nach oben

Erschienen in:

2015 | OriginalPaper | Buchkapitel

2. Integrated Simulation of Interactive Surface-Water and Groundwater Systems

verfasst von : Varut Guvanasen, PhD,PE, Peter S. Huyakorn, PhD

Erschienen in: Advances in Water Resources Engineering

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Effective management of watersheds and ecosystems requires a comprehensive knowledge of hydrologic processes, and the ability to predict and quantify reliably the impacts due to anthropogenic or natural changes in water availability and water quality. For integrated water resources management studies in which both surface water and groundwater are interactive, a technically rigorous and physically based approach is essential. Simulation models have been used increasingly to provide a predictive capability in support of water resources, and environmental and restoration projects. Often, simplified models are used to quantify complex hydrologic and transport processes in surface and subsurface domains. Such models incorporate restrictive assumptions relating to spatial variability, dimensionality, and interactions of components in flow and transport processes. During the past decade, with the advent of high-speed personal computers, a number of rigorous integrated surface-water/groundwater models have been developed to circumvent these limitations. In general, a typical model of an integrated hydrologic system may be divided into three interactive and interconnected domains: subsurface, overland, and channels/streams, in which water flow and transport of constituents can occur. In this chapter, the following are presented and discussed: a description of relevant processes relating to water flow and solute transport in conjunction with governing equations for all domains; procedures for model development and calibration; and two field application examples.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel Watershed Sediment Dynamics and Modeling: A Watershed Modeling System for Yellow River

Nächstes Kapitel River Channel Stabilization with Submerged Vanes

Rosegrant, M. W., & Cai, X. (2002). Global water demand and supply projections part 2: Results and prospects to 2025. Water International, 27(2), 170–182.CrossRef

Loucks, D. P. (1996). Surface water resource systems. In L. W. Mays (Ed.), Water resources handbook (pp. 15.3-15.44). New York: McGraw-Hill.

Freeze, R. A., & Harlan, R. L. (1969). Blueprint of a physically-based, digitally simulated hydrologic response model. Journal of Hydrology, 9, 237–258.CrossRef

Spanoudaki, K., Nanou, A., Stamou, A. I., Christodoulou, G., Sparks, T., Bockelmann, B., & Falconer, R. A. (2005). Integrated surface water-groundwater modelling. Global NEST Journal, 7(3), 281–295.

Freeze, R. A. (1972). Role of subsurface flow in generating surface runoff: 1. Base flow contribution to channel flow. Water Resources Research, 8(3), 609–623.CrossRef

Langevin, C., Swain, E., & Melinda, W. (2005). Simulation of integrated surface-water/ground-water flow and salinity for a coastal wetland and adjacent estuary. Journal of Hydrology, 314, 212–234.CrossRef

Swain, E. D., & Wexler, E. J. (1996). A coupled surface-water and ground-water flow model (Modbranch) for simulation of stream-aquifer interaction. Techniques of Water-Resources Investigations of the United States Geological Survey Book 6, Chapter A6.

Bradford, S. F., & Katopodes, N. D. (1998). Nonhydrostatic model for surface irrigation. Journal of Irrigation and Drainage Engineering, 124(4), 200–212.CrossRef

VanderKwaak, J. E. (1999). Numerical simulation of flow and chemical transport in integrated surface-subsurface hydrologic systems. PhD thesis, University of Waterloo, Waterloo, Ontario, Canada.

10.

Panday, S., & Huyakorn, P. S. (2004). A fully coupled physically-based spatially distributed model for evaluating surface/subsurface flow. Advances in Water Resources, 27, 361–382.CrossRef

11.

Kumar, M., Duffy, C. J., & Salvage, K. M. (2009). A second order accurate, finite volume based, integrated hydrologic modeling (FIHM) framework for simulation of surface and subsurface flow. Vadose Zone Journal. doi:10.2136/vzj2009.0014.

12.

Khambhammettu, P., Kool, J., Tsou, M.-S., Huyakorn, P. S., Guvanasen, V., & Beach, M. (2009). Modeling the integrated surface-water groundwater interactions in West-Central Florida, USA. The International Symposium on Efficient Groundwater Resources Management. The Challenge of Quality and Quantity for Sustainable Future, Bangkok, Thailand, February 16-21, 2009.

13.

Barr, A., & Barron, O. (2009). Application of a coupled surface water-groundwater model to evaluate environmental conditions in the Southern River catchment. Commonwealth Scientific and Industrial Research Organisation: Water for a Healthy Country National Research Flagship, Australia.

14.

Guvanasen, V., Wei, X. Y., Huang, D., Shinde, D., & Price, R. (2011). Application of MODHMS to simulate integrated water flow and phosphorous transport in a highly interactive surface water groundwater system along the eastern boundary of the Everglades National Park, Florida. MODFLOW and More 2011: Integrated Hydrologic Modeling Conference. The Colorado School of Mines, Golden, Colorado, USA. June 5-8, 2011.

15.

Huang, G., & Yeh, G.-T. (2012). Integrated modeling of groundwater and surface water interactions in a manmade wetland. Terrestrial, Atmospheric and Oceanic Sciences, 23(5), 501–511.CrossRef

16.

Panday, S., & Huyakorn, P. S. (2008). MODFLOW SURFACT: A state-of-the-art use of vadose zone flow and transport equation and numerical techniques for environmental evaluations. Vadose Zone Journal, 7(2), 610–631.CrossRef

17.

Zhang, Q., & Werner, A. D. (2012). Integrated surface-subsurface modeling of Fuxianhu Lake catchment, Southwest China. Water Resources Management, 23(11), 2189–2204.CrossRef

18.

Bear, J. (1972). Dynamics of fluids in porous media (p. 764). New York: Elsevier.

19.

Bear, J. (1979). Hydraulics of groundwater (p. 569). New York: McGraw-Hill.

20.

Eagleson, P. S. (1969). Dynamic hydrology (p. 462). New York: McGraw-Hill.

21.

Viessman, W., & Lewis, G. (1996). Introduction to hydrology (p. 760). New York: HarperCollins.

22.

Guvanasen, V., & Chan, T. (2000). A three-dimensional numerical model for thermohydromechanical deformation with hysteresis in fractured rock mass. International Journal of Rock Mechanics and Mining Sciences, 37, 89–106.CrossRef

23.

van Genuchten, M. Th. (1980). A closed-form equation for predicting the hydraulic conductivity of unsaturated soils. Soil Science Society of America Journal, 44, 892–898.CrossRef

24.

Guymon, G. L. (1994). Unsaturated zone hydrology (p. 210). New Jersey: Prentice Hall.

25.

Wu, Y. S., Huyakorn, P. S., & Park, N. S. (1994). A vertical equilibrium model for assessing nonaqueous phase liquid contamination and remediation of groundwater systems. Water Resources Research, 30, 903–912.CrossRef

26.

Huyakorn, P. S., Panday, S., & Wu, Y. S. (1994). A three-dimensional multiphase flow model for assessing NAPL contamination in porous and fractured media: 1. Formulation. Journal of Contaminant Hydrology, 16, 109–130.CrossRef

27.

Gottardi, G., & Venutelli, M. (1993). A control-volume finite-element model for two-dimensional overland flow. Advances in Water Resources, 16, 277–284.CrossRef

28.

Chow, V. T., Maidment, D. R., & Mays, L. W. (1988). Applied hydrology (p. 572). New York: McGraw-Hill.

29.

Chow, V. T. (1959). Open-channel hydraulics (p. 680). New York: McGraw-Hill.

30.

Scheidegger, A. E. (1961). General theory of dispersion in porous media. Journal of Geophysical Research, 66, 3273–3278.CrossRef

31.

Roberson, J. A., & Crowe, C. T. (1985). Engineering fluid mechanics (3rd edn., p. 503). Boston: Houghton Mifflin.

32.

HydroGeoLogic, Inc. (2012). MODHMS-A MODFLOW-based hydrologic modeling system. Documentation and user’s guide. Reston, Virginia: HydroGeoLogic, Inc.

33.

Kristensen, K. J., & Jensen, S. E. (1975). A model for estimating actual evapotranspiration from potential evapotranspiration. Nordic Hydrology, 6, 170–188.

34.

Wigmosta, M. S., Vail, L. W., & Lettenmaier, D. P. (1994). A distributed hydrology-vegetation model for complex terrain. Water Resources Research, 30(6), 1665–1679.CrossRef

35.

Monteith, J. L. (1981). Evaporation and surface temperature. Quarterly Journal of the Royal Meteorological Society, 107, 1–27.CrossRef

36.

Senarath, S. U. S., Ogden, F. L., Downer, C. W., & Sharif, H. O. (2000). On the calibration and verification of two-dimensional, distributed, hortonian, continuous watershed models. Water Resources Research, 36(6), 1495–1510.CrossRef

37.

Feddes, R. A., Kowalik, P. J., & Zaradny, H. (1978). Simulation of field water use and crop yield. New York: Wiley.

38.

Woolhiser, D. A., Smith, R. E., & Giraldez, J.-V. (1997). Effects of spatial variability of saturated hydraulic conductivity on hortonian overland flow. Water Resources Research, 32(3), 671–678.CrossRef

39.

McDonald, M. G., & Harbaugh, A. W. (1988). A modular three-dimensional finite-difference ground water flow model. United States Geological Survey Open File Report 83-875. Washington, DC.

40.

Graham, N., & Refsgaard, A. (2001). MIKE SHE: A distributed, physically based modeling system for surface water/groundwater interactions. In Proceedings of “MODLFOW 2001 and other modeling Odysseys,” Golden, Colorado, USA. pp. 321–327.

41.

Panday, P., Brown, N., Foreman, T., Bedekar, V., Kaur, J., & Huyakorn, P.S. (2009). Simulating dynamic water supply systems in a fully integrated surface-subsurface flow and transport model. Vadose Zone Journal. doi:10.2136/vzj2009.0020.

42.

Celia, M. A., Bouloutas, E. T., & Zarba, R. L. (1990). A general mass-conservative numerical solution for the unsaturated flow equation. Water Resource Research, 27(7), 1483–1496.CrossRef

43.

Huyakorn, P. S., & Pinder, G. F. (1983). Computational methods in subsurface flow (p. 473). London: Academic.

44.

Huyakorn, P. S., Springer, E. P., Guvanasen, V., & Wadsworth, T. D. (1986). A three dimensional finite element model for simulating water flow in variably saturated porous media. Water Resources Research, 22(12), 1790–1808.CrossRef

45.

Vinsome, P. K. W. (1976). Orthomin, an iterative method for solving sparse sets of simultaneous linear equations. In Proceedings of Society of Petroleum Engineers Symposium on Numerical Simulation of Reservoir Performance, Los Angeles, California, USA.

46.

van der Vorst, H. A. (1992). Bi-CGSTAB: A fast and smoothly converging variant of Bi-CG for the solution of nonsymmetric linear systems. SIAM Journal on Scientific and Statistical Computing, 13, 631–644.CrossRef

47.

Forsyth, P. A. (1993). MATB user’s guide iterative sparse matrix solver for block matrices. Canada: Department of Computer Science University of Waterloo.

48.

Yeh, G. T., & Huang, G. (2003). A numerical model to simulate water flow in watershed systems of 1-D stream-river network, 2-D overland regime, and 3-D subsurface media (WASH123D: Version 1.5). Orlando, Florida: Department of Civil and Environmental Engineering, University of Central Florida.

49.

Yeh, G. T., Huang, G., Cheng, H. P., Zhang, F., Lin, H. C., Edris, E., & Richards, D. (2006). A first principle, physics-based watershed model: WASH123D. In: V. P. Singh & D. K. Frevert (Eds.), Watershed models. Boca Raton: CRC.

50.

Therrien, R., McLaren, R. G., & Sudicky, E. A. (2007). Hydrogeosphere-a three-dimensional numerical model describing fully integrated subsurface and surface flow and solute transport. Canada: Groundwater Simulations Group, University of Waterloo.

51.

Kollet, S. J., & Maxwell, R. M. (2006). Integrated surface-groundwater flow modeling: A free-surface overland flow boundary condition in a parallel groundwater flow model. Advances in Water Resources, 29, 945–958.CrossRef

52.

Anderson, M. P., & Woessner, W. W. (1992). Applied groundwater modeling (p. 381). San Diego: Academic.

53.

Poeter, E. P., & Hill, M. C. (1998). Documentation of UCODE: A computer code for universal inverse modeling. United States Geological Survey Water Resources Investigations Report 98-4080, Washington, DC.

54.

Doherty, J. (2000). PEST, model-independent parameter estimation. Australia: Watermark Numerical Computing.

55.

Duan, Q., Gupta, V. K., & Sorooshian, S. (1992). Effective and efficient global optimization for conceptual rainfall-runoff models. Water Resources Research, 28, 1015–1031.CrossRef

56.

Vrugt, J. A., Gupta, H. V., Bouten, W., & Sorooshian, S. (2003). A shuffled complex evolution metropolis algorithm for optimization and uncertainty assessment of hydrological model parameters. Water Resources Research, 39, 1201–1218.

57.

Schoups, G., Lee Addams, C., & Gorelick, S. M. (2005). Multi-objective calibration of a surface water-groundwater flow model in an irrigated agricultural region: Yaqui Valley, Sonora, Mexico. Hydrology and Earth System Sciences, 9, 549–568.CrossRef

58.

Vrugt, J. A., Gupta, H. V., Bastidas, L. A., Bouten, W., & Sorooshian, S. (2003). Effective and efficient algorithm for multiobjective optimization of hydrologic models. Water Resources Research, 39, 1214–1232.

59.

Duan, Q., Gupta, H. V., Sorooshian, S., Rousseau, A. N., & Turcotte, R. (Eds.). (2003). Calibration of watershed models. Water science and application 6 (p. 345). Washington, DC: American Geophysical Union.

60.

Vrugt, J. A., Nuallain, B. O., Robinson, B. A., Bouten, W., Dekker, S. C., & Sloot, P. M. A. (2006). Application of parallel computing to stochastic parameter estimation in environmental models. Computers & Geosciences, 32, 1139–1155.CrossRef

61.

Schreuder, W. A. (2009). Running BeoPEST. In Proceedings of the 1st PEST conference, Potomac, Maryland, USA, November 1-3, 2009.

62.

Hunt, R. J., Luchette, J., Schreuder, W. A., Rumbaugh, J. O., Doherty, J., Tonkin, M. J., & Rumbaugh, D. B. (2010). Using a cloud to replenish parched groundwater modeling efforts. Ground Water, 48(3), 360–365.CrossRef

63.

Hill, M. C., & Tiedeman, C. R. (2007). Effective groundwater model calibration (p. 455). New Jersey: Wiley.CrossRef

64.

Nash, J. E., & Sutcliffe. J. V. (1970). River flow forecasting through conceptual models part I-a discussion of principles. Journal of Hydrology, 10(3), 282–290.CrossRef

65.

Smith, M. B., Laurine, D. B., Koren, V. I., Reed, S. M., & Zhang, Z. (2003). Hydrologic model calibration strategy accounting for model structure. In: Q. Duan, H. V. Gupta, S. Sorooshian, A. N. Rousseau, & R. Turcotte (Eds.), Calibration of watershed models, Water science and application 6 (p. 133–152). Washington, DC: American Geophysical Union.CrossRef

66.

Beach, M. H. (2006). Southern district ground-water flow model, version 2.0. Hydrologic Evaluation Section, Resource Conservation and Development Department, Southwest Florida Water Management District, Brooksville, Florida.

67.

Environmental Simulations, Inc. (2004). Development of the district wide regulation model. Report submitted to the Southwest Florida water Management District, Brooksville, Florida.

68.

HydroGeoLogic, Inc. (2011). Peace river integrated modeling project (PRIM) phase IV: Basin-wide model. Report submitted to the Southwest Florida Water Management District, Brooksville, Florida.

69.

HydroGeoLogic, Inc. (2009). Peace river integrated modeling project (PRIM) phase III: Saddle creek basin integrated model. Report submitted to the Southwest Florida Water Management District, Brooksville, Florida.

70.

HydroGeoLogic, Inc. (2012). Peace river integrated modeling project (PRIM) phase V: Predictive model simulations. Report submitted to The Southwest Florida Water Management District.

71.

U.S. Army Corps of Engineers (USACE). (2002). Central and Southern Florida Project, Canal-111 South Dade County, Florida-S-332D detention area pre-operations and start-up monitoring data review report. U.S. Army Corps of Engineers, Jacksonville District, Jacksonville, Florida.

72.

Cunningham, K. J., Sukop, M. C., Huang, H., Alvarez, P. F., Curran, H. A., Renken, R. A., & Dixon, J. F. (2009). Prominence of ichnologically influenced macroporosity in the karst system of biscayne aquifer: Stratiform “Super-K” zones. Geological Society of America Bulletin, 121(1/2), 164–180.

73.

Evans, R. A. (2000). Calibration and verification of the MODBRANCH numerical model of South Dade County, Florida. U. S. Army Corps of Engineers, Jacksonville District, February, 2000.

74.

Fish, J. E., & Stewart, M. (1991). Hydrogeology of the surficial aquifer system, Dade County, Florida. U.S. Geological Survey Water-Resources Investigations Report 90-4108, 56 pp.

75.

Swain, E. D., Wolfert, M. A., Bales, J. D., & Goodwin, C. R. (2004). Two-dimensional hydrodynamic simulation of surface-water flow and transport to Florida Bay through the Southern Inland and Coastal Systems (SICS). U.S. Geological Survey Water-Resources Investigations Report 03-4287. 56 pp.

76.

HydroGeoLogic, Inc. (2010) Surface water groundwater flow and transport model development for the eastern boundary of Everglades National Park. Report submitted to The Florida International University, Miami, Florida, and National Park Services, Homestead, Florida.

77.

South Florida Water Management District. (1997). Documentation for the South Florida water management model. Hydrologic Systems Modeling Division, Planning Department, South Florida Water Management District, West Palm Beach, Florida.

78.

Geiser, E., Price, R., Scinto, L., & Trexler, J. (2008). Phosphorus retention and subsurface movement through the S-332 detention basins on the eastern boundary of the Everglades National Park. Florida International University, Report submitted to National Park Services, Homestead, Florida.

79.

Pollman, C. D., Landing, W. M., Perry, J. J., & Fitzpatrick, T. (2002). Wet deposition of phosphorus in Florida. Atmospheric Environment, 36, 2309–2318.CrossRef

80.

HydroGeoLogic, Inc. (2006). Conceptual and numerical model development using MODHMS for marsh driven operations at S −332 detention basins, prepared for: South Florida Ecosystem Office Everglades National Park. Report submitted to The Florida International University, Miami, Florida, and National Park Services, Homestead, Florida.

Titel: Integrated Simulation of Interactive Surface-Water and Groundwater Systems
verfasst von: Varut Guvanasen, PhD,PE
Peter S. Huyakorn, PhD
Verlag: Springer International Publishing
Buch: Advances in Water Resources Engineering
Print ISBN: 978-3-319-11022-6

Electronic ISBN: 978-3-319-11023-3

Copyright-Jahr: 2015
DOI: https://doi.org/10.1007/978-3-319-11023-3_2