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A GIS-based DRASTIC model for assessing aquifer susceptibility of Safdarabad Tehsil, Sheikhupura District, Punjab Province, Pakistan

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Abstract

Assessment of the vulnerability of groundwater can be defined as the area’s rate of incorporation capacity to the impurity from surface overlying the aquifer. This study is of profound importance with regard to natural resource management and land use planning. This study deals with determining shallow aquifer vulnerability by using a DRASTIC model based on GIS in Tehsil Safdarabad of District Sheikhupura in Punjab. Within a local watershed, the quality of groundwater deteriorates as a result of various physical and environmental activities. This research, therefore, uses a combination of GIS and DRASTIC to estimate groundwater assessment. Seven hydrogeological data layers are being utilized as input to the model. The layers comprise Depth of water, net Recharge, Aquifer media, Soil media, Topography, Impact of vadose zone and Hydraulic Conductivity. DRASTIC index results would assist in determining pollution vulnerable zones. Research indicates about 11.32% of the research area is highly exposed, 34.4% is at moderate risk and 54.2% is at low risk exposure. Northern, northwestern and middle sectors of the area under consideration exhibited low aquifer susceptibility, whereas some areas in the southern and northeastern parts were highly vulnerable.

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Authors and Affiliations

  1. Department of Earth Science, Quaid-I-Azam University, Islamabad, Pakistan

    Bilal Aslam

  2. Department of Civil Engineering, COMSATS University Islamabad, WAH Campus, Islamabad, Pakistan

    Sharjeel Ismail

  3. Department of Computer Science, COMSATS University Islamabad, WAH Campus, Islamabad, Pakistan

    Ibtisam Ali

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  1. Bilal Aslam
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  2. Sharjeel Ismail
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  3. Ibtisam Ali
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Correspondence to Bilal Aslam.

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Aslam, B., Ismail, S. & Ali, I. A GIS-based DRASTIC model for assessing aquifer susceptibility of Safdarabad Tehsil, Sheikhupura District, Punjab Province, Pakistan. Model. Earth Syst. Environ. 6, 995–1005 (2020). https://doi.org/10.1007/s40808-020-00735-8

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  • DOI: https://doi.org/10.1007/s40808-020-00735-8

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