Version 1
: Received: 21 February 2024 / Approved: 23 February 2024 / Online: 25 February 2024 (23:33:03 CET)
How to cite:
Saidu, A.A.; Aldrees, A.; Danazumi, S.; Abba, S.I. Groundwater Potential Mapping in Semi-arid Region of Northern Nigeria by Integrating Analytic Hierarchy Process and GIS. Preprints2024, 2024021374. https://doi.org/10.20944/preprints202402.1374.v1
Saidu, A.A.; Aldrees, A.; Danazumi, S.; Abba, S.I. Groundwater Potential Mapping in Semi-arid Region of Northern Nigeria by Integrating Analytic Hierarchy Process and GIS. Preprints 2024, 2024021374. https://doi.org/10.20944/preprints202402.1374.v1
Saidu, A.A.; Aldrees, A.; Danazumi, S.; Abba, S.I. Groundwater Potential Mapping in Semi-arid Region of Northern Nigeria by Integrating Analytic Hierarchy Process and GIS. Preprints2024, 2024021374. https://doi.org/10.20944/preprints202402.1374.v1
APA Style
Saidu, A.A., Aldrees, A., Danazumi, S., & Abba, S.I. (2024). Groundwater Potential Mapping in Semi-arid Region of Northern Nigeria by Integrating Analytic Hierarchy Process and GIS. Preprints. https://doi.org/10.20944/preprints202402.1374.v1
Chicago/Turabian Style
Saidu, A.A., Salisu Danazumi and Sani Isah Abba. 2024 "Groundwater Potential Mapping in Semi-arid Region of Northern Nigeria by Integrating Analytic Hierarchy Process and GIS" Preprints. https://doi.org/10.20944/preprints202402.1374.v1
Abstract
.(1) Background: Groundwater resources management in dry lands, characterized by climate var-iability and population growth, is difficult. Exploration and exploitation of groundwater, due to inadequate surface water is very costly. The present study employed Analytic Hierarchy Process (AHP) and GIS to identify Ground-Water Potential (GWP) areas in a semi-arid region of Nigeria; (2) Methods: Land-use-land-cover, drainage density, slope, rainfall, static water level, soil media, vadose media and aquifer media were selected for GWP analysis. Parameters weights were de-termined using AHP and ranked based on their contribution to GWP by experts. The parameters were then integrated using weighted overlay tool in ArcGIS 10.5 to produce GWP map of the study area. Boreholes yield data from 245 wells were collected to determine the model accuracy and model validation; (3) Results: Results classified the study area into very high GWP (1.9%), high GWP (8.8%), moderate GWP (62%), low GWP (20.70%) and very low GWP (6.6%). Validation of the AHP model with boreholes yield data shows a correlation coefficient of 71.3% giving a good prediction; (4) Conclusions: AHP and GIS can be used to successfully map GWP areas which could serve as an exploration guide for sustainable management of groundwater resources in semi-arid areas.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
