Identification of Landslide and Flood Prone Areas using GIS (Geographic Information System) (Case Study: Kediri District)

Muhammad Taufik and Akbar Kurniawan and Alfi Rohmah Putri (2016) Identification of Landslide and Flood Prone Areas using GIS (Geographic Information System) (Case Study: Kediri District). Proceedings The 2nd International Conference of Indonesian Society for Remote Sensing 2016, 47. pp. 281-289.

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Abstract

Indonesia is a disaster-prone country from the aspect of geographical, climatological and demographic.The geographical position of Indonesia between two continents and two oceans caused Indonesia has excellent potential in the economy as well as prone to disaster. Based on the IRB (Disaster Risk Index) by BNPB (National Disaster Management Agency) in 2013, Kediri ranks 7th out of 381 districts / cities in Indonesia's index flood disaster. As for the landslide disaster risk index, Kediri ranks 65th out of 497 districts / cities in Indonesia. To avoid such losses, made disaster risk management measures. By utilizing the Tandem-X to do the processing of surface hydrology to determine the flow of the river obtained from DEM. Result from processing streams of DEM then validated by a watershed in the field and then used as river map. River map then overlay with slope map of the processing results from tandem-X, soil types map, land cover map, rainfall map and geology map in order to obtain a new spatial data areas of landslide and flood prone areas. The result of research indicating that 12 villages of the Mojo, Semen and Banyakan district have a high level of landslide-prone by 8,26% . That areas are located in an area with very steep slope by 25-40% and more than 40% with litosol soil types. Meanwhile,areas with high level floodprone are located spread all across district by 2,70%. But the district with most high level floodprone is Kras district. The area lies in the lowlands with a flatter slope and alluvial soil type. Result of surface hydrology showed a high degree of fit on the uplands and low on flat areas.

Item Type: Article
Additional Information: IOP Conference Series: Earth and Environmental Science Volume 47 ISBN 9781510835214
Uncontrolled Keywords: Flood, Landslide, Surface Hydrology, GIS, TanDEM-X
Subjects: Sains Antariksa dan Atmosfer > Penelitian, Pengembangan, dan Perekayasaan > Sains Teknologi Atmosfer > Potensi Bencana Hidrometrologis
Depositing User: Dinar Indrasasi
Date Deposited: 06 Oct 2021 07:33
Last Modified: 06 Oct 2021 07:33
URI: http://repositori.lapan.go.id/id/eprint/1343

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