Journal of Water Resource and Hydraulic Engineering (JWRHE)
An Open Access Journal
ISSN:2306-7705(Print)      ISSN:2306-7691(Online)
Editor-in-Chief:
Prof. Bill Hu, Florida State University, USA
Frequency: Quarterly
Assessing the Performance of HSPF When Using the High Water Table Subroutine to Simulate Hydrology in a Low-Gradient Watershed
Full Paper(PDF, 950KB)
Abstract:
Modeling groundwater hydrology is critical in low-gradient, high water table watersheds where ground-water is the dominant contribution to streamflow. The Hydrological Simulation Program-FORTRAN (HSPF) model has two different subroutines available to simulate ground water, the traditional groundwater (TGW) subroutine and the high water table (HWT) subroutine. The HWT subroutine has more parameters and requires more data but was created to enhance model performance in low-gradient, high water table watershed applications. The objective of this study was to compare the performance and uncertainty of the TGW and HWT subroutines when applying HSPF to a low-gradient watershed in the Coastal Plain of northeast North Carolina. Monte Carlo simulations were performed to generate data needed for model performance comparison. Both models performed well when simulating the 10% highest daily average flow rates. However, neither model performed well when simulating the 50% lowest daily average flow rates. The HWT model significantly outperformed the TGW model when simulating daily average flow over the full three-year simulation period, an indication that the HWT model out-performed the TGW over the full range of simulated flows. Model uncertainty was assessed using the Average Relative Interval Length (ARIL) metric. The HWT model exhibited slightly more combined model structure and parameter uncertainty than the TGW model. Based on the results, the HWT subroutine is preferable when applying HSPF to a low-gradient watershed and the accuracy of simulated stream discharge is the paramount concern.
Keywords:Modeling; HSPF; High Water Table; Uncertainty
Author: M. Scott Forrester1, Brian L. Benham2, Karen S. Kline2, Kevin J. McGuire3
1.Hatch Mott MacDonald Millburn, NJ, 07041, USA
2.Dept. Biological Systems Engineering, Virginia Tech, Blacksburg, VA 24060, USA
3.Dept. Forest Resources and Environmental Conservation, Virginia Tech, Blacksburg, VA 24060, USA
References:
  1. V. P. Singh and D. A. Woolhiser. Mathematical Modeling of Watershed Hydrology. Journal of Hydrology 7:270-292, 2002.
  2. K. Beven. Changing Ideas in Hydrology -- The Case of Physically-Based Models. Journal of Hydrology 105:157-172, 1989.
  3. R. B. Grayson, I. D. Moore and T. A. McMahon. Physically Based Hydrologic Modeling: 1. A Terrain-Based Model for Investigative Purposes. Water Resour. Res. 28:2639-2658, 1992.
  4. J. C. Refsgaard. Parameterisation, Calibration and Validation of Distributed Hydrological Models. Journal of Hydrology 198:69-97, 1997.
  5. K. W. Migliaccio and P. Srivastava. Hydrological Components of Watershed-Scale Models. Transactions of the American Society of Agricultural and Biological Engineers 50:1695-1703, 2007.
  6. A. S. Donigian, Jr., B. R. Bicknell and J. C. Imhoff. Hydrological Simulation Program - Fortran (HSPF). In: Computer models of watershed hydrology, V. P. Singh, ed. Water Resources Publications, Colorado, pp. 395-442, 1995.
  7. B. R. Bicknell, J. C. Imhoff, J. L. Kittle, T. H. Jobes and A. S. Donigian. Hydrological Simulation Program - Fortran: HSPF Version 12 User's Manual. U.S. Environmental Protection Agency, Athens, GA, 2001.
  8. P. Duda, J. Kittle, Jr., M. Gray, P. Hummel, R. Dusenbury. WinHSPF version 2.0: An interactive windows interface to HSPF: User manual. Contract No. 68-C-98-010. USEPA, Washington D.C., 2001.
  9. D. K. Borah, D. K. and M. Bera. Watershed-Scale Hydrologic and Nonpoint-Source Pollution Models: Review of Mathematical Bases. Transactions of the American Society of Agricultural and Biological Engineers 46:1553-1566, 2003.
  10. B. L. Benham, C. Baffaut, R. W. Zeckoski, K. R. Mankin, Y. A. Pachepsky, A. M. Sadeghi, K. M. Brannan, M. L. Soupir, and M. J. Habersack. Modeling bacteria fate and transport in watershed to support TMDLs. Trans. ASABE 49(4): 987-1002, 2006.
  11. B. L. Benham, , K. M. Brannan, G. R. Yagow, R. W. Zeckoski, T. A. Dillaha, S. Mostaghimi, and J.W. Wynn. Development of bacteria and benthic TMDLs: a case study, Linville Creek, Virginia. J. Environ. Qual. 34:1860–1872, 2005.
  12. MapTech. E. coli, Phased Benthic, and Phased Total PCB TMDL Development for Levisa Fork, Slate Creek, and Garden Creek. http://www.deq.virginia.gov/portals/0/DEQ/Water/TMDL/apptmdls/tenbigrvr/levisa.pdf. Accessed April 2013. Virginia Department of Environemntal Quality, Richmond, VA. 165 pp, 2011.
  13. M. N. Beaulac and K. H. Reckhow. An Examination of Land Use - Nutrient Export Relationships. Journal of the American Water Resources Association 18:1013-1024, 1982.
  14. I. Valiela, J. Costa, K. Foreman, J. Teal, B. Howes and D. Aubrey. Transport of Groundwater-Borne Nutrients From Watersheds and Their Effects on Coastal Waters. Biodegradation 10:177-197, 1999.
  15. P. .J. F. Yeh, and E. A. B. Eltahir. Representation of Water Table Dynamics in a Land Surface Scheme. Part I: Model Development. Journal of Climate 18:1861-1880, 2005.
  16. J. Zhang A. Said and M. Ross. Approach Using Active Groundwater Storage for Hydrologic Model Calibration in West-Central Florida. Journal of Irrigation and Drainage Engineering 136:58-62, 2010.
  17. A. Said, M. Ross and K. Trout. Calibration of HSPF Using Active Ground Water Storage. In: World Environmental and Water Resources Congress 2007: Restoring Our Natural Habitat, K. C. Kabbes (Editor). ASCE, Tampa, Florida, USA, pp. 342-342, 2007.
  18. Sheridan, J. M. Peak Flow Estimates for Coastal Plain Watersheds. Transactions of the American Society of Agricultural and Biological Engineers 45:1319-1326, 2002.
  19. Homer, C. H., J. A. Fry and C. A. Barnes. National Land Cover Database, 2012.
  20. USDA-ARS. The Hydrology and Hydrogeology of Ahoskie Creek Watershed, North Carolina: Data and Analysis. U. S. Department of Agriculture - Agricultural Research Service, Washington, D.C., 1977.
  21. USDA-ARS. The Hydrology and Hydrogeology of Ahoskie Creek Watershed, North Carolina: Data and Analysis. U. S. Department of Agriculture - Agricultural Research Service, Washington, D.C., 1977.
  22. USGS. U. S. Geological Survey Digital Raster Graphics (DRG). www.topomaps.usgs.gov/drg, accessed January 2011.
  23. USGS. U. S. Geological Survey National Elevation Dataset (NED). www.ned.usgs.gov, accessed January 2011.
  24. USGS. U. S. Geological Survey National Land Cover Database (NLCD). www.landcover.usgs.gov, accessed January 2011.
  25. V. T. Chow. Open-Channel Hydraulics. New York, McGraw-Hill, 1959.
  26. USEPA. BASINS Technical Note 6. United States Environmental Protection Agency, Washington D.C., 2000.
  27. S. M. Kim, B. L. Benham, K. M. Brannan, R. W. Zeckoski and J. Doherty. Comparison of Hydrologic Calibration of HSPF Using Automatic and Manual Methods. Water Resoures Research 43:W01402, doi: 01410.01029/02006WR004883. 2007.
  28. N. A. Al-Abed, and H. R. Whiteley. Calibration of the Hydrological Simulation Program Fortran (HSPF) Model Using Automatic Calibration and Geographical Information Systems. Hydrological Processes 16:3169-3188, 2002.
  29. A. S. Donigian. Watershed Model Calibration and Validation: The HSPF Experience. Proceedings of the Water Enviroment Federation 2002:44-73, 2002.
  30. J.E. Nash and J. V. Sutcliffe. River Flow Forecasting Through Conceptual Models Part I - A Discussion of Principles. Journal of Hydrology 10:282-290, 1970.
  31. S. K. Jain and K. P. Sudheer, 2008. Fitting of Hydrologic Models: A Close Look at the Nash--Sutcliffe Index. Journal of Hydrologic Engineering 13:981-986, 2008.
  32. A. M. Lumb, R. B. McCammon and J. John L. Kittle. Users Manual for an Expert System (HSPEXP) for Calibration of the Hydrological Simulation Program - Fortran. U. S. Geological Survey Report 94-4168, Reston, VA, 1994.
  33. R. C. Spear, T. M. Grieb and N. Shang, 1994. Parameter Uncertainty and Interaction in Complex Environmental Models. Water Resources Research 30:3159-3169, 1994.
  34. K. Beven, and A. Binley. The Future of Distributed Models: Model Calibration and Uncertainty Prediction. Hydrological Processes 6:279-298, 1992.
  35. T. Wagener and A. Montanari. Convergence of approaches toward reducing uncertainty in predictions in ungauged basins. Water Resources Research 47:W06301, 2011.
  36. K. Beven. A Manifesto for the Equifinality Thesis. Journal of Hydrology 320:18-36, 2006.
  37. K. J. Beven. Rainfall-Runoff Modelling - The Primer. Chichester, UK, John Wiley & Sons Lt., 2000.
  38. K. J. Beven, ed. Streamflow Generation Processes. Wallingford, UK, IAHS Press, 2006.
  39. D. Tetzlaff and U. Uhlenbrook. Effects of Spatial Variability of Precipitation for Process-Orientated Hydrological Modeling: Results from Two Nested Catchments. Hydrology and Earth System Sciences Discussions 2:119-154, 2005.
  40. M. Sivapalan. Prediction in Ungauged Basins: A Grand Challenge for Theoretical Hydrology. Hydrological Processes 17:3163-3170, 2003.
  41. X. Jin, C.-Y. Xu, Q. Zhang and V. P. Singh. Parameter and Modeling Uncertainty Simulated by GLUE and a Formal Bayesian Method for a Conceptual Hydrological Model Journal of Hydrology 383:147-155, 2010.
  42. R. C. Spear, T. M. Grieb and N. Shang, 1994. Parameter Uncertainty and Interaction in Complex Environmental Models. Water Resources Research 30:3159-3169, 1994.
  43. T. Wagener. and H. Gupta. Model Identification for Hydrological Forecasting Under Uncertainty. Stochastic Environmental Research and Risk Assessment 19:378-387, 2005.
  44. R. C. Spear and G. M. Hornberger. Eutrophication in Peel Inlet—II. Identification of Critical Uncertainties Via Generalized Sensitivity Analysis. Water Research 14:43-49, 1980.
  45. R. Brun, P. Reichert and H. R. Künsch. Practical Identifiability Analysis of Large Environmental Simulation Models. Water Resoures Research 37:1015-1030, 2001.
  46. M B. Beck. Water Quality Modeling: A Review of the Analysis of Uncertainty. Water Resour. Res. 23:1393-1442, 1987.
  47. N. McIntyre, B. Jackson, A. J. Wade, D. Butterfield and H. S. Wheater, 2005. Sensitivity Analysis of a Catchment-Scale Nitrogen Model. Journal of Hydrology 315:71-92, 2005.