Preparation of landslide risk map in Karganeh Watershed, Lorestan Province, Iran

Mass movements are one of the natural tragedies that are more manageable than other natural disasters. Therefore, it is very important to understand this phenomenon in order to prevent the damage it can cause. Therefore, the present research was conducted in order to assess the risk of landslides and prepare a map of the severity of landslide risk in the Karganeh Watershed, Lorestan Province, Iran. Interpretation of aerial photos and field visit were used to prepare a landslide inventory map. In this research, ۱۶ key landslide causal factors were identified to explore their spatial relationship with landslides. These factors reflect both inherent geomorphological characteristics and human influences related to landslide occurrences. Then, landslide hazard maps were built via tree models in geographic information system (GIS). Next, the information layer of the elements at risk and the degree of vulnerability of the elements were extracted. Finally, the landslide risk map was prepared by combining maps of the hazard map, elements at risk and degree of vulnerability of elements based on the general risk equation. The results presented that the (SVM) model provided greatly higher prediction accuracy of the landslide hazard map in the Karganeh Watershed via a/an (ROC) equal to ۰.۹۱۳. Additionally, the results of the risk map for the Karganeh Watershed indicated that ۱۸.۲% of the area is in the high-risk class. This area is equivalent to ۵,۳۴۹ hectares. Preparing a landslide risk map helps to focus the management work in the sectors that have a lot of risk and reduces the waste of time and money.

کلیدواژه ها:

landslide risk map ، Elements at risk ، Vulnerability map ، Karganeh Watershed ، Iran