Chi Ma , Wenchao Sun , Zhongwen Yang , Jinqiang Wang , Ling Zhou
{"title":"Spatiotemporal variations in land use impacts on river water quality in a mountain-to-plain transitional basin in arid region of northern China","authors":"Chi Ma , Wenchao Sun , Zhongwen Yang , Jinqiang Wang , Ling Zhou","doi":"10.1016/j.jconhyd.2025.104542","DOIUrl":"10.1016/j.jconhyd.2025.104542","url":null,"abstract":"<div><div>Land use, as an integrated representation of natural conditions and human activities, significantly impacts river water quality. Understanding the spatial and temporal variability of these influences offers valuable insights for improving water quality through the implementation of best management practices. This study examined the impact of land use on river water quality in the Dahei River Basin, a typical mountain-to-plain basin located in the arid region of northern China, which is also the last first-order tributary of Upper Yellow River. Hierarchical clustering analysis was employed to analyze the spatial distribution characteristics of river water quality and redundancy analysis was used to explore the impacts of land use on water quality in upstream buffer zones with radii from 500 m to 14,000 m. The results indicate that river water quality conditions in the mountainous region are much better than in the plain region. In both the dry and wet seasons, land use significantly affects water quality variation, particularly at the 8000 m buffer zone, although the mechanisms differ. In the wet season, the non-point source pollution from storm runoff erosion dominates the positive correlations between water pollution levels and the areas of cropland and urban regions, while for the dry season such positive correlations may come from elevated soil electrolyte levels due to groundwater irrigation and point source pollution from urban activities. For land use types that show a negative correlation with water pollutant levels, the stronger correlation observed in grasslands compared to forests region may be attributed to grasslands' better adaptation to arid conditions. The findings from this study enhance our understanding of the spatiotemporal variations in land use impacts on river water quality and can provide guidance for land use planning at the basin scale in arid regions.</div></div>","PeriodicalId":15530,"journal":{"name":"Journal of contaminant hydrology","volume":"271 ","pages":"Article 104542"},"PeriodicalIF":3.5,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143620666","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}
Abu Reza Md Towfiqul Islam , A.J. Raihan , Md. Yousuf Mia , Md. Saiful Islam , Subodh Chandra Pal , Tanmoy Biswas , Bilkis A. Begum , Tasrina R. Choudhury , Mohammed Ali Alshehri , Venkatramanan Senapathi , M. Safiur Rahman
{"title":"Groundwater quality drivers in the drought-prone Thakurgaon District, Northwestern Bangladesh: An integrated fuzzy logic and statistical modeling approach","authors":"Abu Reza Md Towfiqul Islam , A.J. Raihan , Md. Yousuf Mia , Md. Saiful Islam , Subodh Chandra Pal , Tanmoy Biswas , Bilkis A. Begum , Tasrina R. Choudhury , Mohammed Ali Alshehri , Venkatramanan Senapathi , M. Safiur Rahman","doi":"10.1016/j.jconhyd.2025.104533","DOIUrl":"10.1016/j.jconhyd.2025.104533","url":null,"abstract":"<div><div>Groundwater quality in the drought-prone Thakurgaon District, Northwestern Bangladesh, is deteriorating due to a combination of natural and anthropogenic factors. This study evaluates the key drivers of groundwater quality degradation by employing ecotoxicological risk indices, such as the Heavy Metal Pollution Index (HPI), Heavy Metal Evaluation Index (HEI), and Nemerow's Pollution Index (NPI). An innovative fuzzy logic approach is used to integrate these indices and reduce uncertainty, while Automatic Linear Modeling (ALM) predicts the primary impacts on the Fuzzy Groundwater Quality Index (FGWQI). Additionally, Monte Carlo simulations assess probabilistic health risks and sensitivity. Groundwater samples from 40 wells were analyzed for physicochemical parameters and heavy metal concentrations. The results show that 25 % of the samples are unsuitable for drinking, and 17.5 % are unfit for household use, based on HPI and HEI values. Fuzzy analysis reveals that 22.5 %, 47.5 %, and 30 % of the samples exhibit excellent, good, and poor quality, respectively. The overlay of FGWQI with Land Use/Land Cover (LULC) maps identifies areas with excellent groundwater quality in the southern parts of the region, while the northern areas suffer from poor quality due to overexploitation. One-way ANOVA indicates that rainfall, water discharge, and LULC significantly affect FGWQI. The ALM results highlight HEI (0.62) and HPI (0.38) as the main factors influencing FGWQI. Health risk analysis reveals elevated non-carcinogenic risks due to arsenic and lead ingestion, particularly for children. These findings emphasize the need for targeted policies and interventions to mitigate health risks and ensure the well-being of the community.</div></div>","PeriodicalId":15530,"journal":{"name":"Journal of contaminant hydrology","volume":"271 ","pages":"Article 104533"},"PeriodicalIF":3.5,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143601266","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}
Liam M. Price, Ariel Nunez Garcia, Kevin G. Mumford
{"title":"Identifying an indicator compound for progress monitoring during in-situ thermal treatment of coal tar and creosote","authors":"Liam M. Price, Ariel Nunez Garcia, Kevin G. Mumford","doi":"10.1016/j.jconhyd.2025.104543","DOIUrl":"10.1016/j.jconhyd.2025.104543","url":null,"abstract":"<div><div>In situ thermal treatment (ISTT) has been used to treat sites impacted by coal tar and creosote when stringent remediation objectives must be met over short timeframes. There is a need to identify an indicator compound that can be used to track progress during the treatment of these complex semi-volatile non-aqueous phase liquids (NAPLs) to complement soil sampling typically conducted once treatment is complete. This study outlines an approach to track ISTT progress and support shutdown decisions based on mass removal objectives using a series of laboratory experiments to investigate changes in semi-volatile NAPL composition during thermal treatment. Sand, water and semi-volatile NAPL were heated, and the recovery of polycyclic aromatic hydrocarbons (PAHs) was monitored by sampling and analysis of condensate. PAHs were predominantly removed between 260 °C and 455 °C, with early-stage condensate composed of higher volatility PAHs and later-stage condensate composed of lower volatility PAHs. Experimental results showed that intermediate-volatility PAHs (e.g., phenanthrene) could be used as an indicator compound to infer treatment progress with respect to both higher and lower volatility PAHs. Monitoring an indicator compound during ISTT of semi-volatile NAPL could provide higher confidence in treatment progress than conventional monitoring techniques and allow for more accurate shutdown decisions.</div></div>","PeriodicalId":15530,"journal":{"name":"Journal of contaminant hydrology","volume":"271 ","pages":"Article 104543"},"PeriodicalIF":3.5,"publicationDate":"2025-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143669975","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":"Remediation of toluene-contaminated soils by sequential treatment: Soil vapor extraction systems and internal combustion engine units","authors":"Zhengju Lyu, Weilong Zhou, Xiaolong Gao, Haowei Zheng, Jianli Jia","doi":"10.1016/j.jconhyd.2025.104532","DOIUrl":"10.1016/j.jconhyd.2025.104532","url":null,"abstract":"<div><div>This paper reports soil vapor extraction (SVE) systems and internal combustion engine (ICE) units to remediate soils contaminated with toluene. Response surface methodology (RSM) was used to evaluate the influence of toluene concentration, air flow rate and soil water content on SVE systems, thus to identify the optimal conditions for SVE systems. ICE units were used to treat the SVE off-gas extracted from toluene-contaminated soils, and the performance in removing toluene was effectively evaluated. Furthermore, the pulsed operation of SVE systems and the thermal enhancement with ICE off-gas were explored, and the positive effects on remediation efficiency were analyzed. The remediation experiments performed in toluene-contaminated soils allowed concluding that the optimal desorption time of toluene was 615 min with the toluene concentration of 0.3 g/kg, air flow rate of 10 L/min and soil water content of 9 %. The ICE units showed that the main components of ICE off-gas were CO, CO<sub>2</sub> and hydrocarbon (HC). After 25 min, the concentration of HC decreased to 140 ppm, and the volume fractions of CO and CO<sub>2</sub> were 0.3 % and 9.5 % respectively. ICE units had consistently achieved toluene destruction and removal efficiencies (DREs) of 100 %. Moreover, the pulsed operation and thermal enhancement promoted equilibrium partitioning of toluene between the soil matrix and the gas phase, thereby facilitating the desorption of toluene, which decreased the required time and energy needed for the remediation. This study provides theoretical support for system design and applicability assessment of SVE systems and ICE units in the remediation of contaminated soils.</div></div>","PeriodicalId":15530,"journal":{"name":"Journal of contaminant hydrology","volume":"271 ","pages":"Article 104532"},"PeriodicalIF":3.5,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143628158","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}
Clarissa Ileana L. Ilao , Joan Cecilia C. Casila , Tonni Agustiono Kurniawan , Ronnie S. Sampang , Lars Lerry T. Panganiban , Liza B. Patacsil , Jomel S. Limbago
{"title":"Assessment of microplastics and heavy metal contamination in surficial sediments of Pasig River, Philippines during wet season","authors":"Clarissa Ileana L. Ilao , Joan Cecilia C. Casila , Tonni Agustiono Kurniawan , Ronnie S. Sampang , Lars Lerry T. Panganiban , Liza B. Patacsil , Jomel S. Limbago","doi":"10.1016/j.jconhyd.2025.104527","DOIUrl":"10.1016/j.jconhyd.2025.104527","url":null,"abstract":"<div><div>This study investigates the contamination of microplastics (MPs) and heavy metals in surficial sediments of the Pasig River, Philippines, during the wet season. This season, marked by heightened rainfall, runoff, and stormwater flow, potentially enhances the dispersion and accumulation of pollutants, leading to elevated pollution levels. MPs and heavy metals pose significant threats to aquatic ecosystems and human health, and their accumulation in river sediments warrants urgent attention. Samples were collected from multiple sites along the river, focusing on sediment composition, to analyze MP abundance and heavy metal concentrations. Results revealed high concentrations of MPs, predominantly polyester, polyethylene and acrylonitrile-butadiene copolymer, and heavy metals which were significantly higher in urbanized areas. MPs were found at all sampling locations, ranging from 2700 to 28,250 particles per kilogram of sediments. Heavy metals in the sediments varied, with concentrations of Cd (<0.003 mg/kg), Pb (3.09–50.48 mg/kg), Zn (53.37–175.74 mg/kg), and Fe (11,629–25,687 mg/kg), in the order Fe > Zn > Pb > Cd. According to the Hong Kong-Interim Sediment Quality Values criteria, the sediments were not contaminated by Cd, Pb, and Zn. Correlations between MP abundance and metals were found to be moderate for Pb and Zn but low for Fe, suggesting complex pollution dynamics. These findings emphasize the need for comprehensive monitoring and targeted waste management strategies to address MPs and heavy metal pollution, particularly during the wet season. Identifying MPs polymer types and their possible pollution sources provides valuable data to mitigate sediment contamination and protect aquatic ecosystems and human health.</div></div>","PeriodicalId":15530,"journal":{"name":"Journal of contaminant hydrology","volume":"270 ","pages":"Article 104527"},"PeriodicalIF":3.5,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143510683","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":"Pesticide fate under varying cropping systems and soil depths: A study using leaching experiments and inverse modelling.","authors":"Clémence Pirlot , Alodie Blondel , Boris Krings , Bastien Durenne , Olivier Pigeon , Aurore Degré","doi":"10.1016/j.jconhyd.2025.104526","DOIUrl":"10.1016/j.jconhyd.2025.104526","url":null,"abstract":"<div><div>Current pesticide leaching risk assessments overlook critical site-specific factors such as soil depth and agricultural practices. Relying on transport parameters from databases or manufacturer studies, often based on limited soil types, can lead to inaccurate contamination risk estimates and ineffective protection of groundwater resources. In this study, the fate of eight pesticides of concern for groundwater was investigated under three cropping systems and three soil depths. Leaching experiments were carried out in undisturbed columns from a loamy agricultural soil and mass balances were realized. Inverse dual-porosity modelling using Hydrus 1-D was then performed to adjust mobility parameters. The results reveal that different soil properties and structure between soil depths have a more substantial impact on pesticide leaching behaviour than the cropping systems. Significant differences in pesticide transport and retention are observed between soil horizons, illustrating the inadequacy of using surface parameters for the entire soil profile, which can lead to underestimation of groundwater contamination. Our analysis indicates that root architecture, soil properties and surface tillage can affect pesticide leaching dynamics. While short-term differences between cropping systems were limited, these factors could be important for long-term effects. The experimental transport parameters showed discrepancies with established databases, where higher adsorption and degradation could underestimate pesticide leaching and metabolites production. This study highlights the need to adapt transport parameter values for all pesticides of concern to site-specific conditions. In addition, accurate risk assessment requires advanced modelling techniques that take into account soil depth variability and local conditions to improve water protection decision-making. Future research should focus on long-term monitoring of the effects of sustainable agricultural practices on pesticide behaviour over several seasons and for a range of soil types. Special emphasis should be placed on the role of metabolites in environmental contamination.</div></div>","PeriodicalId":15530,"journal":{"name":"Journal of contaminant hydrology","volume":"270 ","pages":"Article 104526"},"PeriodicalIF":3.5,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143552654","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}
Arghadyuti Banerjee, Aonghus Ó'Domhnaill, Leo Creedon, Noelle Jones, Salem Gharbia
{"title":"A land use regression model to explain the spatial variation of nitrate concentration – A regional scale case study in the north-west of Ireland","authors":"Arghadyuti Banerjee, Aonghus Ó'Domhnaill, Leo Creedon, Noelle Jones, Salem Gharbia","doi":"10.1016/j.jconhyd.2025.104528","DOIUrl":"10.1016/j.jconhyd.2025.104528","url":null,"abstract":"<div><div>Regional-scale groundwater contamination estimation is crucial for sustainable water management. The primary obstacles in evaluating groundwater include limited data availability, small sample sizes, and difficulties in linking concentration levels to land use patterns. Linear regression identifies the relationship between measured concentrations and both natural and human-influenced factors. However, the primary difficulty with this method lies in choosing a group of regressors that meet all necessary criteria for the model when multiple potential regressors exist. This study introduces a buffer-based land-use linear regression method to develop a catchment-scale model for predicting nitrate concentrations in groundwater. The model successfully captures 85 % of the spatial variability in nitrate across the study area, as indicated by the validation results from 32 training sites. The model's prediction capability and ability to capture the spatial variability of nitrate concentration were found to be good in the model development (R<sup>2</sup> = 0.89) and validation (R<sup>2</sup> = 0.80) steps. The model performed well in the accuracy assessment and error estimation processes (RMSE = 0.025 and MAE = 0.020). In future, this LUR model can be reparameterised with the latest available time series datasets to capture climate change scenarios. While this study focused on a small sub-catchment of the Bonet River, the methodology has the potential to be applied in a border study area. Future studies with a more robust methodology and more accurate predictor variables to explain the influence of the contamination sources, transport and attenuation processes can improve the buffer-based LUR technique for better model adaptation and applicability to other study areas.</div></div>","PeriodicalId":15530,"journal":{"name":"Journal of contaminant hydrology","volume":"270 ","pages":"Article 104528"},"PeriodicalIF":3.5,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143552656","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":"Effects of stratification on hydrodynamics and mixing process at a large asymmetric confluence in northern China","authors":"Cheng Dong, Minquan Feng, Haixiao Jing, Xiaoge Dang","doi":"10.1016/j.jconhyd.2025.104531","DOIUrl":"10.1016/j.jconhyd.2025.104531","url":null,"abstract":"<div><div>The hydrodynamics in the confluence area of rivers are typically governed by the geometrical configuration of the surrounding landforms, the momentum and discharge ratios of the converging watercourses, and the morphological features of the riverbed. Recently, it has been discovered that stratification effects resulting from disparities in temperature, salinity, sediment concentration can also have significant impact on the downstream hydrodynamics of the confluence area. In this study, the impact of stratification induced by sediment concentration on fluid dynamics and pollutant mixing in the Yellow - Fen River confluence area is studied by using a 3D numerical model. The distribution of the depth-averaged field and secondary flow are analyzed. The findings revealed that the alterations in density caused by sediment concentration had effect on the flow dynamics across both horizontal and vertical dimensions of the confluence area. These alterations encompassed flow magnitude, shear layer, low velocity zone, cross-section vortex, and secondary flow. When the sediment concentration in the main stream was high, a noticeable stratification phenomenon emerged, whereby the tributary pollutants rode above the main stream during transport and mixing. Under these conditions, the pollutant mixing process accelerated, resulting in a shortened mixing distance. This acceleration can be attributed to the intensified secondary flow in the cross-section, brought about by the stratification effect. The findings from this study enhance our understanding of pollutant mixing patterns in river confluence areas.</div></div>","PeriodicalId":15530,"journal":{"name":"Journal of contaminant hydrology","volume":"270 ","pages":"Article 104531"},"PeriodicalIF":3.5,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143510785","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}
Vivian Turner , Madison Bruno , David W. Werth , Robert Buckley
{"title":"Sensitivity analysis of a parameterization of coagulation in an aqueous transport model","authors":"Vivian Turner , Madison Bruno , David W. Werth , Robert Buckley","doi":"10.1016/j.jconhyd.2025.104525","DOIUrl":"10.1016/j.jconhyd.2025.104525","url":null,"abstract":"<div><div>A three-dimensional aqueous transport model, ALGE, was developed at the Savannah River National Laboratory (SRNL) as a tool for emergency response. Recently, coagulation and break-up of suspended sediment and particulate (contaminant adhered to sediment) matter has been added as a new model capability via bilinear interpolation of salinity and turbulence. A sensitivity analysis was performed by comparing time series of suspended sediment and particulate concentrations at various locations when the model's parameters (particle size and density) are altered. Concentrations produced by the model match well with the literature, producing concentrations between 0.05 and 0.25 kg/m<sup>3</sup>. Simulations of suspended sediment also show similar trends to the literature, where concentrations reach equilibrium faster in a salinity driven environment (>0.5 days) when compared to a freshwater environment (∼1 day). Sensitivity results show significant differences (<em>P</em>-values <0.05) between suspended sediment experiments in both freshwater and saltwater systems when all parameters (particle diameter, density, fraction of mass) vary, whereas significant differences (<em>P</em>-value <0.05) between particulate tracer experiments occur primarily at the source of the release.</div></div>","PeriodicalId":15530,"journal":{"name":"Journal of contaminant hydrology","volume":"270 ","pages":"Article 104525"},"PeriodicalIF":3.5,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143562955","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}
Vimbainashe L. Dzimbanhete , Lena Alakangas , Torbjörn Karlsson , Elsa Peinerud , Oscar Paulsson , Olof Martinsson , Thomas Aiglsperger
{"title":"Uranium dynamics at an iron ore mine site in Northern Sweden: Sources and mobility along the mine value chain","authors":"Vimbainashe L. Dzimbanhete , Lena Alakangas , Torbjörn Karlsson , Elsa Peinerud , Oscar Paulsson , Olof Martinsson , Thomas Aiglsperger","doi":"10.1016/j.jconhyd.2025.104530","DOIUrl":"10.1016/j.jconhyd.2025.104530","url":null,"abstract":"<div><div>Uranium (U) release from mining has been typically associated with former U mine sites, but trace U levels in iron or base metal ores can also lead to U mobilization into ground and surface water posing potential risks due to U's chemical toxicity and radioactivity. This study investigates U sources and mobility at an iron ore mine site in Northern Sweden, where U concentrations (median 1.8 μg/l) exceeding the Swedish annual guideline value of 0.17 μg/l have been detected in a river receiving excess process water from the mine site. Drill core samples were characterized to identify the minerals hosting U in the iron ore and sequential extraction tests were conducted on solid samples from the processing plant to assess U mobility potential. Results indicate that, given its low U content, iron ore is not a significant source of the elevated U levels detected in the process water. Thorite, the main U-bearing mineral remains stable under the neutral to alkaline pH conditions in the processing plant. U speciation calculations on process water monitoring data, performed in PHREEQC with the PRODATA thermodynamic database, revealed dominant calcium uranyl carbonate complexes, specifically Ca<sub>2</sub>UO<sub>2</sub>(CO<sub>3</sub>)<sub>3</sub> and CaUO<sub>2</sub>(CO<sub>3</sub>)<sub>3</sub><sup>2−</sup>. Mine water from Leveäniemi and Gruvberget open pits, particularly Leveäniemi, was identified as the main source of U to the process water in the recirculation system. The U in mine water originates from groundwater infiltration into the open pits and leaching of U from the open pit wall rocks. Further investigation of these sources and U's geochemical behavior in mine water before it mixes with process water in the processing plant is crucial for understanding the processes driving elevated downstream U concentrations.</div></div>","PeriodicalId":15530,"journal":{"name":"Journal of contaminant hydrology","volume":"270 ","pages":"Article 104530"},"PeriodicalIF":3.5,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143552657","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}