Assessment of Optional Sediment Transport Functions via the Complex Watershed Simulation Model SWAT

The Soil and Water Assessment Tool 2012 (SWAT2012) offers four sediment routing methods as optional alternatives to the default simplified Bagnold method. Previous studies compared only one of these alternative sediment routing methods with the default method. The proposed study evaluated the impacts of all four alternative sediment transport methods on sediment predictions: the modified Bagnold equation, the Kodoatie equation, the Molinas and Wu equation, and the Yang equation. The Arroyo Colorado Watershed, Texas, USA, was first calibrated for daily flow. The sediment parameters were then calibrated to monthly sediment loads, using each of the four sediment routing equations. An automatic calibration tool—Integrated Parameter Estimation and Uncertainty Analysis Tool (IPEAT)—was used to fit model parameters. The four sediment routing equations yielded substantially different sediment sources and sinks. The Yang equation performed best, followed by Kodoatie, Bagnold, and Molinas and Wu equations, according to greater model goodness-of-fit (represented by higher Nash–Sutcliffe Efficiency coefficient and percent bias closer to 0) as well as lower model uncertainty (represented by inclusion of observed data within 95% confidence interval). Since the default method (Bagnold) does not guarantee the best results, modelers should carefully evaluate the selection of alternative methods before conducting relevant studies or engineering projects.

[1]  M. Arabi,et al.  The Relationship between Land Use and Vulnerability to Nitrogen and Phosphorus Pollution in an Urban Watershed. , 2017, Journal of environmental quality.

[2]  R. Cibin,et al.  Biophysical and hydrological effects of future climate change including trends in CO2, in the St. Joseph River watershed, Eastern Corn Belt , 2017 .

[3]  Raghavan Srinivasan,et al.  Western Lake Erie Basin: Soft-data-constrained, NHDPlus resolution watershed modeling and exploration of applicable conservation scenarios. , 2016, The Science of the total environment.

[4]  G. McCarty,et al.  Improving model prediction reliability through enhanced representation of wetland soil processes and constrained model auto calibration – A paired watershed study , 2016 .

[5]  Xiuying Wang,et al.  Applications of Explicitly Incorporated/Post‐Processing Measurement Uncertainty in Watershed Modeling , 2016 .

[6]  J. Honrado,et al.  Assessing the effects of land cover and future climate conditions on the provision of hydrological services in a medium‐sized watershed of Portugal , 2016 .

[7]  L. Bowling,et al.  Estimation of the effects of climate variability on crop yield in the Midwest USA , 2016 .

[8]  Jay F. Martin,et al.  Informing Lake Erie agriculture nutrient management via scenario evaluation , 2016 .

[9]  Raghavan Srinivasan,et al.  Impact of model development, calibration and validation decisions on hydrological simulations in West Lake Erie Basin , 2015 .

[10]  J. Arnold,et al.  The Conservation Effects Assessment Project (CEAP): a national scale natural resources and conservation needs assessment and decision support tool , 2015 .

[11]  Mazdak Arabi,et al.  Computational Procedure for Evaluating Sampling Techniques on Watershed Model Calibration , 2015 .

[12]  M. White,et al.  Development of Sediment and Nutrient Export Coefficients for U.S. Ecoregions , 2015 .

[13]  M. Arabi,et al.  Evaluation of alternative surface runoff accounting procedures using SWAT model , 2015 .

[14]  H. E. Andersen,et al.  Modelling sediment and total phosphorus export from a lowland catchment: comparing sediment routing methods , 2015 .

[15]  Naresh Pai,et al.  Hydrologic and Water Quality Models: Performance Measures and Evaluation Criteria , 2015 .

[16]  Wenhui Kuang,et al.  Individual and combined effects of land use/cover and climate change on Wolf Bay watershed streamflow in southern Alabama , 2014 .

[17]  T. Johnson,et al.  Incorporating the effects of increased atmospheric CO2 in watershed model projections of climate change impacts , 2014 .

[18]  R. Govindaraju,et al.  On the scaling behavior of reliability–resilience–vulnerability indices in agricultural watersheds , 2014 .

[19]  Min-kyeong Kim,et al.  Transferability of SWAT Models between SWAT2009 and SWAT2012. , 2014, Journal of environmental quality.

[20]  Xiuying Wang,et al.  A framework for propagation of uncertainty contributed by parameterization, input data, model structure, and calibration/validation data in watershed modeling , 2014, Environ. Model. Softw..

[21]  C. Shoemaker,et al.  Application of SWAT with and without Variable Source Area Hydrology to a Large Watershed , 2014 .

[22]  Ruoyu Wang,et al.  Responses of hydrological processes and water quality to land use/cover (LULC) and climate change in a coastal watershed , 2014 .

[23]  H. E. Andersen,et al.  Multiobjective calibration for comparing channel sediment routing models in the soil and water assessment tool. , 2014, Journal of environmental quality.

[24]  Raghavan Srinivasan,et al.  Applications of the SWAT Model Special Section: Overview and Insights. , 2014, Journal of environmental quality.

[25]  A. Sharifi,et al.  Carbon dynamics and export from flooded wetlands:A modeling approach , 2013 .

[26]  Yiping Wu,et al.  Modeling of soil erosion and sediment transport in the East River Basin in southern China. , 2012, The Science of the total environment.

[27]  Narayanan Kannan,et al.  SWAT Modeling of the Arroyo Colorado Watershed , 2012 .

[28]  Ashok Mishra,et al.  Modeling Hydrologic Processes and NPS Pollution in a Small Watershed in Subhumid Subtropics Using SWAT , 2012 .

[29]  H. Yen.  Confronting input, parameter, structural, and measurement uncertainty in multi-site multiple-response watershed modeling using Bayesian inferences , 2012 .

[30]  Jeffrey G. Arnold,et al.  Soil and Water Assessment Tool Theoretical Documentation Version 2009 , 2011 .

[31]  N. Fohrer,et al.  The impact of agricultural Best Management Practices on water quality in a North German lowland catchment , 2011, Environmental monitoring and assessment.

[32]  Kyle F. Flynn,et al.  EVALUATION OF SWAT FOR SEDIMENT PREDICTION IN A MOUNTAINOUS SNOWMELT-DOMINATED CATCHMENT , 2011 .

[33]  Puneet Srivastava,et al.  DETERMINING NUTRIENT AND SEDIMENT CRITICAL SOURCE AREAS WITH SWAT: EFFECT OF LUMPED CALIBRATION , 2011 .

[34]  J. Fox,et al.  Sediment Source Assessment in a Lowland Watershed Using Nitrogen Stable Isotopes 1 , 2010 .

[35]  L. M. Risse,et al.  Sediment fingerprinting to determine the source of suspended sediment in a southern Piedmont stream. , 2010, Journal of environmental quality.

[36]  D. Walling.  The Impact of Global Change on Erosion and Sediment Transport by Rivers : Current Progress and Future Challenges , 2009 .

[37]  Dean B. Gesch,et al.  The National Map - Elevation , 2009 .

[38]  D. S. van Maren,et al.  Predictability of sediment transport in the Yellow River using selected transport formulas , 2008 .

[39]  Ilona Bärlund,et al.  Assessing SWAT model performance in the evaluation of management actions for the implementation of the Water Framework Directive in a Finnish catchment , 2007, Environ. Model. Softw..

[40]  Jeffrey G. Arnold,et al.  Model Evaluation Guidelines for Systematic Quantification of Accuracy in Watershed Simulations , 2007 .

[41]  Jeffrey G. Arnold,et al.  CUMULATIVE UNCERTAINTY IN MEASURED STREAMFLOW AND WATER QUALITY DATA FOR SMALL WATERSHEDS , 2006 .

[42]  Philip W. Gassman,et al.  Water Quality Modeling for the Raccoon River Watershed Using SWAT , 2006 .

[43]  B. Eaton,et al.  Optimal alluvial channel width under a bank stability constraint , 2004 .

[44]  Timothy A. Cohn,et al.  Load Estimator (LOADEST): A FORTRAN Program for Estimating Constituent Loads in Streams and Rivers , 2004 .

[45]  Timothy H. Raines,et al.  Simulation of flow and water quality of the Arroyo Colorado, Texas, 1989-99 , 2002 .

[46]  Albert Molinas,et al.  Transport of sediment in large sand-bed rivers , 2001 .

[47]  R. Kodoatie.  Sediment Transport Relations In Alluvial Channels , 1999 .

[48]  Chih Ted Yang,et al.  Sediment transport : theory and practice / Chih Ted Yang , 1995 .

[49]  Ben Chie Yen.  Criteria for Evaluation of Watershed Models , 1995 .

[50]  Gilbert T. Bernhardt,et al.  A comprehensive surface-groundwater flow model , 1993 .

[51]  A. Dezetter,et al.  Selection of calibration objective fonctions in the context of rainfall-ronoff modelling in a Sudanese savannah area , 1991 .

[52]  C. Yang.  Unit Stream Power Equation for Gravel , 1984 .

[53]  D. Walling.  The sediment delivery problem , 1983 .

[54]  Jimmy R. Williams.  SPNM, a model for predicting sediment, phosphorus, and nitrogen yields from agricultural basins. , 1980 .

[55]  R. Bagnold.  Bed load transport by natural rivers , 1977 .

[56]  C. Yang.  Incipient Motion and Sediment Transport , 1973 .

[57]  W. Green,et al.  Studies on Soil Phyics. , 1911, The Journal of Agricultural Science.