Geospatial technology-based identification of groundwater potential zone in the Upper Dawa River Basin, Southern Ethiopia

Groundwater (GW) is a vital freshwater resource and essential for meeting domestic, irrigation, and industrial demands. As the demand for water rises, evaluating groundwater potential (GWP) and aquifer productivity becomes increasingly important. This research focuses on mapping groundwater potential zones (GWPZ) in the Upper Dawa River Basin (UDRB), Southern Ethiopia, utilizing a Geographic Information System (GIS)-based Analytical Hierarchy Process (AHP). Seven factors influencing GW availability, recharge, and distribution were considered: drainage density(DD), geology(GL), lineament density(LD), soil type, land use/land cover(LULC), rainfall, and slope. The WOA (weighted overlay analysis) tool in ArcGIS 10.8 generates the final GWPZ map. The results identified five categories of GWPZ: very low, low, moderate, high, and very high, covering 0.26 %, 45.9 %, 8.8 %, 16.34 %, and 28.08 % of the area under study, respectively. The volcanic terrain in the north and northwest, the limestone terrain in the southeast, and patchy or elongated small areas in the basement terrain in the center and south of the research area were mapped as high to very high GWPZs. Conversely, a significant portion of the basement terrain was classified as low-very low GWP. The GWPM (groundwater potential map) accuracy is assessed by utilizing the area under the curve (AUC) approach, resulting in an AUC value of 0.834, indicating a dependable outcome. The findings of this research contribute to ongoing efforts to ensure sustainable water sources for vulnerable communities in the area under investigation.

Authors

Institutions

Publication Details

Journal
Scientific African
Published
2025-05-08
DOI
https://doi.org/10.1016/j.sciaf.2025.e02747
Citations
2
Primary Topic
Groundwater and Watershed Analysis
Type
article
Field-Weighted Citation Impact
1.60
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Geospatial technology-based identification of groundwater potential zone in the Upper Dawa River Basin, Southern Ethiopia

Shankar Karuppannan, Dechasa Diriba, Fikadu Woldemariyam Wodessa, Debisa Debela
2 citations
Scientific African
Groundwater and Watershed Analysis
1.60
article

Geospatial technology-based identification of groundwater potential zone in the Upper Dawa River Basin, Southern Ethiopia

Shankar Karuppannan, Dechasa Diriba, Fikadu Woldemariyam Wodessa, Debisa Debela
article en
2 citations

Abstract

Groundwater (GW) is a vital freshwater resource and essential for meeting domestic, irrigation, and industrial demands. As the demand for water rises, evaluating groundwater potential (GWP) and aquifer productivity becomes increasingly important. This research focuses on mapping groundwater potential zones (GWPZ) in the Upper Dawa River Basin (UDRB), Southern Ethiopia, utilizing a Geographic Information System (GIS)-based Analytical Hierarchy Process (AHP). Seven factors influencing GW availability, recharge, and distribution were considered: drainage density(DD), geology(GL), lineament density(LD), soil type, land use/land cover(LULC), rainfall, and slope. The WOA (weighted overlay analysis) tool in ArcGIS 10.8 generates the final GWPZ map. The results identified five categories of GWPZ: very low, low, moderate, high, and very high, covering 0.26 %, 45.9 %, 8.8 %, 16.34 %, and 28.08 % of the area under study, respectively. The volcanic terrain in the north and northwest, the limestone terrain in the southeast, and patchy or elongated small areas in the basement terrain in the center and south of the research area were mapped as high to very high GWPZs. Conversely, a significant portion of the basement terrain was classified as low-very low GWP. The GWPM (groundwater potential map) accuracy is assessed by utilizing the area under the curve (AUC) approach, resulting in an AUC value of 0.834, indicating a dependable outcome. The findings of this research contribute to ongoing efforts to ensure sustainable water sources for vulnerable communities in the area under investigation.

Scientific AfricanVol. 28
Dilla University (ET), Saveetha University (IN), Adama Science and Technology University (ET)
Openalex Percentile: Top 18%
Groundwater and Watershed Analysis
1.60
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Geospatial technology-based identification of groundwater potential zone in the Upper Dawa River Basin, Southern Ethiopia — Shankar Karuppannan, Dechasa Diriba, et al. · Scientific African (2025) | TGRS Research Map | TGRS