ERG를 활용한 GIS기반의 유해화학물질 피해확산예측시스템

Abstract

Recently, the incidents occur insistently in industrial complex around the world that may can arouse serious damage to people would occur the super disasters such as a toxic chemical leak, fire explosion and gas leak which is caused by chemical transportation vehicle rollover. It is very important to prevent the secondary damage, which could be super disasters, with rapid serious damage spread prediction systems and evacuations. The development of damage spread prediction system is under progress actively with ICT techniques. However its utilization is very low in the real world because of complex user interfaces, client installation environments, variables and low level information of harmful chemical materials. Therefore, this thesis proposes a disaster spreading prediction system model based on GIS utilizing the ERG. If the model works in reality, police and fire crews who have no special knowledge of toxic chemical materials could handle the chemical disaster more easily to prevent spreading incidents in scene. The proposed system is maximized for user convenience by using leverage public data such as weather forecasting. The information of public data is entered automatically to the system. When we serve and contribute the proposed system to national disaster system, the proposed model is going to be expected very helpful not only for protecting civilians health and life but also for the safety of the fire men and the policemen in disaster scene.