|Title:||Integration of Remote Sensing and GIS for Groundwater Resources Assessment in Moyale-Teltele Sub Basin, South Ethiopia|
|???metadata.dc.contributor.*???:||Dr. K.S.R Murthy|
|Keywords:||Geographic Information Systems;Remote Sensing;Multicriteria Decision Evaluation;Groundwater;Rank;Weight;Moyale-Teltele|
|Publisher:||Addis Ababa University|
|Abstract:||An integrated approach with remote sensing and Geographic Information Systems (GIS) was adopeted to assess the groundwater potential in the southern lowlands of Ethiopia, Moyale-Teltele sub-basin of the Genale Dawa river basin. Six geologic, physiographic, and hydrologic factors were applied namely: lithology, structure, geomorphology, slope, land cover, and drainage. Digital Elevation Model (DEM) acquired from Shuttle Radar Topography Mission (SRTM) was used to derive contour and geomorphology, where contour is also used to generate slope. Landsat ETM scenes covering the area were classified for landcover. Other maps were digitized from different sources. Water point inventory was done in selected wells and springs to collect data on location, depth, water level, and yield. Satty’s Analytical Hierarchy Process was utilized in giving ranks and weights to the layers and different classes in them. Weighted Overlay Analysis was implemented in ArcGIS to combine the thematic layers and produce the groundwater potential map of the area. This result was further verified by groundwater yield data of boreholes and springs collected in the field and from previous reports. The validation revealed that the result was in well conformity with the actual yield of the wells and springs. The spatial distribution of groundwater potential zones showed regional patterns related to geologic, physiographic, and hydrologic characteristics of the area. Quaternary alluvium deposits and Quaternary volcanics were obtained to be situated in very good groundwater potential zones. The SE-NW trending geological structures affected most of the tertiary volcanics which appeared in the very good to good potential zones. Plain landforms and very low slope areas dominate the very good to good groundwater potential zones. The very good groundwater potential zones have very low drainage density. Agricultural lands and wood lands cover most of the very good to good groundwater potential areas. Groundwater potential zones demarcated through the model are in good agreement with borehole and spring yield data. The result demonstrate that the integration of remote sensing and GIS provide a powerful tool in the assessment and management of water resources.|
|Description:||A thesis submitted to the School of Graduate Studies, Addis Ababa University in partial fulfillment of the requirements for the Degree of MASTER OF SCIENCE IN GIS AND REMOTE SENSING|
|Appears in Collections:||Thesis - Earth Sciences|
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