Host: The Japanese Society for Artificial Intelligence
Name : The 33rd Annual Conference of the Japanese Society for Artificial Intelligence, 2019
Number : 33
Location : [in Japanese]
Date : June 04, 2019 - June 07, 2019
In order to facilitate flood and landslide damage assessment, we propose an evaluation method that can predict the total number of damaged houses with high accuracy immediately after a disaster. To improve accuracy, we narrowed the exposure down by using low-lying and landslide high-risk areas and apply the precipitation of 15-year return period as a threshold to the original precipitation to take account of disaster preparedness by each local government. When applied to two heavy rain events occurred in 2017 and 2018 and validated the method, we confirmed that it can be well reproduced in any prefecture.
