標題: Bivariate frequency analysis of rainfall intensity and duration for urban stormwater infrastructure design
作者: Jun, Changhyun
Qin, Xiaosheng
Gan, Thian Yew
Tung, Yeou-Koung
De Michele, Carlo
防災與水環境研究中心
Disaster Prevention and Water Environment Research Center
關鍵字: Design rainfall;Rainfall DDF;Storm-event analysis;Bivariate frequency analysis;Copula theory
公開日期: 1-Oct-2017
摘要: This study presents a storm-event based bivariate frequency analysis approach to determine design rainfalls in which, the number, intensity and duration of actual rainstorm events were considered. To derive more realistic design storms, the occurrence probability of an individual rainstorm event was determined from the joint distribution of storm intensity and duration through a copula model. Hourly rainfall data were used at three climate stations respectively located in Singapore, South Korea and Canada. It was found that the proposed approach could give a more realistic description of rainfall characteristics of rainstorm events and design rainfalls. As results, the design rainfall quantities from actual rainstorm events at the three studied sites are consistently lower than those obtained from the conventional rainfall depth-duration-frequency (DDF) method, especially for short-duration storms (such as 1-h). It results from occurrence probabilities of each rainstorm event and a different angle for rainfall frequency analysis, and could offer an alternative way of describing extreme rainfall properties and potentially help improve the hydrologic design of stormwater management facilities in urban areas. (C) 2017 Elsevier B.V. All rights reserved.
URI: http://dx.doi.org/10.1016/j.jhydrol.2017.08.004
http://hdl.handle.net/11536/143899
ISSN: 0022-1694
DOI: 10.1016/j.jhydrol.2017.08.004
期刊: JOURNAL OF HYDROLOGY
Volume: 553
起始頁: 374
結束頁: 383
Appears in Collections:Articles