Pub Date : 2026-01-30DOI: 10.1016/j.envpol.2026.127707
Gabriela Santos Caldeira, Pedro Costa Evangelistaa, Mariana Melo Lage, Fernando Barboza Egreja Filho, Tereza Cristina Souza de Oliveira, Keila Cristina Aniceto, Rogério Ribeiro Marinho, Naziano Pantoja Filizola Junior, Caroline de Jesus Santos, Ednaldo Bras Severo, Cláudia Carvalhinho Windmoller
Extreme climate events are intensifying in the Amazon Basin, with the 2023 drought marking the most severe on record in the Negro River, exposing extensive sediment banks and raising concerns about geochemical alterations in this acidic, organic-rich blackwater system. Rare earth elements (REEs), increasingly recognised as emerging contaminants and geochemical tracers, were analysed in surface and profile sediments from Anavilhanas Archipelago and from Manaus. Samples from Anavilhanas Archipelago exhibited low ΣREE concentrations and fractionation patterns consistent with natural mafic sources. In contrast, Manaus sediments, particularly those exposed to air, showed elevated ΣREE levels (up to 167.6 mg/kg), enhanced ΣLREE/ΣHREE ratios, and positive cerium anomalies, indicating oxidative processes and potential anthropogenic inputs. Positive europium anomalies across all sites reflected plagioclase retention under variable weathering conditions. Ecological risk assessment using the Potential Ecological Risk Index (PERI), indicated moderate risk, with Eu, Tb, Ho, Tm, and Lu contributing most, elements linked to electronic waste and industrial activity. Expansion of the Manaus Free Trade Zone has increased e-waste generation, much of it improperly discarded into rivers, contributing to REE accumulation. This study provides the first evaluation of REE fractionation and ecological risk in Negro River sediments during an extreme drought, establishing a geochemical baseline and underscoring the need for systematic monitoring and regulatory frameworks to mitigate REE-related risks in climate stressed Amazonian watersheds.
{"title":"Rare Earth Elements as Emerging Contaminants in Negro River Sediments During an Extreme Drought Event (Central Amazon)","authors":"Gabriela Santos Caldeira, Pedro Costa Evangelistaa, Mariana Melo Lage, Fernando Barboza Egreja Filho, Tereza Cristina Souza de Oliveira, Keila Cristina Aniceto, Rogério Ribeiro Marinho, Naziano Pantoja Filizola Junior, Caroline de Jesus Santos, Ednaldo Bras Severo, Cláudia Carvalhinho Windmoller","doi":"10.1016/j.envpol.2026.127707","DOIUrl":"https://doi.org/10.1016/j.envpol.2026.127707","url":null,"abstract":"Extreme climate events are intensifying in the Amazon Basin, with the 2023 drought marking the most severe on record in the Negro River, exposing extensive sediment banks and raising concerns about geochemical alterations in this acidic, organic-rich blackwater system. Rare earth elements (REEs), increasingly recognised as emerging contaminants and geochemical tracers, were analysed in surface and profile sediments from Anavilhanas Archipelago and from Manaus. Samples from Anavilhanas Archipelago exhibited low ΣREE concentrations and fractionation patterns consistent with natural mafic sources. In contrast, Manaus sediments, particularly those exposed to air, showed elevated ΣREE levels (up to 167.6 mg/kg), enhanced ΣLREE/ΣHREE ratios, and positive cerium anomalies, indicating oxidative processes and potential anthropogenic inputs. Positive europium anomalies across all sites reflected plagioclase retention under variable weathering conditions. Ecological risk assessment using the Potential Ecological Risk Index (PERI), indicated moderate risk, with Eu, Tb, Ho, Tm, and Lu contributing most, elements linked to electronic waste and industrial activity. Expansion of the Manaus Free Trade Zone has increased e-waste generation, much of it improperly discarded into rivers, contributing to REE accumulation. This study provides the first evaluation of REE fractionation and ecological risk in Negro River sediments during an extreme drought, establishing a geochemical baseline and underscoring the need for systematic monitoring and regulatory frameworks to mitigate REE-related risks in climate stressed Amazonian watersheds.","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"143 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2026-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146072570","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}
Pub Date : 2026-01-30DOI: 10.1016/j.envpol.2026.127744
Sakshi R. Tripathi, Pankaj A. Gorule, Marek Šmejkal, Vlastimil Stejskal, Filip Ložek, Alessandro Cau
{"title":"Chronic exposure to polyethylene and tire wear particles changes the associative behaviour in cyprinid fishes","authors":"Sakshi R. Tripathi, Pankaj A. Gorule, Marek Šmejkal, Vlastimil Stejskal, Filip Ložek, Alessandro Cau","doi":"10.1016/j.envpol.2026.127744","DOIUrl":"https://doi.org/10.1016/j.envpol.2026.127744","url":null,"abstract":"","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"117 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2026-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146072571","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}
Pub Date : 2026-01-29DOI: 10.1016/j.envpol.2026.127731
Sakirul Khan, Najmul Haider, Takaaki Yahiro, Sheikh Mohammad Fazle Akbar, Farzana Khan, Mohammad Nayeem Hasan, Mamun Al Mahtab, Takehiro Hashimoto, Kazunori Kimitsuki, Tetsuya Tachibana, Kozo Watanabe, Akira Nishizono
{"title":"Ambient PM2.5 exposure and increased dengue case fatality: a global multi-country analysis","authors":"Sakirul Khan, Najmul Haider, Takaaki Yahiro, Sheikh Mohammad Fazle Akbar, Farzana Khan, Mohammad Nayeem Hasan, Mamun Al Mahtab, Takehiro Hashimoto, Kazunori Kimitsuki, Tetsuya Tachibana, Kozo Watanabe, Akira Nishizono","doi":"10.1016/j.envpol.2026.127731","DOIUrl":"https://doi.org/10.1016/j.envpol.2026.127731","url":null,"abstract":"","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"29 1","pages":"127731"},"PeriodicalIF":8.9,"publicationDate":"2026-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146072572","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}
Pub Date : 2026-01-28DOI: 10.1016/j.envpol.2026.127742
Yutang Luo , Tianyi Zhang , Yaru Cao , Qiying Jian , Aolei Du , Jun Yan , Yanjun Li , Youxiang Xu , Guoyuan Zhu , Xiong Xiong , Chenxi Wu , Kai Zhang
Urban stormwater runoff is a major pathway for anthropogenic pollutants into aquatic ecosystems. Phthalate esters (PAEs), widely produced endocrine-disrupting plasticizers, readily enter the environment; however, their transport via stormwater and contribution to nearshore marine pollution remain largely overlooked. The stormwater system of Macao discharges directly to the sea, representing a potentially significant PAE pathway, yet systematic investigations on PAEs pollution in its aquatic environment are lacking. This study conducted the first comprehensive investigation on the occurrence and distribution of 16 PAEs congeners in six stormwater drainage channels (covering residential, industrial, and ecological functional zones) and four seawater sampling sites in Macao using GC-MS, aiming to characterize PAEs pollution, identify sources, and estimate annual fluxes. Results showed widespread PAEs contamination: Σ16PAEs in stormwater ranged from 1.51 × 102–3.35 × 104 ng/L (0.152–33.5 μg/L), and 89.1–858 ng/L in seawater. High levels of dimethoxyethyl phthalate (DMEP) were detected, revealing unique local pollution characteristics. Among stormwater sites, Σ16PAEs loads were significantly higher in residential/industrial areas than ecological areas, with distinct seasonal variations. Linear correlations between some stormwater and seawater PAEs concentrations may imply a potential source-sink relationship. Principal component analysis indicated non-point sources primarily from residential and industrial discharges. Importantly, pumping stations were innovatively identified as key dry-season PAEs sources. The annual average Σ16PAEs input from the stormwater system of Macao to nearshore waters was 4.31 × 10−3–9.5 kg. As the first systematic report on aquatic PAEs pollution of Macao, these findings fill the regional research gap, support targeted dry/wet season control measures, and provide a reference for small coastal cities.
{"title":"Occurrence and distribution of phthalate esters in stormwater runoff and coastal water receiving bodies, Macao, South China","authors":"Yutang Luo , Tianyi Zhang , Yaru Cao , Qiying Jian , Aolei Du , Jun Yan , Yanjun Li , Youxiang Xu , Guoyuan Zhu , Xiong Xiong , Chenxi Wu , Kai Zhang","doi":"10.1016/j.envpol.2026.127742","DOIUrl":"10.1016/j.envpol.2026.127742","url":null,"abstract":"<div><div>Urban stormwater runoff is a major pathway for anthropogenic pollutants into aquatic ecosystems. Phthalate esters (PAEs), widely produced endocrine-disrupting plasticizers, readily enter the environment; however, their transport via stormwater and contribution to nearshore marine pollution remain largely overlooked. The stormwater system of Macao discharges directly to the sea, representing a potentially significant PAE pathway, yet systematic investigations on PAEs pollution in its aquatic environment are lacking. This study conducted the first comprehensive investigation on the occurrence and distribution of 16 PAEs congeners in six stormwater drainage channels (covering residential, industrial, and ecological functional zones) and four seawater sampling sites in Macao using GC-MS, aiming to characterize PAEs pollution, identify sources, and estimate annual fluxes. Results showed widespread PAEs contamination: Σ<sub>16</sub>PAEs in stormwater ranged from 1.51 × 10<sup>2</sup>–3.35 × 10<sup>4</sup> ng/L (0.152–33.5 μg/L), and 89.1–858 ng/L in seawater. High levels of dimethoxyethyl phthalate (DMEP) were detected, revealing unique local pollution characteristics. Among stormwater sites, Σ<sub>16</sub>PAEs loads were significantly higher in residential/industrial areas than ecological areas, with distinct seasonal variations. Linear correlations between some stormwater and seawater PAEs concentrations may imply a potential source-sink relationship. Principal component analysis indicated non-point sources primarily from residential and industrial discharges. Importantly, pumping stations were innovatively identified as key dry-season PAEs sources. The annual average Σ<sub>16</sub>PAEs input from the stormwater system of Macao to nearshore waters was 4.31 × 10<sup>−3</sup>–9.5 kg. As the first systematic report on aquatic PAEs pollution of Macao, these findings fill the regional research gap, support targeted dry/wet season control measures, and provide a reference for small coastal cities.</div></div>","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"394 ","pages":"Article 127742"},"PeriodicalIF":7.3,"publicationDate":"2026-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146070146","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}
Pub Date : 2026-01-28DOI: 10.1016/j.envpol.2026.127739
Jingyi Hu, Wen-Xiong Wang
Lead (Pb), a ubiquitous environmental toxin, poses significant risks to central nervous system health, primarily by disrupting essential metal homeostasis in the brain. While epigenetic regulation and proteomic expression are significantly affected by Pb, its specific molecular impact on copper (Cu) redox states remains poorly understood. This study systematically investigated the molecular mechanisms underlying Pb-induced neurotoxicity in SH-SY5Y cells through integrated epigenomics and proteomics analysis. DNA methylation analysis revealed 141,357 differentially methylated regions (DMRs), primarily in CpG sites, with 62.6 % hypermethylated and 37.4 % hypomethylated. These DMRs were enriched in genes associated with critical processes such as metal ion binding, cell cycle regulation, and nervous system development. Promoter-specific methylation changes were notably pronounced, impacting pathways linked to neurodegenerative diseases, including Alzheimer's disease. Proteomic analysis identified 740 differentially expressed proteins (DEPs), with 366 upregulated and 374 downregulated in Pb-treated cells. Functional annotation revealed significant enrichment of DEPs in mitochondria, where Pb exposure disrupted processes related to oxidative phosphorylation, ion transport, and transmembrane processes. These proteomic changes aligned with the observed epigenetic modifications, reinforcing the role of Pb in impairing neuronal function via its effects on cellular energy metabolism and metal ion dynamics. Notably, Pb exposure disrupted Cu redox transitions between Cu(I) and Cu(II) as well as glutathione (GSH) activity, underscoring its impact on cellular metal homeostasis regulation and oxidative imbalance. In summary, this study provides a comprehensive view of how Pb exposure alters epigenetic and proteomic landscapes, disrupting key biological processes and pathways essential for neuronal health.
{"title":"DNA methylation-mediated alterations in Copper(I/II) redox equilibrium underlie lead-induced neurotoxicity.","authors":"Jingyi Hu, Wen-Xiong Wang","doi":"10.1016/j.envpol.2026.127739","DOIUrl":"10.1016/j.envpol.2026.127739","url":null,"abstract":"<p><p>Lead (Pb), a ubiquitous environmental toxin, poses significant risks to central nervous system health, primarily by disrupting essential metal homeostasis in the brain. While epigenetic regulation and proteomic expression are significantly affected by Pb, its specific molecular impact on copper (Cu) redox states remains poorly understood. This study systematically investigated the molecular mechanisms underlying Pb-induced neurotoxicity in SH-SY5Y cells through integrated epigenomics and proteomics analysis. DNA methylation analysis revealed 141,357 differentially methylated regions (DMRs), primarily in CpG sites, with 62.6 % hypermethylated and 37.4 % hypomethylated. These DMRs were enriched in genes associated with critical processes such as metal ion binding, cell cycle regulation, and nervous system development. Promoter-specific methylation changes were notably pronounced, impacting pathways linked to neurodegenerative diseases, including Alzheimer's disease. Proteomic analysis identified 740 differentially expressed proteins (DEPs), with 366 upregulated and 374 downregulated in Pb-treated cells. Functional annotation revealed significant enrichment of DEPs in mitochondria, where Pb exposure disrupted processes related to oxidative phosphorylation, ion transport, and transmembrane processes. These proteomic changes aligned with the observed epigenetic modifications, reinforcing the role of Pb in impairing neuronal function via its effects on cellular energy metabolism and metal ion dynamics. Notably, Pb exposure disrupted Cu redox transitions between Cu(I) and Cu(II) as well as glutathione (GSH) activity, underscoring its impact on cellular metal homeostasis regulation and oxidative imbalance. In summary, this study provides a comprehensive view of how Pb exposure alters epigenetic and proteomic landscapes, disrupting key biological processes and pathways essential for neuronal health.</p>","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":" ","pages":"127739"},"PeriodicalIF":7.3,"publicationDate":"2026-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146091561","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}
Pub Date : 2026-01-28DOI: 10.1016/j.envpol.2026.127738
Yoshiyasu Takefuji
AI misapplications are widespread in environmental research, often arising from limited understanding of machine learning assumptions and their alignment with complex exposure–outcome relationships. Motivated by Chen et al., who used marginal structural Cox models to study PM2.5 constituents and highlighted sensitivity to modeling choices, we use a public COPD mortality–air quality benchmark as a proxy to examine how feature selection strategies affect downstream performance. We compare Cox-based significance, Feature Agglomeration (FA), Highly Variable Gene Selection (HVGS), and Spearman's rank correlation, assessing each with a fixed Random Forest under cross-validation. Spearman consistently delivered the highest accuracy with 5 and 8 features, FA was competitive for compact sets, HVGS was moderate, and Cox-based selection underperformed—patterns consistent with nonlinearity, multicollinearity, and potential violations of proportional hazards. A hybrid workflow that combines unsupervised structure discovery with nonparametric screening produced more stable and reproducible feature sets, offering a pragmatic guardrail against common misapplications and a stronger foundation for subsequent flexible causal modeling. Public Python code supports reproducibility.
{"title":"Assumption-light feature discovery outperforms Cox-based selection for PM2.5 constituent analysis in an open benchmark","authors":"Yoshiyasu Takefuji","doi":"10.1016/j.envpol.2026.127738","DOIUrl":"10.1016/j.envpol.2026.127738","url":null,"abstract":"<div><div>AI misapplications are widespread in environmental research, often arising from limited understanding of machine learning assumptions and their alignment with complex exposure–outcome relationships. Motivated by Chen et al., who used marginal structural Cox models to study PM2.5 constituents and highlighted sensitivity to modeling choices, we use a public COPD mortality–air quality benchmark as a proxy to examine how feature selection strategies affect downstream performance. We compare Cox-based significance, Feature Agglomeration (FA), Highly Variable Gene Selection (HVGS), and Spearman's rank correlation, assessing each with a fixed Random Forest under cross-validation. Spearman consistently delivered the highest accuracy with 5 and 8 features, FA was competitive for compact sets, HVGS was moderate, and Cox-based selection underperformed—patterns consistent with nonlinearity, multicollinearity, and potential violations of proportional hazards. A hybrid workflow that combines unsupervised structure discovery with nonparametric screening produced more stable and reproducible feature sets, offering a pragmatic guardrail against common misapplications and a stronger foundation for subsequent flexible causal modeling. Public Python code supports reproducibility.</div></div>","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"394 ","pages":"Article 127738"},"PeriodicalIF":7.3,"publicationDate":"2026-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146076757","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}
Pub Date : 2026-01-27DOI: 10.1016/j.envpol.2026.127730
Hannah J. O'Toole , Anchaleena James , Nathifa Nasim , Dustin J. Hadley , Elizabeth J. Hale , Qing He , Keith J. Bein , Anthony Valenzuela , Tatu Rojalin , Brittany N. Dugger , Anthony S. Wexler , Pamela J. Lein , Randy P. Carney
Chronic exposure to traffic-related air pollution (TRAP) is linked to increased risk of neurodegenerative diseases, including Alzheimer disease (AD). Ultrafine particulate matter (UFPM) is a suspected driver of TRAP neurotoxicity, but its spatial interactions with AD pathology remain poorly defined. We investigated the distribution, composition, and pathological context of TRAP-derived UFPM in the hippocampus of TgF344-AD rats chronically exposed to TRAP or filtered air (FA) for 14 months. Using a multimodal imaging workflow that combines enhanced darkfield hyperspectral imaging (EDF-HSI) with confocal immunofluorescence for microglia (CD68/Iba1) and amyloid beta (Aβ) plaques (Thioflavin S), we mapped the localization and spectral properties of UFPM in situ. UFPM accumulation was elevated in TRAP-exposed females, suggesting sex-specific vulnerability in blood-brain barrier permeability or particle accumulation. Particles near plaques showed red-shifted spectral signatures, suggestive of biochemical transformation. Dimension reduction revealed clustering of particle spectra by TRAP exposure and plaque proximity. However, UFPM was rarely found within plaques or microglia, implying indirect neuroimmune modulation. These findings highlight a novel spatial and spectral imaging approach for characterizing environmental nanoparticle interactions in the brain and suggests chronic TRAP exposure may influence AD-related inflammation and pathology in a sex- and region-dependent manner in this rodent model.
{"title":"Spatial and spectral mapping of traffic-related nanoparticles in hippocampal subregions of an Alzheimer disease model","authors":"Hannah J. O'Toole , Anchaleena James , Nathifa Nasim , Dustin J. Hadley , Elizabeth J. Hale , Qing He , Keith J. Bein , Anthony Valenzuela , Tatu Rojalin , Brittany N. Dugger , Anthony S. Wexler , Pamela J. Lein , Randy P. Carney","doi":"10.1016/j.envpol.2026.127730","DOIUrl":"10.1016/j.envpol.2026.127730","url":null,"abstract":"<div><div>Chronic exposure to traffic-related air pollution (TRAP) is linked to increased risk of neurodegenerative diseases, including Alzheimer disease (AD). Ultrafine particulate matter (UFPM) is a suspected driver of TRAP neurotoxicity, but its spatial interactions with AD pathology remain poorly defined. We investigated the distribution, composition, and pathological context of TRAP-derived UFPM in the hippocampus of TgF344-AD rats chronically exposed to TRAP or filtered air (FA) for 14 months. Using a multimodal imaging workflow that combines enhanced darkfield hyperspectral imaging (EDF-HSI) with confocal immunofluorescence for microglia (CD68/Iba1) and amyloid beta (Aβ) plaques (Thioflavin S), we mapped the localization and spectral properties of UFPM <em>in situ</em>. UFPM accumulation was elevated in TRAP-exposed females, suggesting sex-specific vulnerability in blood-brain barrier permeability or particle accumulation. Particles near plaques showed red-shifted spectral signatures, suggestive of biochemical transformation. Dimension reduction revealed clustering of particle spectra by TRAP exposure and plaque proximity. However, UFPM was rarely found within plaques or microglia, implying indirect neuroimmune modulation. These findings highlight a novel spatial and spectral imaging approach for characterizing environmental nanoparticle interactions in the brain and suggests chronic TRAP exposure may influence AD-related inflammation and pathology in a sex- and region-dependent manner in this rodent model.</div></div>","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"393 ","pages":"Article 127730"},"PeriodicalIF":7.3,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146074975","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}
This study presents a comprehensive investigation into the occurrence, seasonal variations, and ecological risks of 484 contaminants of emerging concern (CECs) in the surface waters of the Yangtze River Delta. In winter, 209 CECs were detected, with industrial chemicals representing the most dominant category in terms of both concentration and proportion, underscoring industrial discharge as the primary source of pollution in the region. Significant seasonal shifts in contaminant composition were observed: industrial intermediates, surfactants, and antibiotics dominated in winter, whereas industrial intermediates, plasticizers, and herbicides prevailed in summer, reflecting the combined influence of climatic conditions and anthropogenic activities. Spatially, pollution hotspots varied dynamically with the seasons, concentrating in the highly industrialized Yangtze River basin during winter and shifting to the agriculturally intensive Taihu Lake basin in summer. Ecological risk assessment identified 18 high-risk substances, predominantly PPCPs and pesticides, among which the antifungal agent clotrimazole exhibited an extreme hazard quotient (HQ) exceeding 500. A core list of six compounds consistently posed high risks across both seasons. The risk evaluation further revealed pronounced species-specific sensitivity, with Daphnia magna being the most vulnerable, as well as notable seasonal variability, indicating that single-season assessments may underestimate the annual ecological risk. These findings provide a scientific basis for developing targeted region-, risk-, and season-specific management strategies for CECs in the Yangtze River Delta.
{"title":"Seasonal Dynamics, Risk Prioritization, and Management Implications for Industrial Chemicals, Pesticides, and PPCPs in the Yangtze River Delta","authors":"Ying Peng, Luhang She, Qiang Xu, Chenyang Sun, Jinzhi Ren, Yining Zhang, Ziqiang Guan, Xiaowei Zhang","doi":"10.1016/j.envpol.2026.127729","DOIUrl":"https://doi.org/10.1016/j.envpol.2026.127729","url":null,"abstract":"This study presents a comprehensive investigation into the occurrence, seasonal variations, and ecological risks of 484 contaminants of emerging concern (CECs) in the surface waters of the Yangtze River Delta. In winter, 209 CECs were detected, with industrial chemicals representing the most dominant category in terms of both concentration and proportion, underscoring industrial discharge as the primary source of pollution in the region. Significant seasonal shifts in contaminant composition were observed: industrial intermediates, surfactants, and antibiotics dominated in winter, whereas industrial intermediates, plasticizers, and herbicides prevailed in summer, reflecting the combined influence of climatic conditions and anthropogenic activities. Spatially, pollution hotspots varied dynamically with the seasons, concentrating in the highly industrialized Yangtze River basin during winter and shifting to the agriculturally intensive Taihu Lake basin in summer. Ecological risk assessment identified 18 high-risk substances, predominantly PPCPs and pesticides, among which the antifungal agent clotrimazole exhibited an extreme hazard quotient (HQ) exceeding 500. A core list of six compounds consistently posed high risks across both seasons. The risk evaluation further revealed pronounced species-specific sensitivity, with <ce:italic>Daphnia magna</ce:italic> being the most vulnerable, as well as notable seasonal variability, indicating that single-season assessments may underestimate the annual ecological risk. These findings provide a scientific basis for developing targeted region-, risk-, and season-specific management strategies for CECs in the Yangtze River Delta.","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"28 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2026-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146048041","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}
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