Maqsoom, A. and Aslam, B. and Alwetaishi, M. and Awais, M. and Hassan, U. and Maqsoom, S. and Alaloul, W.S. and Musarat, M.A. and Zerouali, B. and Hussein, E.E. (2021) A gis-based groundwater contamination assessment using modified drastic geospatial technique. Water (Switzerland), 13 (20). ISSN 20734441
Full text not available from this repository.Abstract
Groundwater contamination along with anthropogenic actions and land use forms are increasing threats in urbanized zones around the world. Additionally, water quality and quantity are declining due to urbanization development. DRASTIC parameters (depth to the water table, net recharge, aquifer media, soil media, topography, impact of the vadose zone, hydraulic conductivity) were considered to investigate hydrological characteristics for assessment of contamination. Having a major effect of anthropogenic activities, various susceptibility zones were produced by modifying the DRASTIC model into DRASTICA, integrating anthropogenic effects as the �A� parameter in an alphabetic system. After the assessment, the research exposes that from the total area, 14 is under very high susceptibility, 44 is of high susceptibility, 39 is of moderate susceptibility, and 3 is of low susceptibility to groundwater pollution. The results in the built-up areas and based on the parameter of nitrate in quality of water show that the altered DRASTIC model or DRASTICA model proved to give better outcomes compared with the usual DRASTIC model. The policy advisers and management authorities must use the analysis data as precaution measures so that future calamities can be avoided. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Item Type: | Article |
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Additional Information: | cited By 5 |
Uncontrolled Keywords: | Aquifers; Contamination; Geographic information systems; Groundwater pollution; Groundwater resources; Land use; Risk assessment; Topography; Water quality, Anthropogenics; Contamination assessment; Contamination risks; DRASTIC; DRASTIC model; DRASTICA model; Geospatial techniques; Gis-based; Groundwater contamination; Groundwater susceptibility, Sensitivity analysis, anthropogenic effect; aquifer pollution; assessment method; GIS; groundwater pollution; spatial analysis; urbanization; water quality |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 10 Nov 2023 03:28 |
Last Modified: | 10 Nov 2023 03:28 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/14372 |