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Scs-cn Parameter Determination Using Rainfall-runoff Data in Heterogeneous Watersheds. the Two-cn System Approach : Volume 8, Issue 5 (05/10/2011)

By Soulis, K. X.

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Book Id: WPLBN0004013047
Format Type: PDF Article :
File Size: Pages 42
Reproduction Date: 2015

Title: Scs-cn Parameter Determination Using Rainfall-runoff Data in Heterogeneous Watersheds. the Two-cn System Approach : Volume 8, Issue 5 (05/10/2011)  
Author: Soulis, K. X.
Volume: Vol. 8, Issue 5
Language: English
Subject: Science, Hydrology, Earth
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Historic
Publication Date:
2011
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

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Soulis, K. X., & Valiantzas, J. D. (2011). Scs-cn Parameter Determination Using Rainfall-runoff Data in Heterogeneous Watersheds. the Two-cn System Approach : Volume 8, Issue 5 (05/10/2011). Retrieved from http://worldebookfair.com/


Description
Description: Agricultural University of Athens, Department of Natural Resources Management and Agricultural Engineering, Division of Water Resources Management, Athens, Greece. The Soil Conservation Service Curve Number (SCS-CN) approach is widely used as a simple method for predicting direct runoff volume for a given rainfall event. The CN values can be estimated by being selected from tables. However, it is more accurate to estimate the CN value from measured rainfall-runoff data (assumed available) in a watershed. Previous researchers indicated that the CN values calculated from measured rainfall-runoff data vary systematically with the rainfall depth. They suggested the determination of a single asymptotic CN value observed for very high rainfall depths to characterize the watersheds' runoff response. In this paper, the novel hypothesis that the observed correlation between the calculated CN value and the rainfall depth in a watershed reflects the effect of the inevitable presence of soil-cover complex spatial variability along watersheds is being tested. Based on this hypothesis, the simplified concept of a two-CN heterogeneous system is introduced to model the observed CN-rainfall variation by reducing the CN spatial variability into two classes. The behavior of the CN-rainfall function produced by the proposed two-CN system concept is approached theoretically, it is analyzed systematically, and it is found to be similar to the variation observed in natural watersheds. Synthetic data tests, natural watersheds examples, and detailed study of two natural experimental watersheds with known spatial heterogeneity characteristics were used to evaluate the method. The results indicate that the determination of CN values from rainfall runoff data using the proposed two-CN system approach provides reasonable accuracy and it over performs the previous original method based on the determination of a single asymptotic CN value. Although the suggested method increases the number of unknown parameters to three (instead of one), a clear physical reasoning for them is presented.

Summary
SCS-CN parameter determination using rainfall-runoff data in heterogeneous watersheds. The two-CN system approach

Excerpt
Hjelmfelt Jr., A. T.: Empirical investigation of curve number technique, J. Hydraul. Div. ASCE, 106, 1471–1476, 1980.; Abon, C. C., David, C. P. C., and Pellejera, N. E. B.: Reconstructing the Tropical Storm Ketsana flood event in Marikina River, Philippines, Hydrol. Earth Syst. Sci., 15, 1283–1289, doi:10.5194/hess-15-1283-2011, 2011.; Adornado, H. A. and Yoshida, M.: GIS-based watershed analysis and surface run-off estimation using curve number (CN) value, J. Environ. Hydrol., 18, 1–10, 2010.; Baltas, E. A., Dervos, N. A., and Mimikou, M. A.: Technical Note: Determination of the SCS initial abstraction ratio in an experimental watershed in Greece, Hydrol. Earth Syst. Sci., 11, 1825–1829, doi:10.5194/hess-11-1825-2007, 2007.; Bonta, J. V.: Determination of watershed Curve Number using derived distribution, J. Irrig. Drain. E.-ASCE, 123, 28–36, 1997.; Bosch, D. D. and Sheridan, J. M.: Stream discharge database, Little River Experimental Watershed, Georgia, United States, Water Resour. Res., 43, W09473, doi:10.1029/2006WR005833, 2007.; Bosch, D. D., Sheridan, J. M., Lowrance, R. R., Hubbard, R. K., Strickland, T. C., Feyereisen, G. W., and Sullivan, D. G.: Little River Experimental Watershed database, Water Resour. Res., 43, W09470, doi:10.1029/2006WR005844, 2007a.; Bosch, D. D., Sheridan, J. M., and Marshall, L. K.: Precipitation, soil moisture, and climate database, Little River Experimental Watershed, Georgia, United States, Water Resour. Res., 43, W09472, doi:10.1029/2006WR005834, 2007b.; Chen, C. L.: An evaluation of the mathematics and physical significance of the Soil Conservation Service curve number procedure for estimating runoff volume, in: Proc., Int. Symp. on Rainfall-Runoff Modeling, Water Resources Publ., Littleton, Colo., 387–418, 1982.; van Dijk, A. I. J. M.: Selection of an appropriately simple storm runoff model, Hydrol. Earth Syst. Sci., 14, 447–458, doi:10.5194/hess-14-447-2010, 2010.; Elhakeem, M. and Papanicolaou, A. N.: Estimation of the runoff curve number via direct rainfall simulator measurements in the state of Iowa, USA, Water Resour. Manag., 23, 2455–2473, 2009.; Grove, M., Harbor, J., and Engel, B.: Composite vs. distributed curve numbers: effects on estimates of storm runoff depths, J. Am. Water Resour. As., 34, 1015–1023, 1998.; Hawkins, R. H.: Runoff curve numbers for partial area watersheds, J. Irrig. Drain. Div. ASCE, 105, 375–389, 1979.; Hawkins, R. H.: Asymptotic determination of runoff curve numbers from data, J. Irrig. Drain. E.-ASCE, 119, 334–345, 1993.; Hawkins, R. H., Hjelmfelt Jr., A. T., and Zevenbergen, A. W.: Runoff probability, relative storm depth, and runoff curve numbers, J. Irrig. Drain. E.-ASCE, 111, 330–340, 1985.; Hjelmfelt Jr., A. T.: Investigation of curve number procedure, J. Hydraul. Eng. ASCE, 117, 725–737, 1991.; Hjelmfelt Jr., A. T., Woodward,&n

 

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