The integration between advanced techniques for groundwater exploration is necessary to manage and protect the vital resources. Direct current (DC) resistivity geoelectrical technique, Enhanced Thematic Mapper Landsat (ETM+) images and a geographic information system (GIS) are integrated to identify the groundwater potentiality in the study area. The interpretation of the one-dimensional (1-D) inversion of the acquired resistivity data are implemented for mapping the fresh to slightly brackish water aquifer. This number of vertical electric sounding is quite enough for different geologic mapping. The depth to the top of the ground water table (obtained from the existing Water well) and subsurface lithological information are used to calibrate the results of the resistivity data inversion. This research discussed how the integration between the geoelectrical parameters and hydrological data, could be used to determine the appropriate locations of dams construction and recommend the appropriate methods for management and rehabilitation of the aquifer.

The integration between advanced techniques for groundwater exploration is necessary to protect and to manage the vital resources. Enhanced Thematic Mapper Landsat (ETM+) images, a geographic information system (GIS), hydrological modeling and direct current (DC) resistivity geoelectrical techniques were used in integrated manner to identify the groundwater potentialities in the study area. The study area is approximately 1195 km 2 , located at the western portion of south Sinai. From the results of the eight thematic layers as input to GIS model, the suitable locations for dams could be estimated in the two main drainage basins Matulla and Tayiba.

Study area lies in the north western coast of Egypt extending along the Mediterranean Sea. It occupies an area of about 1690 km2 it's called Fuka-Matrouh, This area is suffering of dry season in summer and flash floods in winter that impact the agricultural system as well as natural disasters in terms of human hardships and economic losses. Arc hydro model was used to derive watershed of the investigated area. In this study, remote sensing was combined with GIS environment for land and water resources assessment. Reconnaissance and semi detailed field surveys were carried out for collecting information required to produce various thematic maps; such as soil, capability, and land use and drainage system. A geographical database was stored as attributes. Modeling approaches are powerful tools for decision making in the study area. The present study aims at setting up recommendations for surface water development in terms of best sites selection and surface runoff. GIS and multi-criteria analysis were applied to locate a new dam location in study area to get the benefit for agricultural development.