Comparison between the Weight of Evidence and Frequency Ratio Methods to Analyze Landslide Susceptibility Area: A Case Study of Khlong-Klai River Basin, Nakhon Si Thammarat Province
Keywords:
Geographic Information Systems, Landslide Susceptibility Area, Weight of Evidence, Frequency Ratio, Khlong-Klai River BasinAbstract
This research applied geographic information system (GIS) technology to assess landslide susceptibility of Khlong-Klai river basin, Nakhon Si Thammarat Province. Two methods of GIS, namely, Weight of Evidence (WoE) and Frequency Ratio (FR), were used to analyze the landslide susceptibility areas. Landslide susceptibility maps were produced from area-based data, i.e., rainfall, slope angle, altitude from sea level, geological data, slope aspect, land use, soil type, distance from streams and faults and historical data of landslide in the area. To validate the landslide susceptibility model, area under curve (AUC) analysis and landslide density index (LDI) were used. The results of both model similarly indicated high and very high susceptibilities in the areas around the river basin and those located on the hill slope and top hills. Accuracy of the predictions, based on AUC values, by the FR and WoE models were 73.7 and 73.6 percent, respectively. LDI results from both model maps could be used to identify the areas of high susceptibility and very high susceptibility; the results agreed with the historical data of landslides in the area of study.
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