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Correction published on 21 July 2016, see Water 2016, 8(7), 307.

Open AccessArticle
Water 2016, 8(4), 153; doi:10.3390/w8040153

Development of a Watershed-Scale Long-Term Hydrologic Impact Assessment Model with the Asymptotic Curve Number Regression Equation

1
Water Pollution Load Management Research Division, National Institute of Environmental Research, Seogu, Incheon 22689 Korea
2
Department of Agricultural & Biological Engineering, Purdue University, West Lafayette, IN 47907-2093, USA
3
Department of Biological and Agricultural Engineering, Texas A&M University, College Station, TX 77843, USA
4
Department of Regional Infrastructure Engineering, Kangwon National University, Chuncheon, Gangwon 24341, Korea
5
Department of Biological Environment, Kangwon National University, Chuncheon, Gangwon 24341, Korea
*
Author to whom correspondence should be addressed.
Academic Editor: Miklas Scholz
Received: 29 January 2016 / Revised: 30 March 2016 / Accepted: 8 April 2016 / Published: 16 April 2016
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Abstract

In this study, 52 asymptotic Curve Number (CN) regression equations were developed for combinations of representative land covers and hydrologic soil groups. In addition, to overcome the limitations of the original Long-term Hydrologic Impact Assessment (L-THIA) model when it is applied to larger watersheds, a watershed-scale L-THIA Asymptotic CN (ACN) regression equation model (watershed-scale L-THIA ACN model) was developed by integrating the asymptotic CN regressions and various modules for direct runoff/baseflow/channel routing. The watershed-scale L-THIA ACN model was applied to four watersheds in South Korea to evaluate the accuracy of its streamflow prediction. The coefficient of determination (R2) and Nash–Sutcliffe Efficiency (NSE) values for observed versus simulated streamflows over intervals of eight days were greater than 0.6 for all four of the watersheds. The watershed-scale L-THIA ACN model, including the asymptotic CN regression equation method, can simulate long-term streamflow sufficiently well with the ten parameters that have been added for the characterization of streamflow. View Full-Text
Keywords: asymptotic; CN; L-THIA; regression; streamflow; watershed-scale model asymptotic; CN; L-THIA; regression; streamflow; watershed-scale model
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Ryu, J.; Jang, W.S.; Kim, J.; Choi, J.D.; Engel, B.A.; Yang, J.E.; Lim, K.J. Development of a Watershed-Scale Long-Term Hydrologic Impact Assessment Model with the Asymptotic Curve Number Regression Equation. Water 2016, 8, 153.

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