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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Abbreviations
- A C :
-
Wetted cross-sectional area of the channel segment (L2)
- A GO :
-
Area at the interface between overland and subsurface (L2)
- A IJ :
-
Area through which mass influx passes from domain J to domain I (L2)
- a ijmn :
-
Dispersivity tensor (L)
- B C :
-
Top width of channel (L)
- b :
-
Thickness of channel bed (L)
- b :
-
Fitting parameter (dimensionless) (Eq. 2.4c)
- b IJ :
-
Distance between two centroids in domains I and J (L)
- C 1, C 2 :
-
Fitting parameters (dimensionless) (Eq. 2.14b)
- C 3 :
-
Fitting parameters (dimensionless) (Eq. 2.14c)
- C k :
-
Solute concentration of component k (M/L3)
- C d :
-
Weir discharge coefficient (dimensionless)
- C int :
-
Canopy storage parameter (L)
- \(\hat{C}{}_{k}\) :
-
Concentration for species k vector for the transport equation
- \(C_{\text{B}}^{k}\) :
-
Specified concentration of solute k at the boundary (M/L3)
- \(C_{\text{C}}^{*k}\) :
-
Solute concentration of component k of the sources (or sinks) within the channel domain (M/L3)
- \(C_{\text{G}}^{*k}\) :
-
Solute concentration of component k of the sources (or sinks) within the subsurface domain (M/L3)
- \(C_{{{\text{J}}^{+}}/{{\text{I}}^{-}}}^{k}\) :
-
Directionally dependent concentration of component k in domain J, if v IJ is positive, in domain I if v IJ is negative (M/L3)
- \(C_{\text{O}}^{*k}\) :
-
Solute concentration of component k of the sources (or sinks) within the overland domain (M/L3)
- \(C_{\text{O}}^{i}\) :
-
Reference solute concentration of species i (M/L3) corresponding to Δo and : o
- \(C_{\text{S}}^{i}\) :
-
Solute concentration of species i (M/L3) corresponding to \(\rho_{\text{S}}^{i}\) and \(\mu_{\text{S}}^{i}\)
- \(C_{\text{s}}^{k}\) :
-
Concentration of component k adsorbed to the soil (M/Msoil)
- \(D_{\text{d}}^{k}\) :
-
Molecular diffusion coefficient for component k (L2/T)
- \(D_{\text{IJ}}^{k}\) :
-
Effective dispersion coefficient of component k between domains I and J (L2/T)
- \(D_{ij}^{k}\) :
-
Apparent hydrodynamic dispersion tensor of component k (L2/T)
- D ijB :
-
Dispersion coefficient tensor at the boundary (L2/T)
- d :
-
Flow depth (L)
- d C :
-
Depth of channel flow (L)
- d O :
-
Depth of overland flow (L)
- E can :
-
Canopy evaporation (L/T)
- E P :
-
Reference evapotranspiration (L/T)
- F F :
-
Forcing vector for the flow equation
- F T :
-
Forcing vector for the transport equation
- f Str :
-
Structure discharge per unit length (L2/T)
- g :
-
Gravitation acceleration (L/T2)
- H :
-
Specified hydraulic head at the boundary at x iB (L)
- h :
-
Reference hydraulic head (or equivalent freshwater head) (L) = \(\frac{p}{{{\rho }_{o}}g}\,+\,{{x}_{3}}\)
- h :
-
Overland hydraulic head or water surface elevation (L) = d O + z LS
- h :
-
Hydraulic head or water surface elevation of the channel (L) = d C + z C
- \(\hat{h}\) :
-
Hydraulic head vector for the flow equation
- h C :
-
Head in the channel domain (L)
- h d :
-
Downstream head between the two systems (L)
- h G :
-
Head in the subsurface domain (L)
- h O :
-
Head in the overland domain (L)
- h u :
-
Upstream head between the channel and overland domains (L)
- LAI:
-
Leaf area index (dimensionless)
- L R :
-
Effective root length (L)
- l UStr :
-
Upstream reference location of the structure (L)
- l DStr :
-
Downstream reference location of the structure (L)
- K :
-
Leakance (1/T)
- K C :
-
Conductance term along the length of the channel (L3/T)
- K ij :
-
Hydraulic conductivity or conductance (L/T) in Eqs. (2.1), (2.5a), and (2.6a)
- \(K_{ij}^{\text{G}}\) :
-
Hydraulic conductivity tensor (L/T) = \(\frac{{{k}_{ij}}{{\rho }_{\text{o}}}g}{{{\mu }_{\text{o}}}}\)
- \(K_{ij}^{\text{O}}\) :
-
Overland conductance tensor (L/T)
- K F :
-
Conductance matrix for the flow equation
- \(K_{\text{GC}}^{\text{eff}}\) :
-
Effective leakance across the interface area between channel and subsurface (1/T)
- K GO :
-
Leakance across the interface area between overland and subsurface (1/T)
- K T :
-
Conductance matrix for the transport equation
- k ij :
-
Intrinsic permeability tensor (L2)
- k n :
-
Manning’s conversion factor (L1/3/T)
- k rC :
-
Relative channel conductance (dimensionless)
- k rG :
-
Relative permeability (dimensionless) which is a function of water saturation as provided by the relative permeability curve
- k rGC :
-
Relative leakance at the interface between channel and subsurface (dimensionless)
- k rGO :
-
Relative leakance at the interface between overland and subsurface (dimensionless)
- k rO :
-
Relative overland conductance (dimensionless)
- k Str :
-
Structure operation coefficient (dimensionless)
- L C :
-
Length of channel segment (L)
- l :
-
Length along the direction of flow (L)
- \(M_{\text{B}}^{k}\) :
-
Dispersive mass flux of species k per unit area (M/L3 T)
- M F :
-
Mass matrix for the flow equation
- M T :
-
Mass matrix for the transport equation
- \(m_{\text{IJ}}^{k}\) :
-
Mass influx rate per unit area from domain J to domain I of component k (M/L2 T)
- N P :
-
Number of parent chemicals or solute k (dimensionless)
- n C :
-
Manning’s roughness coefficient for channel (dimensionless)
- n i :
-
Unit vector (dimensionless), positive inward
- n ij :
-
Manning’s roughness coefficient tensor for overland flow (dimensionless)
- n R :
-
Number of cells that contribute to the total root zone for each areal location (dimensionless)
- n RT :
-
Number of cells that lie within the depth interval from 0 to L R at any areal location (dimensionless)
- n s :
-
Number of solutes (dimensionless)
- P C :
-
Wetted perimeter of the channel segment (L)
- P P :
-
Precipitation rate (L/T)
- p :
-
Fluid pressure (M/LT2)
- p o :
-
Reference fluid pressure (M/LT2)
- Q B :
-
Volumetric water flux per unit area (L)
- Q CG :
-
Flux across the area of the interface from subsurface to channel (L3/T)
- Q GC :
-
Flux across the area of the interface from channel to subsurface (L3/T)
- Q GO :
-
Flux across the area of the interface from overland to subsurface (L3/T)
- Q OC :
-
Flux across the total length of channel banks to/from the overland flow domain (L3/T)
- Q i :
-
Discharge per unit width normal to the flow direction (L2/T)
- Q OG :
-
Flux across the area of the interface from subsurface to overland (L3/T)
- Q Str :
-
Discharge rate (L3/T) of the structure as a function of head, h
- q C :
-
Volumetric flux per unit volume (1/T) of the overland domain and represents sources and/or sinks of water
- q CO :
-
Flux per unit volume of channel flow domain from the overland flow domain (1/T)
- q CG :
-
Flux per unit volume of channel flow domain from the subsurface (1/T)
- q G :
-
Volumetric flux per unit volume (1/T) of the subsurface domain and represents sources and/or sinks of water
- q GC :
-
Flux per unit volume of subsurface from the one-dimensional channel domain = − q CG (1/T)
- q GO :
-
Flux per unit volume of subsurface from the two-dimensional overland flow domain (1/T)
- q O :
-
Volumetric flux per unit volume (1/T) of the overland domain and represents sources and/or sinks of water
- q OC :
-
Flux per unit volume of overland flow domain from channel (1/T) = –q CO
- q OG :
-
Flux per unit volume of overland flow domain from groundwater (1/T) = –q GO
- r F(z):
-
Root extraction function (dimensionless) which typically varies logarithmically with depth
- S b :
-
Bed slope (dimensionless) at the zero-depth gradient boundary
- S e :
-
Effective water saturation (dimensionless)
- S G :
-
Degree of water saturation (dimensionless) and is determined by the moisture retention curve as a function of the pressure head
- S Gr :
-
Residual water saturation (dimensionless)
- S int :
-
Canopy storage (L)
- \(S_{\text{int}}^{\max}\) :
-
Canopy storage capacity (L)
- \(S_{\text{int}}^{\text{o}}\) :
-
Previous time step canopy storage (L)
- \(S_{\text{int}}^{\text{*}}\) :
-
Intermediate canopy storage (L)
- S O :
-
Equivalent sediment depth (L)
- S Str :
-
Structure unit function (dimensionless), equals unity along the length when a hydraulic structure is present, 0 otherwise
- s :
-
Length along the direction maximum local slope (L)
- \(T_{ij}^{\text{*}}\) :
-
Tortuosity tensor (dimensionless)
- T pI :
-
Rate of transpiration for computational cell I (L/T)
- t :
-
Time (T)
- V :
-
Magnitude of the velocity vector (L/T)
- V G :
-
Subsurface elementary volume (L3)
- V I :
-
Normalization volume in domain I (L3)
- v IJ :
-
Water flow rate per unit area from domain J to domain I (L/T)
- v i :
-
Darcy velocity along the ith direction (L/T)
- v iB :
-
Specified fluid velocity at the boundary (M/L3)
- x i :
-
Cartesian coordinate along the ith direction (L) with x 3 being vertically upward
- x iB :
-
Boundary coordinates (L)
- Z BANK :
-
Bank elevation (L) which may be at or above the overland flow surface elevation
- z :
-
Depth coordinate from the soil surface (L) (Eq. 2.14d)
- z C :
-
Channel bottom elevation (L)
- z LS :
-
Land surface elevation (L)
- ∀ :
-
Fitting parameter (1/L), (Eqs. 2.4a and 2.4b)
- ∀ G :
-
Bulk compressibility of aquifer (L2T2/M)
- ∃ :
-
Fitting parameter (dimensionless) (Eqs. 2.4a and 2.4b)
- ∃ w :
-
Fluid compressibility (LT2/M)
- \( I_{{CInt}}^{k}\) :
-
Mass transfer rate of component k between the channel and other domains (1/T)
- \( I_{{GInt}}^{k}\) :
-
Mass transfer rate of component k between subsurface and other domains (M/L3 T)
- \( I_{{OInt}}^{k}\) :
-
Mass transfer rate of component k between overland and other domains (1/T)
- γ :
-
1–1/β (dimensionless; Eqs. 2.4a and 2.4b)
- δ :
-
Total density factor (dimensionless) \( =\,\frac{{{\rho }_{\text{f}}}-{{\rho }_{\text{o}}}}{{{\rho }_{\text{o}}}}\)
- \(\delta ({{l}_{\text{UStr}}})\) :
-
Kronecker delta, equals unity at the upstream location of the structure (dimensionless)
- \(\delta ({{l}_{\text{DStr}}})\) :
-
Kronecker delta, equals unity at the downstream reference location of the structure (dimensionless), zero elsewhere
- ζ :
-
Distance along submerged channel cross section (L)
- θ an :
-
Moisture content at anoxic limit (dimensionless)
- 2 C :
-
Effective porosity in the channel domain (dimensionless)
- θ C :
-
Channel porosity (dimensionless)
- θ e1 :
-
Moisture content at the end of the energy-limiting stage (above which full evaporation can occur; dimensionless)
- θ e2 :
-
Limiting moisture content below which evaporation is zero (dimensionless)
- 2 eG :
-
Effective porosity in groundwater domain (dimensionless)
- θ fc :
-
Moisture content at field capacity (dimensionless)
- θ G :
-
Subsurface porosity (dimensionless)
- θ O :
-
Overland porosity (dimensionless)
- 2 C :
-
Channel porosity (dimensionless)
- θ o :
-
Moisture content at oxic limit (dimensionless)
- θ wp :
-
Moisture content at wilting point (dimensionless)
- \(g_{s}^{k}\) :
-
First-order decay coefficients for component k in soil (1/T)
- \(g_{w}^{k}\) :
-
First-order decay coefficients for component k in water (1/T)
- μ f :
-
Fluid dynamic viscosity (M/LT)
- : o :
-
Reference fluid dynamic viscosity (M/LT) corresponding to \(C_{\text{o}}^{i}\)
- \(\mu_{\text{S}}^{i}\) :
-
Fluid dynamic viscosity of species i (M/LT) corresponding to \(C_{\text{S}}^{i}\)
- > kj :
-
Fraction of parent component j transforming into component k (dimensionless)
- \(\rho_{\text{B}}^{\text{C}}\) :
-
Bulk density of sediment in the channel domain (M/L3)
- \(\rho_{\text{B}}^{\text{G}}\) :
-
Bulk density of soil in the subsurface domain (M/L3)
- \(\rho_{\text{B}}^{\text{O}}\) :
-
Bulk density of sediment in the overland domain (M/L3)
- ρ f :
-
Fluid density (M/L3)
- ρ o :
-
Reference fluid density (M/L3)
- Δo :
-
Reference fluid density (M/L3) corresponding to \(C_{\text{o}}^{i}\)
- \(\rho_{\text{S}}^{i}\) :
-
Fluid density of species i (M/L3) corresponding to \(C_{\text{S}}^{i}\)
- P :
-
Pressure head (L)= p/(Δo g)
References
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Zhang, Q., & Werner, A. D. (2012). Integrated surface-subsurface modeling of Fuxianhu Lake catchment, Southwest China. Water Resources Management, 23(11), 2189–2204.
Bear, J. (1972). Dynamics of fluids in porous media (p. 764). New York: Elsevier.
Bear, J. (1979). Hydraulics of groundwater (p. 569). New York: McGraw-Hill.
Eagleson, P. S. (1969). Dynamic hydrology (p. 462). New York: McGraw-Hill.
Viessman, W., & Lewis, G. (1996). Introduction to hydrology (p. 760). New York: HarperCollins.
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.
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.
Guymon, G. L. (1994). Unsaturated zone hydrology (p. 210). New Jersey: Prentice Hall.
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.
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.
Gottardi, G., & Venutelli, M. (1993). A control-volume finite-element model for two-dimensional overland flow. Advances in Water Resources, 16, 277–284.
Chow, V. T., Maidment, D. R., & Mays, L. W. (1988). Applied hydrology (p. 572). New York: McGraw-Hill.
Chow, V. T. (1959). Open-channel hydraulics (p. 680). New York: McGraw-Hill.
Scheidegger, A. E. (1961). General theory of dispersion in porous media. Journal of Geophysical Research, 66, 3273–3278.
Roberson, J. A., & Crowe, C. T. (1985). Engineering fluid mechanics (3rd edn., p. 503). Boston: Houghton Mifflin.
HydroGeoLogic, Inc. (2012). MODHMS-A MODFLOW-based hydrologic modeling system. Documentation and user’s guide. Reston, Virginia: HydroGeoLogic, Inc.
Kristensen, K. J., & Jensen, S. E. (1975). A model for estimating actual evapotranspiration from potential evapotranspiration. Nordic Hydrology, 6, 170–188.
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.
Monteith, J. L. (1981). Evaporation and surface temperature. Quarterly Journal of the Royal Meteorological Society, 107, 1–27.
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.
Feddes, R. A., Kowalik, P. J., & Zaradny, H. (1978). Simulation of field water use and crop yield. New York: Wiley.
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.
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.
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.
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.
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.
Huyakorn, P. S., & Pinder, G. F. (1983). Computational methods in subsurface flow (p. 473). London: Academic.
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.
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.
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.
Forsyth, P. A. (1993). MATB user’s guide iterative sparse matrix solver for block matrices. Canada: Department of Computer Science University of Waterloo.
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.
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.
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.
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.
Anderson, M. P., & Woessner, W. W. (1992). Applied groundwater modeling (p. 381). San Diego: Academic.
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.
Doherty, J. (2000). PEST, model-independent parameter estimation. Australia: Watermark Numerical Computing.
Duan, Q., Gupta, V. K., & Sorooshian, S. (1992). Effective and efficient global optimization for conceptual rainfall-runoff models. Water Resources Research, 28, 1015–1031.
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.
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.
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.
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.
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.
Schreuder, W. A. (2009). Running BeoPEST. In Proceedings of the 1st PEST conference, Potomac, Maryland, USA, November 1-3, 2009.
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.
Hill, M. C., & Tiedeman, C. R. (2007). Effective groundwater model calibration (p. 455). New Jersey: Wiley.
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.
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.
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.
Environmental Simulations, Inc. (2004). Development of the district wide regulation model. Report submitted to the Southwest Florida water Management District, Brooksville, Florida.
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.
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.
HydroGeoLogic, Inc. (2012). Peace river integrated modeling project (PRIM) phase V: Predictive model simulations. Report submitted to The Southwest Florida Water Management District.
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.
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.
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.
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.
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.
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.
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.
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.
Pollman, C. D., Landing, W. M., Perry, J. J., & Fitzpatrick, T. (2002). Wet deposition of phosphorus in Florida. Atmospheric Environment, 36, 2309–2318.
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.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Guvanasen, V., Huyakorn, P. (2015). Integrated Simulation of Interactive Surface-Water and Groundwater Systems. In: Yang, C., Wang, L. (eds) Advances in Water Resources Engineering. Handbook of Environmental Engineering, vol 14. Springer, Cham. https://doi.org/10.1007/978-3-319-11023-3_2
Download citation
DOI: https://doi.org/10.1007/978-3-319-11023-3_2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11022-6
Online ISBN: 978-3-319-11023-3
eBook Packages: EngineeringEngineering (R0)