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Groundwater vulnerability assessment using GIS-based DRASTIC method in the irrigated and coastal region of Sindh province, Pakistan
Author(s) -
Asfandyar Shahab,
Shihua Qi,
Saeed Rad,
Souleymane Keïta,
Majid Khan,
Syed Adnan
Publication year - 2018
Publication title -
hydrology research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.665
H-Index - 48
eISSN - 1996-9694
pISSN - 0029-1277
DOI - 10.2166/nh.2018.001
Subject(s) - groundwater recharge , aquifer , environmental science , hydrology (agriculture) , groundwater , water table , vulnerability index , vulnerability (computing) , water quality , contamination , geographic information system , water resource management , geography , physical geography , geology , cartography , oceanography , ecology , climate change , geotechnical engineering , computer security , computer science , biology
This study aims to evaluate the vulnerability of shallow aquifer in irrigated and coastal region of Sindh province, Pakistan by applying DRASTIC method in GIS environment. Vulnerability index values ranging from 119 to 200 were categorized into three contamination risk zones. Results illustrated that 28.03% of the total area that was distributed in the upper northern and southern most coastal area of the province was very highly vulnerable to contamination, 56.76% of the area was highly vulnerable, while the remaining 15.21% area was in medium vulnerable zone. Single and multi-parameter sensitivity analysis evaluated the relative importance of each DRASTIC parameter and illustrated that depth to water table and net recharge caused the highest variation in the vulnerability index. Two water quality indicators parameters, i.e., electrical conductivity (EC) and nitrate ion (NO 3 − ) were used to validate the DRASTIC index. The spatial distribution map of both parameters showed a certain level of similarity with the vulnerability map and both parameters illustrated significant correlation with the DRASTIC vulnerability index ( p 3 − contamination. Findings of this study will assist local authorities in contamination prevention in the groundwater of the lower Indus Plain.

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