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http://dx.doi.org/10.3741/JKWRA.2008.41.7.747

A Selection of the Point Rainfall Process Model Considered on Temporal Clustering Characteristics  

Kim, Kee-Wook (Dept. of Architectural, Civil & Environmental Eng., Korea Univ.)
Yoo, Chul-Sang (Dept. of Architectural, Civil & Environmental Eng., Korea Univ.)
Publication Information
Journal of Korea Water Resources Association / v.41, no.7, 2008 , pp. 747-759 More about this Journal
Abstract
This study, a point rainfall process model, which could represent appropriately observed rainfall data, was to select. The point process models-rectangular pulses Poisson process model(RPPM), Neyman-Scott rectangular pulses Poisson process model(NS-RPPM), and modified Neyman-Scott rectangular pulses Poisson process model(modified NS-RPPM)-all based on Poisson process were considered as possible rainfall models, whose statistical analyses were performed with their simulation rainfall data. As results, simulated rainfall data using the NS-RPPM and the modified NS-RPPM represent appropriately statistics of observed data for several aggregation levels. Also, simulated rainfall data using the modified NS-RPPM shows similar characteristics of rainfall occurrence to the observed rainfall data. Especially, the modified NS-RPPM reproduces high-intensity rainfall events that contribute largely to occurrence of natural harzard such as flood and landslides most similarly. Also, the modified NS-RPPM shows the best results with respect to the total rainfall amount, duration, and inter-event time. In conclusions, the modified NS-RPPM was found to be the most appropriate model for the long-term simulation of rainfall.
Keywords
Point rainfall process model; Poisson process;
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Times Cited By KSCI : 1  (Citation Analysis)
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