Storm Event and Continuous Hydrologic Modeling for Comprehensive and Efficient Watershed Simulations
Publication: Journal of Hydrologic Engineering
Volume 12, Issue 6
Abstract
Based on recent reviews of 11 physically based watershed models, the long-term continuous model soil and water assessment tool (SWAT) and the storm event dynamic watershed simulation model (DWSM) were selected to examine their hydrologic formulations, calibrate, and validate them on the watershed of the upper Little Wabash River at Effingham, Ill., and examine their compatibility and benefits of combining them into a more comprehensive and efficient model. Calibration and validation of the SWAT by comparing monthly simulated and observed flows and adjusting the model-assigned resulted in coefficients of determination and Nash–Sutcliffe coefficients for individual years and cumulatively for the calibration period (1995–1999) and for the entire simulation period (1995–2002) mostly above or near 0.50 with an exception of 0.05 and , respectively, in 2001, relatively a dry year. Visual comparisons of the hydrographs showed SWAT’s weakness in predicting monthly peak flows (mostly underpredictions.) Therefore, SWAT needs enhancements in storm event simulations for improving its high and peak flow predictions. Calibration of DWSM was not necessary; its three physically based parameters were taken from SWAT. Validation of DWSM on three intense storms in May 1995, March 1995, and May 2002 resulted 1, , and 16% errors in peak flows and 0, , and 0% errors in times to peak flows, respectively. Comparisons of DWSM’s 15-min flow hydrographs with SWAT’s daily flow hydrographs along with the 15-min and daily observed flow hydrographs during the above three storms confirmed that DWSM predicted more accurate high and peak flows and precise arrival times than SWAT. DWSM’s robust routing scheme using analytical and approximate shock-fitting solutions of the kinematic wave equations was responsible for the better predictions, the addition of which along with its unique combination with the popular runoff curve number method for rainfall excess computation to SWAT would be a significant enhancement. Parameters and data of both the models are interchangeable and, therefore, are compatible and their combination will result in a more comprehensive and efficient model.
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Acknowledgments
This paper is based on research supported by the Midwest Technology Assistance Cent (MTAC) and the Illinois State Water Survey (ISWS). Any opinions, findings, and conclusions recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of ASCE, MTAC, or ISWS. Mention of products or commercial services does not reflect endorsement by the authors, ASCE, MTAC, or ISWS.
References
Arnold, J. G., Srinivasan, R., Muttiah, R. S., and Williams, J. R. (1998). “Large area hydrologic modeling and assessment. I: Model development.” J. Am. Water Resour. Assoc., 34(1), 73–89.
Barker, B., Carlisle, J. B., and Nyberg, R. (1967). Little Wabash River Basin study: A comprehensive plan for water resource development, Illinois Development of Public Works and Buildings, Division of Waterways, Springfield, Ill.
Beasley, D. B., Huggins, L. F., and Monke, E. J. (1980). “ANSWERS: A model for watershed planning.” Trans. ASAE, 23(4), 938–944.
Bicknell, B. R., Imhoff, J. C., Kittle, Jr., J. L., Donigian, Jr., A. S., and Johanson, R. C. (1993). “Hydrologic Simulation Program—FORTRAN (HSPF): User’s manual for Release 10.” Rep. No. EPA/600/R-93/174. U.S. EPA Environmental Research Lab, Athens, Ga.
Borah, D. K. (1989). “Runoff simulation model for small watersheds.” Trans. ASAE, 32(3), 881–886.
Borah, D. K., and Bera, M. (2003). “Watershed-scale hydrologic and nonpoint-source pollution models: Review of mathematical Bases.” Trans. ASAE, 46(6), 1553–1566.
Borah, D. K., and Bera, M. (2004). “Watershed scale hydrologic and nonpoint source pollution models: Review of applications.” Trans. ASAE, 47(3), 789–803.
Borah, D. K., Bera, M., and Xia, R. (2004). “Storm event flow and sediment simulations in agricultural watersheds using DWSM.” Trans. ASAE, 47(5), 1539–1559.
Borah, D. K., Krug, E. C., Bera, M., and Liang, X.-Z. (2006a). “Watershed modeling to evaluate water quality at intakes of small drinking water systems.” Draft Contract Rep. Submitted to Midwest Technology Assistance Center, Illinois State Water Survey, Champaign, Ill.
Borah, D. K., Prasad, S. N., and Alonso, C. V. (1980). “Kinematic wave routing incorporating shock fitting.” Water Resour. Res., 16(3), 529–541.
Borah, D. K., Xia, R., and Bera, M. (2002). “Chapter 5: DWSM—A dynamic watershed simulation model.” Mathematical models of small watershed hydrology and applications, V. P. Singh and D. K. Frevert, eds., Water Resources Publications, Highlands Ranch, Colo., 113–166.
Borah, D. K., Yagow, G., Saleh, A., Barns, P. L., Rosenthal, W., Krug, E. C., and Hauck, L. M. (2006b). “Sediment and nutrient modeling for TMDL development and implementation.” Trans. ASABE, 49(4), 967–986.
Bouraoui, F., Braud, I., and Dillaha, T. A. (2002). “Chapter 22: ANSWERS: A nonpoint source pollution model for water, sediment and nutrient losses.” Mathematical models of small watershed hydrology and applications, V. P. Singh and D. K. Frevert, eds., Water Resources Publications, Highlands Ranch, Colo., 833–882.
DiLuzio, M., Srinivasan, R., and Arnold, J. G. (2002). “Integration of watershed tools and SWAT model into BASINS.” J. Am. Water Resour. Assoc., 38(4), 1127–1141.
Goolsby, D. A., Battaglin, W. A., Lawrence, G. B., Artz, R. S., Aulenbach, B. T., Hooper, R. P., Keeney, D. R., and Stensland, G. J. (1999). “Flux and sources of nutrients in the Mississippi-Atchafalaya River Basin.” Task Group 3 Rep. Gulf of Mexico Hypoxia Assessment, White House Committee on Environment and Natural Resources, Washington, D.C.
Hargreaves, G. H., and Samani, Z. A. (1985). “Reference crop evapotranspiration from temperature.” Appl. Eng. Agric., 1, 96–99.
Illinois Department of Natural Resources (IDNR). (2001). Critical Trends in Illinois Ecosystems, Annual Report, Critical Trend Assessment Program, Springfield, Ill.
Illinois Environmental Protection Agency (IEPA). (2004). “Illinois 2004 Section 303(d) list.” IEPA/BOW/04-005, Bureau of Water, Springfield, Ill., ⟨http://www.epa.state.il.us/water/tmdl/303d-list.html⟩, (December 20, 2005).
Leavesley, G. H., Lichty, R. W., Troutman, B. M., and Saindon, L. G. (1983). “Precipitation-runoff modeling system—User’s manual.” U.S. Geological Survey Water Resources Investigative Rep. No. 83-4238, U.S. Geological Survey, Washington, D.C.
Lighthill, M. J., and Whitham, C. B. (1955). “On kinematic waves. I: Flood movement in long rivers.” Proc. R. Soc. London, Ser. A, 229, 281–316.
Linsley, R. K., Kohler, M. A., and Paulhus, J. L. H. (1958). Hydrology for engineers, McGraw-Hill, New York.
Monteith, J. L. (1965). “Climate and the efficiency of crop production in Britain.” Philos. Trans. R. Soc. London, Ser. B, 281, 277–329.
Nash, J. E., and Sutcliffe, J. V. (1970). “River flow forecasting through conceptual models. I: A discussion of principles.” J. Hydrol., 10(3), 282–290.
National Climate Data Center (NCDC). (2005). “NOAA satellite and information service: National environmental satellite, data, and information service (NESDIS).” U.S. Dept. of Commerce, Washington, D.C. ⟨http://www.ncdc.noaa.gov/oa/ncdc.html⟩, (December 1, 2005).
Neitsch, S. L., Arnold, J. G., Kiniry, J. R., Srinivasan, R., and Williams, J. R. (2002). “Soil and water assessment tool user’s manual Version 2000.” GSWRL Rep. No. 02-02, BRC Rep. No. 02-06, TR-192, Texas Water Resources Institute, College Station, Tex.
Ogden, F. L., and Julien, P. Y. (2002). “Chapter 4: CASC2D—A two-dimensional, physically-based, hortonian hydrologic model.” Mathematical models of small watershed hydrology and applications, V. P. Singh and D. K. Frevert, eds., Water Resources Publications, Highlands Ranch, Colo., 69–112.
Perrin, C., Michel, C., and Andréassian, V. (2001). “Does a large number parameters enhance model performance? Comparative assessment of common catchment model structures on 429 catchments.” J. Hydrol., 242, 275–301.
Priestley, C. H. B., and Taylor, R. J. (1972). “On the assessment of surface heat flux and evaporation using large-scale parameters.” Mon. Weather Rev., 100, 81–92.
Refsgaard, J. C., and Storm, B. (1995). “Chapter 23: MIKE SHE.” Computer models of watershed hydrology, V. P. Singh, ed., Water Resources Publications, Highlands Ranch, Colo., 809–846.
Saleh, A., and Du, B. (2004). “Evaluation of SWAT and HSPF within BASINS program for the Upper North Bosque River watershed in Central Texas.” Trans. ASAE, 47(4), 1039–1049.
Senarath, S. U. S., Ogden, F. L., Downer, C. W., and Sharif, H. O. (2000). “On the calibration and verification of two-dimensional, distributed, Hortonian, continuous watershed models.” Water Resour. Res., 36(6), 1495–1510.
Singh, V. P., ed. (1995). Computer models of watershed hydrology, Water Resources Publications, Highlands Ranch, Colo.
Singh, V. P., and Frevert, D. K., eds. (2002a). Mathematical models of large watershed hydrology, Water Resources Publications, Highlands Ranch, Colo.
Singh, V. P., and Frevert, D. K., eds. (2002b). Mathematical models of small watershed hydrology and applications, Water Resources Publications, Highlands Ranch, Colo.
Singh, V. P., and Frevert, D. K., eds. (2006). Watershed models, CRC Taylor and Francis, Boca Raton, Fla.
Sloan, P. G., Moore, I. D., Coltharp, G. B., and Eigel, J. D. (1983). “Modeling surface and subsurface stormflow on steeply-sloping forested watersheds.” Water Resources Institute Rep. No. 142, Univ. of Kentucky, Lexington, Ky.
State Water Survey Staff. (1948). “Water resources of Southern Illinois.” Rep. to Joint Committee on Southern Illinois, Univ. of Illinois, Urbana-Champaign, Ill.
U.S. Army Corps of Engineers. (1979) “Final environmental impact statement: Louisville Lake, Little Wabash River Basin, Illinois.” Louisville District, Louisville, Ky.
USDA Soil Conservation Service (SCS). (1972). “Section 4: Hydrology.” National engineering handbook, Washington, D.C.
USDA Soil Conservation Service (SCS). (1986). “Urban hydrology for small watersheds.” Technical Release 55, Washington, D.C.
USEPA. (2001). “Better assessment science integrating point and nonpoint sources: BASINS Version 3.0 user’s manual.” EPA-823-B-01-001, Office of Water, Washington, D.C. ⟨http://www.epa.gov/waterscience/basins/b3webdwn.htm⟩, (August 6, 2006).
USEPA. (2007). “Better assessment science integrating point and nonpoint sources.” Washington, D.C, ⟨http://www.epa.gov/OST/BASINS⟩, (July 30, 2007).
USGS. (2005). “USGS suface-water data for Illinois.” Dept. of the Interior, Reston, Va., ⟨http://waterdata.usgs.gov/il/nwis/sw⟩, (December 20, 2005).
USGS, and Illinois Environmental Protection Agency (IEPA). (2003). “Source water assessment program for Illinois.” ⟨http://il.water.usgs.gov/factsheets/⟩, (July 13, 2004).
Van Liew, M. W., Arnold, J. G., and Garbrecht, J. D. (2003). “Hydrologic simulation on agricultural watersheds: Choosing between two models.” Trans. ASAE, 46(6), 1539–1551.
Williams, J. R. (1969). “Flood routing with variable travel time or variable storage coefficients.” Trans. ASAE, 12(1), 100–103.
Woolhiser, D. A., Smith, R. E., and Goodrich, D. C. (1990). “KINEROS, A kinematic runoff and erosion model: Documentation and user manual.” ARS-77, U.S. Department of Agriculture, Agricultural Research Service, Fort Collins, Colo.
Young, R. A., Onstad, C. A., Bosch, D. D., and Anderson, W. P. (1987). “AGNPS, Agricultural nonpoint-source pollution model: A watershed analytical tool.” Conservation Research Rep. No. 35, U.S. Department of Agriculture, Washington, D.C.
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Published In
Journal of Hydrologic Engineering
Volume 12 • Issue 6 • November 2007
Pages: 605 - 616
Copyright
© 2007 ASCE.
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Received: Jan 24, 2006
Accepted: Nov 27, 2006
Published online: Nov 1, 2007
Published in print: Nov 2007
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