Identification and stochastic generation of representative rainfall temporal patterns in Hong Kong territory |
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| Authors: | Shiang-Jen Wu Jinn-Chuang Yang Yeou-Koung Tung |
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| Institution: | (1) Department of Civil Engineering, National Chiao Tung University, Hsinchu, Taiwan;(2) Department of Civil Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong |
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| Abstract: | In hydrosystem engineering design and analysis, temporal pattern for rainfall events of interest is often required. In this
paper, statistical cluster analysis of dimensionless rainfall pattern is applied to identify representative temporal rainfall
patterns typically occurred in Hong Kong Territory. For purpose of selecting an appropriate rainfall pattern in engineering
applications, factors affecting the occurrence of different rainfall patterns are examined by statistical contingency tables
analysis through which the inter-dependence of the occurrence frequency of rainfall patterns with respect to geographical
location, rainfall duration and depth, and seasonality is investigated. Furthermore, due to inherent variability of rainfall
mass curves or hyetographs within each classified rainfall pattern, a practical procedure to probabilistically generate plausible
rainfall patterns is described. The procedure preserves the inherent stochastic features of random dimensionless rainfall
hyetograph ordinates, which in general are correlated non-normal multivariate compositional variables. |
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| Keywords: | Rainfall pattern Cluster analysis Johnson distribution system Contingency table Constrained Monte– Carlo simulation |
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