Groundater Resources

The study of groundwater potential in Wadi El-Assiuoti is of a prime importance for both current and future development. In this paper the groundwater occurrences are investigated using integrated; 1) geophysical well logging (Self potential, Resistivity and Gamma Ray), 2) subsurface lithologic data and 3) hydraulic data (trans-missivity, transmissibility, hydraulic conductivity and storativity) in addition to reviewing all studies on Wadi El-Assiuoti. Different petrophysical parameters (formation water resistivity, formation factor, porosity, perme-ability, salinity and shale volume) are computed. These parameters are very necessary to identify the aquifers characteristics in the surveyed area. The integration between geophysical and hydrogeological data shows the possibility of two water bearing formation (Quaternary and Plio-Pleistocene). Generally, porosity and perme-ability values of these aquifers decrease toward the west. The aquifers exist under unconfined to semi confined conditions. The wide range values of both well efficiency and hydraulic conductivity indicate heterogeneity in the lithology and hydraulic characteristics of the aquifer materials. The computed transmissibility values indicate that the water-bearing sediments in the area under investigation are generally of high productivity. In some localities due to the heterogeneity of sediment, the water-bearing sediments are of moderate productivity. Recently , due to the increase of drilling activities at the middle part of the studied area some problems concerning the groundwater potential and high salinity in the area are happening.

In this study first locations of past occurrence were identified and an inventory form were created and integrated to GIS to derive landslide inventory map predictors. Secondly predictors causing landslides were identified from report of past landslides. Thirdly thematic maps of the identified predictors namely geomorphology, geology, drainage, rainfall, lineament, road, railway, soil, land use/land cover, slope and aspect were derived using Geographical Information System (GIS). Finally based on relative importance of factors and their categories influencing landslide susceptibility weights and ratings of predictors were calculated using two multi criteria approaches namely Analytical Hierarchy processes (AHP) and Spatial Multi Criteria Evaluation (SMCE). Weights and rating obtained for factors and predictors were overlayed using weighted overlay tool of GIS software to generate LS map with classified five zones namely very low, low, moderate, high and very high. Using field check and Receiver Operating Curve (ROC) the LS map were validated, using validate location set Area Under the Curve (AUC) AHP of 95.98% and SMCE of 98.86% were determined .