Visual Tsunami Simulation and Disaster Risk Assessment

Authors

Xie Cui, Computer Science and Technology Department of Ocean University of China, Qingdao 266100, China;
Jinjin Xun, Computer Science and Technology Department of Ocean University of China, Qingdao 266100, China;
Xiaowei Zhou, Computer Science and Technology Department of Ocean University of China, Qingdao 266100, China;
Junyu Dong, Computer Science and Technology Department of Ocean University of China, Qingdao 266100, China;

Abstract

Abstract: Based on the effectively modeling and visual simulation of the potential tsunami event in the South China Sea, the tsunami generation, propagation, runup and inundation could be visually simulated with multiple scenarios. The inundation probability, the flood inundation area and degree were computed. The location and function of buildings/critical facilities in the study area were extracted and classified by GIS analysis and image processing technology. Then the population distribution was effectively modeled and the vulnerability of people response was estimated for risk assessment combining with the geographical information and the historical disasters record. This improved method considered the inundation probability of tsunami, the flood speed, depth, and other factors such as population density and available evacuation time, etc. The tsunami risk map was generated based on the decision tree classification method, which helps find the high risk areas for early warning and assists in disaster management and disaster prevention and mitigation.

Recommended Citation

Cui, Xie; Xun, Jinjin; Zhou, Xiaowei; and Dong, Junyu (2020) "Visual Tsunami Simulation and Disaster Risk Assessment," Journal of System Simulation: Vol. 28: Iss. 10, Article 39.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol28/iss10/39

First Page

2567

Revised Date

2016-07-14

DOI Link

https://doi.org/

Last Page

2573

CLC

TP391.9

Recommended Citation

Xie Cui, Xun Jinjin, Zhou Xiaowei, Dong Junyu. Visual Tsunami Simulation and Disaster Risk Assessment[J]. Journal of System Simulation, 2016, 28(10): 2567-2573.