Application of Conformal Map Function to improve Similarity of SIND Model

Abstract

In recent years, the frequency of major disasters has been increasing, and the ability to respond to disasters has been reevaluated. In Korea, various disaster co untermeasures have been established to cope with major disasters such as flood, storm surges and so on, and efforts have been made to establish unstructured me asures such as scenario-based risk prediction for each disaster. However, scenari o-based disaster countermeasures are difficult to predict for specific scenarios th at have not been already established, and it is not easy to respond quickly in the event of a disaster. National Disaster Management Institute, Korea(2017) develope d the SIND(Scientific Interpolation for Natural Disaster) as a specialized interpolati on model to cope with all scenarios within short time to conduct next step. In thi s study, evaluation of SIND model using COMSOL Multiphysics was conducted for storm surge. For the evaluation, the similarity of shape was analyzed by CRITIC (CRiteria Importance Through Intercriteria Correlation) technique to compare the e stablished flood hazard map and SIND model. Conformal map function was also ap plied to reduce errors caused by complex terrains. The SIND model for target ar ea has a total of 10 pairs of face objects, and the total shape similarity is about 87%. Generally, when the acceptable threshold of shape similarity is 0.75 in geos patial information field, the result of SIND model applied conformal map function has higher accuracy. If we would divide finer complex terrain, we will be expect to obtain more accurate result. However, the specific criteria related to division will be required before applying into model.