報告題目：Mapping wind, snow and earthquake hazards for mainland China
Dr. Hong has expertise in the areas of reliability and risk assessment, natural hazard modelling, and design code calibration. He has contributed to the reliability-based and economic efficient structural design code development and calibration. His research aims to provide the information-sensitive reliability-based design of civil structures and infrastructure. Some of his research results are implemented by the code/standard for enhanced and innovative engineering practice. His research group has already developed natural hazard maps focused on extreme wind, snow or earthquake for Canada, Mexico and China. Dr. Hong is actively participating in several committees for design codification and standard, including National Building Code of Canada, Standing Committee on Structural Design; CSA-S408-81 “Guidelines for the Development of Limit States Design”; Canadian Highway Bridge Design Code; and ISO/TC98-SC3-Load, forces and other actions. He holds B.Eng., M.Eng., and Dr. Eng degrees all from National University of Autonomous of Mexico (UNAM). He is the corresponding member of the Mexican Academy of Engineering and fellow of Canadian Society of Civil Engineering.
In this presentation, we provide our experience in mapping wind, snow and earthquake hazards for mainland China. For the wind hazard mapping, we used both the observations from meteorological stations and simulation results from typhoon wind hazard model. The observations from meteorological stations were corrected for exposure and, the typhoon wind hazard model incorporates the typhoon tracks from genesis to lysis. For the snow hazard mapping, we focused on the ground snow load and tested different probabilistic models for snow depth and snowpack bulk density. To mapping seismic hazard, we used a set of newly mapped the ground motion prediction equations, applied kernel smoothing techniques to model seismicity, mapped the seismic hazard and developed uniform hazard spectra. For the analysis, probabilistic analysis framework is followed, cluster analysis is applied, and spatial smoothing is employed. Results are compared with those suggested in Chinese design code - differences are identified and implications are discussed.