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Spatial analysis of groundwater potential using remote sensing and GIS-based multi-criteria evaluation in Raya Valley, northern Ethiopia

Hydrogeology journal, 2015-02, Vol.23 (1), p.195-206 [Peer Reviewed Journal]

Springer-Verlag Berlin Heidelberg 2014 ;Springer-Verlag Berlin Heidelberg 2015 ;ISSN: 1431-2174 ;EISSN: 1435-0157 ;DOI: 10.1007/s10040-014-1198-x

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  • Title:
    Spatial analysis of groundwater potential using remote sensing and GIS-based multi-criteria evaluation in Raya Valley, northern Ethiopia
  • Author: Fenta, Ayele Almaw ; Kifle, Addis ; Gebreyohannes, Tesfamichael ; Hailu, Gebrerufael
  • Subjects: Aquatic Pollution ; Boreholes ; Computation ; Criteria ; Density ; Earth and Environmental Science ; Earth Sciences ; Geographic information systems ; Geology ; Geophysics/Geodesy ; Groundwater ; Groundwater flow ; Hydrogeology ; Hydrology/Water Resources ; Lithology ; Remote sensing ; Remote sensing systems ; Sensitivity analysis ; Valleys ; Waste Water Technology ; Water Management ; Water Pollution Control ; Water Quality/Water Pollution
  • Is Part Of: Hydrogeology journal, 2015-02, Vol.23 (1), p.195-206
  • Description: Sustainable development and management of groundwater resources require application of scientific principles and modern techniques. An integrated approach is implemented using remote sensing and geographic information system (GIS)-based multi-criteria evaluation to identify promising areas for groundwater exploration in Raya Valley, northern Ethiopia. The thematic layers considered are lithology, lineament density, geomorphology, slope, drainage density, rainfall and land use/cover. The corresponding normalized rates for the classes in a layer and weights for thematic layers are computed using Saaty’s analytical hierarchy process. Based on the computed rates and weights, aggregating the thematic maps is done using a weighted linear combination method to obtain a groundwater potential (GP) map. The GP map is verified by overlay analysis with observed borehole yield data. Map-removal and single-parameter sensitivity analyses are used to examine the effects of removing any of the thematic layers on the GP map and to compute effective weights, respectively. About 770 km 2 (28 % of the study area) is designated as ‘very good’ GP. ‘Good’, ‘moderate’ and ‘poor’ GP areas cover 630 km 2 (23 %), 600 km 2 (22 %) and 690 km 2 (25 %), respectively; the area with ‘very poor’ GP covers 55 km 2 (2 %). Verification of the GP map against observed borehole yield data shows 74 % agreement, which is fairly satisfactory. The sensitivity analyses reveal the GP map is most sensitive to lithology with a mean variation index of 6.5 %, and lithology is the most effective thematic layer in GP mapping with mean effective weight of 52 %.
  • Publisher: Berlin/Heidelberg: Springer Berlin Heidelberg
  • Language: English
  • Identifier: ISSN: 1431-2174
    EISSN: 1435-0157
    DOI: 10.1007/s10040-014-1198-x
  • Source: ProQuest Central
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