Abstract
Landslides are one of the most significant natural damaging disasters in hilly environment [1]. The location of our study area is to the north of Tunisia, home to several manifestations of land instabilities, we bring to study this area of interest by GIS and geomatic approach to reduce social economic losses due to landslides. The performance of a cartographic data base for the landslide study in the Cap-Bon region was realized through studying geologic 1/50,000 and topographic 1/25,000 maps, aster optic Remote Sensing, land observation, and climatologic seismic data. These data will be digitalized, georeferenced, vectorized, spatially analyzed, classified and geotreated in order to produce a landslides card. The findings have shown that fields with smooth and friable lithology which are located at rather important seismic zones (more than 4 at Richter’s scale) have some stability. However, the most endangered zones are in the North-West around Oued El Kbir and El Ain. Realizing this work helps to determine the most hazardous zones so that policy makers have an effective field intervention.
Highlights
The Cap Bon region has an interesting economical importance for Tunisia
The location of our study area is to the north of Tunisia, home to several manifestations of land instabilities, we bring to study this area of interest by Geographic Information System (GIS) and geomatic approach to reduce social economic losses due to landslides
The performance of a cartographic data base for the landslide study in the Cap-Bon region was realized through studying geologic 1/50,000 and topographic 1/25,000 maps, aster optic Remote Sensing, land observation, and climatologic seismic data
Summary
The Cap Bon region has an interesting economical importance for Tunisia. It contains about 30% of the touristic resorts of Tunisia and is having an important urban devel-. For these reasons, this work is focusing on cartography of instability hazards of land for the region lying between the town Beni Khiar and Hammamet. Landslides are a common hazard, especially during the rainy season [2] [3]. For these reasons, a data collection study about land instability has been conducted. By analyzing and integrating it, a “SIG” allowed us to realize a land instability map which could be used as a helping tool for decision makers for better urban and environmental management
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