Stochastic generation of hourly rainstorm events

Shiang Jen Wu, Yeou-Koung Tung*, Jinn Chuang Yang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

29 Scopus citations

Abstract

Occurrence of rainstorm events can be characterized by the number of events, storm duration, rainfall depth, inter-event time and temporal variation of rainfall within a rainstorm event. This paper presents a Monte-Carlo based stochastic hourly rainfall generation model considering correlated non-normal random rainstorm characteristics, as well as dependence of various rainstorm patterns on rainfall depth, duration, and season. The proposed model was verified by comparing the derived rainfall depth-duration-frequency relations from the simulated rainfall sequences with those from observed annual maximum rainfalls based on the hourly rainfall data at the Hong Kong Observatory over the period of 1884-1990. Through numerical experiments, the proposed model was found to be capable of capturing the essential statistical features of rainstorm characteristics and those of annual extreme rainstorm events according to the available data.

Original languageEnglish
Pages (from-to)195-212
Number of pages18
JournalStochastic Environmental Research and Risk Assessment
Volume21
Issue number2
DOIs
StatePublished - 1 Dec 2006

Keywords

  • Monte Carlo simulation
  • Rainstorm characteristics
  • Stochastic modeling

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