1. General Model Information

Name: Soil and Water Assessment Tool

Acronym: SWAT


Main medium: terrestrial
Main subject: hydrology, biogeochemistry
Organization level: landscape, ecosystem
Type of model: not specified (3D)
Main application: decision support/expert system, research
Keywords: watershed, management, basin scale, spatially distributed, runoff, water quality, pollutant transport, climate change, vegetative changes, resevoir management, groundwater withdrawals, water transfer, nutrient cycling, erosion, sediment transport, continuous-time, multiple subbasins, capacity cascade soil water model , Priestley-Taylor evapotranspiration, Curve-Number-runoff, GIS-interface, soil database

Contact:

The SWAT Team
Grassland, Soil & Water Research Laboratory,
USDA-ARS
808 East Blackland Road
Temple, Texas 76502 USA

Phone: (254) 770-6500
Fax: (254) 770-6561
email:
Jeff Arnold: Hydraulic Engineer, Model Development
arnold@brc.tamus.edu

Nancy Sammons: Computer Assistant, PC version of SWAT, Windows Interface for SWAT, User Assistance
sammons@brc.tamus.edu"

Susan Neitsch: Biological Technician (Soils), Model Documentation, User Assistance
on sabbatical

Raghavan Srinivasan: Assistant Professor, GIS, modeling, application and interfaces
srin@brc.tamus.edu

Mauro DiLuzio: Post-doctoral Research Associate, GIS, modeling, and application, SWAT/ArcView interface
diluzio@brc.tamus.edu

Homepage: http://www.brc.tamus.edu/swat/index.html

Author(s):

Arnold, J.G., P.M. Allen, and G.T. Bernhardt (Arnold, Allen, Bernhardt, Srinivasan, Muttiah, Walker,Dyke, 1993, USDA & Texas A&M University),

Abstract:

Model Objectives: To predict effects of management (Climate and vegetative changes, resevoir managemant, groundwater withdrawals, water transfer) on water sediment and chemical yields on large river basins. SWAT can analyse watersheds and river basins of 100 square miles by subdividing the area into homogenous parts. Uses daily time step, continous for 1-100 years.

Approach: This model subdivides large river basins into homogenous parts, then analyzes each part and its interaction with the whole. SWAT is spatially distributed, so that these parts can interact. The model simulates hydrology, pesticide and nutrient cycling, erosion and sediment transport . Input consists of files, information from databases and information from a GIS interface . More specific information can be entered singly, for each area or for the watershed as a whole.

Backgrond: The model was developed by modifying the SWRRB , (Arnold et al, 1990) and ROTO (Arnold, 1990) models for application to large, complex rural basins. SWRRB is a distributed version of CREAMS ,which can be applied to a basin with a maximum of 10 subbasins, and SWAT is an extended and improved version of SWRRB, running simultaneously in several hundred subbasins.

Processes: The SWAT hydrology model is based on the water balance equation. A distributed SCS curve number is generated for the computation of overland flow runoff volume, given by the standard SCS runoff equation (USDA, 1986). A soil database is used to obtain information on soil type, texture, depth, and hydrologic classification. In SWAT, soil profiles can be divided into ten layers. Infiltration is defined in SWAT as precipitation minus runoff. Infiltration moves into the soil profile where it is routed through the soil layers. A storage routing flow coefficient is used to predict flow through each soil layer, with flow occurring when a layer exceeds field capacity. When water percolates past the bottom layer, it enters the shallow aquifer zone (Arnold and others, 1993). Channel transmission loss and pond/reservoir seepage replenishes the shallow aquifer while the shallow aquifer interacts directly with the stream. Flow to the deep aquifer system is effectively lost and cannot return to the stream (Arnold and others, 1993). The irrigation algorithm developed for SWAT allows irrigation water to be transferred from any reach or reservoir to any other in the watershed. Based on surface runoff calculated using the SCS runoff equation, excess surface runoff not lost to other functions makes its way to the channels where it is routed downstream. Sediment yield used for instream transport is determined from the Modified Universal Soil Loss Equation (MUSLE) (Arnold, 1992). For sediment routing in SWAT, deposition calculation is based on fall velocities of various sediment sizes. Rates of channel degradation are determined from Bagnold's (1977) stream power equation. Sediment size is estimated from the primary particle size distribution (Foster and others, 1980) for soils the SWAT model obtains from the STATSGO (USDA 1992) database. Stream power also is accounted for in the sediment routing routine, and is used for calculation of re-entrainment of loose and deposited material in the system until all of the material has been removed.

Adaption: SWAT is currently adapted only for US watersheds (using the specific data sets, particularly soil and weather data bases). The SWAT represents a component of the HUMUS project, where it is applied for 350 6-digit hydrologic unit areas in the 18 major river basins in the U.S. (Srinivasan et al., 1993b).
Krysanova et. al (1996) adopted large parts of SWAT for their model SWIM which they designed for the Elbe river basin in Northern Germany.

Pre- and Postprocessing: The SWAT/GRASS interface (Srinivasan, Arnold, 1993, Srinivasan et al., 1993a)extracts spatially distributed parameters of elevation, land use, soil types, and groundwater table. The interface creates a number of input files for the basin and subbasins, including the subbasin routing structure file.

The SWAT-GIS linkage incorporates advanced visualization tools capable of statistical analysis of output data.

Please check for the revised documentation of the current 99.2 version: http://www.brc.tamus.edu/swat/swatdoc.html


II. Technical Information

II.1 Executables:

Operating System(s): UNIX (Solaris), PC (DOS, Windows)


II.2 Source-code:

Programming Language(s): Fortran to obtain the SWAT-codes please contact the authors
Raghavan Srinivasan srin@brc.tamus.edu
Jeff Arnoldarnold@brc.tamus.edu

II.3 Manuals:

http://www.brc.tamus.edu/swat/swat992.html



II.4 Data:

see section II.2

III. Mathematical Information


III.1 Mathematics


III.2 Quantities


III.2.1 Input

III.2.2 Output


IV. References

Santhi, C., Arnold, J.G., Williams, J.R., Dugas, W.A., and Hauck, L.Validation of the SWAT model on a large river basin with point and nonpoint sources. J. of American Water Resources Association (in review).

Cruickshank, T.S., Fontaine, T.A., Arnold, J.G., and Hotchkiss, R.H. 2000Large scale hydrologic modeling of the snowfall-snowmelt system in mountainous terrain. J. of Hydrology (in review).

Fritch, T. G., McKnight, C. L., Yelderman, J. C. Jr., Dworkin, S. I., Arnold, J. G. 2000.A predictive modeling approach to assessing the groundwater pollution susceptibility of the Paluxy Aquifer, Central Texas, using a geographic information system. Environmental Geology (In Press).

Saleh, A., Arnold, J.G., Gassman, P.W., Hauck, L.W., Rosenthal, W.D., Williams, J.R., and McFarland, A.M.S. 2000.Application of SWAT for the upper north Bosque watershed. Transactions of the ASAE (In press)

Arnold, J.G., Srinivasan, R., Muttiah, R.S., Allen, P.M., and Walker, C. 1999. Continental scale simulation of the hydrologic balance. J. American Water Resources Association 35(5):1037-1052.

Srinivasan, R.S., Arnold, J.G., and Jones, C.A. 1998.Hydrologic modeling of the United States with the soil and water assessment tool. Water Resources Development 14(3):315-325.

Srinivasan, R., Ramanarayanan, T.S., Arnold, J.G., and Bednarz, S.T. 1998.Large area hydrologic modeling and assessment part II: model application. J. American Water Resources Association 34(1):91-101.

Arnold, J.G., Srinivasan, R., Muttiah, R.S., and Williams, J.R. 1998. Large area hydrologic modeling and assessment part I: model development. J. American Water Resources Association 34(1):73-89.

Arnold, J.G., 1992: Spatial Scale Variability in Model Developmentand Parameterization: Ph.D. Dissertation, Purdue University, WestLafayette, IN, 183 p.

Arnold, J.G., P.M. Allen, and G.T. Bernhardt, 1993: A ComprehensiveSurface-Groundwater Flow Model: Journal of Hydrology, v. 142,p. 47-69.

Arnold, J.G., B.A. Engel, and R. Srinivasan, 1993: A ContinuousTime, Grid Cell Watershed Model: in Proceedings of Applicationof Advanced Technology for the Management of Natural Resources,Sponsored by American Society of Agricultural Engineers, June17-19, 1993, Spokane, WA.

Arnold, J.G., J.R. Williams, R. Srinivasan, K.W. King, and R.H.Griggs, 1995: SWAT - Soil and Water Assessment Tool: Draft UsersManual, USDA-ARS, Temple, TX.

Srinivasan, R., and Arnold, J.G., 1993. Basin scale water qualitymodelling using GIS. Proceedings, Applications of AdvancedInform. Technologies for Manag. of Nat. Res. June 17-19, Spokane,WA, USA.

Srinivasan, R., Arnold, J.G., Muttiah, R.S., Walker C., Dyke P.T.,1993. Hydrologic Unit Model for the United States (HUMUS). In:Sam S.Y.Wang (ed.) Advances in Hydro-Science and -Engineering,Vol. I.

USDA, 1992. STATSGO - State soils geographic data base.Soil Conservation Service, Publ. Number 1492, Washington D.C.



V. Further information in the World-Wide-Web

other examples for GIS-based watershed modeling are described under

VI. Additional remarks

Information and remarks about the application of this model


Last review of this document by: Hailing Wang and T. Gabele: 25. 9. 1997
J. Bierwirth: 19.9.2000
Status of the document:
last modified by Tobias Gabele Wed Aug 21 21:44:50 CEST 2002

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