A method of estimating high elevation of multi-year return periods

doi:10.3969/j.issn.1000-5641.2017.02.017

Abstract

Abstract:

This paper introduced a method of estimating extreme water level of multi-year return periods where observed data were inadequate, with the instance of Daxiedao Petrochemical Zone in Ningbo, Zhejiang. Strong weather processes caused annual maximum elevations in the past 25 years were chosen, modelled and validated based on observed wind and water elevation data of 2 nearby ocean stations, Dinghai and Zhenhai. By using well validated wind data from WRF model and the ADCIRC storm surge model, 25 years of annual maximum elevations at Daxiedao Petrochemical Zone were simulated and corrected by using the weight-averaged correlation between the model and observation in 2 ocean stations. The extreme water level of multi-year return periods was analyzed based on Gumbel distribution assumption and used for the ocean engineering design and risk investigation.

Key words: Ningbo Daxiedao, multi-year extreme water level, numerical simulation, Gumbel distribution, Weight-averaged correlation

CLC Number:

P731

LU Si-wen, PAN Ling-zhi, XIAO Wen-jun, GONG Mao-xun, CHEN Bing-rui. A method of estimating high elevation of multi-year return periods[J]. Journal of East China Normal University(Natural Sc, 2017, 2017(2): 138-147.

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