Analysis of Landslide Susceptibility Zone using Frequency Ratio and Logistic Regression Method in Hambalang, Citeureup District, Bogor Regency, West Java Province

4th International Conference of Indonesian Society for Remote Sensing

物理学;能源学

Hidayat, S.^1 ; Pachri, H.^1 ; Alimuddin, I.^1

Department of Geological Engineering, Hasanuddin University, Makassar, Indonesia^1

关键词: Frequency ratios;    Geological conditions;    Landslide susceptibility;    Logistic regression method;    Logistic regressions;    Model-based OPC;    Study areas;    Three zones;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/280/1/012005/pdf
DOI  :  10.1088/1755-1315/280/1/012005

来源: IOP

【 摘 要 】

Hambalang area is one of the regions susceptible to landslide events. This is due to unstable geological conditions and high rainfall. Administratively, research area included in Citeureup District, Bogor Regency, West Java Province. Astronomically, research area is located at the coordinates 106°51'30" - 106°53'30" East Longitude and 06°32' - 06°34' South Latitude. This study aims to determine the geological conditions of the study area and conduct susceptibility zoning in the Hambalang area using the method of Frequency Ratio and Logistic Regression. The geological conditions of the study area consist of geomorphology in the form of corrugated and flatland morphological units, stratigraphy consisting of claystone units, andesite units and alluvial units, and the structure of the Sumurbatu anticline. The parameters used to analyze the causes of landslide are slope, geology, rainfall, soil type, land use and distance from rivers. There were 19 landslide events identified in the study area. The relationship between occurrences of landslide and the parameters mentioned earlier can be quantified using the value of Frequency Ratio and Logistic Regression. Based on the results of the validation with the Frequency Ratio method, the AUC value of 0.6854 which shows the model of landslide susceptibility based on the selection of parameters and the adequacy of the landslide event data is good. The value of the frequency ratio of the model is divided into three zones of susceptibility, namely high (42.30%), moderate (20.34%) and low (37.36%). Based on the results of the validation with the Logistic Regression method, the AUC value of 0.762 also shows the landslide susceptibility model based on the selection of parameters and the adequacy of the landslide event data so that the Logistic Regression value of the model is divided into three susceptibility zones, namely high (56.89%), moderate (19.53%) and low (23.68%).