PREDICTION OF STORM SURGE INTENSITY IN COASTAL DISASTER EVALUATION

Sheng Dong, Qiaoling Ji

Abstract


In coastal area, serious storm surge disasters are frequently caused by the higher tidal level and concomitant huge wave heights toward shoreline. Qingdao is located at the southern tip of Shandong Peninsula of China. The storm surge disaster in Qingdao depends on various influencing factors such as the intensity, duration, and route of the passing typhoon. In order to make up the defects of the warning water level, a Poisson Bi-variable Gumbel Logistic Distribution is presented to predict storm surge intensity. On the basis of observed records of tidal level and simultaneously occurred wave height series that are sampled from typhoon processes in Qingdao coastal area of China since 1949, the return periods of typhoon surge are estimated by this model. Then a new criterion is put forward to classify intensity grade of disaster-induced typhoon surges. A practical case indicates that the new criterion is clear in probability concept, easy to operate, and fits the calculation of typhoon surge intensity. Thus the procedure with the proposed statistical model will be a reference for the disaster mitigation in the other coastal area influenced by typhoons.

Keywords


storm surge; Poisson Bi-variable Gumbel Logistic distribution; intensity prediction; disaster prevention

References


Dong, S., F.L., Li, and R.W., Sun. 2000. On the peak over threshold method in the statistical analysis of storm surge elevation and its probability model, Periodical of Ocean University of Qingdao, 30(3), 542-548. (In Chinese with English abstract)

Dong, S., Y., Wei, X.L., Hao, and D.F., Liu. 2003. Extreme prediction of storm surge elevation related to seasonal variation, Proceedings of 13th International Offshore and Polar Engineering Conference, Hawaii, IV, 878-883.

Dong, S., Y.K., Liu, and Y., Wei. 2005. Combined return values estimation of wind speed and wave height with Poisson Bi-variable Log-normal distribution. Proceedings of 15th International Offshore and Polar Engineering Conference, Seoul, Korea, III, 435-439.

Dong, S., W., Liu, and P.J., Xu. 2008. Combination Criteria of Joint Extreme Significant Wave Height and Wind Speed at Weizhoudao Offshore Area. Proceedings of 27th International Conference on Offshore Mechanics and Polar Engineering, Estoril, Portugal, OMAE57219.

Gan, Y.M. 1991. Identification and judgment of disaster extent of typhoon storm surge, Proceedings of Disaster Prevention and Development along Coastal Area of China, Earthquake Publishing House, 322-327.

Gumbel, E.J. 1960. Multivariate extreme distributions, Bulletin of the International Statistical Institute, 39(2): 471-475.

Guo, K.C., M.K., Guo, C.B., Jiang, et al. 1998. Preliminary analysis of disaster caused by Typhoon No.9711 in Shandong Peninsula of China, Marine Forecasts, 15(2), 47-51. (In Chinese)

Langley, R.M., and A.H., El-Shaarawi. 1986. On the calculation of extreme wave heights: a review, Ocean Eng., 13(1), 93-118.http://dx.doi.org/10.1016/0029-8018(86)90006-5

Le, K.T. 1998. Basic problems of risk evaluating method for storm surge disaster, Marine Forecasts, 15(3), 38-44. (In Chinese)

Li, P.S. 1998. Study of typhoon storm surge disaster forecasting method, Marine Forecasts, 15(3), 72-78. (In Chinese)

Liu, D.F. 1982. Long-term distribution of hurricane characteristic, Proceedings of the 12th Offshore Technology Conference, OTC4325, 182.

Liu, D.F., S.Q., Wen, and L.P., Wang. 2002. Poisson-Gumbel Mixed compound distribution and its application, Chinese Science Bulletin, 47(22), 1901-1906.http://dx.doi.org/10.1360/02tb9416

Liu, T.F., and F.S., Ma. 1980. Prediction of extreme wave heights and wind velocities, Wtrwy., Port, Coast. & Ocn Eng., 106(WW4), 469-479.

Papoulis, A. 1991. Probability, Random variables, and Stochastic Processes, McGraw-Hill, Inc., 124-150.

Shi, J.H., M.W., Wang, Y.X., Wang, et al. 2000. Study of grade classification of storm surge disaster, Marine Forecasts, 17(2), 12-15. (In Chinese)

Xu, Q.W., and S.D., Tan. 1998. Research on the Method of Evaluating the Economic Loss Caused by Storm Surge Disaster, Marine Science Bulletin, 17(1), 1-12. (In Chinese with English abstract)


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