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  • 标题:Groundwater Exploration Using Multi Criteria Decision Analysis and Analytic Hierarchy Process in Federal Capital Territory, Abuja, Central Nigeria
  • 本地全文:下载
  • 作者:Jude Steven Ejepu ; Muftau Owolabi Jimoh ; Suleiman Abdullahi
  • 期刊名称:International Journal of Geosciences
  • 印刷版ISSN:2156-8359
  • 电子版ISSN:2156-8367
  • 出版年度:2022
  • 卷号:13
  • 期号:1
  • 页码:33-53
  • DOI:10.4236/ijg.2022.131003
  • 语种:English
  • 出版社:Scientific Research Pub
  • 摘要:There exists a growing demand for potable water resources to fill the abysmally insufficient water needs for domestic and industrial especially in the Basement Complex terrains of Nigeria. This situation is attributable to its complex hydrogeologic character. The present challenge has worsened due to the non-incorporation of integrated methods in groundwater exploration campaigns. To effectively combat the challenge of unacceptable failure rates in drilled water well development, there is a need for innovative scientific principles and quantitative assessment of groundwater resources to enhance sustainable and proper utilisation of these resources. Hence, it is the objective of this research to exploit the potential application of remote sensing, Geographic Information System (GIS), and Multi-Criteria Decision Analysis (MCDA) techniques and freely open datasets in mapping groundwater potential zones. Seven thematic maps have been produced based on factors that are deemed to influence and deemed to have significant control on the occurrence and movement of groundwater. These factors are geology, lineament density, slope, drainage density, rainfall, land-use/land cover, and soil class. Analytic Hierarchy Process (AHP) was used to assign normalised weights to the thematic maps based on the various relative contributions to groundwater occurrence and movement. These thematic maps were then processed in a GIS environment using the Weighted Overlay tool which implements the MCDA. The resulting Groundwater Potential Zones (GPZ) of the area gave rise to Five classes viz: Very good, Good, Moderate, Poor and Very Poor representing 19%, 8%, 14%, 47% and 13% respectively. It is recommended that the GPZ map should be used as a reconnaissance tool for selecting prospective sites for detailed groundwater resource exploitation.
  • 关键词:Groundwater Potential ZonesMulti-Criteria Decision AnalysisAnalytic Hierarchy ProcessGeographic Information SystemRemote Sensing
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