Soil, air, and water pollution from mining and industrial activities: sources of pollution, environmental impacts, and prevention and control methods

Results in Engineering, Год журнала: 2024, Номер 23, С. 102729 - 102729

Опубликована: Авг. 15, 2024

Язык: Английский

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Toward Decontamination in Coastal Regions: Groundwater Quality, Fluoride, Nitrate, and Human Health Risk Assessments within Multi-Aquifer Al-Hassa, Saudi Arabia

Water, Год журнала: 2024, Номер 16(10), С. 1401 - 1401

Опубликована: Май 14, 2024

Contamination in coastal regions attributed to fluoride and nitrate cannot be disregarded, given the substantial environmental public health issues they present worldwide. For effective decontamination, it is pivotal identify regional pollution hotspots. This comprehensive study was performed assess spatial as well indexical water quality, contamination sources, hotspots, evaluate associated risks pertaining Al-Hassa region, KSA. The physicochemical results revealed a pervasive of overall groundwater. dominant type Na-Cl, indicating saltwater intrusion reverse ion exchange impact. Spatiotemporal variations properties suggest diverse hydrochemical mechanisms, with geogenic factors primarily influencing groundwater chemistry. index varied between 0.8426 4.7172, classifying samples moderately very highly polluted. Similarly, synthetic (in range 0.5021–4.0715) that none had excellent various degrees categories. Nitrate quotient (HQ) values indicated chronic human ranging from low severe, infants being most vulnerable. Household use nitrate-rich for showering cleaning did not pose significant risks. Fluoride HQ decreased age, children faced highest risk fluorosis. hazard (HI) yielded moderate- high-risk values. were 1.21 times higher than risks, per average HI assessment. All fell into vulnerable category based on total (THI), 88.89% classified high risk. research provides valuable insights guiding authorities, inhabitants, researchers identifying safe regions, populations. highlight need appropriate treatment techniques long-term management plans.

Язык: Английский

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Using unsupervised machine learning models to drive groundwater chemistry and associated health risks in Indo-Bangla Sundarban region

Chemosphere, Год журнала: 2024, Номер 351, С. 141217 - 141217

Опубликована: Янв. 20, 2024

Язык: Английский

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Hydrogeochemical evaluation for human health risk assessment from contamination of coastal groundwater aquifers of Indo-Bangladesh Ramsar site

Journal of Cleaner Production, Год журнала: 2023, Номер 399, С. 136647 - 136647

Опубликована: Март 3, 2023

Язык: Английский

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Groundwater vulnerability assessment in central Iran: Integration of GIS-based DRASTIC model and a machine learning approach

Groundwater for Sustainable Development, Год журнала: 2023, Номер 23, С. 101037 - 101037

Опубликована: Ноя. 1, 2023

The study try to evaluate the susceptibility of groundwater. DRASTIC model was implemented through GIS. Various input variables, such as water table depth, net recharge, aquifer and soil media, topography, vadose zone impact, hydraulic conductivity, were evaluated within generate a groundwater vulnerability map. Subsequently, machine-learning algorithms (SVM, RF, GLM) employed using SDM package in R software optimize method. To assess performance pollution risk models, training validation datasets ROC curve. results revealed that approximately 40% area fell high range, while around 30% exhibited moderate risk. Evaluation machine learning models indicated their effectiveness development. RF demonstrated highest predictive power, achieving an AUC 0.98. Additionally, GLM SVM achieved values 76%. These can serve efficient techniques for evaluating managing resources. findings underscored relatively poor quality area, with excessive exploitation by agricultural sector infiltration urban sewage industrial waste identified primary causes pollution. implications these are crucial devising strategies implementing preventive measures mitigate resource associated health risks central Iran.

Язык: Английский

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Arsenic and fluoride exposure in drinking water caused human health risk in coastal groundwater aquifers

Environmental Research, Год журнала: 2023, Номер 238, С. 117257 - 117257

Опубликована: Сен. 28, 2023

Язык: Английский

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Sustainable groundwater management in coastal cities: Insights from groundwater potential and vulnerability using ensemble learning and knowledge-driven models

Journal of Cleaner Production, Год журнала: 2024, Номер 442, С. 141152 - 141152

Опубликована: Фев. 1, 2024

Язык: Английский

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Integrated assessment of groundwater potential zones and artificial recharge sites using GIS and Fuzzy-AHP: a case study in Peddavagu watershed, India

Environmental Monitoring and Assessment, Год журнала: 2023, Номер 195(7)

Опубликована: Июнь 29, 2023

Язык: Английский

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Shallow groundwater quality and health risk assessment of fluoride and arsenic in Northwestern Jiangsu Province, China

Applied Water Science, Год журнала: 2024, Номер 14(6)

Опубликована: Май 5, 2024

Abstract Assessing groundwater quality is critical to regional water resource conservation and human health safety, especially in areas with co-existence of toxic constituents fluoride (F − ) arsenic (As). In this study, fourteen samples were collected Feng County, Northwestern Jiangsu Province identify dominant contaminants their spatial distribution risk. The composition variation characteristics major ions (K + , Na Ca 2+ Mg Cl SO 4 2− HCO 3 NO trace elements As, Mn) analyzed. hydrochemical results revealed that high F was mainly distributed the northern whereas As-riched primarily southern areas. Notably, over 85.7% 21.4% shallow exceeded drinking standard 1.5 mg/L for 10 µg/L respectively. Based on index (WQI) appraisal result, 71.4% study area classified as “poor”, thus unsuitable directly. We assessed non-carcinogenic risk (HQ Fluoride As Arsenic carcinogenic (CR ). calculated hazard quotient (HQ) indicated nearly all have an unacceptable > 1) each age group. However, HQ values 28.6%, 21.4%, posed potential risks infants, children, females, males, CR showed 0%, 28.6% 1.0 × −4 irrigation suitability assessment doubtful irrigation, owed magnesium hazards. findings will assist policymakers formulating proper remedial policies mitigation strategies ensure safety water.

Язык: Английский

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Extreme exposure of fluoride and arsenic contamination in shallow coastal aquifers of the Ganges delta, transboundary of the Indo-Bangladesh region

Geoscience Frontiers, Год журнала: 2023, Номер 15(1), С. 101725 - 101725

Опубликована: Окт. 10, 2023

Globally, shallow aquifer groundwater (GW) has been severely affected in recent decades for both geogenic and anthropogenic reasons. The hydro-geochemical characteristics of the GW change inconsistently with addition unwanted inorganic trace elements into Indo-Bangladesh delta region (IBDR), such as arsenic (As) along fluoride (F−) contamination. Contaminated can have a negative impact on drinking water supplies agricultural output. pollution serious adverse effects environment human health. Thus, quality this is deteriorating progressively, health threatening by various life-threatening disorders. Hence, current study concentrated evaluation prediction possible issues IBDR due to elevated contamination As F− within aquifers considering sixteen causative. Field survey-based statistical methods entropy index (EWQI) combined risk (HRI) was implemented evaluating sensitivity help correlation testing principal component analysis. study's outcome explains that substantial portion vastly experiencing inferior quality, environmental issues, health-related problems dry wet seasons, correspondingly exposure. Piper diagram verified suitability almost 55% across area’s are unfit well cultivation crops. Sensitivity analysis Monte Carlo simulation method were also applied assess contaminant's concentration level probable appraisal. present concludes exposure be monitored regularly prevent through implementing sustainable approaches policies fulfil development goal 6 (SDG - 6) till 2030, ensuring most basic right clean, safe, hygienic water.

Язык: Английский

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