Comparison of multicriteria decision-making techniques for groundwater recharge potential zonation: case study of the willochra basin, South Australia
| dc.contributor.author | Ahmed, A. | |
| dc.contributor.author | Ranasinghe Arachchilage, C. | |
| dc.contributor.author | Alrajhi, A. | |
| dc.contributor.author | Hewa, G. | |
| dc.date.issued | 2021 | |
| dc.description.abstract | In semi-arid regions, groundwater resources play a crucial role in all economic, environmental, and social processes. However, the occurrence, movement, and recharge of these hidden and valuable resources vary from place to place. Therefore, better management practices and mapping of groundwater recharge potential zones are needed for the sustainable groundwater resources. For an example, groundwater resources in Willochra Basin are vitally important for drinking, irrigation, and stock use. This study shows the significance of the application of three decision-making approaches, including multi-influencing factor, analytical hierarchy process, and frequency ratio techniques in the identification of groundwater potential zones. A total of seven criteria, including lithology, slope, soil texture, land-use, rainfall, drainage density, and lineament density, were extracted from conventional and remote sensing data sources. The parameters and their assigned weights were integrated using Geographic Information System (GIS) software to generate recharge potential maps. The resultant maps were evaluated using the area under the curve method. The results showed that the southern regions of the Willochra Basin are more promising for groundwater recharge potential. The map produced using the frequency ratio model was the most efficient (84%), followed by the multi-influencing factor model (70%) and then the analytical hierarchy process technique (62%). The area under the curve method agreed when evaluated using published weights and rating values. | |
| dc.identifier.citation | Water (Switzerland), 2021; 13(4, article no. 525):1-26 | |
| dc.identifier.doi | 10.3390/w13040525 | |
| dc.identifier.issn | 2073-4441 | |
| dc.identifier.issn | 2073-4441 | |
| dc.identifier.uri | https://hdl.handle.net/11541.2/147820 | |
| dc.language.iso | en | |
| dc.publisher | MDPI AG | |
| dc.rights | Copyright 2021 by the authors.Licensee MDPI, Basel, Switzerland.This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/) | |
| dc.source.uri | https://doi.org/10.3390/w13040525 | |
| dc.subject | multicriteria decision-making | |
| dc.subject | geographic information systems | |
| dc.subject | water resources | |
| dc.subject | groundwater recharge | |
| dc.title | Comparison of multicriteria decision-making techniques for groundwater recharge potential zonation: case study of the willochra basin, South Australia | |
| dc.type | Journal article | |
| pubs.publication-status | Published | |
| ror.fileinfo | 12228498150001831 13228488150001831 water-13-00525-v3.pdf | |
| ror.mmsid | 9916504007901831 |
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