Simulation of an agricultural watershed using an improved curve number method in swat

Transactions of the ASABE

Volumn 51, Issue 4, 2008, Pages 1323-1339

  Wang, Xixi ^a   Shang, S ^b   Yang, W ^c   Melesse, A M ^d  

^a TARLETON STATE UNIVERSITY   (United States)

^b INNER MONGOLIA AGRICULTURAL UNIVERSITY   (China)

^c UNIVERSITY OF GUELPH   (Canada)

^d FLORIDA INTERNATIONAL UNIVERSITY   (United States)

Author keywords

Hydrologic modeling; Infiltration excess; Precipitation; Runoff; Saturation excess

Indexed keywords

ACCURATE; ACCURATE PREDICTIONS; AGRICULTURAL WATERSHEDS; ANTECEDENT MOISTURES; APPLICATIONS.; BASEFLOW; CONTINUOUS PRECIPITATIONS; CONTINUOUS SIMULATION MODELS; CURVE NUMBERS; DIRECT FLOWS; HYDROLOGIC MODELING; IMPLEMENTING; INFILTRATION EXCESS; NORTH DAKOTA; PEAK DISCHARGES; PRECIPITATION; QUALITY PREDICTIONS; RIVER WATERSHEDS; SATURATION EXCESS; SOIL AND WATER ASSESSMENT TOOLS; SOIL CONSERVATION SERVICES; SOURCE AREAS; STORM EVENTS; STUDY AREAS; SWAT MODELS; WATER FLOWS; WATER YIELDS;

EARTH SCIENCES; FORECASTING; HYDRAULIC MODELS; INFILTRATION; LANDFORMS; OFFSHORE OIL WELL PRODUCTION; RIVERS; RUNOFF; SOIL CONSERVATION; SOIL MECHANICS; SOILS; STREAM FLOW; THEOREM PROVING; WATER; WATER QUALITY; WATERSHEDS;

GEOLOGIC MODELS;

HYDROLOGICAL MODELING; INFILTRATION; PEAK DISCHARGE; RAINFALL-RUNOFF MODELING; WATER FLOW; WATER QUALITY; WATERSHED;

FOREST RIVER; NORTH AMERICA; NORTH DAKOTA; UNITED STATES;

EID: 54949106612     PISSN: 21510032     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (82)

1. Arnold, J. G., and P. M. Allen. 1999. Automated methods for estimating baseflow and groundwater recharge from streamflow records. J. American Water Resources Assoc. 35(2): 411-424.
2. Arnold, J. G., and N. Fohrer. 2005. SWAT2000: Current capabilities and research opportunities in applied watershed modelling. Hydrol. Processes 19(3): 563-572.
3. Arnold, J. G., P. M. Allen, R. Muttiah, and G. Bernhardt. 1995. Automated baseflow separation and recession analysis techniques. Ground Water 33(6): 1010-1018.
4. Arnold, J. G., R. Srinivasan, R. S. Muttiah, and J. R. Williams. 1998. Large-area hydrologic modeling and assessment: Part I. Model development. J. American Water Resources Assoc. 34(1): 73-89.
5. Arnold, J. G., R. S. Muttiah, R. Srinivasan, and P. M. Allen. 2000. Regional estimation of base flow and groundwater recharge in the upper Mississippi river basin. J. Hydrol. 227(1-4): 21-40.
6. Barnes, G. E. 2000. Soil Mechanics: Principles and Practice. 2nd ed. London, U.K.: Macmill Press.
7. Bhuyan, S. J., K. R. Mankin, and J. K. Koelliker. 2003. Watershed-scale AMC selection for hydrologic modeling. Trans. ASAE 46(2): 303-310.
8. Bracmort, K. S., M. Arabi, J. R. Frankenberger, B. A. Engel, and J. G. Arnold. 2006. Modeling long-term water quality impact of structural BMPs. Trans. ASABE 49(2): 367-374.
9. Bryant, R. B., W. J. Gburek, T. L. Veith, and W. D. Hively. 2006. Perspectives on the potential for hydropedology to improve watershed modeling of phosphorus loss. Geoderma 131(3-4): 299-307.
10. Cronshey, R. G. 1983. Discussion of "Antecedent moisture condition probabilities," by D. D. Gray and S. M. deMonsabert. J. Irrig. Drain. Eng. 109(2): 296-298.
11. Doherty, J., and J. M. Johnston. 2003. Methodologies for calibration and predictive analysis of a watershed model. J. American Water Resources Assoc. 39(2): 251-265.
12. Downer, C. W., and F. L. Ogden. 2004. Appropriate vertical discretization of Richard's equation for two-dimensional watershed-scale modelling. Hydrol. Processes 18(1): 1-22.
13. Dunne, T. 1970. Runoff production in humid areas. Publication ARS-41-160. Washington, D.C.: USDA.
14. Easton, Z. M., D. R. Fuka, M. T. Walter, D. M. Cowan, E. M. Schneiderman, and T. S. Steenhuis. 2007. Re-conceptualizing the soil and water assessment tool (SWAT) model to predict runoff from variable source areas. J. Hydrol. 348: 279-291.
15. Garen, D. C., and D. S. Moore. 2005. Curve number hydrology in water quality modeling: Uses, abuses, and future directions. J. American Water Resources Assoc. 41(2): 377-388.
16. Gassman, P. W., M. R. Reyes, C. H. Green, and J. G. Arnold. 2007. The soil and water assessment tool: Historical development, applications, and future research directions. Trans. ASABE 50(4): 1211-1250.
17. Gebert, W. A., M. J. Radloff, E. J. Considine, and J. L. Kennedy. 2007. Use of streamflow data to estimate base flow/ground-water recharge for Wisconsin. J. American Water Resources Assoc. 43(1): 220-236.
18. Gray, D. D., P. G. Katz, S. M. deMonsabert, and N. P. Cogo. 1982. Antecedent moisture condition probabilities. J. Irrig. Drain. Div. 108(2): 107-114.
19. Green, W. H., and G. A. Ampt. 1911. Studies on soil physics: 1. The flow of air and water through soils. J. Agric. Sci. 4: 11-24.
20. Harbor, J. 1994. A practical method for estimating the impact of land-use change on surface runoff, groundwater recharge, and wetland hydrology. J. American Planning Assoc. 60: 91-104.
21. Hjelmfelt, A. T. 1980a. Curve-number procedure as infiltration method. J. Hydraulics Div. 106(6): 1107-1111.
22. Hjelmfelt, A. T. 1980b. Empirical investigation of curve number technique. J. Hydraulics Div. 106(9): 1471-1476.
23. Hjelmfelt, A. T. 1987. Curve numbers in urban hydrology. In Proc. XXII Congress Intl. Assoc. for Hydraulic Research. Lausanne, Switzerland: International Association for Hydraulic Research (IAHR).
24. Hjelmfelt, A. T. 1991. Investigation of curve number procedure. J. Hydraulic Eng. 117(6): 725-737.
25. Hjelmfelt, A. T., K. L. Kramer, and R. E. Burwell. 1982. Curve Numbers as Random Variables: Rainfall-Runoff Relationship. Littleton, Colo.: Water Resources Publications.
26. Horton, R. E. 1940. An approach toward physical interpretation of infiltration capacity. SSSA Proc. 5: 399-417.
27. a-S relation. J. Hydrol. Eng. 11(6): 631-635.
28. Jha, M. K., P. W. Gassman, and J. G. Arnold. 2007. Water quality modeling for the Raccoon River watershed using SWAT. Trans. ASABE 50(2): 479-493.
29. Juracek, K. E. 2005. Estimation of potential runoff-contributing areas. Lawrence, Kans.: USGS Kansas Water Science Center. Available at: ks.water.usgs.gov/Kansas/pubs/reports/juracek.fisc.html. Accessed 23 September 2007.
30. Kannan, N., S. M. White, F. Worrall, and M. J. Whelan. 2007. Sensitivity analysis and identification of the best evapotranspiration and runoff options for hydrological modeling in SWAT-2000. J. Hydrol. 332(3-4): 456-466.
31. Kannan, N., C. Santhi, J. R. Williams, and J. G. Arnold. 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.
32. King, K. W., J. G. Arnold, and R. L. Bingner. 1999. Comparison of Green-Ampt and curve number methods on Goodwin Creek watershed using SWAT. Trans. ASAE 42(4): 919-925.
33. Kirkby, M. J. 1975. Hydrograph modelling strategies. In Process in Physical and Human Geography, 69-90. R. Peel, M. Chisholm, and P. Haggett, eds. London, U.K.: Heinemann Educational.
34. Lim, K. J., B. A. Engel, S. Muthukrishnan, and J. Harbor. 2006. Effects of initial abstraction and urbanization on estimated runoff using CN technology. J. American Water Resources Assoc. 42(3): 629-643.
35. Lyon, S. W., M. T. Walter, P. Gérard-Marchant, and T. S. Steenhuis. 2004. Using a topographic index to distribute variable source area runoff predicted with the SCS curve-number equation. Hydrol. Processes 18(15): 2757-2771.
36. Lyon, S. W., M. R. McHale, M. T. Walter, and T. S. Steenhuis. 2006. The impact of runoff generation mechanisms on the location of critical source areas. J. American Water Resources Assoc. 42(3): 793-804.
37. Mau, D. P., and T. C. Winter. 1997. Estimating groundwater recharge from streamflow hydrographs for a small mountain watershed in temperature humid climate, New Hampshire, USA. Ground Water 35(2): 291-304.
38. Mishra, S. K., and V. P. Singh. 1999. Another look at SCS-CN method. J. Hydrol. Eng. 4(3): 257-264.
39. Mishra, S. K., and V. P. Singh. 2003. Soil Conservation Service Curve Number (SCS-CN) Methodology. Dordrecht, The Netherlands: Kluwer Academic.
40. Mishra, S. K., and V. P. Singh. 2006. A relook at NEH-4 curve number data and antecedent moisture condition criteria. Hydrol. Processes 20(13): 2755-2768.
41. Mockus, V. 1949. Estimation of total (and peak rates of) surface runoff for individual storms. Exhibit A of Appendix B, Interim Survey Report, Grand (Neosho) River watershed. Washington, D.C.: USDA Soil Conservation Service.
42. Moriasi, D. N., J. G. Arnold, M. W. Van Liew, R. L. Bingner, R. D. Harmel, and T. Veith. 2007. Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Trans. ASABE 50(3): 885-900.
43. Motovilov, Y. G., L. Gottschalk, K. England, and A. Rodhe. 1999. Validation of a distributed hydrological model against spatial observations. Agric. and Forest Meteorol. 98-99: 257-277.
44. Mueller, R., and M. Ozga. 2001. Creating a cropland data layer for an entire state. Washington, D.C.: USDA National Agricultural Statistics Service. Available at: www.nass.usda.gov/research/reports/02_01_CreateCDL_State_RWM.pdf. Accessed 23 September 2007.
45. Nash, J. E., and J. V. Sutcliffe. 1970. River flow forecasting through conceptual models: Part I. A discussion of principles. J. Hydrol. 10(3): 282-290.
46. Nathan, R. J., and A. T. McMahon. 1990. Evaluation of automated techniques for baseflow and recession analysis. Water Resources Res. 26(7): 1465-1473.
47. NCDC. 2008. NOAA Satellite and Information Service: National Environmental Satellite, Data, and Information Service (NESDIS). Silver Spring, Md.: NESDIS. Available at: www.ncdc.noaa.gov/oa/ncdc.html. Accessed 6 January 2008.
48. Neitsch, S. L., J. G. Arnold, J. R. Kiniry, J. R. Srinivasan, and J. R. Williams. 2002a. Soil and Water Assessment Tool - User's Manual, Version 2000. Temple, Tex.: USDA-ARS Grassland, Soil and Water Research Laboratory, Blackland Research Center, Texas Agricultural Experiment Station.
49. Neitsch, S. L., J. G. Arnold, J. R. Kiniry, J. R. Williams, and K. W. King. 2002b. Soil and Water Assessment Tool - Theoretical Documentation, Version 2000. Temple, Tex.: USDA-ARS Grassland, Soil and Water Research Laboratory, Blackland Research Center, Texas Agricultural Experiment Station.
50. Neitsch, S. L., J. G. Arnold, J. R. Kiniry, R. Srinivasan, and J. R. Williams. 2004. Soil and Water Assessment Tool Input/Output File Documentation, Version 2005. Temple, Tex.: USDA-ARS Grassland, Soil and Water Research Laboratory, Blackland Research Center, Texas Agricultural Experiment Station. Available at ftp//ftp.brc.tamus.edu/pub/outgoing/sammons/ swat2005. Accessed 23 September 2007.
51. Neter, J., M. H. Kutner, C. J. Nachtsheim, and W. Wasserman. 1996. Applied Linear Statistical Models. 4th ed. New York, N.Y.: McGraw-Hill.
52. Pachhai, S. 2005. Comparison between 1-m LiDAR and 30-m NED digital elevation models for temporary floodwater storage estimations in the Red River of the North Basin. MS thesis. Grand Forks, N.D.: University of North Dakota, Department of Geography.
53. Page, T., P. M. Haygarth, K. J. Beven, A. Joynes, T. Butler, C. Keeler, J. Freer, P. N. Owens, and G. A. Wood. 2005. Spatial variability of soil phosphorus in relation to the topographic index and critical source areas: Sampling for assessing risk to water quality. J. Environ. Qual. 34(6): 2263-2277.
54. Peel, M. D. 1998. Crop rotations for increased productivity. Fargo, N.D.: North Dakota State University Extension Service. Available at: www.ag.ndsu.edu/pubs/plantsci/crops/eb48-1.htm. Accessed 2 June 2008.
55. Ponce, V. M., and R. H. Hawkins. 1996. Runoff curve number: Has it reached maturity? J. Hydrol. Eng. 1(1): 11-19.
56. Rawls, W. J., and D. L. Brakensiek. 1986. Comparison between Green-Ampt and curve number runoff predictions. Trans. ASAE 29(6): 1597-1599.
57. Rutledge, A. T. 1993. Computer programs for describing the recession of groundwater discharge and for estimating mean groundwater recharge and discharge from streamflow records. Water Resources Investigations Report 93-4121. Reston, Va.: U.S. Geological Survey.
58. Rutledge, A. T., and C. C. Daniel. 1994. Testing an automated method to estimate groundwater recharge from streamflow records. Ground Water 32(2): 180-189.
59. Sanborn. 2008. Sanborn: Total geospatial solutions. Colorado Springs, Colo.: Sanborn Map Company, Inc. Available at: www.sanborn.com. Accessed 6 January 2008.
60. Silveira, L., F. Charbonnier, and J. L. Genta. 2000. The antecedent soil moisture condition of the curve number procedure. J. Hydrol. Sci. 45(1): 3-12.
61. Slack, J. R., A. M. Lumb, and J. M. Landwhr. 1993. HCDN: Streamflow data set, 1874-1988. Water-Resources Investigation Report 93-4076. Reston, Va.: U.S. Geological Survey.
62. Sørensen, R., U. Zinko, and J. Seibert. 2006. On the calculation of the topographic wetness index: Evaluation of different methods based on field observations. Hydrol. and Earth System Sci. 10(1): 101-112.
63. Srinivasan, R., T. S. Ramanarayanan, J. G. Arnold, and S. T. Bednarz. 1998. Large-area hydrologic modeling and assessment: Part II. Model application. J. American Water Res. Assoc. 34(1): 91-101.
64. Stoner, J. D., D. L. Lorenz, G. J. Wiche, and R. M. Goldstein. 1993. Red River of the North Basin, Minnesota, North Dakota, and South Dakota. Water Resources Bulletin 29(4): 575-615.
65. USDA-NASS. 2008. Crops and plants. Available at: www.nass.usda.gov. Washington, D.C.: USDA National Agricultural Statistics Service. Accessed 6 January 2008.
66. USDA-NRCS. 2004. National Engineering Handbook. Washington, D.C.: USDA Natural Resources Conservation Service.
67. USDA-NRCS. 2008. Soil survey geographic (SSURGO) database. Washington, D.C.: USDA Natural Resources Conservation Service. Available at: www.ncgc.nrcs.usda.gov/products/ datasets/ssurgo. Accessed 6 January 2008.
68. USGS. 2001a. National elevation dataset (NED). USGS Open Report. Reston, Va.: U.S. Geological Survey.
69. USGS. 2001b. National hydrography dataset (NHD). USGS Open Report. Reston, Va.: U.S. Geological Survey.
70. USGS. 2008. National elevation dataset (NED) and national hydrography dataset (NHD). Reston, Va.: U.S. Geological Survey. Available at: edc.usgs.gov/geodata. Accessed 6 January 2008.
71. Van Liew, M. W., and J. Garbrecht. 2003. Hydrologic simulation of the Little Washita River experimental watershed using SWAT. J. American Water Resources Assoc. 39(2): 413-426.
72. Van Liew, M. W., T. L. Veith, D. D. Bosch, and J. G. Arnold. 2007. Suitability of SWAT for the conservation effects assessment project: Comparison on USDA agricultural research service watersheds. J. Hydrol. Eng. 12(2): 173-189.
73. Van Mullem, J. 1992. Soil moisture and runoff: Another look. In Proc. Irrig. and Drain. Sessions at Water Forum '92, 366-371. E. T. Engman, ed. Reston, Va.: ASCE.
74. Walter, M. T., and S. B. Shaw. 2005. Discussion of "Curve number hydrology in water quality modeling: Uses, abuses, and future directions," by David C. Garen and Daniel S. Moore. J. American Water Resources Assoc. 41(6): 1491-1492.
75. Walter, M. T., M. F. Walter, E. S. Brooks, T. S. Steenhuis, J. Boll, and K. Weiler. 2000. Hydrologically sensitive areas: Variable source area hydrology implications for water quality risk assessment. J. Soil and Water Cons. 55(3): 277-284.
76. Wang, X., and A. M. Melesse, 2005. Evaluation of the SWAT model's snowmelt hydrology in a northwestern Minnesota watershed. Trans. ASAE 48(4): 1359-1376.
77. Wang, X., and A. M. Melesse. 2006. Effects of STATSGO and SSURGO as inputs on SWAT model's snowmelt simulation. J. American Water Resources Assoc. 42(5): 1217-1236.
78. Wang, X., A. M. Melesse, and W. Yang. 2006. Influences of potential evapotranspiration estimation methods on SWAT's hydrologic simulation in a northwestern Minnesota watershed. Trans. ASABE 49(6): 1755-1771.
79. White, K., and R. A. Slotto. 1990. Base flow frequency characteristics of selected Pennsylvania streams. Water-Resources Investigation Report 90-4160. Reston, Va.: U.S. Geological Survey.
80. Wolock, D. M., and G. J. McCabe. 1995. Comparison of single and multiple flow-direction algorithms for computing topographic parameters in TOPMODEL. Water Resources Res. 31(5): 1315-1324.
81. Woodward, D. E., R. H. Hawkins, R. Jiang, A. T. Hjelmfelt, J. A. Van Mullem, and Q. D. Quan. 2000. Runoff curve number method: Origins, applications, and limitations. Washington, D.C.: USDA Natural Resources Conservation Service. Available at: ftp://ftp.wcc.nrcs.usda.gov/support/water/hydrology/Woodward.doc. Accessed 23 September 2007.
82. Woodward, D. E., R. H. Hawkins, R. Jiang, A. T. Hjelmfelt, J. A. Van Mullem, and Q. D. Quan. 2003. Runoff curve number method: Examination of the initial abstraction ratio. In Proc. World Water and Environ. Resources Congress 2003 and Related Symposia. P. Bizier and P. DeBarry, eds. Reston, Va.: ASCE/EWRI.