Journal of Environmental Management最新文献

{"title":"North-south inhomogeneous variations of methane emissions observed by TROPOMI over China.","authors":"Siqi Yu, Zhu Liu, Taochun Sun, Xinyu Dou, Duo Cui","doi":"10.1016/j.jenvman.2026.129542","DOIUrl":"10.1016/j.jenvman.2026.129542","url":null,"abstract":"<p><p>Accurate quantification of methane emissions is critical for global climate change mitigation, particularly given methane's high short-term warming potential. Here, we apply a divergence-driven method to TROPOMI satellite observations to derive high-resolution (0.25°× 0.25°) methane emission maps over China in 2019, independent of prior emission inventories. Our top-down estimate of China's total methane emissions in 2019 is 56.05 ± 14.01 Tg/a, consistent with the range of 40-70 Tg/a reported in previous studies. The emission distribution exhibits striking north-south asymmetry: northern regions (e.g., Xinjiang, Inner Mongolia) show higher emission intensities, dominated by energy-related sources, while southern regions have lower but more variable emissions linked to agricultural sources. Large emitters (emissions >5kg⋅km^-2⋅h^-1), though accounting for only 10% of total sources, contribute over 40% of national emissions, highlighting their disproportionate role in climate forcing. Emission fingerprints correlate with population density, indicating that anthropogenic activities drive stable, high-intensity emissions. These findings provide a framework for targeted mitigation strategies, emphasizing the need for region-specific policies to address China's diverse methane sources-insights that extend to global efforts to constrain methane's role in near-term warming.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"404 ","pages":"129542"},"PeriodicalIF":8.4,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147589105","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":"Evaluation of the occurrence and removal of phthalate esters in urban wastewater treatment facilities for risk mitigation strategies.","authors":"Yueyan Wen, Yumei Song, Ruiling Zhang, Qian Xu, Liying Bin, Pengran Guo, Bing Tang","doi":"10.1016/j.jenvman.2026.129492","DOIUrl":"10.1016/j.jenvman.2026.129492","url":null,"abstract":"<p><p>Due to the persistent harm of phthalate esters (PAEs) to the eco-environment, wastewater treatment plants (WWTPs) are crucial for regulating the environmental risks of PAEs in urban aquatic systems. Given the limited understanding of underlying driving mechanisms of regional and environmental factors on PAE occurrence and removal, this study investigated the occurrence and removal of PAEs in 5 WWTPs with different processes in the Guangdong-Hong Kong-Macao Greater Bay Area, incorporating dissolved organic matter (DOM) and microbial characteristics. Eight PAEs were detected in the 5 WWTPs, with total concentrations ranging from 0.33 to 46.67 μg/L in influent and 0.16-0.49 μg/L in effluent. Among them, diethyl phthalate, dibutyl phthalate (DBP), and bis(2-methoxyethyl) phthalate were the primary PAEs in the influent of the 5 WWTPs, collectively accounting for 67.43%-98.05% of the total concentrations of PAEs. Most WWTPs achieved removal efficiencies exceeding 94.00%, except for 52.09% in W5 due to lower influent concentrations. Overall, DOM concentration and components promoted the removal of PAEs, but only DOM components exhibited an inhibitory effect in the advanced treatment stage. Microorganisms promoted PAEs removal, especially anaerobic bacteria. The ecological risk of PAEs was reduced by 1.99-6443.04 times in the 5 WWTPs, among which W2 and W4 even decreased from high risks to low risks. No health risk was observed in the influents and effluents, despite a substantial reduction in non-carcinogenic and carcinogenic risks. DBP, bis(2-ethylhexyl) phthalate, and dioctyl phthalate were risk-driven compounds. The study provides new insights for mitigating the environmental risks of PAEs and endocrine disruptors in WWTP effluent.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"404 ","pages":"129492"},"PeriodicalIF":8.4,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147589128","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":"Spatial variability in soil carbon dynamics and related parameters in urbanization driven peri-urban region.","authors":"Meenakshi Chaurasia, Kajal Patel, Kottapalli Sreenivasa Rao, Prem Lal Uniyal","doi":"10.1016/j.jenvman.2026.129473","DOIUrl":"10.1016/j.jenvman.2026.129473","url":null,"abstract":"<p><p>Rapid expansion of urban areas dramatically alters land use, which thereby influences the soil organic carbon (SOC) stocks and processes in urban soil. However, research on the spatial patterns of soil carbon (C) dynamics associated with urban land use in developing countries is limited. The present study aimed to document the spatial variability in SOC and related parameters in a rapidly urbanizing peri-urban region of Ghaziabad. A multiscale approach was used to assess the influence of anthropogenic land use types on soil C dynamics. Soil characterization was done at three scales, i.e., patches, land use types viz. agriculture (AGR), residential (RES), park (PAR), industrial (IND), and bare land (BAR), and the peri-urban region. Result showed that the soil properties varied differently across the scales, increasing from smaller scale (within-patch) to wider scale (regional scale). Comparison among different land uses showed significant variation in soil parameters across the selected types. RES land use exhibited highest SOC (1.31%), total nitrogen (0.13%), and SOC density (55.6 Mg ha^-1), while PAR land use with favourable edaphic conditions showed highest microbial biomass C (MBC) (300 μg g^-1) and CO₂ efflux (11.3 CO₂-C mg g^-1 h^-1). Green spaces, i.e., PAR and RES had higher C mineralization activity in comparison to other land use types. Relatively disturbed IND land use had low SOC and related parameters, indicating a strong impact of anthropogenic disturbances. We concluded that adopting appropriate management activities in urban green spaces can reduce C efflux and enhance their C storage potential.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"404 ","pages":"129473"},"PeriodicalIF":8.4,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147615562","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":"Spatio-temporal modeling of PM_2.5 exposure in California's San Joaquin Valley using a community sensor network.","authors":"Kate DeMarsh, Alec M Chan-Golston, Zeyi Moo, Peizhi Hao, Yaying Wang, Kimberly Valle, Sandie Ha, Asa Bradman, Tim Tyner, Samuel Markolf, Xuan Zhang","doi":"10.1016/j.jenvman.2026.129540","DOIUrl":"10.1016/j.jenvman.2026.129540","url":null,"abstract":"<p><p>Persistent disparities in air pollution exposure remain a concern in California's San Joaquin Valley (SJV), yet the spatio-temporal dynamics of these inequities at the community scale remain poorly characterized. In this study, we integrated PM_2.5 measurements from 802 low-cost sensors collected during 2021-2023 into a Bayesian hierarchical spatio-temporal model to quantify how PM_2.5 exposure varies with socioeconomic and demographic composition across census tracts in the SJV. The model identified higher PM_2.5 exposures in census tracts with larger proportions of people of color, particularly Hispanic residents. Socioeconomic disadvantage, reflected by higher financial burden and unemployment, was also associated with elevated PM_2.5 levels. These disparities extended beyond current California Assembly Bill 617 (AB 617) boundaries that are used to guide the allocation of targeted monitoring and emission-reduction programs. By incorporating spatial and temporal random effects, the model also captured substantial residual variability not explained by observed covariates. Spatial random effects identified persistent hotspots along traffic corridors and urban centers, in contrast to cold spots in mountainous areas. This spatial heterogeneity further reveals that disparities among Hispanic-majority communities were not uniform, with urban tracts experiencing compounded burdens from local emission sources. Together, these results show that integrating community-level data with hierarchical modeling enables the identification of fine-scale environmental inequities and supports more equitable air-quality management.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"404 ","pages":"129540"},"PeriodicalIF":8.4,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147618263","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":"Managed environmental flows and tributary inflows differently stimulate bacterial production and change microeukaryote communities in a regulated river.","authors":"Lauren O'Brien, Nachshon Siboni, Jordan A Facey, Justin R Seymour, Simon M Mitrovic","doi":"10.1016/j.jenvman.2026.129520","DOIUrl":"10.1016/j.jenvman.2026.129520","url":null,"abstract":"<p><p>Globally, river regulation has greatly impacted the natural flow regime of many major rivers, resulting in detrimental changes to water chemistry and ecology. Environmental flows (e-flows) are legislated in many countries to improve the ecological health of regulated rivers. However, their impacts on the structure and function of the microbial food web and subsequent capture and transfer of terrestrial dissolved organic carbon (DOC) into riverine food webs, are poorly understood. To assess the impact of e-flows on instream bacterial carbon production (BCP) and microbial community composition, the Macquarie-Wambuul River in the Murray-Darling Basin of eastern Australia was sampled frequently during both a dam release e-flow and a high tributary inflow event. Although the e-flow did not increase measured DOC or nutrient concentrations in the water column, BCP increased immediately and there was a significant increase in the relative abundance and ITS gene count of the ciliate Tintinnidium fluviatile on the sixth day of the e-flow. In contrast, high tributary inflows significantly increased DOC and nitrite concentrations and stimulated BCP to rates four times higher than occurred during the e-flow as well as significantly increasing bacterial respiration and bacterial growth efficiency compared to base and e-flows. Changes in microbial communities during the tributary inflow indicated suppressed photosynthesis and increased heterotrophy and mixotrophy. These findings represent the first evidence that e-flows can stimulate instream BCP and demonstrate that e-flows and tributary inflows may provide food web support to regulated rivers via different heterotrophic energy pathways.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"404 ","pages":"129520"},"PeriodicalIF":8.4,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147618265","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":"How sustainable agricultural management practices mitigate greenhouse gas emissions in paddy fields.","authors":"Min Wang, Junjiang Chen, Matthias C Rillig, Josep Peñuelas, Stavros D Veresoglou","doi":"10.1016/j.jenvman.2026.129557","DOIUrl":"10.1016/j.jenvman.2026.129557","url":null,"abstract":"<p><p>Agriculture is a major emitter of greenhouse gases (GHG), requiring mitigation through optimized sustainable practices. Although sustainable management practices show promise, especially for significant sources, such as rice paddies, their comparative effectiveness remains unclear due to a lack of multi-treatment experiments conducted under consistent conditions. To address this issue, we conducted a large-scale field study over four growing seasons (i.e. two years) in two rice paddies approximately 500 m apart. The study evaluated the impact of five management practices, halting fertilization, no pesticides, no-tillage, mycorrhizal inoculations, and alternative cultivars, on N₂O, CO₂, and CH₄ emissions. We monitored twenty parallel bifactorial experiments, comprising a total of 640 field plots, and collected data on gas emissions exceeding 23,000 records. Our analysis focused on both fitted coefficients (slopes) and effect sizes across the 40 experiments. Mycorrhizal inoculation decreased equivalent CO₂ emissions by 667 mg m^-2 h^-1, while halting pesticide use increased them by 779 mg m^-2 h^-1. None of the other four sustainable agricultural practices reduced equivalent CO₂ emissions. Halting fertilization showed the greatest reduction in N₂O emissions (F = 8.07, P < 0.001), though this effect diminished over time. Variations in emission types were observed, assessed through the CH₄:CO₂ ratio, with no-tillage yielding the highest and mycorrhizal inoculum additions the lowest ratios (F = 3.1, P = 0.02). Our findings highlight the context-dependent nature of sustainable management practices' effects on greenhouse gas emissions, emphasizing the importance of AMF in mitigating climate change and the need for in situ greenhouse-gas-emission measurements when assessing agricultural management strategies.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"404 ","pages":"129557"},"PeriodicalIF":8.4,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147618282","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":"Phosphogypsum coupled enzyme-induced calcium carbonate precipitation for soil stabilization: Mechanical performance and sustainable application.","authors":"Lun Zhang, Yun Dai, Zhenyao Xia, Jun Wu, Zhien Zhu, Yunkang Rao, Hongqiang Shi, Chao Kang, Rui Xiang, Hongwei Guo, Hai Xiao","doi":"10.1016/j.jenvman.2026.129553","DOIUrl":"10.1016/j.jenvman.2026.129553","url":null,"abstract":"<p><p>Enzyme-induced carbonate precipitation (EICP) has emerged as a promising bioremediation technique for improving soil quality. However, its widespread application is constrained by reliance on expensive calcium sources (e.g., CaCl₂), which limits economic feasibility. To address this limitation, phosphogypsum (PG), a calcium sulfate-rich industrial byproduct from phosphate manufacturing, was introduced as an alternative calcium source to develop a cost-effective EICP system while achieving waste valorization. The synergistic mechanisms governing EICP‒PG interactions were investigated through a comprehensive experimental program focused on examining the effects on the mechanical and ecological performance of soil. Mechanical, microstructural, and biological characterization was conducted after 7 days of curing through unconfined compressive strength (UCS), scanning electron microscopy (SEM), energy dispersive spectroscopy (EDS), and vegetation growth was also assessed to evaluate the influences of PG and EICP treatment on germination and early-stage vegetation development. PG-only treated specimens exhibited UCS values of 48.8-86.58 kPa. Conversely, the synergistic EICP-PG treatment using a mechanical premixing method yielded enhanced mechanical performance across all tested urea concentrations (0.5 to 2.0 mol/L). The UCS of the treated soil increased significantly, achieving an overall range of 77.94 to 134.34 kPa (representing improvements of 21.83% to 110.00%). Polynomial regression models were developed to quantify the relationships among urea concentration, PG content, and soil strength, demonstrating high predictive accuracy. Microstructural analysis revealed that CaCO₃ crystals generated by formed interconnected networks with PG particles, resulting in a dual-cementation mechanism that substantially increased soil matrix integrity. Ecological assessments indicated that ryegrass growth was optimized under moderate treatment conditions (1.0 mol/L urea +32% PG), highlighting a favorable balance between mechanical reinforcement and biological compatibility. Overall, this study demonstrates the feasibility of utilizing industrial waste streams in bio-cementation applications and provides a sustainable strategy, thereby advancing resource-efficient and environmentally responsible geotechnical engineering practices.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"404 ","pages":"129553"},"PeriodicalIF":8.4,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147621440","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 on the emission characteristics of NO and SO₂ in the sewage sludge char co-combustion with biomass.","authors":"Kuan Xu, Shuanghui Deng, Kelei Zheng, Bin Liu, Zhong Xia, Xuebin Wang, Houzhang Tan, Xiangyu Zhang, Zhihua Du","doi":"10.1016/j.jenvman.2026.129609","DOIUrl":"10.1016/j.jenvman.2026.129609","url":null,"abstract":"<p><p>The emission of nitrogen oxides (NO_x) and sulfur dioxide (SO₂) during the combustion of fuels remains a critical environmental concern. This work systematically examined the emission characteristics of NO and SO₂ in sewage sludge (SS) char (SC) co-combustion with corn straw (CS) at the different blending ratios and combustion temperatures. The novelty of this work is the detailed investigation of the co-combustion emissions of NO and SO₂, considering various blending ratios of SC and CS and combustion temperatures. This work advances previous research by focusing on the synergistic effects of SC and CS blends, offering cleaner energy conversion by reducing NO_x and SO₂ emissions more effectively than individual combustion of these fuels. The combustion tests were conducted using a tubular furnace system, where the emission concentrations of NO and SO₂ in the flue gas were measured in real-time. The results revealed that as the proportion of CS increased, the NO emissions increased while the SO₂ emissions decreased, demonstrating a clear synergistic effect that reduced emissions compared with the theoretical calculated values. Combustion temperature also significantly influenced the emissions, with higher temperatures leading to an increase in NO emission but a decrease in SO₂ emission in some cases. Overall, this work offers insights into optimizing the co-combustion process of SC and CS for cleaner energy production, contributing to the reduction of combustion-related air pollutants and enhancing the sustainable use of SS and agricultural biomass as renewable energy sources.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"404 ","pages":"129609"},"PeriodicalIF":8.4,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147643501","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":"Natural disasters and human migration in the United States: Insights from automated machine learning and explainable AI","authors":"Xiang Li ,&nbsp;Yi Qiang ,&nbsp;Xiao Huang ,&nbsp;Lei Zou ,&nbsp;Heng Cai","doi":"10.1016/j.jenvman.2026.129796","DOIUrl":"10.1016/j.jenvman.2026.129796","url":null,"abstract":"<div><div>The growing threats of natural disasters influence human migration at various spatio-temporal scales. This study examines how the four major disaster types (i.e., floods, hurricanes, wildfires, and tornadoes) relate to human migration in the contiguous United States (CONUS) from 2000 to 2020. Utilizing statistical and machine learning methods, we quantify spatial and temporal variations in migration patterns in relation to disaster impacts while controlling for socio-economic and environmental variables. Results indicate that counties experiencing higher disaster impacts consistently show lower average net migration rates (NMR), with increased disaster frequency or damage often correlating with reduced migration rates. Using an automated machine learning (AutoML) framework, we developed predictive models that can explain 59% to 72% of the variance in county-level NMR, significantly outperforming benchmark linear regression models. SHapley Additive exPlanations (SHAP) values were used to assess the contribution of disaster and socio-economic variables to model predictions. Although socio-economic factors remain the dominant predictors, hurricanes, floods, and wildfires showed substantial associations with migration patterns over the two decades. Overall, this study demonstrates the value of explainable AI in capturing the complex dynamics between natural disasters and human migration, offering insights into how disasters and socio-economic factors are jointly associated with population movement.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"406 ","pages":"Article 129796"},"PeriodicalIF":8.4,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147758919","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":"Industrialization-associated benthic enrichment of organophosphate esters in marine capture species from the northern South China Sea","authors":"Changliang Ke ,&nbsp;Qiannan Liang ,&nbsp;Yingxia Zhang ,&nbsp;Qi Liu ,&nbsp;Ke Huang ,&nbsp;Huaxue Liu ,&nbsp;Yang-Guang Gu","doi":"10.1016/j.jenvman.2026.129786","DOIUrl":"10.1016/j.jenvman.2026.129786","url":null,"abstract":"<div><div>Organophosphate esters (OPEs) are emerging contaminants of increasing concern due to their widespread use, environmental persistence, and potential toxicity. However, large-scale assessments of OPEs bioaccumulation in marine food webs and associated human health risks remain limited. In this study, ten OPEs were quantified in commercially important marine capture species collected from 25 representative bays along the Guangdong coast, northern South China Sea. The concentrations of ∑₁₀OPEs ranged from 1.99 to 45.68 ng/g dw, with a mean value of 7.61 ± 6.12 ng/g dw. The concentrations of OPEs exhibited pronounced spatial heterogeneity, with elevated levels observed in highly industrialized and urbanized regions, particularly within the Pearl River Delta. Demersal species consistently showed higher OPEs burdens than pelagic species, highlighting the importance of benthic enrichment and sediment–biota interactions. Composition profiles indicated the dominance of chlorinated and alkyl OPEs, reflecting industrial emission sources. Dietary exposure and human health risks were evaluated using Monte Carlo simulation, accounting for variability and uncertainty in consumption rates and contaminant concentrations. Probabilistic risk assessment suggested generally low non-carcinogenic and carcinogenic risks for the general population, with TTHQ values consistently below 1 and carcinogenic risks (CR) predominantly within the range of 10⁻⁶–10⁻⁵, although higher exposure probabilities were identified for high seafood consumers. This province-scale investigation provides a comprehensive understanding of OPEs contamination patterns, benthic accumulation mechanisms, and associated dietary risks, offering critical insights for pollution control and seafood safety management in industrialized coastal regions.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"406 ","pages":"Article 129786"},"PeriodicalIF":8.4,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147758942","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}