A review on the application of the DRASTIC method in the assessment of groundwater vulnerability
Author(s) -
Priyank Patel,
Darshan Mehta,
Neeraj Sharma
Publication year - 2022
Publication title -
water science and technology water supply
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.318
H-Index - 39
eISSN - 1607-0798
pISSN - 1606-9749
DOI - 10.2166/ws.2022.126
Subject(s) - groundwater , vulnerability (computing) , aquifer , environmental science , agriculture , water resource management , vulnerability assessment , environmental resource management , environmental planning , computer science , geography , engineering , computer security , psychology , geotechnical engineering , archaeology , psychological resilience , psychotherapist
Industrial and municipal wastes, agricultural contamination owing to pesticides and chemical hazards, seawater intrusion in coastal areas, and other factors damage groundwater. In several towns and industrial clusters across India, is becoming a rising subject of concern. Groundwater is difficult to contaminate, but once contaminated, it is difficult to clean up. It is critical to attain this goal using a variety of aquifer vulnerability assessment approaches. All of these strategies rely on process models as well as statistical or overlay index methodologies. Groundwater vulnerability is a major topic of discussion due to declining groundwater levels and rising contamination, posing a serious threat to the environment and water sources. To identify the risk and to assess the vulnerability extensive research has carried out among them all the methods are worked based on the different parameters and different indexes. DRASTIC method is one of the most important and accurate method of overlay and index method for the assessment of groundwater vulnerability. This research study is a systematic analysis of the available research articles on the applications of DRASTIC and Modified DRASTIC (DRASTIC-L) performance management process on Geographical Information Systems (GIS).This research also reveals research gaps in the various groundwater vulnerability assessment approaches, as well as their limits and hypotheses.This study discovered that integrating GIS with DRASTIC is the most effective and accurate way for determining groundwater vulnerability. In the agricultural, arid, semi-arid, and basaltic zones, the modified DRASTIC model also outperforms the traditional DRASTIC model.
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