Environmental Geochemistry and Health最新文献

{"title":"Environmental assessment of metals in road dust: what do geochemical indices really tell us about pollution?","authors":"Agnieszka Gałuszka, Zdzisław M Migaszewski","doi":"10.1007/s10653-025-02443-7","DOIUrl":"10.1007/s10653-025-02443-7","url":null,"abstract":"<p><p>Pollution of road dust has been studied for decades because of potential health and environmental risks resulting from elevated levels of metals in this medium. In many studies, environmental assessment of road dust pollution has been made with the use of indices that were originally introduced as a tool to assess the quality of air, soils and sediments. Examples of the most popular geochemical indices are the enrichment factor, the contamination factor, the index of geoaccumulation and the pollution index. We calculated these indices using the element concentrations (Ba, Ca, Cu, Fe, K, Mn, Pb, Si, Sr, Ti, Zn and Zr) in three grain fractions of road dust samples (< 2 mm, < 1 mm and < 0.063 mm) collected in the city of Kielce, Poland. The study showed that critical parameters to be considered in data interpretation are the selection of geochemical background value, the use of appropriate reference element and grain size fraction. Application of local geochemical background instead of the Earth's crust composition, grain fraction < 2 mm and appropriate reference elements are recommended for calculation of geochemical indices in road dust samples. This study shows that the use of geochemical indices for environmental assessment of road dust pollution should be carefully considered.</p>","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"47 4","pages":"128"},"PeriodicalIF":3.2,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143691103","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":"Geochemistry and risk assessment of potentially toxic elements in surface river sediments (Chirchik-Akhangaran basin, Uzbekistan).","authors":"Silvia Fornasaro, Lisa Ghezzi, Simone Arrighi, Nosir Shukurov, Maxim Petrov, Alessio Tomei, Riccardo Petrini","doi":"10.1007/s10653-025-02441-9","DOIUrl":"10.1007/s10653-025-02441-9","url":null,"abstract":"<p><p>The geochemistry of river sediments depends on several factors, namely the nature of exposed lithologies, weathering, different grain-size and sorting due to hydraulic phenomena, and anthropogenic inputs. Potentially toxic elements (PTEs) in river sediments may result in potential health risks due to overexposure when riverfronts are used for recreational activities. In the present study, sediments were collected from 17 sites in the Chirchik-Akhangaran River basin in the Tashkent Province (Uzbekistan, Central Asia) during baseflow conditions. The concentration of PTEs was determined in the < 2 mm (bulk) and < 63 µm (fine) grain-size fractions. The assessment of contamination using environmental indices highlighted low to moderate contamination for Li, Be, Co, Ni, Sb, V, and Cr in Chirchik and Akhangaran sediments and from moderate to high contamination for Cu, Zn, Mo, Cd, Tl, Pb, and As in some of the Akhangaran sites. The potential ecological risk indices suggest that risk ranges from low to moderate in most stations from the Chirchik and Akhangaran River catchments; high risk is restricted to few Akhangaran sites. Risk assessment carried out for the Chirchik River, where waterfront recreational use is popular, indicates that the non-carcinogenic risk is acceptable for all contaminants and all pathways for an outdoor recreational setting. The cumulative Hazard Index (HI) resulted to be lower than the acceptance threshold (HI < 1) for both children and adults (0.795 and 9.27 × 10^-2, respectively). In the case of carcinogenic effects, the risk is unacceptable for As through the ingestion pathway. The calculated screening level for As is 2.86 mg/kg.</p>","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"47 4","pages":"127"},"PeriodicalIF":3.2,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143691105","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":"Repercussions of anthropogenic activities on soil contamination: sources, distribution, and health risks of arsenic and other non-radioactive metals in urban Bangladesh.","authors":"Md Kamal Hossain, Salma Sultana, Kowshik Das Karmaker, Afroza Parvin, Badhan Saha, Mohammad Moniruzzaman, Umme Sarmeen Akhtar","doi":"10.1007/s10653-025-02427-7","DOIUrl":"10.1007/s10653-025-02427-7","url":null,"abstract":"<p><p>In recent decades, non-radioactive metals (n-RMs) and metalloids, notably arsenic (As), have become widespread in surface soil due to human-induced activities such as industrial operations, mining, agriculture, and untreated waste disposal. To determine the accumulation of such n-RMs in the soil content, samples were collected from an industrial area in Bangladesh and analyzed using Inductively Coupled Plasma-mass Spectrometry (ICP-MS). Results indicated that the mean concentrations (mg/kg) of n-RMs followed the order of Mn (428.84 ± 61.30 mg/kg) > Zn (119.03 ± 70.04 mg/kg) > Cr (36.80 ± 8.50 mg/kg) > Ni (34.86 ± 8.05 mg/kg) > Cu (30.56 ± 4.85 kg/kg) > Co (12.12 ± 3.31 mg/kg) > Pb (9.26 ± 3.29 mg/kg) > As (7.36 ± 5.98 mg/kg) > Hg (0.22 ± 0.19 mg/kg) > Cd (0.21 ± 0.15 mg/kg). Analysis of environmental risk assessment indices yielded low to moderate contamination throughout the study area. Enrichment factor (EF) analysis for As and Zn revealed significant levels of enrichment for these two, reflecting their heightened concentrations compared to guideline values. Results from health risk analysis indices, that is hazard quotient (HQ) and hazard index (HI), demonstrated adults to be on the safer side whereas children were prone to developing cancer from long-term exposure to As. Correlation matrix, principal component analysis (PCA), and cluster analysis (CA) suggested geogenic sources for Zn, and Mn and synthetic sources for other metals. These findings attributed the presence and accumulation of n-RMs in soil to icreased human activities in the area, which in turn facilitate their uptake by plants exposing the residents of the study site to grave health impacts. The accumulation of n-RMs poses significant risks to ecosystems, including aquatic life, crops, agricultural fields, and water reservoirs.</p>","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"47 4","pages":"126"},"PeriodicalIF":3.2,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143677044","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":"Sources and health risk of metallic elements assessment: a study of a representative industrial city.","authors":"Jinfeng Xiao, Yongchao Sun, Jianjiang Lu, Li Cao, Zilong Liu, Yujun Yan, Weijun Li, Shaohua He","doi":"10.1007/s10653-025-02440-w","DOIUrl":"10.1007/s10653-025-02440-w","url":null,"abstract":"<p><p>PM_2.5 in the air can adsorb a wide range of substances, and due to their small size, they can carry toxic and hazardous substances into the human body through inhalation, which can be harmful to human health. PM_2.5 samples were collected in Shihezi for one year from September 2021 to August 2022 to characterise the distribution of 13 metallic elements in PM_2.5 and their potential sources. The findings revealed that the concentrations of PM_2.5 surpassed the national threshold of 35 μg/m³, alongside elevated levels of crustal elements. To assess the potential sources of the 13 metallic elements, present in PM_2.5, a comprehensive analysis was conducted utilizing Enrichment Factor analysis, principal component analysis (PCA), and Backward Trajectory Modelling. The Enrichment Factors analysis revealed that five elements were significantly influenced by anthropogenic activities, with cadmium exhibiting particularly high levels of enrichment. PCA indicated that the metal elements were predominantly sourced from coal combustion, vehicular emissions, dust, fossil fuel combustion and industrial activities. Backward trajectory cluster analysis demonstrated that pollutant concentrations are substantially affected by both long-range transport mechanisms and localized anthropogenic sources. The assessment of health risks associated with metallic elements suggests a low risk to human health. These findings offer a crucial scientific foundation for air pollution management strategies in the SHZ region.</p>","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"47 4","pages":"125"},"PeriodicalIF":3.2,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143669428","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":"Changes in electron distribution of aged microplastic and their environmental impacts in aquatic environments.","authors":"Cong Li, Lixia Shi, Tao Liu, Keke Dong, Weiwei Ren, Yunshu Zhang","doi":"10.1007/s10653-025-02430-y","DOIUrl":"10.1007/s10653-025-02430-y","url":null,"abstract":"<p><p>Microplastics (MPs) are widespread environmental pollutants. This study primarily examines the changes in electro distribution of aged MPs in aquatic environments and their subsequent impact on the environment. Under the action of natural and artificial aging, the electron cloud arrangement of MPs will change, thus affecting the relevant properties of MPs. Among them, the free radicals formed by advanced oxidation technology will be enriched on the surface of MPs carrying benzene rings, and react with other pollutants (organic pollutants, heavy metals, etc.) adsorbed by MPs to form environmental persistent free radicals (EPFRs). The electron cloud density of MPs carrying EPFRs increases, and the reactivity will also increase. Additionally, the oxygen-containing functional groups on the surface of aged MPs enhance their selective adsorption, altering their environmental impact. MPs can serve as a source of free radicals in the environment, enhance the oxidation capacity of other substances in the environment, and even affect the expression of antibiotic resistance genes. In addition, MPs have a high mobility, which will have a greater negative impact in the environment. Additionally, the high mobility of MPs amplifies their negative environmental impact. This study examines the changes in electron distribution of aged MPs and highlights their effects on aquatic ecosystems, providing insights into pollution control, toxicity, and degradation mechanisms.</p>","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"47 4","pages":"124"},"PeriodicalIF":3.2,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143669426","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":"Adsorption of As(III) to schwertmannite: impact factors and phase transformation.","authors":"Hao Li, Wenjie Song, Zhichao Li, Dagula Du, Changwei Lü, Zhongli Wang, Jiang He","doi":"10.1007/s10653-025-02433-9","DOIUrl":"10.1007/s10653-025-02433-9","url":null,"abstract":"<p><p>The phase transformation of Schwertmannite (SCH) can significantly affect the interface behavior and toxic effect of As(III). Previous studies have predominantly focused on pollutants adsorption by SCH on a long-time scale (such as 30 days), without paying attention to the adsorption characteristics within shorter time frames (e.g., within 24 h). This work compared the adsorption characteristics of As(III) on three synthesized SCHs under various environmental conditions. The adsorption of As(III) by M-SCH (SCH synthesized by KMnO₄ oxidation method) and Y-SCH (SCH synthesized by ethanol modification method) were governed by physical adsorption, while that of H-SCH (SCH synthesized by H₂O₂ oxidation method) was dominated by chemisorption. Acidity, selected ions (NO₃^-, Ca²⁺, CO₃^2-, and PO₄^3-), fulvic acid (FA), and Sb(III) adversely impacted the As(III) adsorption by SCHs. Furthermore, alkalinity, selected ions and FA induced the phase transformation of SCHs to iron hydroxide, while no transformation was observed in the presence of Sb(III) and Cr(VI). The iron hydroxide observed in this study is presumed to represent an intermediate stage in the transformation of SCH into goethite. These findings enhance our comprehension of the transformation process of SCH to goethite and provide scientific insights for SCH utilization in immobilizing As(III) in water.</p>","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"47 4","pages":"122"},"PeriodicalIF":3.2,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143669278","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":"Provenance and distribution of potentially toxic elements (PTEs) in stream sediments from the eastern Hg-district of Mt. Amiata (central Italy).","authors":"Federica Meloni, Enrico Dinelli, Jacopo Cabassi, Barbara Nisi, Giordano Montegrossi, Daniele Rappuoli, Orlando Vaselli","doi":"10.1007/s10653-025-02434-8","DOIUrl":"10.1007/s10653-025-02434-8","url":null,"abstract":"<p><p>Geochemical analysis of Potentially Toxic Elements (PTEs) in stream sediments is essential for understanding environmental impacts in areas with complex geology and mining activities. This study focuses on stream sediments from the eastern sector of the Mt. Amiata Hg-district (central Italy) to define the background values of As, Sb, Cr, V, Co, Cu, Ni, and Hg, the latter being speciated to assess its bioavailability and mobility for potential environmental risks. The stream sediments are divided into four different groups: (1) Volcanic, (2) Volcanic-dominated, (3) Sedimentary-dominated, and (4) Sedimentary. This subdivision is confirmed by spatial distribution maps. While Cr, Co, V, Cu, and Ni are related to mafic and ultramafic rocks, Hg shows higher concentrations (up to 850 mg/kg) close to the former mining sites and organic-rich areas. In streams draining the Mt. Amiata volcanics and hydrothermal zones, As is up to 311 mg/kg while Sb is uniformly distributed (up to 84 mg/kg), though depleted in volcanic rocks. Consolidated sediment clusters (group 1 and group 2 and group 3 and group 4, respectively) are used to calculate the geochemical background values (crucial for post-extractive land reclamation), which result to overcome the concentrations imposed by the Italian law for Hg in both clusters, As in cluster 1 and Co in cluster 2 (5.2-6.3, 20-24.3, 39.7-48.5, and 26.3-32.2 mg/kg, respectively). In the stream sediments, Hg speciation by thermal desorption highlights the presence of stable Hg forms. Thus, low Hg bioavailability is expected, being also consistent with the soils from the nearby mining areas.</p>","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"47 4","pages":"123"},"PeriodicalIF":3.2,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11925987/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143669427","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":"Biochar and sodium carboxymethyl cellulose (CMC) improve the soil matrix for treating highway rainwater runoff.","authors":"Tianhong Zhou, Douhong Yang, Huidong Shen, Yumei Ou, Wenqing Han, Lixia Wang, Kai Ma","doi":"10.1007/s10653-025-02446-4","DOIUrl":"10.1007/s10653-025-02446-4","url":null,"abstract":"<p><p>In view of the rainwater pollution problems in highway runoff on the Northwest Expressway, especially heavy metal pollution and poor soil water retention, this study focused on the sandy soils along the highway sides in Qilian Mountain National Park, Gansu Province. It investigated the removal of pollutants as well as water and fertilizer retention effects in simulated highway rainwater runoff using four amendments: carboxymethyl cellulose (CMC), corn straw biochar, corn cob biochar, and rice husk biochar, both individually and in combination. Through permeability tests, evaporation tests, and static adsorption experiments, the optimal soil treatment for runoff rainwater was determined. Experiments showed that mixing soil with quartz sand in a 4:6 ratio and adding 5% rice husk biochar and 0.1% CMC can significantly enhance the adsorption of various pollutants and improve soil moisture retention. We packed the initially selected improved soil matrix into columns, initiated operation, and set the influent flow rate to 9 mL/min. During stable operation, the average retention rates of nutrients-ammonia nitrogen (NH₄⁺-N), total phosphorus, and chemical oxygen demand-from highway runoff were 81.75%, 66.72%, and 77.97%, while the average removal rates of copper (II) (Cu²⁺) and chromium (VI) (Cr⁶⁺) were 91.94% and 84.18%, respectively. After operation, the residual forms of copper (Cu) and chromium (Cr) in the soil matrix accounted for 56.96% and 52.28%. The transformation of Cu and Cr into stable residual forms with low migration risk effectively reduced their environmental impact.</p>","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"47 4","pages":"121"},"PeriodicalIF":3.2,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143669425","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":"Monitoring air pollutants in urbanized hydrothermal areas: challenges and benefits of traditional measurement strategies.","authors":"Leonardo Fantini, Stefania Venturi, Francesco Capecchiacci, Tullio Ricci, Rebecca Biagi, Franco Tassi","doi":"10.1007/s10653-025-02422-y","DOIUrl":"10.1007/s10653-025-02422-y","url":null,"abstract":"<p><p>Carbon- and sulfur-bearing gases are emitted at relevant amounts from hydrothermal manifestations at Tivoli Terme (Latium, central Italy), where different potential anthropogenic contaminant sources also occur. This study presents a geochemical dataset including CO₂, CH₄, SO_2, and H₂S concentrations and δ¹³C-CO₂ and δ¹³C-CH₄ values measured in air at the center of Tivoli town. The main aim was to evaluate the impact on air quality of hydrothermal manifestations and anthropogenic activities employing a traditional stationary monitoring strategy. The analytical results reveal significant air contamination from both natural and anthropogenic emissions, although gas levels were below outdoor air quality thresholds. Carbon dioxide and CH₄ were primarily linked to anthropogenic sources, while hydrothermal emissions played a secondary role. However, H₂S concentrations up to 282 ppb highlighted a notable impact from hydrothermal emissions surrounding the measurement station, where SO₄-rich pools are located. Nevertheless, the geochemical data did not provide a reliable estimate of the specific contributions from each source. The study identifies key limitations in relying on a single fixed monitoring station, as weather conditions highly influence it and cannot reliably capture the relative impacts of various sources across a broad area. Additionally, compositional and isotopic geochemical parameters often produce ambiguous results, complicating the differentiation of pollution sources. An integrated approach is recommended, combining mobile stations for periodic pollutant mapping with low-cost instruments deployed at strategic locations near potential sources and progressively farther away. This strategy could better track the spatial and temporal evolution of contaminant concentrations, addressing the shortcomings of current monitoring systems and enhancing mitigation efforts.</p>","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"47 4","pages":"120"},"PeriodicalIF":3.2,"publicationDate":"2025-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11911267/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143647783","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":"Integrated machine learning based groundwater quality prediction through groundwater quality index for drinking purposes in a semi-arid river basin of south India.","authors":"D Karunanidhi, M Rhishi Hari Raj, Priyadarsi D Roy, T Subramani","doi":"10.1007/s10653-025-02425-9","DOIUrl":"10.1007/s10653-025-02425-9","url":null,"abstract":"<p><p>The main objective of this study is to predict and monitor groundwater quality through the use of modern Machine Learning (ML) techniques. By employing ML techniques, the research effectively evaluates groundwater quality to forecast its future trends. Five machine learning models Logistic Regression (LR), Support Vector Machine (SVM), Random Forest (RF), Adaptive Boosting (AdaBoost), Extreme Gradient and Boosting (XGBoost) were used here to predict the water quality by assessing the physical and chemical parameters such as electrical conductivity (EC), hydrogen ion (pH) concentration, total dissolved solids (TDS), chemical parameters such as, sodium (Na⁺), magnesium (Mg²⁺), calcium (Ca²⁺), potassium (K⁺), bicarbonates (HCO₃^-), fluoride (F^-), sulphate (SO₄^2-), chloride (Cl^-), and nitrate (NO₃^-) in 94 dug and bore wells from the semi-arid river basin (Arjunanadi) in Tamil Nadu, India. The pH of the samples is alkaline nature. Gibb's diagram suggested the rock-water dominance and minor influence of evaporation and crystallization on the hydrochemistry. From water quality index, 599.75 km² (53%) of area has a good quality and 536.75 km² (47%) of area has poor water quality. Water Quality Index values (WQI) of water quality formed baseline data for the prediction models as a dependent variable, and the physicochemical parameters were used as independent variables. The model efficacies were assessed using statistical error such as Relative Squared Residual (RSR) error, Nash-Sutcliffe efficiency (NSE), Mean Absolute Percentage Error (MAPE), Coefficient of determination (R²) and final accuracy. In this study, the LR model provided the minimal error (RSR = 0.22, NSE = 0.95, MAPE = 1.3) with an accuracy of 95% in predicting the water quality. The performance of the ML models is in the sequence of SVM > Adaboost > XGBoost > RF. This study helps the lawmakers and administrators for creating awareness on modern techniques for predicting and monitoring groundwater quality on the general public and supporting to achieve the sustainable development goals 3 and 6 for clean and healthy community.</p>","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"47 4","pages":"119"},"PeriodicalIF":3.2,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143630328","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}