIF":7.6,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144652173","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":"Deep learning-based screening approach for priority pollutants: a case study on retired power battery recycling","authors":"Xuchao Liu ,&nbsp;Jing Zhao ,&nbsp;Guohua Zhang ,&nbsp;Sheng Wei ,&nbsp;Xiaolong Song ,&nbsp;Daqiang Yin","doi":"10.1016/j.envpol.2025.126849","DOIUrl":"10.1016/j.envpol.2025.126849","url":null,"abstract":"<div><div>With the rapid increase in the production of retired power batteries, the potential environmental risks during recycling must urgently be identified and assessed. This study presented a novel screening framework for pollutant prioritization utilizing deep learning algorithms coupled with hierarchical clustering analysis. An integrated model for pollutant screening called McA was constructed based on five deep learning methods with performance-based weighting. Compared to traditional machine learning models, both the accuracy and reliability of the McA model were significantly improved (R² = 0.9999, MSE = 0.300, and MAE = 0.220 for the test set). By applying this approach to the retired power battery recycling, 13 pollutants were identified and divided into four priority levels: level I (highest priority), including 1 pollutant; level II (high priority), including 6 pollutants; level III (medium priority) including 1 pollutant; level IV (low priority) including 5 pollutants. Finally, SHapley Additive exPlanations (SHAP) visualization was performed to reveal the differences in risk priority by identifying the primary influencing factors, including acute toxicity, irritation and corrosivity, and endocrine disruption. The results of the study provide constructive schemes and insights for screening priority pollutants in the recycling process of retired power battery, suggesting the high potential to develop and implement deep learning methods in pollutant prioritization and risk management.</div></div>","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"383 ","pages":"Article 126849"},"PeriodicalIF":7.6,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144645294","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}