Document Type

Article

Source of Publication

Environmental Engineering Research

Publication Date

3-1-2018

Abstract

© 2018 Korean Society of Environmental Engineers. The present study deals with the management of groundwater resources of an important agriculture track of north-western part of Saudi Arabia. Due to strategic importance of the area efforts have been made to estimate aquifer proneness to attenuate contamination. This includes determining hydrodynamic behavior of the groundwater system. The important parameters of any vulnerability model are geological formations in the region, depth to water levels, soil, rainfall, topography, vadose zone, the drainage network and hydraulic conductivity, land use, hydrochemical data, water discharge, etc. All these parameters have greater control and helps determining response of groundwater system to a possible contaminant threat. A widely used DRASTIC model helps integrate these data layers to estimate vulnerability indices using GIS environment. DRASTIC parameters were assigned appropriate ratings depending upon existing data range and a constant weight factor. Further, land-use pattern map of study area was integrated with vulnerability map to produce pollution risk map. A comparison of DRASTIC model was done with GOD and AVI vulnerability models. Model validation was done with NO3, SO4 and Cl concentrations. These maps help to assess the zones of potential risk of contamination to the groundwater resources.

ISSN

1226-1025

Publisher

Korean Society of Environmental Engineers

Volume

23

Issue

1

First Page

84

Last Page

91

Disciplines

Life Sciences

Keywords

Al Hail, DRASTIC aquifer vulnerability, Groundwater resources, Landuse pattern, Risk map, Saudi Arabia

Scopus ID

85044947664

Creative Commons License

Creative Commons Attribution-Noncommercial 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License

Indexed in Scopus

yes

Open Access

yes

Open Access Type

Hybrid: This publication is openly available in a subscription-based journal/series

Included in

Life Sciences Commons

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