Elnahal, M. (2024). Integration of geological and geophysical data for delineating groundwater potential zones at highly faulted area: a case study Cairo-Suez district, Egypt. Bulletin of Faculty of Science, Zagazig University, 2024(1), 22-35. doi: 10.21608/bfszu.2023.220170.1283
Mohamed Ahmed Elnahal. "Integration of geological and geophysical data for delineating groundwater potential zones at highly faulted area: a case study Cairo-Suez district, Egypt". Bulletin of Faculty of Science, Zagazig University, 2024, 1, 2024, 22-35. doi: 10.21608/bfszu.2023.220170.1283
Elnahal, M. (2024). 'Integration of geological and geophysical data for delineating groundwater potential zones at highly faulted area: a case study Cairo-Suez district, Egypt', Bulletin of Faculty of Science, Zagazig University, 2024(1), pp. 22-35. doi: 10.21608/bfszu.2023.220170.1283
Elnahal, M. Integration of geological and geophysical data for delineating groundwater potential zones at highly faulted area: a case study Cairo-Suez district, Egypt. Bulletin of Faculty of Science, Zagazig University, 2024; 2024(1): 22-35. doi: 10.21608/bfszu.2023.220170.1283
Integration of geological and geophysical data for delineating groundwater potential zones at highly faulted area: a case study Cairo-Suez district, Egypt
New Obour City was recently established on the Cairo-Suez District Road, which claimed to rely on groundwater resources. The geological structure has strong control over the occurrence or distribution of underground water and water flow. in this study case: the integration among the drilling borehole data, structure, and direct current resistivity DCR soundings data figure out accurate geo-electrical sections of faults and the potential zones of underground water. This approach was applied, considering the complex tectonic history and the surface geological map. It is better to use the Schlumberger array, in this case, to obtain valuable information with a good signal-to-noise ratio and resolution about the subsurface hydrogeological conditions, which, using the genetic algorithm approach, solves the uncertainty of the CDR inversion problem and also provides a reference to data from available boreholes. The final output consists of the primary geological lithology, which, according to the deference in layer sequence, indicates structural faults according to the analysis of field structure data. The resistivity approach determines the occurrence of underground water and the aquifer geometry.
View on SCiNiTO
Top