A framework for risk assessment of groundwater contamination integrating hydrochemical, hydrogeological, and electrical resistivity tomography method

Meng, Jian; Hu, Kaiyou; Wang, Shaowei; Wang, Yaxun; Chen, Zifang; Gao, Cuiling; Mao, Deqiang

doi:10.1007/s11356-024-33030-5

Environ Sci Pollut Res

2024

DOI: 10.1007/s11356-024-33030-5

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A framework for risk assessment of groundwater contamination integrating hydrochemical, hydrogeological, and electrical resistivity tomography method

Jian Meng,

Kaiyou Hu,

Shaowei Wang

et al.

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2024

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Cited by 2 publications

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Groundwater salinization risk assessment using combined artificial intelligence models

Dhaoui,

Antunes,

Benhenda

et al. 2024

Environ Sci Pollut Res

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Groundwater salinization risk assessment using combined artificial intelligence models

Dhaoui,

Antunes,

Benhenda

et al. 2024

Environ Sci Pollut Res

View full text Add to dashboard Cite

Assessing Shallow Groundwater Quality Around the Sheba Leather Tannery Area, Wikro, North Ethiopia: A Geophysical and Hydrochemical Study

Abera,

Asfaw,

Doyoro

et al. 2024

Geosciences

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This study aimed to investigate the shallow groundwater status around the Sheba Leather Tannery area, Wikro, North Ethiopia, through geophysical and hydrochemical methods. Seventeen Vertical Electrical Soundings (VESs) acquisitions, 4 upstream and 13 downstream, of the leather tannery area were conducted. Using the data, four geoelectric profiles were generated. The aquifers’ geoelectrical layers, depth, and lateral extent were delineated. The VES curves depicted three to four resistivity layers. These alternating layers of low, moderate, and high resistivity values, traced at different VES points, were attributed to the formations’ composition and the groundwater quality status. Besides the geophysical survey, 32 water samples were collected from the area. Parameters such as electrical conductivity (EC), total dissolved solids (TDSs), pH, major ions, and heavy metals were analyzed. Moreover, PHREEQC was used to determine the groundwater mineral saturation indices where most minerals, except halite, were found supersaturated. The quality status for drinking purposes was also evaluated using the water quality index (WQI), and the water was classified as good (56.3%), poor (37.5%), and very poor (6.2%). The sodium adsorption ratio (SAR) and the percentage of sodium (Na+%) were calculated, and the results indicated that the water is suitable for direct use in irrigation.

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A framework for risk assessment of groundwater contamination integrating hydrochemical, hydrogeological, and electrical resistivity tomography method

Cited by 2 publications

References 46 publications

Groundwater salinization risk assessment using combined artificial intelligence models

Groundwater salinization risk assessment using combined artificial intelligence models

Assessing Shallow Groundwater Quality Around the Sheba Leather Tannery Area, Wikro, North Ethiopia: A Geophysical and Hydrochemical Study

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