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http://dx.doi.org/10.3741/JKWRA.2015.48.9.719

Evaluation of High-Resolution QPE data for Urban Runoff Analysis  

Choi, Sumin (WISE Institute, Hankuk University of Foreign Studies)
Yoon, Seongsim (WISE Institute, Hankuk University of Foreign Studies)
Lee, Byongju (WISE Institute, Hankuk University of Foreign Studies)
Choi, Youngjean (WISE Institute, Hankuk University of Foreign Studies)
Publication Information
Journal of Korea Water Resources Association / v.48, no.9, 2015 , pp. 719-728 More about this Journal
Abstract
In this study, urban runoff analyses were performed using high resolution Quantitative Precipitation Estimation (QPE), and variation of rainfall and runoff were analyzed to evaluate QPE data for urban runoff analysis. The five drainage districts (Seocho3, 4, 5, Yeoksam and Nonhyun) around Gangnam station were chosen as study area, the area is $7.4km^2$. Rainfall data from KMA AWS (34 stations), SKP AWS (156 stations) and Gwanduk radar were used for QPEs in Seoul area. Four types of QPE(QPE1: KMA AWS, QPE2: KMA+ SKP AWS, QPE3: Gwangduk radar, QPE4: QPE2+QPE3) of 6 events in July 2013 were generated by using Krigging and conditional merging. The temporal and spatial resolution of QPEs are 10 minutes and 250 m, respectively. The complex pipe network were treated as 773 manholes, 772 sub-drainage districts and 1,059 pipelines for urban runoff analysis as input data. QPE2 and QPE4 show spatial variation of rainfall by sub-drainage districts as 1.9 times bigger than QPE1. The peak runoff of QPE2 and QPE4 also show spatial variation as 6 times bigger than Gangnam and Seocho AWS. Thus, the spatial variation of rainfall and runoff could exist in small area such as this study area, and using high-resolution rainfall data is desirable for accurate urban runoff analysis.
Keywords
QPE; urban runoff analysis; Gangnam station; spatial variation of rainfall;
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Times Cited By KSCI : 7  (Citation Analysis)
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