Abstract:
Groundwater is one of the most dynamic natural resources, but its distribution varies over time
and across locations. Factors such as climate change, overexploitation, and poor management
have made it increasingly important to assess groundwater resources for sustainable use in
residential, agricultural, and industrial sectors. Assessing suitable groundwater potential zones
primarily depends on the use of geographic information systems (GIS) and remote sensing (RS).
The study area lacks comprehensive information on the distribution and characteristics of
groundwater potential zones, hindering effective management and extraction. This study maps the
groundwater potential zones of the Muger Watershed in Ethiopia using GIS and remote sensing,
integrating the Analytic Hierarchy Process (AHP). The study uses seven thematic layers that
influence groundwater potential: slope, rainfall, lithology, land use/land cover, drainage density,
soil types, and lineament density. The study integrates and overlays these thematic layers in GIS
using a weighted overlay analysis tool, while the AHP method ranks the layers and their associated
sub-themes based on their suitability, attributes, and influence on groundwater potential zones.
The study classifies groundwater prospects into five categories: very high, high, moderate, low,
and very low. These categories cover 2.485%, 54.554%, 32.22%, 10.715%, and 0.022% of the
landscape, respectively. The current well locations verified the groundwater potential map,
showing an accuracy of 80%. The resulting potentiality mapping has been essential for the
sustainable development and management of water resources in the research region. It
demonstrates the validity of the delineated groundwater potential zone maps.
