Groundwater potential assessment using GIS and remote sensing: A case study of Guna tana landscape, upper blue Nile Basin, Ethiopia

被引:179
|
作者
Andualem, Tesfa Gebrie [1 ]
Demeke, Girum Getachew [2 ]
机构
[1] Debre Tabor Univ, Dept Hydraul & Water Resources Engn, Debre Tabor, Ethiopia
[2] Debre Tabor Univ, Dept Nat Resources Management, Debre Tabor, Ethiopia
关键词
Groundwater potential; ArcGIS; Thematic layer; MCDA; MULTICRITERIA DECISION-ANALYSIS; ANALYTIC HIERARCHY PROCESS; GEOGRAPHIC INFORMATION-SYSTEMS; MULTIPLE CRITERIA ANALYSIS; EVIDENTIAL BELIEF FUNCTION; LOGISTIC-REGRESSION; WEST-BENGAL; ZONES; IDENTIFICATION; MANAGEMENT;
D O I
10.1016/j.ejrh.2019.100610
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Study region: Guna Tana Landscape, Upper Blue Nile Basin, Ethiopia. Study focus: This paper aimed to delineate the groundwater potential zones using GIS and remote sensing. Multi-Criteria Decision Analysis (MCDA) technique is used to develop the groundwater potential prospect zones by integrating different groundwater contributing thematic layers. The thematic layers of land cover, drainage density, lineament density, soil, geology, slope, and geomorphology were prepared and used for groundwater potential map development by assigning weights to each thematic layer and features. The weights of each thematic layer were assigned and normalized based on their characteristic and relationship with groundwater recharge. Finally, the thematic maps were integrated by a weighted sum overlay analysis tool to develop groundwater prospect zones. New hydrological insights for the region: It was found that the downstream parts of the Landscape showed excellent groundwater potential covering about 833.49 km(2) area with a flat and lacus-trine sediment characteristic. About 469.12 km(2) of the landscape showed very good groundwater potential zone. Northern, northeastern and southeastern parts of the area presented very poor groundwater prospect covering about 553.68 km(2) area. The groundwater potential map was validated using the existing pumping wells and it indicated a good prediction accuracy of 70.5%. Thus, the potential zones identified in the study area by the MCDA technique are reliable.
引用
收藏
页数:13
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