基于Poisson过程的沿海地区飓风灾害评估

Translated title of the contribution: Hurricane damage assessments for coastal areas based on a Poisson model

Quanwang Li, Cao Wang, Aming Zou, Long Pang, Long Zhang

Research output: Contribution to journalArticleResearchpeer-review

Abstract

Previous hurricane damage assessments for coastal areas have ignored the intermittent nature of hurrucanes. This paper presents an hurricane damage assessment method that accounts for the intermittency. A Poisson model is used in this paper to describe the hurricane stochastic process with explicit formulas for the hurricane damage assessment. Hurricane data for Miami-Dade County, USA, from 1900 to 2010 were used to illustrate the method. The Poisson model provides a reasonable description of the hurricane stochastic characteristics. The mean and the variance of the hurricane damage are overestimated while the coefficient of variance is underestimated if the intermittency is ignored. For example, for a 50-year service period, the mean cumulative hurricane damage is overestimated by 41.4% while the variance is over estimated by 20.05% if the intermittency is ignored.

Translated title of the contributionHurricane damage assessments for coastal areas based on a Poisson model
Original languageChinese
Pages (from-to)801-805
Number of pages5
JournalJournal of Tsinghua University
Volume56
Issue number8
DOIs
Publication statusPublished - 2016
Externally publishedYes

Keywords

  • Damage assessment
  • Hurricanes
  • Intermittency
  • Poisson process
  • Probabilistic model

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