Vulnerability assessment of an agro-stressed aquifer using a source-pathway-receptor model in GIS

Hussain, Yawar; Ullah, Sadia Fida; Aslam, Abdul Qayyum; Hussain, Muhammad Babar; Akhter, Gulraiz; Martinez-Carvajal, Hernan; Satgé, Frederic; Ashraf, Arshad; Iqbal, Bilal; Cárdenas‐Soto, Martín

doi:10.1007/s40808-017-0320-1

Cited by 7 publications

(2 citation statements)

References 14 publications

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“…[ 54 ] A high concentration of Mg 2+ in groundwater upsurges the alkalinity which decreases the productivity of crop and inhibits the infiltration capacity of the soil. [ 55 ] In this study, the MAR vaues of groundwater, in VRB, reflects Ca 2+ in low concentration along with Mg 2+ in high concentration.…”

Section: Resultsmentioning

confidence: 67%

Assessment of Groundwater Quality and Associated Human Health Risk of Central Gujarat, India

Siddha

Sahu

2020

CLEAN Soil Air Water

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The groundwater quality of Vishwamitri River Basin (VRB), Central Gujarat, is assessed to evaluate its competency to meet the agricultural and drinking standards, and to determine associated human-health risk by consumption of this groundwater, if any. The overall groundwater quality for drinking is expressed by water quality index. Various indices like sodium adsorption ratio, salinity hazard, soluble sodium percentage, magnesium adsorption ratio, and Kelly's ratio represent groundwater's agricultural suitability. A health risk assessment model is used to measure non-carcinogenic human health hazard. Results reveal that i) trace metals like lithium, manganese, molybdenum, strontium, thallium, vanadium and zinc are present in groundwater indicating contamination of groundwater by hazardous industrial and agricultural wastes; ii) groundwater of about 78% of VRB area is unsuitable for drinking; iii) positive values of Schoeller index of maximum groundwater samples indicate that ion exchange of Na + and K + with Ca 2+ and Mg 2+ is the dominant mechanism to control the quality of groundwater; iv) SAR values indicate high to very high salinity of groundwater and therefore, it is unsuitable for irrigation; and v) the health risk assessment model discloses that the risk of gastrointestinal disorder is higher in children than adults; and oral ingestion is more dangerous than dermal exposure.

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Section: Resultsmentioning

confidence: 67%

Assessment of Groundwater Quality and Associated Human Health Risk of Central Gujarat, India

Siddha

Sahu

2020

CLEAN Soil Air Water

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“…Also, using sensitivity analysis, water depth, land use, and topography parameters were selected as the most effective parameters. Hussain et al (2017) evaluated a stressedaquifer in the Kut Do area in the Punjab Plain in India using DRASTIC model. This area is of environmental concern due to the increase of uncontrolled agriculture and source of non-point pollution and salinity.…”

Section: Introductionmentioning

confidence: 99%

Anthropic Pollution Impacts on Groundwater Vulnerability Based on Modified DRASTIC-FAHP

Goodarzi

Niknam

Jamali

et al. 2021

Preprint

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In arid and semi-arid regions such as Iran, groundwater is more important for humans and ecosystems than surface water. Different models of groundwater vulnerability assessment can be used to better manage water resources. The purpose of this study is to evaluate the qualitative vulnerability of groundwater resources in the Birjand Plain aquifer using the DRASTIC model and 7 hydrogeological components. DRASTIC model was also modified by adding a land use component (MDRASTIC) based on Analytical Hierarchy Process (AHP) and Fuzzy Analytic Hierarchy Process (FAHP) methods. After calculating the vulnerability index, the vulnerability of each method was mapped and the final index obtained from each method was classified into 4 different categories. Nitrate concentration was used to confirm the results and to analyze the sensitivity of a single parameter. Sensitivity analysis showed that the groundwater vulnerability is mainly affected by water depth and land use. To validate each of the models, their correlation with nitrate concentration was calculated and compared. To determine the correlation coefficient, simple linear regression method was performed and the Pearson and Spearman methods were used. According to the obtained Pearson correlation results, the DRASTIC, MDRASTIC, MDRASTIC-AHP, and MDRASTIC-FAHP models resulted in values of 0.550, 0.680, 0.778, and 0.794respectively. The results show a good correlation between the modified DRASTIC-FAHP model and nitrate concentration as an indicator of groundwater pollution.

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Drastic model application to groundwater vulnerability elucidation for decision making: the case of south western coastal basin, Ghana

Yankey

Anornu

Osae

et al. 2020

Model. Earth Syst. Environ.

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Vulnerability assessment of an agro-stressed aquifer using a source-pathway-receptor model in GIS

Cited by 7 publications

References 14 publications

Assessment of Groundwater Quality and Associated Human Health Risk of Central Gujarat, India

Assessment of Groundwater Quality and Associated Human Health Risk of Central Gujarat, India

Anthropic Pollution Impacts on Groundwater Vulnerability Based on Modified DRASTIC-FAHP

Drastic model application to groundwater vulnerability elucidation for decision making: the case of south western coastal basin, Ghana

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