Open AccessFlood Susceptibility Assessment (FSA) Using GIS-Based Frequency Ratio (FR) Model in Kota Belud, Sabah, Malaysia
Author(s) -
Kamilia Sharir,
Rodeano Roslee
Publication year - 2022
Publication title -
international journal of design and nature and ecodynamics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.193
H-Index - 13
eISSN - 1755-7445
pISSN - 1755-7437
DOI - 10.18280/ijdne.170206
Subject(s) - topographic wetness index , flood myth , bivariate analysis , elevation (ballistics) , hydrology (agriculture) , digital elevation model , drainage density , drainage , geographic information system , environmental science , natural hazard , cartography , geography , geology , remote sensing , statistics , drainage basin , meteorology , mathematics , geotechnical engineering , biology , ecology , geometry , archaeology
The flood is one of the most devastating natural disasters to strike Sabah, Malaysia, especially in the Kota Belud region. The Flood Susceptibility Analysis (FSA) was described using bivariate statistical analysis (the Frequency Ratio model) based on a Geographical Information System (GIS). Field surveys and formal reports from local authorities in the study area created the flood inventory map. The training dataset for statistical analysis consisted of 100 flood locations inundated in 2017, while the validation dataset consisted of 54 flood locations from the 2016 flood report. Eight (8) parameters (elevation, slope curvature, slope angle, topography wetness index, drainage density, drainage proximity, land use, and soil type) were extracted from the database and then converted into a raster format with a cell size of 5m x 5m. Finally, using the natural break classification method, the FSA was generated and classified into five classes: very low, low, moderate, high, and very high susceptibility. The area under the curve (AUC) analysis validated the flood susceptibility model's accuracy. The success rate AUC was calculated to be 0.89, while the prediction rate AUC was 0.82. The flood susceptibility analysis could be used to develop flood mitigation strategies in land use planning.