Research on storm surge disaster risk early warning method based on GIS
WANG Xina1, WANG Xianwei2,3, HUANG Huabing2,3, LIU Chunxia4
1. Guangdong Eco-Engineering Polytechic, Guangzhou 510520; 2. School of Geography and Planning, Sun Yat-Sen University, Guangzhou 510275; 3. Guangdong Provincial Engineering Research Center for Public Security and Disasters, Guangzhou 510275; 4. Guangzhou Institute of Tropical Marine Meteorology, China Meteorological Administration, Guangzhou 510641
Abstract：Storm surge is one of the most severe marine disasters in China. Early warning is a very important non-structural measure for disaster prevention and mitigation. Early warning information of storm surges issued in National Marine Environmental Forecasting Center only contains the water level variations caused by tropical cyclones. The severity of storm surge disaster is determined by the height of storm surge, the phase or the height of astronomical tide,coastal topography,embankment height and socio-economic distribution. Only the early warning of storm surge can not directly predict the impact of the disaster. A monitoring and early warning method for evaluating the impact of storm surge disaster events based on GIS is proposed, which is illustrated by taking typhoon "Nida" as an example. The total tide level prediction in the target area is obtained through the prediction of astronomical tide and storm surge; The storm surge floodplain inundation model is constructed based on the Flood Area to simulate the storm surge floodplain inundation; Combined with the inundation range, depth and socio-economic data, the number of affected people and GDP loss that may be caused by storm surge disaster events are evaluated, and the early warning classification is carried out based on storm surge disaster risk. This method can provide decision support for the emergency management of storm surge disaster events.
王喜娜, 王先伟, 黄华兵, 刘春霞. 基于GIS的风暴潮灾害风险预警方法研究[J]. 中国防汛抗旱, 2021, 31(10): 15-20.
WANG Xina, WANG Xianwei, HUANG Huabing, LIU Chunxia. Research on storm surge disaster risk early warning method based on GIS. journal1, 2021, 31(10): 15-20.
2021, Vol. 31 
