| Session Details | |
| Section | IG - Interdisciplinary Geosciences |
| Session Title | Modeling of Natural Hazard Risks in Asia and Around the World |
| Main Convener | Dr. Shuangcai Li (Risk Management Solutions, United States) |
| Co-convener(s) | Dr. Yizhong Qu (AIR Worldwide, United States) Dr. Christian Mortgat (Risk Management Solutions, United States) Prof. Jingshan Yu (Beijing Normal University, China) Dr. Guoqiang Wang (Beijing Normal University, China) |
| Session Description | Recent disasters (e.g., 2017 US Hurricane Harvey, 2017 China Floods, 2011 Tohoku Earthquake/Tsunami) have increased the concern of natural hazard risk. Consequently, there is a growing need to adequately assess the risk caused by extreme natural hazards in Asia and around the world. Asia is exposed to extreme meteorological and geological natural disasters with coastal cities very vulnerable to tsunamis and typhoon induced floods. In these regions, the high concentration of economic exposure in flood-prone areas is likely to incur catastrophic losses. It is not uncommon for one large country, such as China, to suffer from both deficient and overwhelming precipitation, i.e. drought and waterlogging, within the same year, resulting in significant damage to property and agriculture. Globally natural disasters appear to occur more frequently, e.g., in 2017 the U.S. were hit by multiple hurricanes which were the strongest in years. These natural disasters significantly damaged the regional well-being and threatened the economy. Numerically modeling the natural hazards through mathematical models and statistical frequency analysis are necessary to understand the risk and evaluate its financial impacts. This session is dedicated to discussion of methodology, techniques and solutions to quantitatively model the entire spectrum of extreme disasters, including all perils (meteorological and geological disasters), all aspects (hazards, vulnerability, risk and resilience), and all impacts (on manufacturing, commercial, agricultural, financial, insurance industry and general economics). |