Publications

Detailed Information

A Spatial-temporal Rainfall Generator for Flood Response Analysis

Cited 0 time in Web of Science Cited 0 time in Scopus
Authors

Qiang, Yejia; Zhang, Limin; Xiao, Te

Issue Date
2019-05-26
Citation
13th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP13), Seoul, South Korea, May 26-30, 2019
Abstract
The 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.
Language
English
URI
https://hdl.handle.net/10371/153366
DOI
https://doi.org/10.22725/ICASP13.168
Files in This Item:
Appears in Collections:

Altmetrics

Item View & Download Count

  • mendeley

Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.

Share