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Groundwater potential mapping in semi-arid region of Northern Nigeria by integrating analytic hierarchy process and GIS

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Groundwater resource management in drylands, characterized by climate variability and population growth, is difficult. Exploration and exploitation of groundwater, due to inadequate surface water is very costly. This study employed the analytic hierarchy process (AHP) and GIS to identify groundwater potential (GWP) areas in a semi-arid region of Nigeria. Land-use-land-cover, drainage density, slope, rainfall, static water level, soil, lithology, and aquifer were selected for GWP analysis. Parameter weights were determined using AHP and ranked based on their contribution to GWP by experts. The parameters were then integrated using the weighted overlay tool in ArcGIS 10.5 to produce a GWP map of the study area. Borehole yield data from 245 wells were collected to determine the model accuracy and model validation. 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%). Areas with better GWP include Gurun, Dugol, Zago, Kumbo, Dukku, Doguwa, Riruwai, Dambazau, etc. Moderate GWP areas are widely spread across the state while areas with poor GWP include Sharawa, Kadewa, Koya, Dagar, Jigilawa, Galwanga, Yanganau, Kunchi, Tofa, Tsanyawa, etc. Validation of the AHP model with borehole yield data shows a correlation coefficient of 71.3% giving a good prediction. 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.
Title: Groundwater potential mapping in semi-arid region of Northern Nigeria by integrating analytic hierarchy process and GIS
Description:
Groundwater resource management in drylands, characterized by climate variability and population growth, is difficult.
Exploration and exploitation of groundwater, due to inadequate surface water is very costly.
This study employed the analytic hierarchy process (AHP) and GIS to identify groundwater potential (GWP) areas in a semi-arid region of Nigeria.
Land-use-land-cover, drainage density, slope, rainfall, static water level, soil, lithology, and aquifer were selected for GWP analysis.
Parameter weights were determined using AHP and ranked based on their contribution to GWP by experts.
The parameters were then integrated using the weighted overlay tool in ArcGIS 10.
5 to produce a GWP map of the study area.
Borehole yield data from 245 wells were collected to determine the model accuracy and model validation.
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%).
Areas with better GWP include Gurun, Dugol, Zago, Kumbo, Dukku, Doguwa, Riruwai, Dambazau, etc.
Moderate GWP areas are widely spread across the state while areas with poor GWP include Sharawa, Kadewa, Koya, Dagar, Jigilawa, Galwanga, Yanganau, Kunchi, Tofa, Tsanyawa, etc.
Validation of the AHP model with borehole yield data shows a correlation coefficient of 71.
3% giving a good prediction.
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.

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