Modelling Groundwater Vulnerability to Contamination using DRASTIC Model through Geospatial Techniques over Northern Kwazulu-Natal, South Africa
This study models groundwater vulnerability to contamination in three northern district municipalities (Amajuba, Zululand and Umkhanyakude) in KwaZulu Natal province in South Africa using GIS-based DRASTIC model. The method considers seven parameters: depth to water table (D), recharge (R), aquifer...
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| Format: | Article |
| Language: | English |
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Diponegoro University
2023-12-01
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| Series: | Geoplanning: Journal of Geomatics and Planning |
| Subjects: | |
| Online Access: | https://ejournal.undip.ac.id/index.php/geoplanning/article/view/51708 |
| _version_ | 1797367545262505984 |
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| author | Nomonde Shantel Tshiwela Mabogo Patroba Achola Odera |
| author_facet | Nomonde Shantel Tshiwela Mabogo Patroba Achola Odera |
| author_sort | Nomonde Shantel Tshiwela Mabogo |
| collection | DOAJ |
| description | This study models groundwater vulnerability to contamination in three northern district municipalities (Amajuba, Zululand and Umkhanyakude) in KwaZulu Natal province in South Africa using GIS-based DRASTIC model. The method considers seven parameters: depth to water table (D), recharge (R), aquifer media (A), soil media (S), topography (T), impact of the vadose zone (I), and hydraulic conductivity (C). DRASTIC parameter maps are generated in ArcGIS environment and relevant weights assigned. A weighted overlay analysis is then employed to generate the groundwater vulnerability map for the study area. Finally, the groundwater vulnerability map is combined with land use/cover to obtain groundwater pollution risk map. Results indicate that 22, 45, 21 and 12% of the total area are under low, moderate, high, and very high groundwater contamination vulnerable zones, respectively. Low, moderate, high, and very high groundwater pollution risk are found in 23, 40, 27 and 10% of the total area, respectively. These results can be used by environmental managers, spatial planers and other policy makers in formulating integrated and sustainable development plans to ensure optimal groundwater exploitation and conservation in the northern KwaZulu Natal region. |
| first_indexed | 2024-03-08T17:18:52Z |
| format | Article |
| id | doaj.art-70193741157e4c079cb23c6e10aebc47 |
| institution | Directory Open Access Journal |
| issn | 2355-6544 |
| language | English |
| last_indexed | 2024-03-08T17:18:52Z |
| publishDate | 2023-12-01 |
| publisher | Diponegoro University |
| record_format | Article |
| series | Geoplanning: Journal of Geomatics and Planning |
| spelling | doaj.art-70193741157e4c079cb23c6e10aebc472024-01-03T08:46:00ZengDiponegoro UniversityGeoplanning: Journal of Geomatics and Planning2355-65442023-12-0110211112210.14710/geoplanning.10.2.111-12223227Modelling Groundwater Vulnerability to Contamination using DRASTIC Model through Geospatial Techniques over Northern Kwazulu-Natal, South AfricaNomonde Shantel Tshiwela Mabogo0Patroba Achola Odera1https://orcid.org/0000-0001-9363-072XDivision of Geomatics, School of Architecture, Planning and Geomatics, University of Cape Town, Cape Town, South Africa, South AfricaDivision of Geomatics, School of Architecture Planning and Geomatics, University of Cape Town, Cape Town, South Africa, South AfricaThis study models groundwater vulnerability to contamination in three northern district municipalities (Amajuba, Zululand and Umkhanyakude) in KwaZulu Natal province in South Africa using GIS-based DRASTIC model. The method considers seven parameters: depth to water table (D), recharge (R), aquifer media (A), soil media (S), topography (T), impact of the vadose zone (I), and hydraulic conductivity (C). DRASTIC parameter maps are generated in ArcGIS environment and relevant weights assigned. A weighted overlay analysis is then employed to generate the groundwater vulnerability map for the study area. Finally, the groundwater vulnerability map is combined with land use/cover to obtain groundwater pollution risk map. Results indicate that 22, 45, 21 and 12% of the total area are under low, moderate, high, and very high groundwater contamination vulnerable zones, respectively. Low, moderate, high, and very high groundwater pollution risk are found in 23, 40, 27 and 10% of the total area, respectively. These results can be used by environmental managers, spatial planers and other policy makers in formulating integrated and sustainable development plans to ensure optimal groundwater exploitation and conservation in the northern KwaZulu Natal region.https://ejournal.undip.ac.id/index.php/geoplanning/article/view/51708drastic index,groundwater contaminationgis overlay analysisgroundwater pollution risk |
| spellingShingle | Nomonde Shantel Tshiwela Mabogo Patroba Achola Odera Modelling Groundwater Vulnerability to Contamination using DRASTIC Model through Geospatial Techniques over Northern Kwazulu-Natal, South Africa Geoplanning: Journal of Geomatics and Planning drastic index, groundwater contamination gis overlay analysis groundwater pollution risk |
| title | Modelling Groundwater Vulnerability to Contamination using DRASTIC Model through Geospatial Techniques over Northern Kwazulu-Natal, South Africa |
| title_full | Modelling Groundwater Vulnerability to Contamination using DRASTIC Model through Geospatial Techniques over Northern Kwazulu-Natal, South Africa |
| title_fullStr | Modelling Groundwater Vulnerability to Contamination using DRASTIC Model through Geospatial Techniques over Northern Kwazulu-Natal, South Africa |
| title_full_unstemmed | Modelling Groundwater Vulnerability to Contamination using DRASTIC Model through Geospatial Techniques over Northern Kwazulu-Natal, South Africa |
| title_short | Modelling Groundwater Vulnerability to Contamination using DRASTIC Model through Geospatial Techniques over Northern Kwazulu-Natal, South Africa |
| title_sort | modelling groundwater vulnerability to contamination using drastic model through geospatial techniques over northern kwazulu natal south africa |
| topic | drastic index, groundwater contamination gis overlay analysis groundwater pollution risk |
| url | https://ejournal.undip.ac.id/index.php/geoplanning/article/view/51708 |
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