Landslide susceptibility assessment using frequency ratio model in Bogor, West Java, Indonesia

被引:0
作者
Florence Elfriede Sinthauli Silalahi
Yukni Pamela
Fahrul Arifianti
机构
[1] Western Michigan University,Department of Geological and Environmental Sciences
[2] Geological Agency of Indonesia,undefined
[3] Geospatial Information Agency of Indonesia,undefined
来源
Geoscience Letters | / 6卷
关键词
Landslides; Hazard mapping; Geographic Information Systems (GIS); Spatial analysis; Frequency ratio (FR); Area Under a Curve (AUC);
D O I
暂无
中图分类号
学科分类号
摘要
Landslides are common natural disasters in Bogor, Indonesia, triggered by a combination of factors including slope aspect, soil type and bedrock lithology, land cover and land use, and hydrologic conditions. In the Bogor area, slopes with volcanic lithologies are more susceptible to failure. GIS mapping and analysis using a Frequency Ratio Model was implemented in this study to assess the contribution of conditioning factors to landslides, and to produce a landslide susceptibility map of the study area. A landslide inventory map was prepared from a database of historic landslides events. In addition, thematic maps (soil, rainfall, land cover, and geology map) and Digital Elevation Model (DEM) were prepared to examine landslide conditioning factors. A total of 173 landslides points were mapped in the area and randomly subdivided into a training set (70%) with 116 points and test set with 57 points (30%). The relationship between landslides and conditioning factors was statistically evaluated with FR analysis. The result shows that lithology, soil, and land cover are the most important factors generating landslides. FR values were used to produce the Landslide Susceptibility Index (LSI) and the study area was divided into five zones of relative landslide susceptibility. The result of landslide susceptibility from the mid-region area of Bogor to the southern part was categorized as moderate to high landslide susceptibility zones. The results of the analysis have been validated by calculating the Area Under a Curve (AUC), which shows an accuracy of success rate of 90.10% and an accuracy of prediction rate curve of 87.30%, which indicates a high-quality susceptibility map obtained from the FR model.
引用
收藏
相关论文
共 77 条
[1]  
Audisio C(2009)A GIS tool for historical instability processes data entry: an approach to hazard management in two Italian Alpine River Basins Comput Geosci 35 1735-1747
[2]  
Nigrelli G(2012)Combining landslide susceptibility maps obtained from frequency ratio, logistic regression, and artificial neural network models using ASTER images and GIS Eng Geol 124 12-23
[3]  
Lollino G(2003)Validation of spatial prediction models for landslide hazard mapping Nat Hazard 30 451-472
[4]  
Choi J(2010)Frequency ratio analysis of mass movements in the Xiangxi Catchment, Three Gorges Reservoir Area, China J Earth Sci 21 824-834
[5]  
Oh HJ(2008)Guidelines for landslide susceptibility, hazard, and risk zoning for land use planning, joint technical committee (JTC-1) on landslides and engineered slopes Eng Geol 102 85-98
[6]  
Lee HJ(1999)Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy Geomorphology 31 181-216
[7]  
Lee C(2014)Geological application of geographic information system Korea Inst Geosci Min Resour 9–15 109-118
[8]  
Lee S(2006)Probabilistic landslide hazards and risk mapping on Penang Islands, Malaysia J Earth Syst Sci 115 661-672
[9]  
Chung CF(2004)The effect of spatial resolution on the accuracy of landslide susceptibility mapping: a case study in Boun, Korea Geosci J 8 51-60
[10]  
Fabbri A(2011)Rainfall-induced landslide susceptibility zonation of Puerto Rico Environmental Earth Sciences 66 1667-1681