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

Karimi Sangchini, Ebrahim; Arami, Seyed Hossein; Dastranj, Ali

doi:10.22059/ijmge.2025.363788.595092

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

Articles in Press

Document Type : Research Paper

Authors

¹ Soil Conservation and Watershed Management Research Department, Lorestan Agricultural and Natural Resources Research and Education Center(AREEO), Khorramabad, Iran.

² Forests and Rangelands Research Department, Khuzestan Agricultural and Natural Resources Research and Education Center, Agricultural Research Education and Extension Organization (AREEO), Ahvaz, Iran.

³ Soil Conservation and Watershed Management Department, Khorasan Razavi Agricultural and Natural Resources Research and Education Center (AREEO), Mashhhad. Iran

10.22059/ijmge.2025.363788.595092

Abstract

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 to prevent the damage it can cause. Therefore, the present research was conducted to assess the risk of landslides and prepare a map of the severity of landslide risk in Karganeh Watershed, Lorestan Province, Iran. Interpretation of aerial photos and field visits was used to prepare the landslide inventory map. In this research, 16 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 a 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 the degree of vulnerability of elements based on the general risk equation. Results presented that the SVM model provided a greatly higher prediction accuracy of the landslide hazard map in the Karganeh Watershed via ROC equal to 0.913. Additionally, the results of the risk map for the Karganeh Watershed indicated that 18.2% of the area is in the high-risk class. This area is equivalent to 5,349 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.

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