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http://dx.doi.org/10.3741/JKWRA.2012.45.3.275

A Study on Optimal Time Distribution of Extreme Rainfall Using Minutely Rainfall Data: A Case Study of Seoul  

Yoon, Sun-Kwon (Dept. of Civil and Environ. Eng., KAIST Institute for Urban Space and Systems)
Kim, Jong-Suk (School of Energy and Environment, City University of Hong Kong)
Moon, Young-Il (Dept. of Civil Eng., The University of Seoul)
Publication Information
Journal of Korea Water Resources Association / v.45, no.3, 2012 , pp. 275-290 More about this Journal
Abstract
In this study, we have developed an optimal time distribution model through extraction of peaks over threshold (POT) series. The median values for annual maximum rainfall dataset, which are obtained from the magnetic recording (MMR) and the automatic weather system(AWS) data at Seoul meteorological observatory, were used as the POT criteria. We also suggested the improved methodology for the time distribution of extreme rainfall compared to Huff method, which is widely used for time distributions of design rainfall. The Huff method did not consider changing in the shape of time distribution for each rainfall durations and rainfall criteria as total amount of rainfall for each rainfall events. This study have suggested an extracting methodology for rainfall events in each quartile based on interquartile range (IQR) matrix and selection for the mode quartile storm to determine the ranking cosidering weighting factors on minutely observation data. Finally, the optimal time distribution model in each rainfall duration was derived considering both data size and characteristics of distribution using kernel density function in extracted dimensionless unit rainfall hyetograph.
Keywords
minutely rainfall; peak over threshold series; extreme rainfall; time distribution of rainfall; kernel density function;
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Times Cited By KSCI : 8  (Citation Analysis)
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