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http://dx.doi.org/10.3741/JKWRA.2008.41.9.873

Rainfall Quantile Estimation Using Scaling Property in Korea  

Jung, Young-Hun (School of Civil and Environmental Engineering, Yonsei Univ.)
Kim, Soo-Young (School of Civil and Environmental Engineering, Yonsei Univ.)
Kim, Tae-Soon (BK21 Lecturer, School of Civil and Environmental Engineering, Yonsei Univ.)
Heo, Jun-Haeng (School of Civil and Environmental Engineering, Yonsei Univ.)
Publication Information
Journal of Korea Water Resources Association / v.41, no.9, 2008 , pp. 873-884 More about this Journal
Abstract
In this study, rainfall quantile was estimated using scale invariance property of rainfall data with different durations and the applicability of such property was evaluated for the rainfall data of South Korea. For this purpose, maximum annual rainfall at 22 recording sites of Korea Meteorological Administration (KMA) having relatively long records were used to compare rainfall quantiles between at-site frequency analysis and scale invariance property. As the results, the absolute relative errors of rainfall quantiles between two methods show at most 10 % for hourly rainfall data. The estimated quantiles by scale invariance property can be generally applied in the 8 of 14 return periods used in this study. As an example of down-scaling method, rainfall quantiles of $10{\sim}50$ minutes duration were estimated by scale invariance property based on index duration of 1 hour. These results show less than 10 % of absolute relative errors except 10 minutes duration. It is found that scale invariance property can be applied to estimate rainfall quantile for unmeasured rainfall durations.
Keywords
scaling property; scaling exponent; quantile; rainfall data;
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Times Cited By KSCI : 2  (Citation Analysis)
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