Delineation of groundwater potential zones in northern Omdurman area using electrical resistivity method

Abstract

This study is conducted in the northern Omdurman area to delineate groundwater potential zones using electrical resistivity method. Omdurman is the most ancient city known as the historical capital of Sudan. Geoelectric survey employing vertical electrical sounding (VES) technique is carried out to explore the availability of groundwater in the study area. The measurements were conducted using Schlumberger configuration. In this study, twelve VES points are measured along four profiles. The measured data is processed and interpreted using 1D geophysical inversion technique constrained by lithological data obtained from two boreholes. The integration of electrical and geological data led to a reliable interpretation of the geophysical model. The obtained results revealed that the geological succession of the study area is mainly composed of five layers of recent deposits, clay, sandy clay, silicified and ferruginous sandstone, and sandstone. According to the resulting hydrogeological sections, the water-bearing formation is composed mainly of coarse sandstone and varies in thickness under confined conditions. The geoelectrical sounding method successfully fulfilled the aims of the study. Nevertheless, detailed hydrogeological and geophysical investigations need to be carried out for a comprehensive characterization of the groundwater aquifer.

Groundwater investigation in the Batang Integrated Industrial Park, Central Java, Indonesia

“…The geoelectric survey was conducted at the same points as the drilling log presented in Figure 8 and Figure 9. The correlation between the geological maps, geoelectric data, and drilling log results can be a reference for identifying the subsurface aquifer system [20], [21]. The geophysical inversion of the measured apparent resistivity is the basis for the quantitative interpretation of VES curves [21].…”

“…The correlation between the geological maps, geoelectric data, and drilling log results can be a reference for identifying the subsurface aquifer system [20], [21]. The geophysical inversion of the measured apparent resistivity is the basis for the quantitative interpretation of VES curves [21]. Batang Integrated Industrial Park consists of 3 to 4 layers based on the resistivity value.…”

Application of GIS-based machine learning algorithms for prediction of irrigational groundwater quality indices

“…Figure 2 illustrates the primary geological units observed in the study area. The Pan African basement rocks of the Precambrian age form the bottom of the Blue Nile basin (Idriss et al, 2011;Mohammed et al, 2023e). These rocks are dominated by biotite granite, gneiss, and schist mainly observed near Khartoum's northern and eastern boundaries (Awad, 1994).…”

Investigation of petrophysical and hydrogeological parameters of the transboundary Nubian Aquifer system using geophysical methods

“…Moreover, in heterogeneous aquifer systems, the estimation of these parameters is restricted to the measurement point; therefore, error is inevitable during the generalization of the results (Avci et al, 2010;Mohammed et al, 2023c;Flores et al, 2023;Yang et al, 2023). To address these drawbacks, geophysical methods are widely applied for groundwater exploration and aquifer characterization since they provide a continuous estimate of hydrogeological and petrophysical parameters (Szabó et al, 2015;Fejes et al, 2021;Mohammed et al, 2023e). The primary purpose of open-hole wireline logging is to identify variations in petrophysical and hydrogeological parameters along groundwater wells and correlate them with the surrounding wellbores (Szabó, 2018;Gouasmia et al, 2022;Mohammed et al, 2023a).…”

“…These methods are typically implemented in exploratory studies to install groundwater wells (Hezzi et al, 2021). VES is the most popular resistivity technique for defining potential groundwater zones and calculating hydraulic parameters such as transmissivity and hydraulic conductivity (Arétouyap et al, 2019;Mohammed et al, 2023e;Omeiza et al, 2023). This technique was efficiently used to quickly and affordably determine the depth of the water table, aquifer thickness, and vertical and horizontal geological variation (Szűcs et al, 2021).…”