Modeling of geoelectric parameters for assessing groundwater potentiality in a multifaceted geologic terrain, Ipinsa Southwest, Nigeria – A GIS-based GODT approach

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: Groundwater hydraulic confinement (G), aquifer Overlying strata resistivity (O), Depth to water table (D) and Thickness 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.

Using Analytical Hierarchy Process and Multi-Influencing Factors to Map Groundwater Recharge Zones in a Semi-Arid Mediterranean Coastal Aquifer

“…Groundwater recharge is affected by human activities and natural possesses on the ground surface and within the aquifer system. Many factors affect the occurrence and movement of groundwater in a region, including rainfall, lineament density, slope, drainage density, land use/land cover, lithology, geomorphology and soil types [12,14,[16][17][18][19].…”

Inversi Data Geolistrik Menggunakan Particle Swarm Optimization: Studi Kasus Desa Gayau

“…Penggunaan metode geofisika untuk survei teknik dan lingkungan serta eksplorasi air tanah telah berkembang selama beberapa dekade tahun yang lalu seiring dengan kemajuan pengembangan aplikasi pengolahan data geofisika dan solusi numerik pemodelan geofisika. Metode VES telah tebukti menjadi metode yang sangat populer dalam eksplorasi air tanah (Adagunodo dkk., 2018;Araffa dkk., 2020;Mogaji & Omobude, 2017;Mohamad dkk., 2017;Riska & Satiawan, 2019) dan survei geoteknik lainnya dikarenakan metodenya yang sederhana dan mudah diaplikasikan serta biaya yang sangat terjangkau. Dari beberapa alasan yang diuraian tersebut, penelitian ini bertujuan guna memperkirakan keberadaan zona akuifer air tanah dengan menggunakan metode geolistrik VES dengan konfigurasi yang digunakan adalah Schlumberger guna membantu masyarakat Desa Gayau dalam mengetahui letak kedalaman lapisan akuifer air tanah.…”

Application of Dempster-Shafer theory of evidence model to geoelectric and hydraulic parameters for groundwater potential zonation

“…According to Mogaji and Omobude (2017), the factors that are believe to be influencing the occurrence and storage potential of groundwater are referred to as groundwater potential conditioning factors (GPCFs). Based on the discussion above, this study is considering the OVR, OVT, ACR, ACT, Tr, and K. The hydrological significances of these GPCFs have been reported in literatures.…”

“…The spatial prediction of groundwater potential using the standard method is important for groundwater resources management (Rahmati et al, 2016;Mogaji and Omobude, 2017). Groundwater being a hidden subsurface treasures resource not easily seen with the naked eyes is very difficult to quantify potentially.…”