Open AccessRegional Assessment of Groundwater Potential Zone Using Remote Sensing, GIS and Multi Criteria Decision Analysis Techniques
Author(s) -
Jude Steven Ejepu
Publication year - 2020
Publication title -
nigerian journals of pure and applied sciences (benue online)
Language(s) - English
Resource type - Journals
ISSN - 2705-3997
DOI - 10.46912/napas.201
Subject(s) - groundwater , drainage density , analytic hierarchy process , land cover , water resource management , geographic information system , environmental science , multiple criteria decision analysis , land use , resource (disambiguation) , hydrology (agriculture) , environmental resource management , remote sensing , civil engineering , geography , geology , computer science , operations research , engineering , computer network , geotechnical engineering
The growing demand for freshwater for domestic and industrial purposes is a current challenge in the Upper Niger River Basin Development Authority area. Consequently, there is heavy demand for groundwater resources to meet this need. This challenge has worsened due to the non-incorporation of integrated methods in groundwater exploration campaigns. Innovative scientific principles and quantitative assessment of groundwater resources are required for sustainable and proper management of the resources. Therefore, the objective of this paper is to exploit the potential application of remote sensing, Geographic Information System (GIS), and Multi-Criteria Decision Analysis (MCDA) techniques in mapping groundwater potential zones. To achieve this, seven factors deemed to have significant control over the occurrence and movement of groundwater viz. geology, lineament density, slope, drainage density, rainfall, land-use/land cover, and soil class were produced. These factors were assigned weights and normalized with respect to their relative contributions to groundwater occurrence using the Analytic Hierarchy Process (AHP). This resulted in groundwater potential zones that have been classified into four: Very good, Good, Moderate and Poor representing 7%, 27%, 43%, and 23% respectively. This result represents groundwater potential in the area and should be used as a preliminary reference in selecting prospective sites for detailed groundwater resource exploitation