Groundwater vulnerability assessment using GIS-based DRASTIC method in the irrigated and coastal region of Sindh province, Pakistan

Author:

Shahab Asfandyar1,Shihua Qi2,Rad Saeed1,Keita Souleymane3,Khan Majid4,Adnan Syed5

Affiliation:

1. College of Environmental Sciences and Engineering, Guilin University of Technology, Guilin, 541004, China

2. School of Environmental Studies, China University of Geosciences (Wuhan), Lumo Lu 388, Wuhan 430074, Hubei, China

3. Department of Civil engineering, ENI-ABT, Av. Van Vollenhoven, P.O. Box, 242 Bamako, Mali

4. Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, China

5. University of Eastern Finland, Faculty of Forest Sciences, P.O. Box 111, FI-80101 Joensuu, Finland

Abstract

Abstract This study aims to evaluate the vulnerability of shallow aquifer in irrigated and coastal regions of Sindh province, Pakistan by applying DRASTIC method in geographical information system (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 southernmost 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 (NO3−) 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 < 0.01). This signified that vulnerable zones are particularly more prone to EC and NO3− contamination. Findings of this study will assist local authorities in contamination prevention in the groundwater of the lower Indus Plain.

Publisher

IWA Publishing

Subject

Water Science and Technology

Reference34 articles.

1. Evaluation of local groundwater vulnerability based on DRASTIC index method in Lahore, Pakistan;Geofísica Internacional,2014

2. Assessment of groundwater quality in the coastal area of Sindh province, Pakistan;Environmental Monitoring and Assessment,2016

3. Aller L. , BennetT., LehrJ. H. & PettyR. J.1987DRASTIC: A Standardized System for Evaluating Groundwater Pollution Potential Using Hydro Geologic Settings. USEPA document no. EPA/600/2-85-018.

4. A GIS-based Drastic model for assessing aquifer vulnerability in Amman-Zerqa Groundwater Basin, Jordan;Engineering,2013

Cited by 23 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3