Integration Of Remote Sensing And Gis For Groundwater Resources Assessment In Moyale-teltele Sub Basin South Ethiopia

An integrated approach with remote sensing and Geographic InformationrnSystems (GIS) was adopeted to assess the groundwater potential in thernsouthern lowlands of Ethiopia, Moyale-Teltele sub-basin of the Genale Dawarnriver basin. Six geologic, physiographic, and hydrologic factors were appliedrnnamely: lithology, structure, geomorphology, slope, land cover, and drainage.rnDigital Elevation Model (DEM) acquired from Shuttle Radar TopographyrnMission (SRTM) was used to derive contour and geomorphology, whererncontour is also used to generate slope. Landsat ETM scenes covering the arearnwere classified for landcover. Other maps were digitized from differentrnsources. Water point inventory was done in selected wells and springs torncollect data on location, depth, water level, and yield. Satty’s AnalyticalrnHierarchy Process was utilized in giving ranks and weights to the layers andrndifferent classes in them. Weighted Overlay Analysis was implemented inrnArcGIS to combine the thematic layers and produce the groundwater potentialrnmap of the area. This result was further verified by groundwater yield data ofrnboreholes and springs collected in the field and from previous reports. Thernvalidation revealed that the result was in well conformity with the actual yieldrnof the wells and springs.rnThe spatial distribution of groundwater potential zones showed regionalrnpatterns related to geologic, physiographic, and hydrologic characteristics ofrnthe area. Quaternary alluvium deposits and Quaternary volcanics werernobtained to be situated in very good groundwater potential zones. The SE-NWrntrending geological structures affected most of the tertiary volcanics whichrnappeared in the very good to good potential zones. Plain landforms and veryrnlow slope areas dominate the very good to good groundwater potential zones.rnThe very good groundwater potential zones have very low drainage density.rnAgricultural lands and wood lands cover most of the very good to goodrngroundwater potential areas. Groundwater potential zones demarcatedrnthrough the model are in good agreement with borehole and spring yieldrndata. The result demonstrate that the integration of remote sensing and GIS provide a powerful tool in the assessment and management of waterrnresources.rnKey WordsrnGeographic Information Systems, Remote Sensing, Multicriteria DecisionrnEvaluation, Groundwater, Rank, Weight, Moyale-Teltele

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