Elaboration of the Hydro-Geophysics GIS Showing the Volubilis Depression and the Prerifains Ridges Structuration (Morocco North Occidental)
- 1 Laboratory of Applied Geosciences, Technology Team of Water Resources, Faculty of Science, IbnTofail University, Kenitra, Morocco
- 2 Laboratory of Applied Geosciences, Technology Team of Water Resources, Faculty of Science, IbnTofail University, Kenitra, Morocco
- 3 Laboratory of Applied Geosciences, Technology Team of Water Resources, Faculty of Science, IbnTofail University, Kenitra, Morocco
- 4 Ministry of the Energies, Mines, Water and the Environment, Rabat, Morocco
- 5 Laboratory of Geodynamic, Faculty of Science, Dhar Mehraz University, Fes, Morocco
- 6 International Institute of Water and Waste Water, O.N.E.E—Water Sector, Chellah, Morocco
Abstract
We present a comparative analysis of electrical and gravity data on the Geographic Information System of the prerifaines ridges. At the Meso-Cenozo?c sequence, the geometry of the prerifaines ridges is fairly well known. However, the post-Miocene series remain to be characterized. In this perspective, we use a database composed of gravity and vertical electrical sounding profiles and geo-electrical sections in order to characterize this structuration. These data are calibrated by many oil and hydrogeological boreholes. Preliminary results lead to better understanding of the organization of its underlying structures in this area. The Gravimetric filtering results show that the area may be dissected by tree major faults striking NW-SE, NE-SW and N-S. All these faults have contributed, since Hercynian to Alpines orogenies, to the structuring of this area, being proved to be the deepest and can reach 4500 m. The comparison of gravity maps, geological and structural maps under Geographic Information System allows the identification of major structural directions and trends of the study area. It confirms some structural elements gathered from outcrops and define new ones. Results from this work show the importance of using various filtering and interpretation techniques in the analysis of gravity data. They also provide news insights into the deep structure of the study area.
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