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GIS-based DRASTIC method for groundwater vulnerability assessment: a review

Author

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  • S.M. Shirazi
  • H.M. Imran
  • Shatirah Akib

Abstract

Groundwater vulnerability is a burning issue all over the world due to the deterioration of groundwater level and increasing contamination which poses serious detrimental risk to the environment. To identify this risk, extensive research has been carried out to assess the groundwater vulnerability by using different methods. Generally, the process-based method, statistical method, and overlay & index methods are used in this regard. DRASTIC method is one type of overlay & index method for vulnerability assessment. This paper represents a comprehensive review of available literature on the applications of Geographic Information System (GIS)-based DRASTIC method for groundwater vulnerability assessment. Also, some other types of overlay & index methods are compared with the DRASTIC method. This study discusses the rescaling of rating ranges and modification of DRASTIC parameters, and shows the comparison of DRASTIC method with other vulnerability assessment methods. In addition, this study identifies some research gaps on the present state of groundwater vulnerability assessment and proposes some research needs for further studies. The findings of this study indicate that the combination of GIS and DRASTIC are more viable for groundwater vulnerability assessment. Furthermore, modified DRASTIC method can be used for agricultural, arid, semi-arid, and basaltic regions.

Suggested Citation

  • S.M. Shirazi & H.M. Imran & Shatirah Akib, 2012. "GIS-based DRASTIC method for groundwater vulnerability assessment: a review," Journal of Risk Research, Taylor & Francis Journals, vol. 15(8), pages 991-1011, September.
    • Handle: RePEc:taf:jriskr:v:15:y:2012:i:8:p:991-1011
    DOI: 10.1080/13669877.2012.686053
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    Cited by:

    1. Saheed Adeyinka Oke, 2020. "Regional Aquifer Vulnerability and Pollution Sensitivity Analysis of Drastic Application to Dahomey Basin of Nigeria," IJERPH, MDPI, vol. 17(7), pages 1-17, April.
    2. Krishnakumar Subramanian & V. Sreevidya & R. Venkatasubramani & Vivek Sivakumar, 2023. "DRASTIC model developed with lineament density to map groundwater susceptibility: a case study in part of Coimbatore district, Tamilnadu, India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(9), pages 10411-10423, September.
    3. Hao Wu & Hui Qian & Jie Chen & Chenchen Huo, 2017. "Assessment of Agricultural Drought Vulnerability in the Guanzhong Plain, China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(5), pages 1557-1574, March.
    4. Yong Zhang & Gary S. Weissmann & Graham E. Fogg & Bingqing Lu & HongGuang Sun & Chunmiao Zheng, 2018. "Assessment of Groundwater Susceptibility to Non-Point Source Contaminants Using Three-Dimensional Transient Indexes," IJERPH, MDPI, vol. 15(6), pages 1-19, June.
    5. Sina Sadeghfam & Yousef Hassanzadeh & Ata Allah Nadiri & Mahdi Zarghami, 2016. "Localization of Groundwater Vulnerability Assessment Using Catastrophe Theory," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(13), pages 4585-4601, October.

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