Sustainability (Switzerland), 8(9).Ĭloke, H. Flash flood hazard susceptibility mapping using frequency ratio and statistical index methods in coalmine subsidence areas. Flash flood susceptibility modeling using an optimized fuzzy rule based feature selection technique and tree based ensemble methods. Multivariate interpolation to incorporate thematic surface data using inverse distance weighting (IDW). This work is licensed under a Creative Commons Attribution-Share A like 4.0 International Licenseīartier, P. Keywords: AHP-weighted information content FFSP GIS GeomorphologyĬopyright (c) 2021 Geosfera Indonesia and Department of Geography Education, University of Jember In conclusion, the factors that significantly trigger flash floods are distance to the river, land use, and slope. The next stage of modeling analysis led to validation using statistic receiver operating Characteristic Curve (ROC) of area Under Curve (AUC) with a value of 90.15. The result showed that the model map of FFPS obtained low 8%, low 23%, moderate 27%, moderate to high 26%, high 13%, and very high 2% index values. Imagery processing was carried out using Landsat 8 30 m x 30 m resolution imagery, such as the Normalized Difference Vegetation Index. Thematic map scale of the land use, river density, distance to the river, rainfall, and geology is in the ratio of is in a ratio of 1:25.000. This study was carried out using geomorphological factors, namely elevation, slope, stream power index, and topographic wetness index, with a resolution of 30 m. Furthermore, the probability statistical methods and GIS were used in flash flood areas in the Pekalen watershed in Andungbiru, Probolinggo village.
The opinion and experience of an expert on the weight assessment method were carried out using the Analytical Hierarchy Process (AHP). Therefore, this research aims to map flash flood potential susceptibility (FFPS) in the Pekalen watershed, using Geographic Information System (GIS) technology and statistical analysis to reduce the risk of flooding.
Flash floods are among the most frequent natural disasters caused by heavy rain associated with a severe thunderstorm, which leads to social and economic losses in infrastructure and agriculture.