Landslide Hazard Zonation Using Area Density Statistical

Identification prone areas to landslide occurrence and mass movement is one of the first steps in natural resource management and planning and development. Identification and mapping of landslide risk potential zones to reduce  landslide damages is necessary. [k1] In this study, landslide hazard zonation have been evaluated with statistical density level method techniques using remote sensing and GIS in the basin Ala-RoodZard Baghmalek of Khuzestan province. For this purpose, initially landslide distribution map was prepared by aerial photographs, existing geological maps and field investigations, in these basins. Then affecting factors landslide include Lithology, elevation, slope, slope direction, the maximum 24-hour rainfall, earthquake acceleration and informative layers was prepared. Finally effective factors weighted, then with GIS and using method of density levels statistical index, landslide hazard zonation maps were classified in five different zones, stable, largely stable, stable moderate, unstable moderate and unstable. The results showed that 61.67 percent of the existing landslide have occurred in two zone of unstable moderate and unstable. Accuracy of area density statistical zonation method levels in the study area is 63%, which shows it possesses great accuracy.