APPLICATION OF SHANNON’S ENTROPY MODEL AND GIS IN FLASH FLOOD FORECASTING ALONG NATIONAL HIGHWAY-6, HOA BINH PROVINCE, VIETNAM

Abstract

The flash flood is the most dangerous natural disaster to mountainous highways in tropical countries due to its special characteristics. It has occurred quite frequently on mountainous highways and directly threatened road infrastructure, economy, and lives every year. Meanwhile, detailed flash flood spatial prediction maps are rarely available on these highways. Shannon’s Entropy model and GIS permit cheaper, more efficient, easy to use, and updated flash flood-prone areas forecasting. Therefore, this study applied Shannon’s Entropy model and GIS to generate a detailed flash flood susceptibility map along National Highway-6 of Hoa Binh province of Vietnam. Twelve input factors that influence flash floods within the research area were used and collected from different sources. These mentioned factors corresponded to twelve thematic maps in the GIS environment. In this paper, the ROC curve method was used to evaluate the accuracy of the flash flood forecasting map and given a very good value (81.1%). The flash flood forecasting map can help organizers and decision-makers have safety rescue solutions or give early warning to people who have lived along this highway for better flash flood prevention and management.