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Smorph application for landslide identification in Kebumen Regency

Fuad Ramdhoni, Astrid Damayanti, Tito Latif Indra

2020IOP Conference Series Earth and Environmental Science14 citationsDOIOpen Access PDF

Abstract

Abstract Indonesia is a country that has natural geological disasters. One of the most frequent geological disasters in Indonesia is a landslide. Landslides are movements of rock or soil mass due to gravitational forces pulling down accompanied by a driving force on the slopes greater than the innate material. Identification and mapping of landslide potential areas has an important role as an effort to overcome and anticipate landslides. One of methods that can be used to determine potential landslides is the SMORPH method. The SMORPH method will produce a landslide classification based on a matrix between slope angle and slope form. This study aims to analyze the landslides potential distribution area in Kebumen Regency. Landslide identification was carried out at 30 locations of landslide events. Spatial analysis of landslide potential is done by overlaying the slope angle with slope form. The potential level for low landslides has a percentage of 79.54% in the southern and central parts of Kebumen Regency, the level of moderate potential level with a percentage of 8.81% randomly scattered over the Kebumen Regency, and 11.65% of high potential level in the north and southwest of Kebumen Regency.

Topics & Concepts

LandslideGeologyIdentification (biology)Geotechnical engineeringLandslide classificationMining engineeringEcologyBiologyLandslides and related hazardsData Mining and Machine Learning ApplicationsWater and Land Management
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