Cite this paper:
GUO Yunxia, HOU Yijun, QI Peng. Analysis of typhoon wind hazard in Shenzhen City by Monte-Carlo Simulation[J]. HaiyangYuHuZhao, 2019, 37(6): 1994-2013

Analysis of typhoon wind hazard in Shenzhen City by Monte-Carlo Simulation

GUO Yunxia1,2,4, HOU Yijun1,3,4, QI Peng1,3,4
1 Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China;
2 University of Chinese Academy of Sciences, Beijing 100049, China;
3 Laboratory for Ocean and Climate Dynamics, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China;
4 Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China
As one of the most serious natural disasters, many typhoons affect southeastern China every year. Taking Shenzhen, a coastal city in southeast China as an example, we employed a Monte-Carlo simulation to generate a large number of virtual typhoons for wind hazard analysis. By analyzing 67-year historical typhoons data from 1949 to 2015 using the Best Track Dataset for Tropical Cyclones over the Western North Pacific recorded by the Shanghai Typhoon Institute, China Meteorological Administration (CMASTI), typhoon characteristic parameters were extracted and optimal statistical distributions established for the parameters in relation to Shenzhen. We employed the Monte-Carlo method to sample each distribution to generate the characteristic parameters of virtual typhoons. In addition, the Yan Meng (YM) wind field model was introduced, and the sensitivity of the YM model to several parameters discussed. Using the YM wind field model, extreme wind speeds were extracted from the virtual typhoons. The extreme wind speeds for different return periods were predicted and compared with the current structural code to provide improved wind load information for wind-resistant structural design.
Key words:    typhoon hazard analysis|Monte-Carlo simulation|wind field model|extreme wind speed   
Received: 2018-09-07   Revised: 2019-02-28
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American Society of Civil Engineers. 2005. ASCE/SEI 7-05 minimum design loads for buildings and other structures.ASCE, US.
Batts M E, Simiu E, Russell L R. 1980. Hurricane wind speeds in the United States. Journal of the Structural Division, 106(10):2 001-2 016.
Chen K M. 1981. The typhoon pressure field and wind field models. Acta Oceanologica Sinica, 3(1):44-56. (in Chinese with English abstract)
Chen K M. 1992. A new method calculating typhoon wind field. Marine Forecasts, 9(3):60-65. (in Chinese with English abstract)
Cui W, Caracoglia L. 2015. Simulation and analysis of intervention costs due to wind-induced damage on tall buildings. Engineering Structures, 87:183-197.
Cui W, Caracoglia L. 2016. Exploring hurricane wind speed along US Atlantic coast in warming climate and effects on predictions of structural damage and intervention costs.Engineering Structures, 122:209-225.
Fang G S, Zhao L, Cao S Y, Ge Y J, Pang W C. 2018a. A novel analytical model for wind field simulation under typhoon boundary layer considering multi-field correlation and height-dependency. Journal of Wind Engineering and Industrial Aerodynamics, 175:77-89.
Fang G S, Zhao L, Song L L, Liang X D, Zhu L D, Cao S Y, Ge Y J. 2018b. Reconstruction of radial parametric pressure field near ground surface of landing typhoons in Northwest Pacific Ocean. Journal of Wind Engineering and Industrial Aerodynamics, 183:223-234.
Georgiou P N, Davenport A G, Vickery B J. 1983. Design wind speeds in regions dominated by tropical cyclones. Journal of Wind Engineering and Industrial Aerodynamics, 13(1-3):139-152.
Georgiou P N. 1986. Design Wind Speeds in Tropical CycloneProne Regions. University of Western Ontario, London, Canada.
Harper B A, Holland G J. 1999. An updated parametric model of the tropical cyclone. In:Proceedings of the 23rd Conference on Hurricanes and Tropical Meteorology.AMS, Dallas, Texas.
Holland G J. 1980. An analytic model of the wind and pressure profiles in hurricanes. Monthly Weather Review, 108(8):1 212-1 218.
Hong H P, Li S H, Duan Z D. 2016. Typhoon wind hazard estimation and mapping for coastal region in mainland China. Natural Hazards Review, 17(2):04016001.
Hubbert G D, Holland G J, Leslie L M, Manton M J. 1991. A real-time system for forecasting tropical cyclone storm surges. Weather and Forecasting, 6(1):86-97.
Jakobsen F, Madsen H. 2004. Comparison and further development of parametric tropical cyclone models for storm surge modelling. Journal of Wind Engineering and Industrial Aerodynamics, 92(5):375-391.
Jiang Z H, Hua F, Qu P. 2008. A new scheme for adjusting the tropical cyclone parameters. Advances in Marine Science, 26(1):1-7. (in Chinese with English abstract)
Lee K H, Rosowsky D V. 2007. Synthetic hurricane wind speed records:development of a database for hazard analyses and risk studies. Natural Hazards Review, 8(2):23-34.
Li Q S, Fang J Q, Jeary A P, Wong C K, Liu D K. 2000.Evaluation of wind effects on a supertall building based on full-scale measurements. Earthquake Engineering & Structural Dynamics, 29(12):1 845-1 862.
Li Q S, Fang J Q, Jeary A P, Wong C K. 1998. Full scale measurements of wind effects on tall buildings. Journal of Wind Engineering and Industrial Aerodynamics, 74-76:741-750.
Li Q S, Xiao Y Q, Wong C K, Jeary A P. 2004. Field measurements of typhoon effects on a super tall building.Engineering Structures, 26(2):233-244.
Li Q, Duan Z D. 2005. Shapiro typhoon wind-field model and its numerical simulation. Journal of Natural Disasters, 14(1):45-52. (in Chinese with English abstract)
Li R L. 2007. Prediction of Typhoon Extreme Wind Speeds based on Improved Typhoon Key Parameters. Harbin Institute of Technolog, Harbin, China. (in Chinese with English abstract)
Li S H, Hong H P. 2014. Observations on a hurricane wind hazard model used to map extreme hurricane wind speed.Journal of Structural Engineering, 141(10):04014238.
Li S H, Hong H P. 2015. Use of historical best track data to estimate typhoon wind hazard at selected sites in China.Natural Hazards, 76(2):1 395-1 414.
Li S H, Hong H P. 2016. Typhoon wind hazard estimation for China using an empirical track model. Natural Hazards, 82(2):1 009-1 029.
Li T, Lei Y, Xu Z Q, Liu C. 2009. Initiative research on typhoon simulation by YanMeng wind field model. Journal of Xiamen University (Natural Science), 48(6):840-843. (in Chinese with English abstract)
Li X L, Pan Z D, She J. 1995. A method for adjustment of typhoon parameters. Journal of Oceanography of Huanghai & Bohai Seas, 13(2):11-15. (in Chinese with English abstract)
Lin W, Fang W H. 2013. Regional characteristics of Holland B parameter in typhoon wind field model for Northwest Pacific. Tropical Geography, 33(2):124-132. (in Chinese with English abstract)
Matsui M, Ishihara T, Hibi K. 2002. Directional characteristics of probability distribution of extreme wind speeds by typhoon simulation. Journal of Wind Engineering and Industrial Aerodynamics, 90(12-15):1 541-1 553.
Meng Y, Matsui M, Hibi K. 1993. A theoretical analysis of the wind field in the typhoon boundary layer. Journal of Wind Engineering, 55:7-8. (in Japanese)
Meng Y, Matsui M, Hibi K. 1995. An analytical model for simulation of the wind field in a typhoon boundary layer.Journal of Wind Engineering and Industrial Aerodynamics, 56(2-3):291-310.
Ministry of Housing and Urban-Rural Construction of the People's Republic of China. 2012. GB 50009-2012 Load code for the design of building structures. Construction Industry Press of China, Beijing. (in Chinese)
Mudd L, Wang Y, Letchford C, Rosowsky D. 2014. Assessing climate change impact on the U.S. east coast hurricane hazard:temperature, frequency, and track. Natural Hazards Review, 15(3):04014001.
National Institute of Building Science. 2009. HAZUS-MH MR4 hurricane model technical manual. Federal Emergency Management Agency.
Neumann C J. 1987. The National Hurricane Center Risk Analysis Program (HURISK). NOAA Tech. Memo.NWS-NHC-38, U.S. Department of Commerce, National Oceanic and Atmospheric Administration, National Hurricane Center, Miami.
Ou J P, Duan Z D, Chang L. 2002. Typhoon risk analysis for key coastal cities in southeast China. Journal of Natural Disasters, 11(4):9-17. (in Chinese with English abstract)
Powell M, Soukup G, Cocke S, Gulati S, Morisseau-Leroy N, Hamid S, Dorst N, Axe L. 2005. State of Florida hurricane loss projection model:atmospheric science component.Journal of Wind Engineering and Industrial Aerodynamics, 93(8):651-674.
Rosowsky D V. Mudd L, Letchford C. 2016. Assessing climate change impact on the joint wind-rain hurricane hazard for the northeastern U.S. coastline. In:Gardoni P, Murphy C, Rowell A eds. Risk Analysis of Natural Hazards:Interdisciplinary Challenges and Integrated Solutions.Springer, Cham. p.79-92.
Russell L B. 1969. Probability Distributions for Texas Gulf Coast Hurricane Effects of Engineering Interest. Stanford University, Stanford.
Russell L R. 1971. Probability distributions for hurricane effects. Journal of the Waterways, Harbors and Coastal Engineering Division, 97(1):139-154.
Shapiro L J. 1983. The Asymmetric boundary layer flow under a translating hurricane. Journal of the Atmospheric Sciences, 40(8):1 984-1 998.
She J, Yuan Y L, Pan Z D. 1995. Numerical model of the typhoon wind field over the sea surface and its hindcast calibration. Acta Oceanologica Sinica, 17(3):24-31. (in Chinese)
Sheng L F, Wu Z M. 1993. A new fitting method for sea surface wind field of typhoon. Journal of Tropical Meteorology, 9(3):265-271. (in Chinese with English abstract)
Simiu E, Scanlan R H. 1996. Wind Effects on Structures:Fundamentals and Applications to Design. John Wiley & Sons, Inc., New York.
Standards Association of Australia. 2002. AS/NZS 1170.2:2002 structural design actions part2:wind actions. Standards Association of Australia, New Zealand.
Tao L Y, Yan J Y, Xu J L. 2001. Application of Monte-Carlo simulation method in wind engineering. Journal of Nanjing Institute of Meteorology, 24(3):410-414. (in Chinese with English abstract)
Thompson E F, Cardone V J. 1996. Practical modeling of hurricane surface wind fields. Journal of Waterway, Port, Coastal, and Ocean Engineering, 122(4):195-205.
Typhoon Network of China. 2002. Accessed on 2002-03-01. (in Chinese)
Vickery P J, Skerlj P F, Steckley A C, Twisdale L A. 2000a.Hurricane wind field model for use in hurricane simulations. Journal of Structural Engineering, 126(10):1 203-1 221.
Vickery P J, Skerlj P F, Twisdale L A. 2000b. Simulation of hurricane risk in the U.S. using empirical track model.Journal of Structural Engineering, 126(10):1 222-1 237.
Vickery P J, Twisdale L A. 1995a. Prediction of hurricane wind speeds in the United States. Journal of Structural Engineering, 121(11):1 691-1 699.
Vickery P J, Twisdale L A. 1995b. Wind-field and filling models for hurricane wind-speed predictions. Journal of Structural Engineering, 121(11):1 700-1 709.
Vickery P J, Wadhera D, Twisdale L A, Lavelle F M. 2009.U.S. hurricane wind speed risk and uncertainty. Journal of Structural Engineering, 135(3):301-320.
Vickery P J, Wadhera D. 2008. Statistical models of Holland pressure profile parameter and radius to maximum winds of hurricanes from flight-level pressure and H*Wind data.Journal of Applied Meteorology and Climatology, 47(10):2 497-2 517.
Vickery P J. 2005. Simple empirical models for estimating the increase in the central pressure of tropical cyclones after landfall along the coastline of the United States. Journal of Applied Meteorology, 44(12):1 807-1 826.
Wei W. 2009. Typhoon Wind Hazard Analysis of Shenzhen based on Wind-Field Model Numerical Simulation.Harbin Institute of Technology, Shenzhen. (in Chinese with English abstract)
Xiao Y F, Duan Z D, Xiao Y Q, Ou J P, Chang L, Li Q S. 2011.Typhoon wind hazard analysis for southeast China coastal regions. Structural Safety, 33(4-5):286-295.
Xiao Y F. 2011. Typhoon wind hazard analysis based on numerical simulation and fragility of light-gauge steel structure in southeast China coastal regions. Harbin Institute of Technology, Harbin, China. (in Chinese with English abstract)
Xie R Q, Li X L, Wang Y H, Fang D X. 2015. Typhoon wind numerical simulation and hazard analysis for Guangdong Province. Journal of Anhui Jianzhu University, 23(4):51-55. (in Chinese with English abstract)
Xie R Q, Wu T, Wang Y H. 2014. Adaptability research on typhoon wind-field model. Journal of Hefei University(Natural Sciences), 24(2):84-88. (in Chinese with English abstract)
Xie R Q. 2008. Numerical simulation and typhoon wind hazard analysis based on CE wind-field model and Yan Meng wind-field mode. Harbin Institute of Technology, Harbin, China. (in Chinese with English abstract)
Yasui H, Ohkuma T, Marukawa H, Katagiri J. 2002. Study on evaluation time in typhoon simulation based on Monte Carlo method. Journal of Wind Engineering and Industrial Aerodynamics, 90(12-15):1 529-1 540.
Zhao L, Ge Y J, Song L L, Mao H Q. 2007. Monte-Carlo simulation analysis of typhoon extreme value wind characteristics in Guangzhou. Journal of Tongji University(Natural Science), 35(8):1 034-1 038, 1 068. (in Chinese with English abstract)
Zhao L, Ge Y J, Xiang H F. 2005. Application of typhoon stochastic simulation and its extreme value wind prediction. Journal of Tongji University (Natural Science), 33(7):885-889. (in Chinese with English abstract)
Zhao L, Lu A P, Zhu L D, Cao S Y, Ge Y J. 2013. Radial pressure profile of typhoon field near ground surface observed by distributed meteorologic stations. Journal of Wind Engineering and Industrial Aerodynamics, 122:105-112.