SWAT2000: current capabilities and research opportunities in applied watershed modelling

SWAT (Soil and Water Assessment Tool) is a conceptual, continuous time model that was developed in the early 1990s to assist water resource managers in assessing the impact of management and climate on water supplies and non‐point source pollution in watersheds and large river basins. SWAT is the continuation of over 30 years of model development within the US Department of Agriculture's Agricultural Research Service and was developed to ‘scale up’ past field‐scale models to large river basins. Model components include weather, hydrology, erosion/sedimentation, plant growth, nutrients, pesticides, agricultural management, stream routing and pond/reservoir routing. The latest version, SWAT2000, has several significant enhancements that include: bacteria transport routines; urban routines; Green and Ampt infiltration equation; improved weather generator; ability to read in daily solar radiation, relative humidity, wind speed and potential ET; Muskingum channel routing; and modified dormancy calculations for tropical areas. A complete set of model documentation for equations and algorithms, a user manual describing model inputs and outputs, and an ArcView interface manual are now complete for SWAT2000. The model has been recoded into Fortran 90 with a complete data dictionary, dynamic allocation of arrays and modular subroutines. Current research is focusing on bacteria, riparian zones, pothole topography, forest growth, channel downcutting and widening, and input uncertainty analysis.

[1]  N. Crawford,et al.  DIGITAL SIMULATION IN HYDROLOGY' STANFORD WATERSHED MODEL 4 , 1966 .

[2]  R. W. Hann,et al.  Optimal Operation of Large Agricultural Watersheds with Water Quality Restraints , 1978 .

[3]  K. Beven,et al.  A physically based, variable contributing area model of basin hydrology , 1979 .

[4]  W. G. Knisel,et al.  CREAMS: a field scale model for Chemicals, Runoff, and Erosion from Agricultural Management Systems [USA] , 1980 .

[5]  L. F. Huggins,et al.  ANSWERS: A Model for Watershed Planning , 1980 .

[6]  R. Moore,et al.  A distribution function approach to rainfall runoff modeling , 1981 .

[7]  K. Beven,et al.  Testing a physically-based flood forecasting model (TOPMODEL) for three U.K. catchments , 1984 .

[8]  Arlen W. Harbaugh,et al.  A modular three-dimensional finite-difference ground-water flow model , 1984 .

[9]  John R. Williams,et al.  A modeling approach to determining the relationship between erosion and soil productivity [EPIC, Erosion-Productivity Impact Calculator, mathematical models] , 1984 .

[10]  Jeffrey G. Arnold,et al.  Simulator for Water Resources in Rural Basins , 1985 .

[11]  P. E. O'connell,et al.  An introduction to the European Hydrological System — Systeme Hydrologique Europeen, “SHE”, 1: History and philosophy of a physically-based, distributed modelling system , 1986 .

[12]  P. E. O'connell,et al.  An introduction to the European Hydrological System — Systeme Hydrologique Europeen, “SHE”, 2: Structure of a physically-based, distributed modelling system , 1986 .

[13]  Keith Beven,et al.  The Institute of Hydrology distributed model , 1987 .

[14]  W. G. Knisel,et al.  GLEAMS: Groundwater Loading Effects of Agricultural Management Systems , 1987 .

[15]  R. Young,et al.  AGNPS, Agricultural Non-Point-Source Pollution Model: a watershed analysis tool. Research report , 1987 .

[16]  Keith Beven,et al.  A physically based model of heterogeneous hillslopes: 1. Runoff production , 1989 .

[17]  Valentina Krysanova,et al.  Simulation modelling of the coastal waters pollution from agricultural watershed , 1989 .

[18]  Jeffrey G. Arnold,et al.  SWRRB; a basin scale simulation model for soil and water resources management. , 1990 .

[19]  Jens Christian Refsgaard,et al.  Application of the SHE to catchments in India Part 2. Field experiments and simulation studies with the SHE on the Kolar subcatchment of the Narmada River , 1992 .

[20]  Raghavan Srinivasan,et al.  INTEGRATION OF A BASIN‐SCALE WATER QUALITY MODEL WITH GIS , 1994 .

[21]  Vijay P. Singh,et al.  Hydrological Simulation Program - Fortran (HSPF). , 1995 .

[22]  R. Gillham,et al.  A deterministic-empirical model of the effect of the capillary fringe on near-stream area runoff 2. Testing and application , 1996 .

[23]  E. Todini The ARNO rainfall-runoff model , 1996 .

[24]  John R. Williams,et al.  LARGE AREA HYDROLOGIC MODELING AND ASSESSMENT PART I: MODEL DEVELOPMENT 1 , 1998 .

[25]  J. K. Koelliker,et al.  Integrated numerical modeling for basin-wide water management: The case of the Rattlesnake Creek basin in south-central Kansas , 1999 .

[26]  Raghavan Srinivasan,et al.  Possible Impacts of Global Warming on the Hydrology of the Ogallala Aquifer Region , 1999 .

[27]  Arnold,et al.  CONTINENTAL SCALE SIMULATION OF THE HYDROLOGIC BALANCE 1 , 1999 .

[28]  Surface Water Withdrawal Allocation Systems for Traditionally Riparian Areas , 1999 .

[29]  R. Hotchkiss,et al.  IMPACTS OF CLIMATE CHANGE ON WATER YIELD IN THE UPPER WIND RIVER BASIN 1 , 2000 .

[30]  Rollin H. Hotchkiss,et al.  REGULATED RIVER MODELING FOR CLIMATE CHANGE IMPACT ASSESSMENT: THE MISSOURI RIVER 1 , 2000 .

[31]  K. Eckhardt,et al.  Hydrologic Response to land use changes on the catchment scale , 2001 .

[32]  Nicola Fohrer,et al.  Long-term land use changes in a mesoscale watershed due to socio-economic factors — effects on landscape structures and functions , 2001 .

[33]  Hans-Georg Frede,et al.  Comparison of two different approaches of sensitivity analysis , 2002 .

[34]  Jeffrey G. Arnold,et al.  A SWAT/Microbial Sub-Model for Predicting Pathogen Loadings in Surface and Groundwater at Watershed and Basin Scales , 2002 .

[35]  Hans-Georg Frede,et al.  SWAT-G, a version of SWAT99.2 modified for application to low mountain range catchments , 2002 .

[36]  V. Vandenberghe,et al.  Detection of the most optimal measuring points for water quality variables: application to the river water quality model of the River Dender in ESWAT. , 2002, Water science and technology : a journal of the International Association on Water Pollution Research.

[37]  J. Arnold,et al.  Development of a snowfall-snowmelt routine for mountainous terrain for the soil water assessment tool (SWAT) , 2002 .

[38]  Nicola Fohrer,et al.  An interdisciplinary modelling approach to evaluate the effects of land use change , 2002 .

[39]  Raghavan Srinivasan,et al.  INTEGRATION OF WATERSHED TOOLS AND SWAT MODEL INTO BASINS 1 , 2002 .

[40]  A BACTERIA TMDL FOR SHOAL CREEK USING SWAT MODELING AND DNA SOURCE TRACKING , 2003 .

[41]  Willy Bauwens,et al.  Multiobjective autocalibration for semidistributed water quality models , 2003 .

[42]  Nicola Fohrer,et al.  Assessment of the effect of land use patterns on hydrologic landscape functions: a comprehensive GIS‐based tool to minimize model uncertainty resulting from spatial aggregation , 2005 .

[43]  Hans-Georg Frede,et al.  Automatic model calibration , 2005 .

[44]  Nicola Fohrer,et al.  Assessment of the effects of land use patterns on hydrologic landscape functions: development of sustainable land use concepts for low mountain range areas , 2005 .

[45]  Hans-Georg Frede,et al.  Considering spatial distribution and deposition of sediment in lumped and semi‐distributed models , 2005 .