Abstract

The main purpose of this study is to detect flash-flood potential areas based on the pre-event characteristics in the study area. Five physical factors including slope, land use, soil texture, tree canopy density, and drainage density were used to create index maps in the Geographic Information System (GIS) environment. Each index was classified from 1 to 10 by identifying their influence levels with the presence or absence of flash floods based on the Flash Flood Potential Index (FFPI) model. As the result, the most susceptible areas were given a value of 10 and the least susceptible areas were given a value of 1. These indices were then mapped and integrated into a weighted linear model. Analytic Hierarchy Process (AHP) was used to determine the weighted correlation among elements based on their importance to this phenomenon. Weighted Flash Flood Potential Index (WFFPI) map was classified into four levels, including very high, high, moderate, and low flash flood potential. The result shows that more than 10% of the total area has the greater possibility to be affected by a high-intensity flood, and distributed at the north and northeast mountain ranges while most of the area is at a medium value with 84.35%. Finally, the similarity between results in this study and reference results from HEC-RAS model showed the reliability of the applied method.

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