Extent of anthropogenic influence on groundwater quality and human health-related risks: an integrated assessment based on selected physicochemical characteristics

Geocarto International, Год журнала: 2023, Номер 38(1)

Опубликована: Май 2, 2023

The majority of people living on earth rely groundwater as their primary supply water for daily needs. However, human activities continuously threaten this natural resource. In an attempt to unravel the extent impact human-related physicochemical characteristics in Nnewi and Awka urban clusters (Nigeria), several techniques were integrated study. Groundwater samples warm acidic nature. Concentrations SO42-, NO3-, PO43-, Cl-, HCO3-, Ca2+, Mg2+, Na+ K+ within set benchmarks. nutrient pollution index (ranging from 0.060 0.745), nitrate (varying between −0.999 −0.790) 0.057 0.630) estimated anthropogenic contamination showed low characteristics. health risks due ingestion skin absorption nitrate-contaminated computed six age groups (6–12 months, 5–10 years, 10–15 15–20 20–60 years >60 years) risk values that < 1, implying chronic humans. cumulative total hazard ranged 0.006 0.787 with a mean value 0.167. Chemometric analyses geochemical plots revealed relationships variables sources. Chadha's plot 55% Ca2+-Mg2+-Cl- waters, predominating over Na+-Cl- Ca2+-Mg2+-HCO3- waters. Bivariate multivariate also indicated impact. Furthermore, principal component analysis R-type hierarchical clustering confirmed chemistry quality mostly influenced by geogenic processes than acts. Conclusively, influence is low. These findings would be useful future monitoring both clusters.

Язык: Английский

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A multi-model study for understanding the contamination mechanisms, toxicity and health risks of hardness, sulfate, and nitrate in natural water resources

Environmental Science and Pollution Research, Год журнала: 2023, Номер 30(22), С. 61626 - 61658

Опубликована: Март 17, 2023

Язык: Английский

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A secondary modal decomposition ensemble deep learning model for groundwater level prediction using multi-data

Environmental Modelling & Software, Год журнала: 2024, Номер 175, С. 105969 - 105969

Опубликована: Фев. 7, 2024

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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Two-Dimensional Monte Carlo Simulation Coupled with Multilinear Regression Modeling of Source-Specific Health Risks from Groundwater

Journal of Hazardous Materials, Год журнала: 2025, Номер unknown, С. 137309 - 137309

Опубликована: Янв. 1, 2025

Язык: Английский

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Hydrogeochemical evaluation and corresponding health risk from elevated arsenic and fluoride contamination in recurrent coastal multi-aquifers of eastern India

Journal of Cleaner Production, Год журнала: 2022, Номер 369, С. 133150 - 133150

Опубликована: Июль 31, 2022

Язык: Английский

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Hydrogeochemical characterization based water resources vulnerability assessment in India's first Ramsar site of Chilka lake

Marine Pollution Bulletin, Год журнала: 2022, Номер 184, С. 114107 - 114107

Опубликована: Сен. 11, 2022

Язык: Английский

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Hydro-chemical assessment of groundwater pollutant and corresponding health risk in the Ganges delta, Indo-Bangladesh region

Journal of Cleaner Production, Год журнала: 2022, Номер 382, С. 135229 - 135229

Опубликована: Ноя. 22, 2022

Язык: Английский

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GIS integrated RUSLE model-based soil loss estimation and watershed prioritization for land and water conservation aspects

Frontiers in Environmental Science, Год журнала: 2023, Номер 11

Опубликована: Март 3, 2023

Land degradation has become one of the major threats throughout globe, affecting about 2.6 billion people in more than 100 countries. The highest rate land is Asia, followed by Africa and Europe. Climate change coupled with anthropogenic activities have accelerated developing nations. In India, affected 105.48 million hectares. Thus, modeling mapping soil loss, assessing vulnerability threat active erosional processes a region are challenges from water conservation aspects. present study attempted rigorous to estimate loss Banas Basin Rajasthan state, using GIS-integrated Revised Universal Soil Loss Equation (RUSLE) equation. Priority ranking was computed for different watersheds terms degree their catchments, so that appropriate measures can be implemented. total area basin (68,207.82 km 2 ) systematically separated into 25 ranging 113.0 7626.8 . Rainfall dataset Indian Meteorological Department 30 years (1990–2020), FAO based map characterization, ALOS PALSAR digital elevation model topographic assessment, Sentinal-2 use cover were integrated erosion/loss risk assessment. annual recorded as 21,766,048.8 tons. areas under very low (0–1 t ha -1 year ), (1–5 medium (5–10 high (10–50 extreme (&gt;50 categories 24.2, 66.8, 7.3, 0.9, 0.7%, respectively, whereas respective average values obtained 0.8, 3.0, 6.0, 23.1, 52.0 among range 1.1–84.9 , being (84.9 WS18, WS10 (38.4 SW25 (34.7 WS23 (17.9 it lowest WS8 (1.1 ). WS18 highest/top priority rank considered first planning implementation. quantitative results this would useful implementation problematic controlling through erosion.

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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