ABSTRACT

The study aims to assess landslide hazard and exposed risk elements. The study is conducted in lower Mandakini valley of India. Multitemporal inventory data of landslide is collected from 1990 to 2015. Then, landslide data and 11 conditioning factors are used for spatial probability mapping through logistic regression model. Temporal probability of landslide is calculated using Poisson distribution model. The landslide hazard map is prepared by combining spatial probability and temporal probability. The hazard map is validated by seed cell area index (SCAI) method. Different elements that are exposed to landslide hazard are extracted through overlay analysis in the GIS environment. Nearly 6% built-up area, 17.09% agricultural land and 11.26% of roads comes in the very high hazard zone of landslide. This study may contribute to planners and decision-makers to project future loss from landslides and further spatial planning.