caa a22 4500 467922357 CHVBK 20180406152920.0 cr unu---uuuuu 170328e20060401xx s 000 0 eng 10.1007/s00477-005-0245-5 doi (NATIONALLICENCE)springer-10.1007/s00477-005-0245-5 Identification and stochastic generation of representative rainfall temporal patterns in Hong Kong territory [Elektronische Daten] [Shiang-Jen Wu, Jinn-Chuang Yang, Yeou-Koung Tung] 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. Springer-Verlag, 2005 Rainfall pattern nationallicence Cluster analysis nationallicence Johnson distribution system nationallicence Contingency table nationallicence Constrained Monte-Carlo simulation nationallicence Wu Shiang-Jen Department of Civil Engineering, National Chiao Tung University, Hsinchu, Taiwan aut Yang Jinn-Chuang Department of Civil Engineering, National Chiao Tung University, Hsinchu, Taiwan aut Tung Yeou-Koung Department of Civil Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong aut Stochastic Environmental Research and Risk Assessment Springer-Verlag 20/3(2006-04-01), 171-183 1436-3240 20:3<171 2006 20 477 https://doi.org/10.1007/s00477-005-0245-5 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00477-005-0245-5 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Wu Shiang-Jen Department of Civil Engineering, National Chiao Tung University, Hsinchu, Taiwan aut NATIONALLICENCE 700 1- Yang Jinn-Chuang Department of Civil Engineering, National Chiao Tung University, Hsinchu, Taiwan aut NATIONALLICENCE 700 1- Tung Yeou-Koung Department of Civil Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong aut NATIONALLICENCE 773 0- Stochastic Environmental Research and Risk Assessment Springer-Verlag 20/3(2006-04-01), 171-183 1436-3240 20:3<171 2006 20 477 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer