Development of A Rapid Typhoon Loss Estimation System in China
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1 1 st Annual Conference of the International Society for Integrated Disaster Risk Management - IDRiM 2010 September 1-4, 2010, Vienna, Austria Development of A Rapid Typhoon Loss Estimation System in China Ying LI, Weihua FANG State Key Laboratory of Surface Processes and Resource Ecology Beijing Normal University Supported by National Key Technology R&D Programs of China (2006BAD20B03 and 2008BAK49B04)
2 Outline 1. Background 2. Data and Method 3. System Implementation 4. Further Study
3 1. Background Catastrophes in the past several years Early 2008 Winter Storm Great 5.12 Wenchuan Earthquake (2008) Qinghai Yushu Earthquake (2010) Zhouqu Flash-flood & Mudflow (2010) Rapid Loss Estimation System Rescue Resource Request Resource Optimization Government Assistance
4 1. Background To provide a web-based system for typhoon rapid loss estimation Easy to use web-based (B/S) system Hazard forecasting and monitoring: wind and rainfall Detailed inventory of population and property Resources query, mapping and allocation optimization Supported by MOST and to be deployed for MoCA, China
5 2. Data and Method Geographic Information System (GIS) Dataset Topography (elevation, slope, direction, etc.) River system, drainage boundary, river defense system Satellite-derived land-use dataset Administrative boundary (province, county, town, village)
6 2. Data and Method
7 2. Data and Method Population and property Population (1km * 1km) Rural residential building (1km * 1km) GDP(1km* 1km) Crops (1km * 1km) Emergency response resource Transportation: airport, road/highway, port Food, medicine, tents, water Rescue team Local community info
8 2. Data and Method
9 2. Data and Method
10 2. Data and Method
11 2. Data and Method Typhoon Hazard: Model Forecasting and Satellite Monitoring Monitoring: Quasi Real Time Forecasting: Model Output
12 Loss Assessment: General Framework 2. Data and Method Key issue to be resolved: Vulnerability function, Uncertainty Analysis Detailed Modeling Method: Discussed by Mr. Xingchun ZHONG
13 3. System Implementation Early Warning: 24h and 48h warning lines
14 3. System Implementation Flexible Track Query: Historical, current and forecasting
15 3. System Implementation From TC track to wind swath : GIS Algorithm (1) Harbin 1985/8/20 0:00Z 40 Changchun Huhohot Shenyang1985/8/19 18:00Z Xining Lanzhou Yinchuan Beijing Tianjin Taiyuan Shijiazhuang 1985/8/19 12:00Z Jinan 1985/8/19 6:00Z 35 Xi'an Zhengzhou 1985/8/19 0:00Z 1985/8/18 18:00Z Chengdu Chongqing Guiyang Nanning Wuhan Changsha Nanchang Hongkong Macau Guangzhou Hefei Nanjing Shanghai 1985/8/18 0:00Z Hangzhou 1985/8/18 12:00Z 1985/8/18 6:00Z 1985/8/17 18:00Z 1985/8/17 12:00Z 1985/8/17 6:00Z 1985/8/17 0:00Z 1985/8/16 18:00Z 1985/8/16 12:00Z 1985/8/16 6:00Z Fuzhou 1985/8/16 0:00Z 1985/8/15 18:00Z Taipei 1985/8/15 0:00Z Taibei1985/8/14 18:00Z 1985/8/15 6:00Z 1985/8/14 12:00Z 1985/8/14 6:00Z Intensity category Weaker than Tropical Depression Tropical Depression (TD, m/s) Tropical Storm (TS, m/s) Severe Tropical Storm (STS, m/s) Typhoon (TY, m/s) 5-Severe Typhoon (STY, m/s) 6-Super Typhoon (SuperTY, 51.0 m/s) 9-Extratropical Transition Cyclone (ET) Wind Swath Beaufort Scale 6 Beaufort Scale 8 Beaufort Scale 10 Real Wind Range Haikou Beaufort Scale 6 Beaufort Scale 8 Beaufort Scale (Mimie)
16 3. System Implementation From TC track to wind swath : GIS Algorithm (2) 0505(Haitang)
17 3. System Implementation Satellite Rainfall Monitoring: TRMM (3h) and FY2, and FY3 (1h)
18 3. System Implementation Rapid Loss Assessment: map, graph, PDF output
19 4. Future Study Loss Assessment Inland flood Storm surge Uncertainty Analysis Emergency Response Resources Allocation Optimization
20 Thank you for your attention
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