Journal of contaminant hydrology最新文献

{"title":"Modeling of hydrogeochemical processes influencing uranium migration in anthropized arid environments with application to the Teloua aquifer","authors":"L. De Windt ,&nbsp;P. Grizard ,&nbsp;C. Besançon ,&nbsp;F. Assalack ,&nbsp;I. Djibo Hama ,&nbsp;P.E. Reiller ,&nbsp;N. Seigneur ,&nbsp;M. Descostes","doi":"10.1016/j.jconhyd.2025.104507","DOIUrl":"10.1016/j.jconhyd.2025.104507","url":null,"abstract":"<div><div>Sandstone-hosted uranium is mined in the Sahel regions of Niger. The Teloua aquifer is located beneath the ore-processing facilities of one such former mine, COMINAK. The pores of the sandstone bedrock are partially filled by tosudite, a clay with sorption capacities. The local groundwater presents a strong oxidizing signature and very low water recharge. This study aims to determine the geochemical baseline of anthropogenic activity for uranium under such extreme conditions. The major and trace elements of both the contaminated and the pristine local groundwaters were sampled and analyzed to develop geochemical and reactive transport models. Kd distribution coefficients were calculated a posteriori from the mechanistic simulations. The entire water chemistry, with large variations in calcium, carbonate and sulfate concentrations, had to be taken into account to properly simulate the speciation and migration of U(VI) in the aquifer locally affected by the mining activities. U(VI) sorption significantly decreases during the propagation of the contaminant plume, due to the formation of Ca_nUO₂(CO₃)₃^(4-2n)- complexes that were clearly demonstrated by TRLFS acquisition. The sorption of UO₂(CO₃)_n⁽²⁻²ⁿ⁾ can play a key role in the immobilization of U(VI). The mitigating factors for U(VI) are sorption on clay and the dispersion/dilution of the contaminated source terms within the groundwater, in which the strong ternary complexes are less important. There should be an efficient immobilization of fixed anthropic uranium by natural attenuation once the contaminant source terms have become depleted.</div></div>","PeriodicalId":15530,"journal":{"name":"Journal of contaminant hydrology","volume":"269 ","pages":"Article 104507"},"PeriodicalIF":3.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143065996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatiotemporal distribution and ecological hazards of microplastic pollution in soil water resources around a wastewater treatment plant and municipal solid waste site","authors":"Jaswant Singh ,&nbsp;Brijesh Kumar Yadav ,&nbsp;Stefan Krause","doi":"10.1016/j.jconhyd.2025.104515","DOIUrl":"10.1016/j.jconhyd.2025.104515","url":null,"abstract":"<div><div>Research into the relative contributions of microplastic (MP) sources to aquatic and terrestrial environments is essential for understanding their fate and transport which is a prerequisite for designing effective pollution management strategies. This study explores the spatial distribution, seasonal variations, and ecological hazards of MPs in surface water, groundwater, soil, sediment, and leachate matrices adjacent to municipal solid waste (MSW) and sewage treatment plant (STP) sites in Northern India. Elevated MP concentrations were observed in leachate (283.22 ± 15.78 particles/L; pre-monsoon), whereas groundwater exhibited significantly reduced levels (10.75 ± 2.04 particles/L; pre-monsoon), indicating the attenuation efficiency and filtration potential of the subsurface zone. Seasonal variations revealed a dilution effect from monsoonal runoff, reducing MP concentrations. The identified MP shapes were predominantly fibers, followed by fragments, with transparent particles being the most common. The size distribution was dominated by smaller MPs (&lt;0.3 mm), which exhibited a positive correlation with overall MP concentrations. The polymer types of MPs identified in the samples categorise the polymer hazard index (PHI) as a hazard level V (&gt;1000) in all the samples indicating a high chemical risk in both the seasons. Similarly, the principal component analysis (PCA) revealed MP hotspots, particularly in soils near the MSW site, with concentrations reaching 53,580 ± 720 particles/kg emphasizing the vulnerability of terrestrial systems. This research highlights the importance of implementing effective waste management practices and provides valuable insights into the fate and transport of MPs by presenting strong evidence of MP movement from typical MSW/STP sites into adjacent land and water resources.</div></div>","PeriodicalId":15530,"journal":{"name":"Journal of contaminant hydrology","volume":"269 ","pages":"Article 104515"},"PeriodicalIF":3.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143378934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Exploring the ecotoxicological impacts of microplastics on freshwater fish: A critical review","authors":"Surajit Ghosh ,&nbsp;Sukhendu Dey ,&nbsp;Ahmadul Hoque Mandal ,&nbsp;Auroshree Sadhu ,&nbsp;Nimai Chandra Saha ,&nbsp;Damià Barceló ,&nbsp;Paolo Pastorino ,&nbsp;Shubhajit Saha","doi":"10.1016/j.jconhyd.2025.104514","DOIUrl":"10.1016/j.jconhyd.2025.104514","url":null,"abstract":"<div><div>Microplastics (MPs) have become ubiquitous in the environment, prompting significant concern among ecotoxicologists due to their potential toxic effects. These particles originate from various sources, including the fragmentation of larger plastic debris (secondary microplastics) and consumer products such as liquid soaps, exfoliants, and cleaning agents. The widespread use of plastics, coupled with inadequate waste management, poses a growing threat to ecosystem health worldwide. MPs are plastic particles composed of high-molecular-weight polymers that exhibit biochemical stability. Plastics break down into MPs and even smaller nanoplastics through various degradation mechanisms, such as exposure to UV radiation from sunlight and other environmental factors. Due to their resemblance to certain types of zooplankton and food particles, MPs are often ingested by fish, entering their digestive systems. Once inside, they do not remain solely in the gut; rather, they infiltrate the fish's circulatory and lymphatic systems, eventually distributing throughout various tissues and organs. Microplastics have been found in fish gills, muscles, liver, heart, swim bladders, ovaries, spinal cords, and even brains. The presence of MPs in these organs has been linked to significant adverse effects, including reproductive, neurological, hormonal, and immune system disruptions. This toxicity extends beyond fish, as bioaccumulation and biomagnification of MPs affect other organisms as well, marking MPs as a major anthropogenic stressor that impacts ecosystems at multiple levels. Research indicates that nearly all aquatic environments globally are at risk of MP contamination. Laboratory and field studies highlight fish as particularly susceptible to MP ingestion, though freshwater species have been less extensively studied than marine counterparts. After exposure, fish may suffer various health issues, either directly from MPs or from their interaction with other contaminants. The broader environmental implications of these laboratory findings and the specific role of MPs in increasing fish exposure to harmful chemicals remain topics of ongoing debate. This review aims to contribute to ecotoxicological insights on fish contamination by MPs and outline areas for future investigation.</div></div>","PeriodicalId":15530,"journal":{"name":"Journal of contaminant hydrology","volume":"269 ","pages":"Article 104514"},"PeriodicalIF":3.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143378935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"AQuA-P: A machine learning-based tool for water quality assessment","authors":"L. Díaz-González ,&nbsp;R.A. Aguilar-Rodríguez ,&nbsp;J.C. Pérez-Sansalvador ,&nbsp;N. Lakouari","doi":"10.1016/j.jconhyd.2025.104498","DOIUrl":"10.1016/j.jconhyd.2025.104498","url":null,"abstract":"<div><div>This study addresses the critical challenge of assessing the quality of groundwater and surface water, which are essential resources for various societal needs. The main contribution of this study is the application of machine learning models for evaluating water quality, using a national database from Mexico that includes groundwater, lotic (flowing), lentic (stagnant), and coastal water quality parameters.</div><div>Notably, no comparable water quality classification system currently exists. Five advanced machine learning techniques were employed: extreme gradient boosting (XGB), support vector machines, K-nearest neighbors, decision trees, and multinomial logistic regression. The performance of the models was evaluated using the accuracy, precision, and F1 score metrics. The decision tree models emerged as the most effective across all water body types, closely followed by XGB. Therefore, the decision tree models were integrated into the AQuA-P software, which is currently the only software of its kind. It is recommended that these innovative water classification models be used through the AQuA-P software to facilitate informed decision-making in water quality management. This software provides a probability-based classification system that contributes to a deeper understanding of water quality dynamics. Lastly, an open-access repository containing all the datasets and Python notebooks used in our analysis is provided, allowing for easy adaptation and implementation of our methodology for other datasets worldwide.</div></div>","PeriodicalId":15530,"journal":{"name":"Journal of contaminant hydrology","volume":"269 ","pages":"Article 104498"},"PeriodicalIF":3.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142949804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Effects of soil bulk density and corresponding soil infiltration rate on the migration and transformation of gibberellic acid","authors":"Xiaolei Hu ,&nbsp;Linxian Huang ,&nbsp;Huihua Chen ,&nbsp;Liang Chen ,&nbsp;Paul H. Fallgren","doi":"10.1016/j.jconhyd.2024.104488","DOIUrl":"10.1016/j.jconhyd.2024.104488","url":null,"abstract":"<div><div>High intensity agricultural activities can lead to a decrease in soil fertility and an increase in soil bulk density, which may significantly impact the migration and transformation of pesticides in soil. As a new widely-used micro-toxic pesticide, gibberellic acid (GA₃) is more soluble and hydrophilic than most pesticides, which could readily migrate throughout the soil during water infiltration and impact groundwater quality. In this study, the leaching of GA₃ in saturated soils with different bulk densities (1.15–1.75 g/cm³) and infiltration rates (0.2215–0.0017 mm/s) were analyzed using column experiments. The migration and distribution of GA₃ in the soil with a depth of 50 cm were also investigated. The results indicated that GA₃ could completely penetrate the soil with bulk densities less than 1.45 g/cm³, and GA₃ mass variation in the effluent was normally distributed. The maximum mass of GA₃ in the effluent was calculated using the equation M_outlet(max) = 79.01 t^-0.97 (R² = 0.9811), and 83.69–93.16 % mass of the added GA₃ migrated downward in the soil. The analysis of the distribution of GA₃ in the soil showed that GA₃ accumulated in the upper soil layers with depths of 0–25 cm (the total depth of soil was 50 cm). In addition, the residual and hydrolyzed GA₃ amounts in the soil were 75.07–96.47 % and 5–30 % of the added GA₃, respectively. Overall, the soil bulk density and irrigation volume determine what type of impact that GA₃ may potentially have on the environment.</div></div>","PeriodicalId":15530,"journal":{"name":"Journal of contaminant hydrology","volume":"269 ","pages":"Article 104488"},"PeriodicalIF":3.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142818430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Unravelling land-based discharge of microplastics in River Basantar of Jammu & Kashmir, India: Understanding sinking behaviors and risk assessments","authors":"Shaveta Padha ,&nbsp;Rakesh Kumar ,&nbsp;Yogesh Sharma ,&nbsp;Anjali Dhar","doi":"10.1016/j.jconhyd.2024.104490","DOIUrl":"10.1016/j.jconhyd.2024.104490","url":null,"abstract":"<div><div>Microplastics (MPs) are ubiquitous and are increasing globally, but there is limited information available on their presence in freshwater ecosystems. This research work aims to investigate the abundance, sinking behavior, and risk assessment of MPs in the freshwater River Basantar, Jammu &amp; Kashmir, India. Microplastic abundance in sediments was recorded in the range of 1–6 items g⁻¹, with a mean abundance of 3 ± 1.594 item g⁻¹, whereas MPs in surface water ranged from 200 to 850 items L⁻¹ with a mean abundance of 530 ± 218.4 items L⁻¹ among 12 sites for sediments and 10 sites for surface water. Besides, the sinking behavior of MPs was analyzed through portioning coefficients (K_d) at sediments-surface water interface, which ranges from 0.71 to 2.50 L Kg⁻¹ for River Basantar. The most common shapes identified were fragments, fibres, and films, followed by pellets, foams, and lines. ATR-FTIR polymeric characterization reported polyethylene, polypropylene, polystyrene, polyethylene terephthalate, and polyvinyl chloride, and thus, polymeric risk assessment analysis was also evaluated and normally distributed in the River Basantar. Polymer Hazard Index was calculated across all the sites which observed to be polluted under risk categories “III” and “IV” for both the sediments and surface water samples. Pollution Load Index (PLI) calculated across all the sites was &gt;1 depicting all the sites for both sediments and surface water sampling to be polluted. Pollution Risk Index was assessed and majority of surface water and sediment samples were observed to be under “<em>Very high</em>” risk category. The study, using principal component analysis and heatmap analysis, found that MPs are primarily a result of urbanization and anthropogenic actions, like industrial discharges, household wastes, and agricultural runoffs. This study highlights the significance of more investigation and coordinated efforts to solve the worldwide problem of plastic pollution in freshwater environments. Results data provide insight into the current state of MP contamination and will help government authorities implement strict rules and perform management interventions to reduce and monitor pollution levels in River Basantar. Future studies on the partitioning of MPs in sediments and surface water must be focused on aggregation, biofouling, plastic density &amp; size, salinity, and flow behaviors to understand transport and deposition in rivers.</div></div>","PeriodicalId":15530,"journal":{"name":"Journal of contaminant hydrology","volume":"269 ","pages":"Article 104490"},"PeriodicalIF":3.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142894875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Rural village as a source of microplastic pollution in a riverine and marine ecosystem of the southern Venezuelan Caribbean","authors":"Jose F. Grillo ,&nbsp;Adriana López-Ordaz ,&nbsp;Andrés J. Hernández ,&nbsp;Francis B. Gómez ,&nbsp;Marcos A. Sabino ,&nbsp;Ruth Ramos","doi":"10.1016/j.jconhyd.2025.104511","DOIUrl":"10.1016/j.jconhyd.2025.104511","url":null,"abstract":"<div><div>Microplastics (MP) are widely distributed environmental pollutants with the potential to impact terrestrial and aquatic ecosystems. MP produced in urban areas are transported through rivers to marine environments, interacting with water, sediments and organisms along the way. To date, most studies have characterized MP pollution associated with urban centers. This study quantified the MP abundance associated with a representative rural community of the Southern Caribbean Coast of Venezuela, Chichiriviche de la Costa (Chichi), and its influence on a neighboring riverine and marine ecosystem. MP pollution was assessed in the dry and rainy season by sampling riverine water and sediments upstream and downstream of the village. Additionally, marine water, sediments and organisms (fish and sponges) were sampled in the bay. Samples were processed according to standardized protocols with strict quality control procedures. MP were characterized through ATR-FT-IR. The riverine water and sediments downstream of the village had a MP abundance that was 2.3 and 3.8 times higher than the upstream sampling site, respectively. A higher MP abundance was found in the sediments of the river mouth and the waters of the inner bay of Chichi, suggesting that the river was the main source of MP to the bay. MP were found in all marine organisms. The MP abundance in the waters of the inner bay of Chichi was 1.7 to 1197.3 times higher than previous studies conducted in urban centers of Latin America. Our study highlights the role of rural centers as sources of MP pollution.</div></div>","PeriodicalId":15530,"journal":{"name":"Journal of contaminant hydrology","volume":"269 ","pages":"Article 104511"},"PeriodicalIF":3.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143132067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Sorption behavior of oxytetracycline on microplastics and the influence of environmental factors in groundwater: Experimental investigation and molecular dynamics simulation","authors":"Fengjia Liu ,&nbsp;Dan Zhang ,&nbsp;Yufei Ma ,&nbsp;Mengyao Jing ,&nbsp;Guijuan Li ,&nbsp;Shengke Yang","doi":"10.1016/j.jconhyd.2024.104489","DOIUrl":"10.1016/j.jconhyd.2024.104489","url":null,"abstract":"<div><div>Microplastics (MPs) and antibiotics can enter groundwater through the interaction of soil and surface water, and MPs as carriers of antibiotics can promote the migration of antibiotics and thus generate more serious ecological risks. Therefore, this paper used experimental and molecular dynamics (MD) simulation methods to investigate the sorption between four common types of MPs in groundwater, namely polyamide (PA), polystyrene (PS), polyvinyl chloride (PVC), and polyethylene (PE), and oxytetracycline (OTC) with high detection rate in groundwater. Additionally, the impact of environmental factors on sorption was examined. The sorption kinetics of the four types of MPs followed the pseudo-second-order kinetics model, and the sorption isotherms of OTC on PA, PE, and PVC were highly linear, suggesting that the electrostatic interaction was the main sorption mechanism. Both experimental and simulation results indicated that PA had the highest affinity for OTC, due to the effect of the formation of hydrogen bonding between the amide groups of PA and OTC. The primary way pH affected sorption was by altering the form in which OTC exists. The effects of the representative substances of protein-like component (bovine serum albumin) and humus-like component (humic acid) in dissolved organic matter varied but were generally inhibitory. Ions could influence the sorption process by competitive sorption or forming complexes with the OTC.</div></div>","PeriodicalId":15530,"journal":{"name":"Journal of contaminant hydrology","volume":"269 ","pages":"Article 104489"},"PeriodicalIF":3.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142854336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Optimizing coastal groundwater quality predictions: A novel data mining framework with cross-validation, bootstrapping, and entropy analysis","authors":"Abu Reza Md Towfiqul Islam ,&nbsp;Md. Abdullah-Al Mamun ,&nbsp;Mehedi Hasan ,&nbsp;Mst. Nazneen Aktar ,&nbsp;Md Nashir Uddin ,&nbsp;Md. Abu Bakar Siddique ,&nbsp;Mohaiminul Haider Chowdhury ,&nbsp;Md. Saiful Islam ,&nbsp;A.B.M. Mainul Bari ,&nbsp;Abubakr M. Idris ,&nbsp;Venkatramanan Senapathi","doi":"10.1016/j.jconhyd.2024.104480","DOIUrl":"10.1016/j.jconhyd.2024.104480","url":null,"abstract":"<div><div>Investigating the potential of novel data mining algorithms (DMAs) for modeling groundwater quality in coastal areas is an important requirement for groundwater resource management, especially in the coastal region of Bangladesh where groundwater is highly contaminated. In this work, the applicability of DMA, including Gaussian Process Regression (GPR), Bayesian Ridge Regression (BRR) and Artificial Neural Network (ANN), for predicting groundwater quality in coastal areas was investigated. The optuna-based optimized hyperparameter is proposed to improve the accuracy of the models, including optuna-GPR and optuna-BRR as benchmark models. Combined cross-validation (CV) and bootstrapping (B) methods were used to build six predictive models. The entropy-based coastal groundwater quality index (ECWQI) was converted into a normalized index (ECWQIn), which was divided into five classes from very poor to excellent. The self-organizing map (SOM), spatial autocorrelation and fuzzy logic model were used to identify spatial groundwater quality patterns based on 12 physicochemical variables collected from 67 groundwater wells. The SOM analysis identified four distinct spatial patterns, including EC-TDS-Cl⁻, Mg<img>pH, Ca²⁺<img>K⁺<img>NO₃⁻, and HCO₃⁻<img>SO₄²⁻<img>Na⁺<img>F⁻. The results showed that both the ANN (CV) and ANN (B) models performed better than other optuna-based models during the test phase (RMSE = 0.041, MAE = 0.026, R2 = 0.971, RAE = 0.15 = 21 and CC = 0.986) and (RMSE = 0.041, MAE = 0.025, R2 = 0.969, RAE = 0.119 and CC = 0.975), respectively. SO₄²⁻, Cl⁻ and F⁻ played an important role in the prediction accuracy. F- and SO₄²⁻ showed higher spatial autocorrelation, which affected groundwater quality degradation. In addition, the ANN (CV) and ANN (B) models showed a Gaussian distribution of model errors (small standard error, &lt;1 %), indicating the stability of the model. These results indicate the efficiency of the ANN model in predicting groundwater quality in coastal areas, which would help regional water managers in real-time monitoring and management of sustainable groundwater resources.</div></div>","PeriodicalId":15530,"journal":{"name":"Journal of contaminant hydrology","volume":"269 ","pages":"Article 104480"},"PeriodicalIF":3.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142872260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Distribution of potentially toxic elements in sediments of the municipal river channel (Balu), Dhaka, Bangladesh: Ecological and health risks assessment","authors":"Md Muzammel Hossain ,&nbsp;Iffat Jahan ,&nbsp;Abdullah Al Nahian ,&nbsp;Karen H. Johannesson ,&nbsp;Stephen J. Maxwell ,&nbsp;Daochen Zhu","doi":"10.1016/j.jconhyd.2024.104492","DOIUrl":"10.1016/j.jconhyd.2024.104492","url":null,"abstract":"<div><div>The concern of potential toxic elements (PTEs) contamination in the river ecosystem is growing due to anthropological activity. The contents of seven PTEs in sediments from the Balu River channel were analyzed using atomic absorption spectroscopy (AAS) and an environmental risk model. Several PTEs were found in the sediment at high levels, including zinc (Zn), copper (Cu), arsenic (As), lead (Pb), cadmium (Cd), nickel (Ni), and mercury (Hg), that might pose a risk to human and ecological health. The highest mean concentration of PTEs in sediment followed in decreasing order Zn (1365.21 mg/kg) &gt; Cu (149.34 mg/kg) &gt; Pb (46.34 mg/kg) &gt; Ni (34.78 mg/kg) &gt; As (6.31 mg/kg) &gt; Cd (2.34 mg/kg) &gt; Hg (1.03 mg/kg). In addition, most of these PTEs were significantly correlated (<em>p</em> &lt; 0.05) among the sites and exceeded the safety guideline value. The geo-accumulation index (<em>Igeo</em>), contamination factor (CF), and pollution load index (PLI) showed high levels of PTEs contamination and moderately polluted to highly polluted levels of these elements. At the BL3, BL4, and BL6 sites within the study site, the ecological risk (PERI) score was extremely high, and the PERI values range found was from 75.39 to 355.72. Every PTE had a slightly greater concentration during the dry season than the wet season. Interestingly, PTE accumulation from sediment indicated non-carcinogenic risk (<span><math><msub><mi>HQ</mi><mi>dermal</mi></msub></math></span>) in human health, whereas most of the sites showed carcinogenic risk (<span><math><msub><mi>CR</mi><mi>dermal</mi></msub></math></span>) to human health (adult and child) due to Cd and Ni accumulation. Multivariate statistical analysis (MVSA) indicated the most likely anthropological sources were the untreated wastes discharged in the river sampling area. People who come into contact with polluted sediments are constantly exposed to Ni and Cd pollution, which increases the risk of cancer and non-cancerous diseases. So, continuous PTE monitoring is advised by this study to assess ecological and human health risks.</div></div>","PeriodicalId":15530,"journal":{"name":"Journal of contaminant hydrology","volume":"269 ","pages":"Article 104492"},"PeriodicalIF":3.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143132227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}