TECHNICAL PAPERS
Feb 12, 2009

Application of HSPF to the Distributed Model Intercomparison Project: Case Study

Publication: Journal of Hydrologic Engineering
Volume 14, Issue 8

Abstract

The Hydrologic Simulation Program–Fortran (HSPF) model was used to simulate streamflow for the Distributed Model Intercomparison Project (DMIP). This research describes how to integrate a next generation radar, NEXRAD data set into HSPF model and how to generate hydrologic runoff associated with the inputs of the spatial rainfalls, and discusses the challenges of HSPF during automatic calibration processes. The model performance of simulated streamflows with calibration and without calibration was also evaluated to assess the sensitivity of final estimated parameters through calibration procedures to initial parameters derived from physical watershed configuration. An automatic calibration scheme was adopted to optimize objectives that the writer specified in terms of statistical measures. Parameter estimation, a model-independent parameter estimator, was used as an automatic calibration tool in the hydrologic calibration of HSPF. Overall, the calibrated simulations outperformed the uncalibrated simulations for DMIP basins, and the writer anticipates that HSPF may be a potential alternative model to reproduce the hourly flows for streamflow forecasts.

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Acknowledgments

The writer thanks five anonymous reviewers for insightful comments and suggestions, which helped improve the quality of the manuscript substantially.

References

Al-Abed, N. A., and Whiteley, H. R. (2002). “Calibration of the hydrological simulation program Fortran (HSPF) model using automatic calibration and geographical information systems.” Hydrolog. Process., 16(16), 3169–3188.
Anderson, J. R., Hardy, E. E., Roach, J. T., and Witmer, R. E. (1976). “A land use and land cover classification system for use with remote sensor data.” Geological Survey Professional Paper 964, U.S. Geological Survey, U.S. Dept. of the Interior, Reston, Va.
Austin, P. M. (1987). “Relation between measured radar reflectivity and surface rainfall.” Mon. Weather Rev., 115(5), 1053–1070.
Bell, V. A., and Moore, R. J. (1998). “A grid-based distributed flood forecasting model for use with weather radar data. Part 2: Case studies.” Hydrology Earth Syst. Sci., 2(3), 283–298.
Boyle, D. P., Gupta, H. V., and Sorooshian, S. (2000). “Toward improved calibration of hydrologic models: Combining the strengths of manual and automatic methods.” Water Resour. Res., 36(12), 3663–3674.
Boyle, D. P., Gupta, H. V., and Sorooshian, S. (2001). “Toward improved streamflow forecasts: Value of semidistributed modeling.” Water Resour. Res., 37(11), 2749–2759.
Carpenter, T. M., and Georgakakos, K. P. (2004). “Impacts of parametric and radar rainfall uncertainty on the ensemble streamflow simulations of a distributed hydrologic model.” J. Hydrol., 298(1–4), 202–221.
Chen, C. W. (2003). “Discussion of ‘Methodologies for calibration and predictive analysis of a watershed model’ by John Doherty and John M. Johnston.” J. Am. Water Resour. Assoc., 39(6), 1561–1562.
Doherty, J., and Johnston, J. M. (2003). “Methodologies for calibration and predictive analysis of a watershed model.” J. Am. Water Resour. Assoc., 39(2), 251–265.
Doherty, J., and Skahill, B. E. (2006). “An advanced regularization methodology for use in watershed model calibration.” J. Hydrol., 327, 564–577.
Ek, M. B., et al. (2003). “Implementation of Noah land surface model advances in the National Centers for Environmental Prediction operational mesoscale eta model.” J. Geophys. Res., 108(D22), 8851.
Fontaine, T. A., and Jacomino, V. M. F. (1997). “Sensitivity analysis of simulated contaminated sediment transport.” J. Am. Water Resour. Assoc., 33(2), 313–326.
Fulton, R. A., Breidenbach, J. P., Seo, D.-J., and Miller, D. A. (1998). “The WSR-88d rainfall algorithm.” Weather Forecast., 13(2), 377–395.
Gan, T. Y., and Burges, S. J. (2006). “Assessment of soil-based and calibrated parameters of the Sacramento model and parameter transferability.” J. Hydrol., 320, 117–131.
Greene, D. R., and Hudlow, M. D. (1982). “Hydrometeorologic grid mapping procedures.” Proc., AWRA Int. Symp. on Hydrometeorology, Denver, Colo., A. I. Johnson and R. A. Clark, eds., AWRA, Bethesda, Md.
Gupta, H. V., Sorooshian, S., Hogue, T. S., and Boyle, D. P. (2003). “Advances in automatic calibration of watershed models.” Water Science and Application Series, Q. Duan, S. Sorooshian, H. V. Gupta, A. N. Rousseau, and R. Turcotte, eds., Vol. 6, American Geophysical Union, 197–211.
Gutierrez-Magness, A., and McCuen, R. H. (2005). “Effect of flow proportions on HSPF model calibration accuracy.” J. Hydrol. Eng., 10(5), 343–352.
Im, S., Brannan, K. M., and Mostaghimi, S. (2003). “Simulating hydrologic and water quality impacts in an urbanizing watershed.” J. Am. Water Resour. Assoc., 39(6), 1465–1479.
Kim, S. M., Benham, B. L., Brannan, K. M., Zeckoski, R. W., and Doherty, J. (2007). “Comparison of hydrologic calibration of HSPF using automatic and manual methods.” Water Resour. Res., 43, W01402.
Koren, V. I., Finnerty, B. D., Schaake, J. C., Smith, M. B., Seo, D.-J., and Duan, Q. Y. (1999). “Scale dependencies of hydrology models to spatial variability of precipitation.” J. Hydrol., 217, 285–302.
Lumb, A. M., McCammon, R. B., and Kittle, J. L., Jr. (1994). “Users manual for an expert system (HSPEXP) for calibration of the hydrologic simulation program—FORTRAN.” U.S. Geological Survey Water-Resources Investigations Rep. No. 94–4168, Reston, Va.
Marquardt, D. W. (1963). “An algorithm for least-squares estimation of nonlinear parameters.” J. Soc. Ind. Appl. Math., 11(2), 431–441.
Mesinger, F., et al. (2004). “NCEP North American regional reanalysis.” Proc., 15th Symp. on Global Change and Climate Variations, American Meteorological Society, Boston.
Michaud, J., and Sorooshian, S. (1994). “Comparison of simple versus complex distributed runoff models on a midsized semiarid watershed.” Water Resour. Res., 30(3), 593–605.
Mitchell, K., et al. (2004). “NCEP completes 25-year North American reanalysis: Precipitation assimilation and land surface are two hallmarks.” GEWEX News, 14(2), 9–12.
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.
Ogden, F. L., and Julien, P. Y. (1994). “Runoff model sensitivity to radar rainfall resolution.” J. Hydrol., 158, 1–8.
Reed, S. M., et al. (2004). “Overall distributed model intercomparison project results.” J. Hydrol., 298, 27–60.
Refsgaard, J. C., and Knudsen, J. (1996). “Operational validation and intercomparison of different types of hydrological models.” Water Resour. Res., 32(7), 2189–2202.
Shah, S. M., O’Connell, P. E., and Hosking, J. R. M. (1996a). “Modeling the effects of spatial variability in rainfall on catchment response. 1: Formulation and calibration of a stochastic rainfall field model.” J. Hydrol., 175, 66–88.
Shah, S. M., O’Connell, P. E., and Hosking, J. R. M. (1996b). “Modeling the effects of spatial variability in rainfall on catchment response. 2: Experiments with distributed and lumped models.” J. Hydrol., 175, 89–111.
Sieck, L. C., Burges, S. J., and Steiner, M. (2007). “Challenges in obtaining reliable measurements of point rainfall.” Water Resour. Res., 43, W01420.
Skahill, B. E., and Doherty, J. (2006). “Efficient accommodation of local minima in watershed model calibration.” J. Hydrol., 329, 122–139.
Smith, M. B., et al. (2004). “The distributed model intercomparison project (DMIP): Motivation and experiment design.” J. Hydrol., 298, 4–26.
Steiner, M., Smith, J. A., Burges, S. J., Alonso, C. V., and Darden, R. W. (1999). “Effect of bias adjustment and rain gauge data quality control on radar rainfall estimation.” Water Resour. Res., 35(8), 2487–2503.
United States Department of Agriculture (USDA). (1994). “State soil data use information.” U.S. Soil Conservation Service, Department of Agriculture, Washington, D.C., ⟨http://www.ftw.nrcs.usda.gov/stst_data.html⟩ (February 1, 2007).
U.S. Environmental Protection Agency (EPA). (2000). “BASINS technical note 6: Estimating hydrology and hydraulic parameters for HSPF.” EPA-823-R-00-012, Office of Water, Washington, D.C.
Vieux, B. E., Gui, Z., and Gaur, A. (2004). “Evaluation of a physics-based distributed hydrologic model for flood forecasting.” J. Hydrol., 298, 155–177
Wang, D., Smith, M. B., Zhang, Z., Reed, S. M., and Koren, V. I. (2000). “Statistical comparison of mean areal precipitation estimates from WSR-88d, operational and historical gage networks.” Proc., 15th Conf. on Hydrology, American Meteorological Society, Long Beach, Calif.
Whittemore, R. C. (2004). “Discussion: Methodologies for calibration and predictive analysis of a watershed model by John Doherty and John M. Johnston.” J. Am. Water Resour. Assoc., 40(1), 267.
Wilson, C. B., Valdes, J. B., and Rodriquez-Iturbe, I. (1979). “On the influence of the spatial distribution of rainfall on storm runoff.” Water Resour. Res., 15(2), 321–328.
Young, C. B., Bradley, A. A., Krajewski, W. F., and Anton, K. (2000). “Evaluating NEXRAD multisensor precipitation estimates for operational hydrologic forecasting.” J. Hydrometeorol., 1(3), 241–254.

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Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 14Issue 8August 2009
Pages: 847 - 857

History

Received: Nov 12, 2007
Accepted: Nov 17, 2008
Published online: Feb 12, 2009
Published in print: Aug 2009

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Hydrologist, School of Natural Resources, Univ. of Nebraska, Lincoln, NE 68583-0988. E-mail: [email protected]

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