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Regionalization of CN Parameters for Nakdong River Basin using SCE-UA Algorithm  

Jeon, Ji-Hong (Department of Environmental Engineering, Andong National University)
Choi, Dong Hyuk (Department of Environmental Engineering, Andong National University)
Kim, Jung-Jin (Department of Environmental Engineering, Andong National University)
Kim, Tae Dong (Department of Environmental Engineering, Andong National University)
Publication Information
Abstract
CN values are changed by various surface condition, which is cover type or treatment, hydrologic condition, or percent impervious area, even the same combination of land use and hydrologic soil group. In this study, CN parameters were regionalized for Nakdong River Basin by Long-Term Hydrologic Impact Assessment (L-THIA) coupled with SCE-UA, which is one of the global optimization technique. Six watersheds were selected for calibration (optimization) and periodic validation and two watersheds for spatical validation as ungauged watershed within Nakdong River Basin. Nash-Sutcliffe (NS) values were 0.66~0.86 for calibration, 0.68~0.91 for validation, and 0.60 and 0.85 for ungauged watersheds, respectively. Urban area for the selected watersheds covered high impervious area with 85% for residential area and 92% for commercial/industrial/transportation area. Hydrologic characteristics for crop area was similar to row crop with contoured treatment and poor hydrologic condition. For the forested area, hydrologic characteristics could be clearly distinguished from the leaf types of plant. Deciduous, coniferous, and mixed forest showed low, moderate, and high runoff rates by representing wood with fair and poor hydrologic condition, and wood-grass combination with fair hydrologic condition, respectively. CN parameters from this study could be strongly recommended to be used to simulate runoff for ungauged watershed.
Keywords
Curve Number; Global optimization; Parameter regionalization; SCE-UA; Surface runoff;
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Times Cited By KSCI : 3  (Citation Analysis)
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1 기상청(2007). http://kma.go.kr/gw.jsp?to=/weather_main.jsp
2 김종건, 임경재, 박윤식, 허성구, 박준호, 안재훈, 김기성, 최중대(2007). 경사도에 른 CN보정으로 L-THIA 직접유출모의 영향 평가. 학술발표회논문집, 한국수자원학회, pp. 1558-1562
3 Cheng, C. T., Ou, C. P., and Chau, K. W. (2002). Combining a fuzzy optimal model with a genetic algorithm to solve multi-objective rainfall model calibration. Journal of Hydrology, 268(1-4), pp. 72-86   DOI   ScienceOn
4 Duan, Q., Gupta, V. K., and Sorooshian, S. (1993). A shuffled complex evolution approach for effective and efficient global minimization. Journal of Optimzation Theory Application, 76(3), pp. 501-521   DOI   ScienceOn
5 Jeon, J. H., Engel, B. A., Lim, K. J., and Yoon, C. G. (2007). Effect of land use type and hydrologic soil group on SCS CN uncertainty using Monte Carlo simulation. 7th International IWA Symposium on Systems Analysis and Integrated Assessment in Water Management, 7-9 May, 2007, Washington D.C., USA
6 Lim, K. J., Engel, B. A., Tang, Z., Choi, J., Kim, K., Muthukrishnan, S., and Tripathy, D. (2005). Automated Web GIS-based Hydrograph Analysis Tool, WHAT. Journal of the American Water Resource Association, 41(6), pp. 1407- 1416   DOI   ScienceOn
7 Lim, K. J., Engel, B. A., Tang, Z., Muthukrishnan, S., Choi, J., and Kim, K. (2006). Effect of calibration on L-THIA GIS runoff and pollutant estimation. Journal of Environmental Management, 78(1), pp. 35-43   DOI   ScienceOn
8 Madsen, H. (2003). Parameter estimation in distributed hydrological catchment modeling using automatic calibration with multiple objectives. Advances in Water Researches, 26, pp. 205-216   DOI   ScienceOn
9 Web GIS-based Hydrograph Analysis Tool (WHAT) (2007). http://pasture.ecn.purdue.edu/~what
10 Shoemaker, L., Lahlou, M., Bryer, M., Kumar, D., and Kratt, K. (1997). Compendium of tools for watershed assessment and TMDL development, U.S. EPA, Office of Water Washinton, DC 20460, EPA841-B-97-006
11 Grunwald, S. and Norton, L. D. (2000). Calibration and validation of a non-point source pollution model. Agricultural Water Management, 45(1), pp. 17-39   DOI   ScienceOn
12 Eckhardt, K. (2005). How to Construct Recursive Digital Filters for Baseflow Separation. Hydrological Processes, 19(2), pp. 507-515   DOI   ScienceOn
13 Eckhardt, K. and Arnold, J. G. (2001). Automatic calibration of distributed catchment model. Journal of Hydrology, 251, pp. 103-109   DOI   ScienceOn
14 Mohammed, H., Yohannes, F., and Zeleke, G. (2004). Validation of agricultural non-point source (AGNPS) pollution model in Kori watershed, South Wollo, Ethiopia. International Journal of Applied Earth Observation and Geoinformation, 6(2), pp. 97-109   DOI   ScienceOn
15 Nash, J. E. and Sutcliffe, J. V. (1970). River flow forecasting through conceptual model. Part 1: A discussionof principles. Journal of Hydrology, 10(3), pp. 282-290   DOI   ScienceOn
16 Parajka, J., Merz, R., and Bl$\ddot{o}$shl, G. (2005). A comparison of regionalization methods for catchment model parameters. Hydrology and Earth System Science, 9, pp. 157-171   DOI   ScienceOn
17 오경두, 전병호, 양경규, 안원식, 조영호(2005). 도시유역 CN 산정연구. 한국수자원학회논문집, 38(12), pp. 1009-1020   과학기술학회마을   DOI   ScienceOn
18 Ajami, N. K., Gupta, H., Wagener, T., and Sorooshian, S. (2004). Calibration of a semi-distributed hydrologic model for streamflow estimation along a river system. Journal of Hydrology, 298, pp. 112-135   DOI   ScienceOn
19 박승우(1997). 논의 유출곡선번호의 추정과 그 적용에 관한 연구. 과학기술부 951-0601-002-2. 서울대학교
20 Arnold, J. G. and Allen, P. M. (1999). Validation of Aumomated Methods for Estimating Baseflow and Groundwater Recharge from Stream Flow Records. Journal of American Water Resources Association, 35(2), pp. 411-424   DOI   ScienceOn
21 Muleta, M. K. and Nicklow, J. W. (2005). Sensitivity and uncertainty analysis coupled with automatic calibration for a distributed watershed model. Journal of Hydrology, 306 (1-4), pp. 127-145   DOI   ScienceOn