Abstract
Landslide is a type of mass transfer of soil or rock and a mixture of the two to a lower area due to disruption of slope stability, causing economic and environmental damage to property and human life. This study aimed to assess the landslide events and the level of landslide vulnerability and its economic impact using scoring techniques. The scoring is determined by the sum of the weight’s multiplication and the factor that started the landslide. Nine factors causing landslides have been evaluated using the statistical methods. The results showed that the scoring technique could be used as a guideline (tool) to analyze the relationship between landslide events and the level of vulnerability and also assess the socio-economic impact in the Samin Hulu sub-watershed. The survey and mapping results found that the distribution of landslide-prone areas in the Sub-watershed Samin Upstream can be divided into five landslide-prone levels, namely: extraordinarily prone, very prone, prone, somewhat prone, and not prone. The Samin Sub-watershed area can be categorized as an area classified as prone to landslides. To lessen the socio-economic damage to the area, a number of programmes and cooperation initiatives between authorities and local communities have been introduced. For that purpose, a reforestation and agroforestry mechanism is applied which means planting teak forests combined with multiple cropping such as coffee, guava, cashew and other local plants.
Publisher
Institute of Society Transformation sp. z o.o.
Subject
General Economics, Econometrics and Finance,Sociology and Political Science
Cited by
1 articles.
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