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A Spatial-temporal Rainfall Generator for Flood Response Analysis

DC Field Value Language
dc.contributor.authorQiang, Yejia-
dc.contributor.authorZhang, Limin-
dc.contributor.authorXiao, Te-
dc.date.accessioned2019-05-14T03:03:58Z-
dc.date.available2019-05-14T03:03:58Z-
dc.date.issued2019-05-26-
dc.identifier.citation13th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP13), Seoul, South Korea, May 26-30, 2019-
dc.identifier.isbn979-11-967125-0-1-
dc.identifier.otherICASP13-168-
dc.identifier.urihttps://hdl.handle.net/10371/153366-
dc.description.abstractThe Guangdong-Hong Kong-Macao Bay Area, located in the southeast of China, suffers typhoon-related storms and floods. This paper presents a spatial-temporal rainfall generation model for regional flood response analysis, with its parameters easily obtainable from historical point observations. The model generates point rainfall event series at different rainfall stations with variables describing the external structure and a predefined internal profile within an alternating renewal model framework. Spatial correlation of rainfall process between different sites within the study area is considered, and the areal rainfall distribution of each time slot is obtained from multi-point rainfall amounts. The model performs well in the reproduction of regional rainfall statistical characteristics.-
dc.description.sponsorshipThis research was supported by Science and Technology Plan of Shenzhen (20180428170335970) and the Research Grants Council of the Hong Kong SAR Government (Nos. C6012-15G and 16206217).-
dc.language.isoen-
dc.titleA Spatial-temporal Rainfall Generator for Flood Response Analysis-
dc.typeConference Paper-
dc.identifier.doi10.22725/ICASP13.168-
dc.sortNo832-
dc.citation.pages876-882-
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