Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal Geoplanning : Journal of Geomatics and Planning
Odera, Patroba Achola
Unknown Affiliation
Earth & Planetary Sciences

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Geoplanning : Journal of Geomatics and Planning

 1 
Modelling Groundwater Vulnerability to Contamination using DRASTIC Model through Geospatial Techniques over Northern Kwazulu-Natal, South Africa Mabogo, Nomonde Shantel Tshiwela; Odera, Patroba Achola
Geoplanning: Journal of Geomatics and Planning Vol 10, No 2 (2023)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.10.2.111-122

Abstract

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.
Modelling spatial-temporal wildfire susceptibility using geospatial techniques over Table Mountain Nature Reserve, South Africa Nujjoo, Syed Tanweer Raza; Odera, Patroba Achola
Geoplanning: Journal of Geomatics and Planning Vol 12, No 2 (2025): Article In Progress
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.12.2.%p

Abstract

Mountains in Cape Town are generally highly susceptible to wildfires due to the hot-dry summer months and various climatological factors that could aggravate the situation. In fact, the Cape Floral Kingdom of Table Mountain National Park is categorised as the world’s hottest floral hotspot. This study has utilised geospatial techniques to model spatial-temporal wildfire susceptibility over the Table Mountain Nature Reserve (TMNR) from 1978 to 2022 at a nearly 10-year interval epoch. This is achieved by first mapping and categorising influential factors such as land use/land cover, aspect, temperature, slope, normalised difference vegetation index, precipitation, elevation, and wind speed. The categorised layers are then weighted and numerically integrated to determine wildfire susceptibility (WS) levels based on wildfire susceptibility index (WSI) over the TMNR. Results show that low WS occurred only in 1978, 1991 and 2014 with area coverage at 0.1% 0.01%, and 0.6% of the total area of TMNR, respectively. All the epochs contained moderate WS (24.5%; 24.8%; 4.4%; 32.6%; 4.0%), high WS (67.2%; 70.3%; 73.4%; 63.2%; 77.0%) and very high WS (8.2%; 4.9%; 22.2%; 3.6%; 19.0%) for 1978, 1991, 2002, 2014, and 2022, respectively. In general, results indicate increasing wildfire susceptibility over TMNR, with the northern and western parts being the highly susceptible areas.
Co-Authors Mabogo, Nomonde Shantel Tshiwela Nujjoo, Syed Tanweer Raza