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한국수자원학회 / v.2, no.4, 2001년, pp.219-229 
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( A STUDY ON THE PARAMETER ESTIMATION OF SNYDER-TYPE SYNTHETIC UNIT-HYDROGRAPH DEVELOPMENT IN KUM RIVER BASIN ) |
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| 초 록 |
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| Synthetic unit hydrograph equations for rainfall run-off characteristics analysis and estimation of design flood have long and quite frequently been presented, the Snyder and SCS synthetic unit hydrograph. The major inputs to the Snyder and SCS synthetic unit hydrograph are lag time and peak coefficient. In this study, the methods for estimating lag time and peak coefficient for small watersheds proposed by Zhao and McEnroe(1999) were applied to the Kum river basin in Korea. We investigated lag times of relatively small watersheds in the Kum river basin in Korea. For this investigation the recent rainfall and stream flow data for 10 relatively small watersheds with drainage areas ranging from 134 to 902 square kilometers were gathered and used. 250 flood flow events were identified along the way, and the lag time for the flood events was determined by using the rainfall and stream flow data. Lag time is closely related with the basin characteristics of a given drainage area such as channel length, channel slope, and drainage area. A regression analysis was conducted to relate lag time to the watershed characteristics. The resulting regression model is as shown below: ※ see full text (equations) In the model, Tlag is the lag time in hours, Lc is the length of the main river in kilometers and Se is the equivalent channel slope of the main channel. The coefficient of determinations (r$^2$)expressed in the regression equation is 0.846. The peak coefficient is not correlated significantly with any of the watershed characteristics. We recommend a peak coefficient of 0.60 as input to the Snyder unit-hydrograph model for the ungauged Kum river watersheds |
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| 키워드 |
| synthetic unit hydorgraph;Snyder type;lag time;peak coefficient; |
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Water Engineering Research / v.2, no.4, 2001년, pp.219-229
한국수자원학회
ISSN : 1229-6503
UCI : G100:I100-KOI(KISTI1.1003/JNL.JAKO200111920918368)
언어 : 영어 |
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| 논문 제공 : KISTI 한국과학기술정보연구원 |
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