Evidence Based Landslide Hazard Mapping in Purworejo using Information Value Model Approach

Purworejo District, which is located in Central Java, Indonesia, is prone to landslides. These are a natural hazard that often occur in mountainous areas, so landslide hazard analysis is needed to develop mitigation strategies. This paper elaborates on the use of an evidence-based statistical approa...

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Main Authors: Sudaryatno Sudaryatno, Prima Widayani, Totok Wahyu Wibowo, Bagus Wiratmoko, Wahyu Nurbandi
Format: Article
Language:English
Published: Muhammadiyah University Press 2019-08-01
Series:Forum Geografi
Subjects:
Online Access:http://journals.ums.ac.id/index.php/fg/article/view/7592
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spelling doaj-c394dbad65384a8085ecda46cb7243c12020-11-25T01:15:09ZengMuhammadiyah University PressForum Geografi0852-06822460-39452019-08-01331253810.23917/forgeo.v33i1.75924719Evidence Based Landslide Hazard Mapping in Purworejo using Information Value Model ApproachSudaryatno Sudaryatno0Prima Widayani1Totok Wahyu Wibowo2Bagus Wiratmoko3Wahyu Nurbandi4Fakultas Geografi, Universitas Gadjah MadaFakultas Geografi, Universitas Gadjah MadaFakultas Geografi, Universitas Gadjah MadaFakultas Geografi, Universitas Gadjah MadaFakultas Geografi, Universitas Gadjah MadaPurworejo District, which is located in Central Java, Indonesia, is prone to landslides. These are a natural hazard that often occur in mountainous areas, so landslide hazard analysis is needed to develop mitigation strategies. This paper elaborates on the use of an evidence-based statistical approach using the Information Value Model (IVM) to conduct landslide hazard mapping. The parameters of slope, aspect, elevation, rainfall, NDVI, distance from rivers, distance from the road network, and distance from faults were employed for the analysis, which was conducted based on a raster data environment, since the pixel is the most appropriate means to represent continuous data. Landslide evidence data were collected by combining secondary data and interpreting satellite imagery to identify old landslides. The IVM was successfully calculated by combining factors related to disposition to landslides and data on 19 landslide occurrences. The results helped produce a landslide susceptibility map for the northern and eastern parts of Purworejo District.http://journals.ums.ac.id/index.php/fg/article/view/7592landslide, hazard, information value model
collection DOAJ
language English
format Article
sources DOAJ
author Sudaryatno Sudaryatno
Prima Widayani
Totok Wahyu Wibowo
Bagus Wiratmoko
Wahyu Nurbandi
spellingShingle Sudaryatno Sudaryatno
Prima Widayani
Totok Wahyu Wibowo
Bagus Wiratmoko
Wahyu Nurbandi
Evidence Based Landslide Hazard Mapping in Purworejo using Information Value Model Approach
Forum Geografi
landslide, hazard, information value model
author_facet Sudaryatno Sudaryatno
Prima Widayani
Totok Wahyu Wibowo
Bagus Wiratmoko
Wahyu Nurbandi
author_sort Sudaryatno Sudaryatno
title Evidence Based Landslide Hazard Mapping in Purworejo using Information Value Model Approach
title_short Evidence Based Landslide Hazard Mapping in Purworejo using Information Value Model Approach
title_full Evidence Based Landslide Hazard Mapping in Purworejo using Information Value Model Approach
title_fullStr Evidence Based Landslide Hazard Mapping in Purworejo using Information Value Model Approach
title_full_unstemmed Evidence Based Landslide Hazard Mapping in Purworejo using Information Value Model Approach
title_sort evidence based landslide hazard mapping in purworejo using information value model approach
publisher Muhammadiyah University Press
series Forum Geografi
issn 0852-0682
2460-3945
publishDate 2019-08-01
description Purworejo District, which is located in Central Java, Indonesia, is prone to landslides. These are a natural hazard that often occur in mountainous areas, so landslide hazard analysis is needed to develop mitigation strategies. This paper elaborates on the use of an evidence-based statistical approach using the Information Value Model (IVM) to conduct landslide hazard mapping. The parameters of slope, aspect, elevation, rainfall, NDVI, distance from rivers, distance from the road network, and distance from faults were employed for the analysis, which was conducted based on a raster data environment, since the pixel is the most appropriate means to represent continuous data. Landslide evidence data were collected by combining secondary data and interpreting satellite imagery to identify old landslides. The IVM was successfully calculated by combining factors related to disposition to landslides and data on 19 landslide occurrences. The results helped produce a landslide susceptibility map for the northern and eastern parts of Purworejo District.
topic landslide, hazard, information value model
url http://journals.ums.ac.id/index.php/fg/article/view/7592
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