Modeling of geoelectric parameters for assessing groundwater potentiality in a multifaceted geologic terrain, Ipinsa Southwest, Nigeria – A GIS-based GODT approach | ||
| NRIAG Journal of Astronomy and Geophysics | ||
| Volume 6, Issue 2, December 2017, Pages 434-451 PDF (4.18 M) | ||
| DOI: 10.1016/j.nrjag.2017.07.001 | ||
| Authors | ||
| Kehinde Anthony Mogaji; Osayande Bright Omobude | ||
| Abstract | ||
| Modeling of groundwater potentiality zones is a vital scheme for effective management of groundwater resources. This study developed a new multi-criteria decision making algorithm for groundwater potentiality modeling through modifying the standard GOD model. The developed model christened as GODT model was applied to assess groundwater potential in a multi-faceted crystalline geologic terrain, southwestern, Nigeria using the derived four unify groundwater potential conditioning factors namely: roundwater hydraulic confinement (G), aquifer verlying strata resistivity (O), epth to water table (D) and hickness of aquifer (T) from the interpreted geophysical data acquired in the area. With the developed model algorithm, the GIS-based produced G, O, D and T maps were synthesized to estimate groundwater potential index (GWPI) values for the area. The estimated GWPI values were processed in GIS environment to produce groundwater potential prediction index (GPPI) map which demarcate the area into four potential zones. The produced GODT model-based GPPI map was validated through application of both correlation technique and spatial attribute comparative scheme (SACS). The performance of the GODT model was compared with that of the standard analytic hierarchy process (AHP) model. The correlation technique results established 89% regression coefficients for the GODT modeling algorithm compared with 84% for the AHP model. On the other hand, the SACS validation results for the GODT and AHP models are 72.5% and 65%, respectively. The overall results indicate that both models have good capability for predicting groundwater potential zones with the GIS-based GODT model as a good alternative. The GPPI maps produced in this study can form part of decision making model for environmental planning and groundwater management in the area. | ||
| Keywords | ||
| Groundwater potential index; GIS; geophysics; GOD model; Hard rock terrain; Analytic Hierarchy Process; GODT | ||
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