Skip to main content

Advertisement

Log in

Typhoon disaster in China: prediction, prevention, and mitigation

  • Original Paper
  • Published:
Natural Hazards Aims and scope Submit manuscript

Abstract

Typhoon-induced disaster is one of the most important factors influencing the economic development and more than 250 million in China. In view of the existing state of typhoon disaster prediction, prevention, and mitigation, this paper proposes a new probability model, Multivariate Compound Extreme Value Distribution (MCEVD), to predict typhoon-induced extreme disaster events. This model establishes prevention criteria for coastal areas, offshore structures, and estuarine cities, and provides an appropriate mitigation scheme for disaster risk management and decision-making.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  • Army Corps of Engineers (2005) History of lake pontchartrain and vicinity hurricane protection project. Report of US Government Accountability Office GAO-06-244T, pp 1–4

  • Gray WM (2003) Twentieth century challenges and milestones. In: Hurricane! Coping with disaster. American Geophysical Union. doi:10.1029/055SP02

  • Joby W, Michael G (2005) Investigators link levee failures to design flaws. Washington Post, October 24, 2005:A01

  • Kirby WH, Moss ME (1987) Summary of flood-frequency analysis in the united states. J Hydrol (Amst) 96:5–14. doi:10.1016/0022-1694(87)90139-9

    Article  Google Scholar 

  • Langley RM, El-Shaarawi AH (1986) On the calculation of extreme wave height: a review. Ocean Eng 13(1):93–118. doi:10.1016/0029-8018(86)90006-5

    Article  Google Scholar 

  • Liu TF (Liu DF) (1982) Long term distributions of hurricane characteristics. Proc Offshore Tech Conf OTC 4325:305–313

    Google Scholar 

  • Liu TF (Liu DF), Ma F (1980) Prediction of extreme wave heights and wind velocities. J Waterw Port Coast Ocean Div ASCE 106(WW4):469–479

    Google Scholar 

  • Liu DF, Shuqin W, Liping W (2002a) Poisson-Gumbel mixed compound distribution and its application. Chin Sci Bull 47(22):1901–1904. doi:10.1360/02tb9416

    Article  Google Scholar 

  • Liu DF, Yan S, Shuqing W, Shuqin W (2002b) Combined environmental loads criteria for marine structures, vol 14191. In: Proceedings of offshore technology conference, Houston, TX, OTC, pp 1749–1755

  • Liu DF, Song Y, Shi H, Yu Y, Ma L (2003) Poisson-logistic compound bivariate extreme distribution and its application for designing of platform deck clearance. In: Proceedings in offshore mechanics & arctic engineering, Cancun, Mexico, OMAE 2003-37395

  • Liu DF, Liping W, Yan S (2004a) Theory of multivariate compound extreme value distribution and its applications in engineering. J Ocean Univ China 34(5):893–902 (in Chinese)

    Google Scholar 

  • Liu DF, Ma L, Jing K (2004b) Risk analysis of the disaster prevention design criteria for an estuarine city—Shanghai. In: Proceedings in offshore mechanics & arctic engineering, Canada, OMAE 2004-51505

  • Liu DF, Pang L, Fu G, Shi H, Fan W (2006a) Joint probability analysis of hurricane Katrina 2005, vol 3. In: Proceeding of international offshore and polar engineering conference, San Francisco, USA, pp 74–80

  • Liu DF, Shi HD, Pang L (2006b) Disaster prevention design criteria for the estuarine cities: New Orleans and Shanghai. Acta Oceanol Sin 25(4):131–142

    Google Scholar 

  • Liu DF, Wang LP, Pang L (2006c) Theory of multivariate compound extreme value distribution and its application to extreme sea state prediction. Chin Sci Bull 51(23):2926–2930. doi:10.1007/s11434-006-2186-x

    Article  Google Scholar 

  • Ochi MK (1982) Stochastic analysis and probabilistic prediction of random seas. Adv Hydrol 13:5–14

    Google Scholar 

  • Schwerdt RW, Ho FP, Watking RR (1979) Meteorological criteria for standard project hurricane and probable maximum hurricane wind fields, Gulf and East Coast of the United States. NOAA Technical Report NWS 23

  • Shi D, Zhou S (1999) Moment estimation for multivariate extreme value distribution in a nested logistic model. Ann Inst Stat Math 51(2):253–264

    Article  Google Scholar 

Download references

Acknowledgments

This work is supported by the National Natural Foundation of China (No. 50679076) and the Office of State Flood Control and Drought Relief Headquarters P.R. China (No. 20060120).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Defu Liu.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Liu, D., Pang, L. & Xie, B. Typhoon disaster in China: prediction, prevention, and mitigation. Nat Hazards 49, 421–436 (2009). https://doi.org/10.1007/s11069-008-9262-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11069-008-9262-2

Keywords

Navigation