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A statistical analysis of typhoon frequency and application in design wave height

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Abstract

A typhoon leading is an important natural disaster to many disasters to China. A giant wave caused by it has brought large threat for an offshore project. Based on the maximum entropy principle, one new model which has 4 undetermined parameters is constructed, which is called the discrete maximum entropy probabilistic model. In practical applications, the design wave height is considered as soon as possible in a typhoon affected sea areas, the result fits the observed data well. Further more this model does not have the priority compared with other distributions as Poisson distribution. The model provides a theoretical basis for the engineering design more reasonable when considering typhoon factors comprehensively.

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References

  • Camargo Suzana J, Adam H Sobel. 2005. Western North Pacific tropical cyclone intensity and ENSO. J Climate, 18: 2996–3006

    Article  Google Scholar 

  • Dong Sheng, Hao Xiaoli, Li Feng, et al. 2005. Long term distribution of disaster-caused typhoon storm surges in the coastal area. Advances in Water Science, 16(1): 42–46

    Google Scholar 

  • Jiang Jianfei, Hu Liangjian, Tang Jian. 2004. Numerical analysis and the test of MATLAB. Beijing: Science Press, 67–70

    Google Scholar 

  • Kirby W H, Moss M E. 1987. Summary of floodfrequency analysis in the United States. Journal of Hydrology, 96: 5–14

    Article  Google Scholar 

  • Langley R M, El-Shaarawi A H. 1986. On the calculation of extreme wave heights: a review. Ocean Engineering, 13(1): 93–118

    Article  Google Scholar 

  • Liu T F. 1982. Long term distributions of hurricane characteristics. Pro Offshore Technology Conference OTC, 4325: 305–313

    Google Scholar 

  • Liu Defu, Dong Sheng. 2000. System analysis of disaster prevention design criteria for coastal and estuarine cities. China Ocean Engineering, 14(1): 69–78

    Google Scholar 

  • Liu T F, Ma F S. 1980. Prediction of extreme wave heights and wind velocities. Journal of the Waterway Port Coastal and Ocean Division, ASCE, 106: 469–479

    Google Scholar 

  • Webster P J, Holland G J, Curry J A, et al. 2005. Changes in tropical cyclone number, duration, and intensity in a warming environment. Science, 309: 1843–1846

    Article  Google Scholar 

  • Shi Daoji. 2006. The practical methods of extreme value statistics. Tianjin: Tianjin Science and Technology Press, 60–77

    Google Scholar 

  • Xia Huayong, Li Shuhua. 2001. An analysis on annual extreme wave height distributions along Guangxi coast. Tropic Oceanology, 20(1): 1–6

    Google Scholar 

  • Xu Delun, Zhang Jun. 2004. Maximum entropy estimation of n-year extreme wave heights. China Ocean Engineering, 18(1): 307–314

    Google Scholar 

  • Ye Qixiao, Liang Zaizhong. 1992. The handbook of mathematics. Beijing: Science Press, 441–451

    Google Scholar 

  • Zhang Xiaohui, Sheng Chunyan, Shao Zihe. 2006. Analysis of storm surge at coastal area of Qingdao. Marine Forecasts, 23(9): 42–46

    Google Scholar 

Download references

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Correspondence to Liping Wang.

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Foundation item: Open Fund of the Key Laboratory of Research on Marine Hazards Forecasting under contract No. LOMF1101; the National Natural Science Foundation of China under contract No. 40776006; Shanghai Typhoon Research Fund under contract No. 2009ST05.

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Wang, L., Zhang, J., Li, Y. et al. A statistical analysis of typhoon frequency and application in design wave height. Acta Oceanol. Sin. 30, 24–32 (2011). https://doi.org/10.1007/s13131-011-0130-7

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  • DOI: https://doi.org/10.1007/s13131-011-0130-7

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