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http://dx.doi.org/10.3741/JKWRA.2015.48.6.491

Improving Initial Abstraction Method of NRCS-CN for Estimating Effective Rainfall  

Park, Dong-Hyeok (Dept. of Civil and Environmental Engineering, Hanyang Univ.)
Ajmal, Muhammad (Dept. of Civil and Environmental Engineering, Hanyang Univ.)
Ahn, Jae-Hyun (Dept. of Civil and Architecture Engineering, Seokyung Univ.)
Kim, Tae-Woong (Dept. of Civil and Environmental Engineering, Hanyang Univ.)
Publication Information
Journal of Korea Water Resources Association / v.48, no.6, 2015 , pp. 491-500 More about this Journal
Abstract
In order to improve the runoff estimation accuracy of the Natural Resources Conservation Service (NRCS) curve number (CN) model, this study incorporated rainfall and maximum potential retention as contributors for initial abstraction. The modification was proposed based on 658 rank-order data of rainfall and subsequent runoff from 15 watersheds. The NRCS-CN model (M1), one of its inspired modified model (M2), and the proposed model (M3) were analyzed employing different CN approaches. Using tabulated, calculated and least squares fitted CNs ($CN_T$, $CN_C$, $CN_{LSF}$, respectively), the models' performances were evaluated based on Root Mean Square Error (RMSE), Nash-Sutcliffe Efficiency (NSE), and Percent Bias (PBIAS). Applications of model M1, M2, and M3, respectively exhibited watershed cumulative mean [RMSE (23.60, 18.12, 16.04), NSE (0.54, 0.73, 0.79), and PBIAS (36.54, 20.25, 12.00)]. Similarly, using CNC (for M1 and M2 model) and $CN_{LSF}$ (for M3 model), the performance of three models respectively were assessed based on watershed cumulative mean [RMSE (17.17, 15.88, 13.82), NSE (0.76, 0.80, 0.85), and PBIAS (3.06, 4.47, 0.11)]. The proposed model (M3) that linked all of the NRCS-CN variants showed more statistically significant agreement between the observed and estimated data.
Keywords
effective rainfall; initial abstraction; NRCS-CN model; performance evaluation;
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