Environmental Pollution最新文献

{"title":"Source orientation, environmental fate, and risks of antibiotics in the surface water of the largest sediment-laden river","authors":"Lu Liu ,&nbsp;Linfang Wang ,&nbsp;Kuo Pang ,&nbsp;Shuangrao Ma ,&nbsp;Yue Liu ,&nbsp;Jing Zhao ,&nbsp;Ruimin Liu ,&nbsp;Xinghui Xia","doi":"10.1016/j.envpol.2025.126363","DOIUrl":"10.1016/j.envpol.2025.126363","url":null,"abstract":"<div><div>Antibiotics present a more complex pollution profile in large rivers, particularly in suspended sediment-laden flows. This study quantified 25 antibiotics in surface water samples from the whole sediment-laden Yellow River. A new comprehensive prioritization index (<em>CPI</em>) was developed to identify priority risk control regions. The concentrations of the detected antibiotics ranged from 0.670 to 232 ng/L (mean: 9.62 ng/L), with the highest mean concentration observed for tetracyclines (TCs) at 20.2 ng/L. The most prominent antibiotic pollution was observed in the midstream region, with mean concentrations reaching 251 ng/L. Three SEMs were constructed for three antibiotic categories, with 75.6 % of the variation explained for SAs and CAs. Suspended particulate matter (SPM) significantly influences the environmental fate of antibiotics directly, negatively affecting TCs and QNs (λ = −0.302) but positively impacting SAs and CAs (λ = 0.475). Source apportionment precisely revealed that human sources in the midstream region and animal sources downstream contributed 80.75 % and 71.55 %, respectively. Although more than 85 % of the risk values were less than 0.1, the midstream region was identified as the priority control region (<em>CPI</em>_<em>TOX</em> &gt;0.01). In particular, OFL, CTC, and ENO from human sources were the main contributors in the midstream region. This study elucidates antibiotic fate and risks in the whole sediment-laden Yellow River, providing a scientific basis for assessing pollution in other large rivers.</div></div>","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"375 ","pages":"Article 126363"},"PeriodicalIF":7.6,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143901443","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-based prediction of ambient CO2 and CH4 concentrations with high temporal resolution in Seoul metropolitan area","authors":"Seongjun Park, Kwang-Joo Moon, Hyo-Jin Eom, Seung-Muk Yi, Youngkwon Kim, Moonkyung Kim, Donghyun Rim, Young Su Lee","doi":"10.1016/j.envpol.2025.126362","DOIUrl":"https://doi.org/10.1016/j.envpol.2025.126362","url":null,"abstract":"Machine learning has the potential to support the growing need for high-resolution greenhouse gas monitoring in urban and industrial environments, where deploying extensive sensor networks is often limited by cost and operational challenges. This study presents a novel approach for estimating greenhouse gas (GHG) concentrations using routinely collected air quality and meteorological data from existing monitoring stations. Focusing on the Seoul metropolitan area, we developed and evaluated three machine learning models - Random Forest, Long Short-Term Memory (LSTM), and an ensemble learning approach - to predict CO₂ and CH₄ concentrations without relying on additional GHG monitoring equipment. Among these, the ensemble learning model outperformed the individual models, consistently achieving lower error metrics, even in data-limited scenarios. Feature importance analysis identifies NO₂, CO, O₃, and temperature as key predictors of CO₂ and CH₄ level variations, highlighting the influence of combustion-related pollutants and photochemical processes. Cross-validation results confirm the model’s out-of-sample capabilities; however, local factors, such as traffic density, industrial activities, and meteorology, can affect performance. Consequently, model retraining or transfer learning may be required when applying the model to new locations with comparable emission profiles or atmospheric conditions. These findings emphasize the importance of localized context in model application while also demonstrating the broader applicability of the approach. By utilizing data already available through urban monitoring networks, this study offers a scalable and cost-effective strategy to support high-resolution GHG monitoring and inform targeted climate policies in complex urban-industrial regions.","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"13 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143897486","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":"Potential risks and hazards posed by the pressure of pharmaceuticals and personal care products on water treatment plants","authors":"Yang Gao, Chenhui Yuan, Shenghua Cheng, Jing Sun, Shaohu Ouyang, Wenjing Xue, Wei Zhang, Lean Zhou, Jinting Wang, Shiquan Sun","doi":"10.1016/j.envpol.2025.126344","DOIUrl":"https://doi.org/10.1016/j.envpol.2025.126344","url":null,"abstract":"Pharmaceuticals and personal care products (PPCPs) are widely used in various industrial and commercial products, contributing to their substantial presence in the environment. In recent years, numerous studies have focused on the environmental behavior, toxicity, and removal approaches of PPCPs. Nevertheless, few studies systematically summarized the current understanding of these issues and provided suggestions and comments for future research directions. In this review, the classification and detection of PPCPs that are useful for their source, distribution, and occurrence are discussed. Moreover, this review highlights the environmental behavior, biological toxicity, and potential risk of PPCPs after entering the environment. Furthermore, we summarized the removal methods and efficiency of PPCPs and evaluated the inadequacies of current sewage treatment facilities in addressing emerging pollutants. Given the widespread application and complex component of PPCPs, they can potentially threaten water resource safety and human health risks, future research should focus on the following: (1) establishing advanced artificial intelligence statistical analysis and the detection and quantification technologies of PPCPs to more precisely predict their behavior and fate in the environment; (2) evaluating the long-term biological toxicity and human risk effect of PPCPs in terrestrial and aqueous system; and (3) developing new sewage treatment facilities and technologies to remove PPCPs from multiple environmental media.","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"70 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143897922","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":"Assessment of Seasonal Variations in Antibiotic Resistance Genes and Microbial Communities in Sewage Treatment Plants for Public Health Monitoring","authors":"Abhishek Keer, Yukti Oza, Dattatray Mongad, Dinesh Ramakrishnan, Dhiraj Dhotre, Abdelfattah Ahmed, Alimuddin Zumla, Yogesh Shouche, Avinash Sharma","doi":"10.1016/j.envpol.2025.126367","DOIUrl":"https://doi.org/10.1016/j.envpol.2025.126367","url":null,"abstract":"The spread of antimicrobial resistance (AMR) around the globe, especially in the urban cities with high population, is a major concern. Therefore, the current study aims at identifying antibiotic resistant bacteria, microbial community compositions and the quantification of antimicrobial resistant genes from six sewage treatment plants (STPs) across Pune city in Maharashtra, India. A total of 106 isolates obtained were tested against six antibiotics in which the highest resistance was observed against trimethoprim (24.53%). The qPCR assays of seven antibiotic resistance genes revealed abundance of <em>bla</em>_{<em>imp-1</em>} and <em>mecA</em> genes in the summer and monsoon seasons followed by <em>bla</em>_{<em>NDM-1</em>} gene in the summer and winter seasons. . The alpha diversity indices depicted highest microbial diversity of inlet samples during winter, followed by inlet samples during the summer and monsoon seasons. Comparative analysis revealed <em>Bifidobacterium</em> (51%), <em>Pseudomonas</em> (28.7%) and <em>Zoogloea</em> (17.6%) as the most abundant genera in the inlet samples during the summer, monsoon and winter seasons respectively while <em>Acinetobacter</em> (31%) and <em>Flavobacterium</em> (23% in winter and 18.2% in summer) dominated the outlet samples. The co-network analysis revealed positive and negative interactions in the winter and monsoon but only positive interactions in the summer season. Venn diagrams showed higher abundance of ASVs in the outlet samples than the inlet. The top genera correlated exactly opposite with the pH compared to BOD and COD. PICRUSt2-based functional prediction revealed a higher abundance of methicillin resistance, β-lactamase resistance and multidrug resistance genes in inlet samples while chloramphenicol resistance was found higher in outlet samples. Further, we observed that potential pathogens causing infectious disease such as pertussis, shigellosis and tuberculosis were present in all three seasons.","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"44 1","pages":"126367"},"PeriodicalIF":8.9,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143901451","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":"Transport of antibiotic resistance genes in the landfill plume: Experiment and numerical modeling","authors":"Xin Gao ,&nbsp;Dongsheng Shen ,&nbsp;Yuyang Long ,&nbsp;Cai Hui ,&nbsp;Jiali Shentu ,&nbsp;Li Lu ,&nbsp;Yuqin Mao ,&nbsp;Shengqi Qi","doi":"10.1016/j.envpol.2025.126357","DOIUrl":"10.1016/j.envpol.2025.126357","url":null,"abstract":"<div><div>Antibiotic resistance genes (ARGs) in the landfill site would potentially seep into groundwater by leachate infiltration, which poses great threat of ARGs dissemination through groundwater flow. However, the transport characteristics of ARGs in the landfill plume are still unclear, impeding the risk management and remediation of landfill sites. This study carried out a series of column experiments to investigate the transport of various ARGs in the landfill plume and its influencing factors. Besides, a numerical model was also developed to simulate the transport of ARGs in the porous media, which could determine the attachment and decay rates of ARGs in various scenarios. Experimental results showed that high contents of organic matter and corresponding antibiotics in the landfill plume promoted the transport of antibiotic-resistant bacteria (ARB) and reduced the decay rates of intracellular ARGs (iARGs) in the porous media. Inorganic ions such as Cl⁻ and SO₄²⁻ inhibited the mobility of ARB, while they had little influence on iARGs decay. Extracellular ARGs (eARGs) in plasmids exhibited higher decay rate in pore water, leading to shorter transport distance in porous media. In the landfill plume, <em>sul1</em> had higher mobility than <em>aadA</em> and <em>ermB</em>, which was tightly correlated with its lower decay rate in groundwater and the smaller bacterial host. The decrease of particle size greatly inhibited the transport of ARGs in porous media due to the attachment of ARB on sand surface, while the attached ARGs would easily detach from sand surface during background water flushing. This study could guide the accurate risk assessment of ARGs in the landfill plume as well as the optimization of management strategy for landfill site.</div></div>","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"375 ","pages":"Article 126357"},"PeriodicalIF":7.6,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143897481","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":"Antibiotic transport requires a renewed focus on baseflow as a critical non-point source pathway","authors":"Hui Xie, Meiqi Shang, Jianwei Dong, Yunliang Li, Nengsheng Wan, Zhuyang Xiong, Xijun Lai","doi":"10.1016/j.envpol.2025.126355","DOIUrl":"https://doi.org/10.1016/j.envpol.2025.126355","url":null,"abstract":"Current research predominantly assumes that riverine antibiotic loads primarily derive from elevated surface runoff. However, the significance of baseflow is largely overlooked due to a lack of quantitative estimation and mechanistic understanding. This study analyzed the role of baseflow on transporting tetracyclines (TCs) from non-point sources in an agricultural catchment. We found that baseflow load accounted for ∼40% (39.8% annually and 45.8% monthly) of the riverine load of TCs. The threshold effect of baseflow index indicates that baseflow dominates the low-level but ongoing loading of TCs for 94.8% of the time in a year. Baseflow yield of TCs decreased with increasing drainage area size but showed no clear pattern across source input gradients, suggesting that baseflow loading of TCs is primarily transport-limited. Export regimes of riverine and baseflow TCs registered chemodynamic pattern. Baseflow exhibited a stronger flushing pattern for tetracycline and chlorotetracycline compared to quickflow due to pool mass, hydrological transport, and biogeochemical processes in the subsurface environment. Our results highlight that baseflow is a chronic pathway that constantly transports considerable TCs to receiving rivers and significantly influence TCs export behaviors. Management and control of antibiotic pollution at the catchment scale require mediating surface and subsurface transport mechanisms and limiting sources.","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"70 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143893569","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":"Double the trouble: High levels of both synthetic pesticides and copper in vineyard soils","authors":"Elias Barmettler, Marcel G.A. van der Heijden, Andrea Rösch, Lina Egli-Künzler, Pierre-Henri Dubuis, Kathleen A. Mackie-Haas, Stefanie Lutz, Thomas D. Bucheli","doi":"10.1016/j.envpol.2025.126356","DOIUrl":"https://doi.org/10.1016/j.envpol.2025.126356","url":null,"abstract":"The widespread use of pesticides raises concerns about their impact on soil health. Although vineyard soils are strongly exposed to both, synthetic pesticides and copper, a systematic, detailed, and joint assessment has been lacking. In our study we measured copper and 146 synthetic pesticides in 62 organic and conventionally managed vineyards at high sensitivity.Up to 60 different pesticides were detected per vineyard. Total pesticide concentrations were almost 13 times higher under conventional compared to organic management. Total copper contamination was high overall with a mean of 371 mg/kg, and no difference between organic and conventional vineyards was found. Pesticide levels declined with increasing years since conversion to organic farming. However, even after 20 years of organic farming, up to 32 pesticides could still be found. Several pesticides showed far higher persistence in soil than expected based on their half-lives. Compared to other land uses, pesticide and copper contamination was clearly higher. Our risk assessment revealed that 50% of the studied vineyard soils reached pesticide and copper concentrations potentially harmful to soil organisms and only 10% of vineyard soils were not at risk from either of them. This underscores the urgent need for further research and policy intervention to address these environmental risks.","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"10 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143897551","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":"Single and joint associations of exposure to polycyclic aromatic hydrocarbons with hypertensive disorders of pregnancy: a nested case-control study","authors":"Rui Yu, Cheng Chen, Mingyu Deng, Nian Wu, Yanling Xiao, Songlin An, Lin Tao, Xingting Zheng, Jing Yang, Zhongmei Hu, Pei Xu, Xingyan Liu, Shimin Xiong, Yan Xie, Rong Zeng, Xubo Shen, Yijun Liu, Yuanzhong Zhou","doi":"10.1016/j.envpol.2025.126275","DOIUrl":"https://doi.org/10.1016/j.envpol.2025.126275","url":null,"abstract":"Polycyclic aromatic hydrocarbons (PAHs) are ubiquitous organic pollutants frequently detected in women of childbearing age. Prenatal PAH exposure has been associated with adverse pregnancy outcomes. However, their impact on hypertensive disorders of pregnancy (HDP) remains unclear. To address this gap, we analyzed urinary levels of 10 PAH metabolites in 516 pregnant women from the Zunyi Birth Cohort using high-performance gas chromatography-tandem mass spectrometry. Multivariate logistic regression assessed associations between individual PAH metabolites and HDP, while Bayesian Kernel Machine Regression (BKMR) was used to evaluate joint and individual effects of PAH mixtures. Weighted quantile sum (WQS) regression and quantile g-computation (QGC) models were applied to estimate the combined exposure effects on HDP risk. Among the 10 PAH metabolites, 2-OH-FLU had the highest detection rate (86.82%), while 4-OH-PHE had the lowest (58.91%). Individual exposure analysis revealed significant associations between HDP risk and 1-OH-NAP (odds ratio [OR]: 1.268; 95% confidence interval [CI]: 1.083–1.484) and 4-OH-PHE (OR: 1.666; 95% CI: 1.212–2.290) concentrations. The BKMR model indicated a positive overall association between PAH mixtures and HDP, with 1-OH-NAP and 4-OH-PHE showing the strongest upward trends. In WQS regression, these two metabolites contributed the most significant positive weights to HDP risk. Similarly, the QGC model revealed a significant association (OR: 1.375; 95% CI: 1.019–1.855) between a quartile increase in PAH mixtures and elevated HDP risk. Our findings indicate that prenatal PAH exposure is associated with increased HDP risk. Further studies are needed to confirm these associations and elucidate underlying biological mechanisms.","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"1 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143893795","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 retention, absorption, transport, and enrichment of microplastics in mangrove sediment complex system","authors":"Xiuqiong Liang ,&nbsp;Chunxiang Liu ,&nbsp;Haoyu Wang ,&nbsp;Haonan Li ,&nbsp;Jin Luo ,&nbsp;Gang Luo ,&nbsp;Wei Hu ,&nbsp;Wenlu Lan ,&nbsp;Leishi Wu ,&nbsp;Sheng Fang ,&nbsp;Yan Tian ,&nbsp;Xiang Sun","doi":"10.1016/j.envpol.2025.126354","DOIUrl":"10.1016/j.envpol.2025.126354","url":null,"abstract":"<div><div>Mangrove areas are the major sink of pollutants such as microplastics (MPs, less than 5000 μm in diameter). The spatial retention, transport, and accumulation of microplastics (MPs) within the complex mangrove sediment system has become a hotspot in the field of emerging contaminants. In this study, the Xiaoguansha mangrove forest in Guangxi Province, China, was selected as a representative case to investigate the horizontal and vertical distribution of MPs in sediments. To elucidate the processes of MP retention, accumulation, and their downward transport into deeper soil layers, a combination of statistical methods was employed, including the Kruskal-Wallis one-way ANOVA, correlation analysis, regression fitting, and Structural Equation Model (SEM). The results showed that: (1) The average abundance of MPs in the mangrove area (2414.0 ± 1570.8 items/kg) was significantly higher—by a factor of 2.24—than that in the tidal flat areas, suggesting that mangroves play a vital role in seawater purification.(2) The MPs in the smaller size range (0–1000 μm) tend to accumulate more readily in mangrove areas compared to larger particles (1000–5000 μm), implying a heightened potential risk to environmental and ecosystem health.(3) With the increase in soil depth, exhibited an exponentially decreasing trend, primarily due to the well-developed root systems of mangroves and the physicochemical adsorption capacity of the surrounding sediments. (4) Spatial retention and sediment absorption contributed 67.2 % and 32.8 %, respectively, to the enrichment of MPs in mangrove areas. The SEM analysis confirmed that the distribution of MPs was primarily governed by extensive root system and dense physical structure of mangrove. In addition, adsorption effects driven by the fundamental physicochemical properties of the sediments also contributed to MP retention. The findings contribute to a deeper understanding of the behavior of MPs in the mangrove-covered water-sediment system.</div></div>","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"375 ","pages":"Article 126354"},"PeriodicalIF":7.6,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143897550","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-driven analysis of soil microplastic distribution in the Bang Pakong Watershed, Thailand","authors":"Ugochukwu Ihezukwu ,&nbsp;Chawalit Charoenpong ,&nbsp;Srilert Chotpantarat","doi":"10.1016/j.envpol.2025.126346","DOIUrl":"10.1016/j.envpol.2025.126346","url":null,"abstract":"<div><div>Microplastics (MPs) have emerged as a pervasive environmental pollutant due to their persistence and global distribution. However, MPs relationships with covariables remain largely unexplored. This study investigates factors influencing MPs occurrence and distribution in the Bang Pakong Watershed, using 40 soil samples across various land-use types and assess machine learning for their spatial distribution. Samples were sorted into three sizes: 1.2 μm–500 μm, 500 μm–1 mm, and 1–2 mm and analyzed using zinc chloride (ZnCl₂) density separation, hydrogen peroxide (H₂O₂) digestion, and Fourier transform infrared spectroscopy (FTIR) for polymer identification. Results reveal a significant MPs presence, averaging 1121 ± 2465.6 items/kg dry soil, with particles &lt;0.5 mm (49 %), fragments (74.2 %), transparent (49 %), and polypropylene (PP) (52 %) predominating. Urban soils contained highest concentrations (67.6 %) at 2331 ± 4114 items/kg, followed by irrigation (555 ± 571), agricultural (552 ± 432), and forest soils (417 ± 365). Predictive modeling incorporated 14 variables, including soil properties and environmental factors. The Random Forest model (RF), optimized for complex non-linear relationships and high data variability, shows higher predictive accuracy (R² = 0.82), with silt content and distance-to-river as key variables. Spatial distribution analysis, developed on model predictions and inverse distance weighting (IDW), demonstrates a concentration gradient increasing southwestward toward the Bang Pakong River. Flood susceptibility and drainage density analysis correlate with interpolation results, suggesting that these factors influence MPs transport and deposition processes. These results refine MPs management, emphasizing urbanization and hydrological factors as drivers for distribution, necessitating targeted mitigation in high-risk areas.</div></div>","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"375 ","pages":"Article 126346"},"PeriodicalIF":7.6,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143897549","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}