Technical Papers
Jan 16, 2012

Improved CN-Based Long-Term Hydrologic Simulation Model

Publication: Journal of Hydrologic Engineering
Volume 17, Issue 11

Abstract

Employing the advanced soil moisture accounting (ASMA) procedure and the modified subsurface drainage flow concept, a curve number (CN)–based model, named as modified long-term hydrologic simulation advance soil moisture accounting (MLTHS ASMA) model, is proposed to simulate daily flows. Its application to 17 watersheds falling in different agro-climatic zones of India and comparison with the existing long-term hydrologic simulation advance soil moisture accounting (LTHS ASMA) model reveal that the proposed model yields higher efficiency, lower standard error of estimate (SE) and percentage relative error (RE) values for high runoff producing wet watersheds, and lower efficiency for low runoff producing dry watersheds, indicating a very good model response to wet watersheds, and good to satisfactory-to-dry watersheds. On most watersheds, the proposed model performed better than the existing one. In addition, CN parameters for surface and subsurface flows were most sensitive followed by the parameters related with soil characteristics, and the significance of base flow was greater in wet watersheds than in dry watersheds.

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References

Agro-Climatic Zones. 〈http://www.krishisewa.com/krishi/Azone.html〉 (Aug. 20, 2010).
Arnold, J. G., Allen, P. M., and Bernhardt, G. (1993). “A comprehensive surface groundwater flow model.” J. Hydrol., 142(1–4), 47–69.
Arnold, J. G., and Fohrer, N. (2005). “SWAT 2000. Current capabilities and research opportunities in applied watershed modeling.” Hydrol. Processes, 19(3), 563–572.
Arnold, J. G., Williams, J. R., Nicks, A. D., and Sammons, N. B. (1990). SWRRB: A Basin Scale Simulation Model for Soil and Water Resources Management, Texas A&M University Press, College Station, TX.
Boughton, W. C. (1968). “A mathematical model of estimating runoff.” J. Hydrol. N.Z., 7(2), 75–100.
Canadian Texture Triangle. (2010). 〈http://www.pedosphere.com/resources/texture/triangle.cfm〉 (Aug. 20, 2010).
Carsel, R., Imhoff, J., Hummel, P., Cheplick, J., and Donigan, A. (1997). PRZM 3.1 user’s manual, National Exposure Research Lab, Office of Research and Development, U.S. Environmental Protection Agency, Athens, GA.
Choi, J. Y., Engel, B. A., and Chung, H. W. (2002). “Daily stream flow modelling and assessment based on the curve number technique.” Hydrol. Processes, 16(16), 3131–3150.
Donigian, A. S., Imhoff, J. C., and Bicknell, B. R. (1983). “Predicting water quality resulting from agricultural nonpoint source pollution via simulation—HSPF.” Agricultural management and water quality, Iowa State University Press, Ames, IA, 200–249.
Douglas, E. M., Jacobs, J. M., Sumner, D. M., and Ray, R. L. (2009). “A comparison of models for estimating potential evapotranspiration for florida land cover types.” J. Hydrol., 373(3–4), 366–376.
Durbude, D. G., Jain, M. K., and Mishra, S. K. (2011). “Long-term hydrological simulation using SCS-CN-based improved soil moisture accounting procedure.” Hydrol. Processes, 25(4), 561–579.
EI-Sadek, A., Feyen, J., and Berlamont, J. (2001). “Comparison of models for computing drainage discharge.” J. Irrig. Drain. Eng., 127(6), 363–369.
Fentie, B., Yu, B., Silburn, M. D., and Ciesiolka, C. A. A. (2002). “Evaluation of eight different methods to predict hillslope runoff rates for a grazing catchment in Australia.” J. Hydrol., 261(1–4), 102–114.
Gan, T. Y., Dlamini, E. M., and Bifu, G. F. (1997). “Effects of model complexity and structure, data quality, and objective functions on hydrologic modeling.” J. Hydrol., 192(1–4), 81–103.
Geetha, K., Mishra, S. K., Eldho, T. I., Rastogi, A. K., and Pandey, R. P. (2007). “Modification to SCS-CN method for long-term hydrologic simulation.” J. Irrig. Drain. Eng., 133(5), 475–486.
Geetha, K., Mishra, S. K., Eldho, T. I., Rastogi, A. K., and Pandey, R. P. (2008). “SCS-CN based continuous simulation model for hydrologic forecasting.” Water Resour. Manage., 22(2), 165–190.
Gupta, H. V., Sorooshian, S., and Yapo, P. O. (1999). “Status of automatic calibration for hydrologic models: Comparison with multilevel expert calibration.” J. Hydrol., 4(2), 135–143.
Harbor, J. M. (1994). “A practical method for estimating the impact of land use change on surface runoff, groundwater recharge, and wetland hydrology.” J. Am. Plann. Assoc., 60(1), 95–108.
Harmel, R. D., Cooper, R. J., Slade, R. M., Haney, R. L., and Arnold, J. G. (2006). “Cumulative uncertainty in measured stream flow and water quality data for small watersheds.” Trans. ASABE, 49(3), 689–701.
Hawkins, R. H. (1978). “Runoff curve number with varying site moisture.” J. Irrig. Drain. Eng., 104(4), 389–398.
Itenfisu, D., Elliott, R. L., Allen, R. G., and Walter, I. A. (2003). “Comparison of reference evapotranspiration calculations as part of the ASCE standardization effort.” J. Irrig. Drain. Eng., 129(6), 440–448.
Jain, M. K., and Singh, V. P. (2005). “DEM based modeling of surface runoff using diffusion wave equation.” J. Hydrol., 302(1–4), 107–126.
Kannan, N., Santhi, C., Williams, J. R., and Arnold, J. G. (2008). “Development of a continuous soil moisture accounting procedure for curve number methodology and its behaviour with different evapotranspiration methods.” Hydrol. Processes, 22(13), 2114–2121.
Knisel, W. G. (1980). “CREAMS: A field scale model for chemical, runoff and erosion from agricultural management systems.”, U.S. Dept. of Agriculture, Washington, DC.
Krause, P., Boyle, D. P., and Base, F. (2005). “Comparison of different efficiency criteria for hydrological model assessment.” Adv. in Geosci., 5, 89–97.
Krysanova, V., Wechsung, F., and Arnold, J. G. (2000). SWIM user manual, Potsdam Institute for Climate Impact Research, Potsdam, Germany.
Levenberg, K. (1944). “A method for the solution of certain non-linear problems in least squares.” Q. Appl. Math., 2(2), 164–168.
Marquardt, D. W. (1963). “An algorithm for least-square estimation of nonlinear parameters.” J. Soc. Ind. Appl. Math., 11(2), 431–441.
McCuen, R. H. (2003). Modeling hydrologic change: Statistical methods, Lewis Publishers, CRC Press Company, Boca Raton, FL, ISBN 1-56 670-600-9.
McCuen, R. H., Knight, Z., and Cutter, A. G. (2006). “Evaluation of nash-sutcliffe efficiency indicator.” J. Hydrol. Eng., 11(6), 597–602.
Michel, C., Vazken, A., and Perrin, C. (2005). “Soil conservation service curve number method: how to mend a wrong soil moisture accounting procedure.” Water Resour. Res., 41(W02011), 1–6.
Mishra, S. K., Geetha, K., Rastogi, A. K., and Pandey, R. P. (2005). “Long-term hydrologic simulation using storage and source area concepts.” Hydrol. Processes, 19(14), 2845–2861.
Mishra, S. K., Goel, N. K., Seth, S. M., and Srivastava, D. K. (1998). “An SCS-CN based long term daily flow simulation model for a hilly catchment.” Int. Symp. of Hydrology of Ungauged Streams in Hilly Regions for Small Hydropower Development, Alternate Hydro Energy Centre (AHEC), Univ. of Roorkee, Roorkee, India, 59–81.
Mishra, S. K., Jain, M. K., and Singh, V. P. (2004). “Evaluation of the SCS-CN-based models incorporating antecedent moisture.” Water Resour. Manage., 18(6), 567–589.
Mishra, S. K., and Singh, V. P. (1999). “Another look at SCS-CN method.” J. Hydrol. Eng., 4(3), 257–264.
Mishra, S. K., and Singh, V. P. (2002). “SCS-CN-based hydrologic simulation package.” Chapter 13, Mathematical models in small watershed hydrology and applications, Singh, V. P., and Frevert, D. K., eds., Water Resources Publications, Littleton, CO, 80, 161, 391–464.
Mishra, S. K., and Singh, V. P. (2003). Soil conservation service curve number (SCS-CN) methodology, Kluwer, Dordrecht, The Netherlands.
Mishra, S. K., and Singh, V. P. (2004). “Long-term hydrological simulation based on the soil conservation service curve number.” Hydrol. Processes, 18(7), 1291–1313.
Mishra, S. K., Singh, V. P., Sansalone, J. J., and Aravamuthan, V. (2003). “A modified SCS-CN method: Characterization and testing,” Water Resour. Manage., 17(1), 37–68.
Motovilov, Y. G., Gottschalk, L., Engeland, K., and Rodhe, A. (1999). “Validation of distributed hydrological model against spatial observations.” Agric. For. Meteorol., 98(31), 257–277.
Nash, J. E. (1957). “The form of the instantaneous unit hydrograph.” Int. Assoc. Sci. Hydrol., 45(34), 114–121.
Nash, J. E., and Sutcliffe, J. V. (1970). “River flow forecasting through conceptual models. Part I. A discussion of principles.” J. Hydrol., 10(3), 282–290.
Pandit, A., and Gopalakrishnan, G. (1996). “Estimation of annual storm runoff coefficients by continuous simulation.” J. Irrig. Drain. Eng., 122(4), 211–220.
Ponce, V. M. (1989). Engineering hydrology: Principles and practices, Prentice Hall, Englewood Cliffs, NJ.
Putty, Y., and Prasad, R. (1994). “Stream flow generation in Western Ghats.” Proc., 6th National Symp. on Hydrology, Shillong, India, 189–194.
Putty, Y., and Prasad, R. (2000). “Understanding runoff processes using a watershed model—a case study in the western ghats in South India.” J. Hydrol., 228(3–4), 215–227.
Refsgaard, J. C., and Knudsen, J. (1996). “Operational validation and inter-comparison of different types of hydrological models.” Water Resour. Res., 32(7), 2189–2202.
Schroeder, P. R., Dozier, T. S., Zappi, P. A., McEnroe, B. M., Sjostrom, J. W., and Peyton, R. L. (1994). “The hydrologic evaluation of landfill performance (HELP) model: Engineering documentation for version 3.”, U.S. Environmental Protection Agency Office of Research and Development, Washington, DC.
Shirmohammadi, A., Yoon, K. S., Rawls, W. J., and Smith, O. H. (1997). “Evaluation of curve number procedures to predict runoff in GLEAMS.” J. Am. Water Resour. Assoc., 33(5), 1069–1076.
Singh, V. P. (1989). Hydrologic systems-watershed modeling, Vol. II, Prentice Hall, Englewood Cliffs, NJ.
Singh, V. P., Frevert, D. K., Rieker, J. D., Leverson, V., Meyer, S., and Meyer, S. (2006). “Hydrologic modeling inventory: Cooperative research effort.” J. Irrig. Drain. Eng., 132(2), 98–103.
Skaggs, R. W. (1980). “Methods for design and evaluation of drainage water management systems for soils with high water tables, DRAINMOD.” Rep., North Carolina State Univ., Raleigh, NC.
Smith, R. E., and Williams, J. R. (1980). “Simulation of surface water hydrology.” CREAMS: A field scale model for chemicals, Knisel, W. G. ed., Conservation Research Rep. No. 26, U.S. Dept. of Agriculture, Washington, DC.
Soil Conservation Service (SCS). (1971). “Hydrology.” Supplement A, Section 4, Chapter 10, National engineering handbook, Soil Conservation Service, USDA, Washington, DC.
U.S. Dept. of Agriculture (USDA). (1990). “EPIC-erosion productivity imapct calculator 1. Model documentation.”, U.S. Dept. of Agriculture, Washington, DC.
U.S. Dept. of Agriculture, Natural Resources Conservation Service (USDA-NRCS). (2004). “National engineering handbook Part 630—Hydrology.” Chapter 10, Estimation of direct surface runoff from storm rainfall, Washington, DC.
Vanclooster, M., Viaene, P., Christiaens, K., and Ducheyne, S. (1996). “WAVE, a mathematical model for simulating water and agrochemicals in the soil and the vadose environment.” Reference and user’s manual, release 2.1, Inst. Land Water Mgt., Katholieke Univ. Leuven, Leuven, Belgium.
Van Dam, J. C. et al. (1997). ‘‘SWAP version 2.0, theory and simulation of water flow, solute transport and plant growth in the soil-water atmosphere-plant environment.’’, Dept. of Water Resources, Wageningen Univ., Wageningen, The Netherlands.
Yuan, Y., Mitchell, J. K., Hirschi, M. C., and Cooke, R. A. C. (2001). “Modified SCS curve number method for predicting sub-surface drainage flow.” Trans. ASAE, 44(6),1673–1682.
Williams, J. R., and LaSeur, V. (1976). “Water yield model using SCS curve numbers.” J. Hydraul. Eng., 102(HY9), 1241–1253.
World Meteorological Organization (WMO). (1975). “Intercomparison of conceptual models used in operational hydrological forecasting.”, WMO, Geneva.
World Meteorological Organization (WMO). (1992). “Simulated real-time intercomparison of hydrological models.”, WMO, Geneva.

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Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 17Issue 11November 2012
Pages: 1204 - 1220

History

Received: Sep 23, 2010
Accepted: Jan 13, 2012
Published online: Jan 16, 2012
Published in print: Nov 1, 2012

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Manoj K. Jain [email protected]
Dept. of Hydrology, Indian Institute of Technology Roorkee, Roorkee, India (corresponding author). E-mail: [email protected]
Dilip G. Durbude [email protected]
Central Soil & Water Conservation Research and Training Institute, Datia, (M.P.), India; formerly, Environmental Hydrology Division, National Institute of Hydrology, Roorkee, India. E-mail: [email protected]
Surendra K. Mishra [email protected]
Dept. of Water Resources Development and Management, Indian Institute of Technology Roorkee, Roorkee, India. E-mail: [email protected]

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