Adapting SWAT hillslope erosion model to predict sediment concentrations and yields in large Basins

Multi-site calibration; MUSLE; Sediment budget; Sediment load; SWAT; Upper Danube; Water erosion; Budget control; Calibration; Erosion; Sediment transport; Sediments; Soils; Water quality; Sediment budgets; Sediment loads; Suspended sediments; Universal Soil Loss Equation; Article; Soil and Water Assessment Tool; Danube Basin; Environmental Monitoring; Geologic Sediments; Geological Processes; Models, Theoretical; Water Pollution

Abstract :

[en] The Soil and Water Assessment Tool (SWAT) is used worldwide for water quality assessment and planning. This paper aimed to assess and adapt SWAT hillslope sediment yield model (Modified Universal Soil Loss Equation, MUSLE) for applications in large basins, i.e. when spatial data is coarse and model units are large; and to develop a robust sediment calibration method for large regions. The Upper Danube Basin (132,000km2) was used as case study representative of large European Basins. The MUSLE was modified to reduce sensitivity of sediment yields to the Hydrologic Response Unit (HRU) size, and to identify appropriate algorithms for estimating hillslope length (L) and slope-length factor (LS). HRUs gross erosion was broadly calibrated against plot data and soil erosion map estimates. Next, mean annual SWAT suspended sediment concentrations (SSC, mg/L) were calibrated and validated against SSC data at 55 gauging stations (622 station-years). SWAT annual specific sediment yields in subbasin reaches (RSSY, t/km2/year) were compared to yields measured at 33 gauging stations (87station-years). The best SWAT configuration combined a MUSLE equation modified by the introduction of a threshold area of 0.01km2 where L and LS were estimated with flow accumulation algorithms. For this configuration, the SSC residual interquartile was less than +/-15mg/L both for the calibration (1995-2004) and the validation (2005-2009) periods. The mean SSC percent bias for 1995-2009 was 24%. RSSY residual interquartile was within +/-10t/km2/year, with a mean RSSY percent bias of 12%. Residuals showed no bias with respect to drainage area, slope, or spatial distribution. The use of multiple data types at multiple sites enabled robust simulation of sediment concentrations and yields of the region. The MUSLE modifications are recommended for use in large basins. Based on SWAT simulations, we present a sediment budget for the Upper Danube Basin. © 2015 The Authors.

Disciplines :

Earth sciences & physical geography

Author, co-author :

Vigiak, O.; European Commission, Joint Research Centre (JRC), Institute for Environment and Sustainability (IES), Italy

Malagó, A.; European Commission, Joint Research Centre (JRC), Institute for Environment and Sustainability (IES), Italy

Bouraoui, F.; European Commission, Joint Research Centre (JRC), Institute for Environment and Sustainability (IES), Italy

Vanmaercke, Matthias ; Université de Liège > Département de géographie > Géographie physique et du quaternaire

Poesen, J.; Division of Geography, KU Leuven, Celestijnenlaan, Heverlee, Belgium

Language :

English

Title :

Adapting SWAT hillslope erosion model to predict sediment concentrations and yields in large Basins

Publication date :

2015

Journal title :

Science of the Total Environment

ISSN :

0048-9697

eISSN :

1879-1026

Publisher :

Elsevier

Volume :

538

Pages :

855-875

Peer reviewed :

Peer Reviewed verified by ORBi

Available on ORBi :

since 28 March 2017

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Bibliography

Abbaspour K.C. SWAT-CUP 2012. SWAT Calibration and Uncertainty Programs - A User Manual 2014, 105. Eawag, Zurig.
Abbaspour K.C., Srinivasan R. SWAT-CUP version 5.6.1.2 2014, Eawag, Zurig, Switzerland, (http://www.eawag.ch/forschung/siam/software/swat/index_EN, accessed 16th Dec 2014).
Arnold J.G., Kiniry J.R., Srinivasan R., Williams J.R., Haney E.B., Neitsch S.L. Soil and Water Assessment Tool Input/Output Documentation Version 2012. Texas Water Resources Institute Technical Report 436 2012, Texas A&M University System, College Station, Texas, U.S., (http://swat.tamu.edu/documentation/2012-io/, accessed 17.12.2014).
Auerswald K., Fiener P., Dikau R. Rates of sheet and rill erosion in Germany - a meta-analysis. Geomorphology 2009, 111:182-193.
Bashfield A., Keim A. Continent-wide DEM creation for the European Union. 34th International Symposium on Remote Sensing of the Environment, Sydney, Australia, 10-15 April 2011 2011, (http://www.isprs.org/proceedings/2011/ISRSE-34/211104015Final00143.pdf, accessed 21st Jan 2015; data available at http://www.eea.europa.eu/data-and-maps/data/eu-dem#tab-metadata, accessed 21st Jan 2015).
Bennett N.D., Croke B.F.W., Guariso G., Guillaume J.H.A., Hamilton S.H., Jakeman A.J., Marsili-Libelli S., Newham L.T.H., Norton J.P., Perrin C., Pierce S.A., Robson B., Voinov A.A., Fath B.D., Andreassian V. Characterising performance of environmental models. Environ. Model. Softw. 2013, 40:1-20.
Betrie G.D., Mohamed Y.A., van Griensven A., Srinivasan R. Sediment management modeling in the Blue Nile Basin using SWAT model. Hydrol. Earth Syst. Sci. 2011, 15:807-818.
Borselli L., Cassi P., Salvador Sanchis P. Soil erodibility assessment for applications at watershed scale. Manual of Methods for Soil and Land Evaluation 2009, 98-117. Science Publishers, Enfield, USA. E.A.C. Costantini (Ed.).
Borselli L., Torri D., Poesen J., Iaquinta P. A robust algorithm for estimating soil erodibility in different climates. Catena 2012, 97:85-94.
Bosco C., de Rigo D., Dewitte O., Poesen J., Panagos P. Modelling soil erosion at European scale: towards harmonization and reproducibility. Nat. Hazards Earth Syst. Sci. 2015, 15:225-245. 10.5194/nhess-15-225-2015.
Bossa A.Y., Diekkrüger B., Igué A.M., Gaiser T. Analyzing the effects of different soil databases on modeling of hydrological processes and sediment yield in Benin (West Africa). Geoderma 2012, 173-174:61-74.
Cerdan O., Govers G., Le Bissonais Y., Van Oost K., Poesen J., Saby N., Gobin A., Vacca A., Quinton J., Auerswald K., Klik A., Kwaad F.J.P.M., Raclot D., Ionita I., Rejman J., Rousseva S., Muxart T., Roxo M.J., Dostal T. Rates and spatial variations of soil erosion in Europe: a study based on erosion plot data. Geomorphology 2010, 122:167-177.
Chaplot V. Impact of spatial input data resolution on hydrological and erosion modeling: recommendations from a global assessment. Phys. Chem. Earth 2014, 67-69:23-35.
Chen E., Mackay D.S. Effects of distribution-based parameter aggregation on a spatially distributed agricultural nonpoint source pollution model. J. Hydrol. 2004, 295:211-224.
Cheng H., Ouyang W., Hao F., Ren X., Yang S. The non-point source pollution in livestock-breeding areas of the Heihe River basin in Yellow Rover. Stoch. Environ. Res. Risk Assess. 2007, 21:213-221.
Chiang L.-C., Yuan Y. NHDPlus dataset, watershed subdivision and SWAT model performance. Hydrol. Sci. J. 2014, 10.1080/02626667.2014.916408.
Chiang L.-C., Yuan Y., Mehaffey M., Jackson M., Chaubey I. Assessing SWAT's performance in the Kaskaskia River watershed as influenced by the number of calibration stations used. Hydrol. Process. 2014, 28:676-687. 10.1002/hyp.9589.
Collins A.L., McGonigle D.F. Monitoring and modelling diffuse pollution from agriculture for policy support: UK and European experience. Environ. Sci. Pol. 2008, 11:97-101.
de Vente J., Poesen J. Predicting soil erosion and sediment yield at the basin scale: scale issues and semi-quantitative models. Earth Sci. Rev. 2005, 71:95-125.
de Vente J., Poesen J., Verstraeten G., Govers G., Vanmaercke M., Van Rompaey A., Arabkhedri M., Boix-Fayos C. Predicting soil erosion and sediment yield at regional scales: where do we stand?. Earth Sci. Rev. 2013, 127:16-29.
El-Sadek A., Irvem A. Evaluating the impact of land use uncertainty on the simulated streamflow and sediment yield of the Syhan River basin using the SWAT model. Turk. J. Agric. For. 2014, 38:515-530.
European Commission Directive 2000/60/EC of the European Parliament and of the Council of 23 October 2000 establishing a framework for Community action in the field of water policy (The Water Framework Directive 2000/60/EC). Off. J. 2000, L327:1-73.
European Topic Centre on Islands, Coastal and Marine waters (ICM) Waterbase - Urban Waste Water treatment directive. Version 2 Date of delivery: 07/02/2011. Available at:, (accessed 23/04/2015). http://www.eea.europa.eu/data-and-maps/data/waterbase-uwwtd-urban-waste-water-treatment-directive-1.
Eurostat NUTS - Nomenclature for territorial units for statistics (accessed 17/07/2015). http://ec.europa.eu/eurostat/web/nuts/overview.
Fan M., Shibata H. Simulation of watershed hydrology and stream water quality under land use and climate change scenarios in Teshio River watershed, northern Japan. Ecol. Indic. 2015, 50:79-89.
FAO/IIASA/ISRIC/ISS-CAS/JRC Harmonized World Soil Database (Version 1.0) 2008, FAO, Rome, Italy, (and IIASA, Laxenburg, Austria).
Flynn K., van Liew M.W. Evaluation of SWAT for sediment prediction in a mountainous snowmelt-dominated catchment. Trans. ASABE 2011, 54:113-122.
Gassman P.W., Reyes M.R., Green C.H., Arnold J.G. The Soil and Water Assessment Tool: historical development, applications, and future research directions. Trans. ASABE 2007, 50:1211-1250.
Gassman P.W., Sadeghi A.M., Srinivasan R. Applications of the SWAT Model Special Section: overview and insights. J. Environ. Qual. 2014, 43:1-8.
Gikas G.D., Yiannakopoulou T., Tsihrintzis V.A. Modeling of non-point source pollution in a Mediterranean drainage basin. Environ. Model. Assess. 2006, 11:219-233.
Grunwald S., Qi C. GIS-based water quality modeling in the Sandusky watershed, Ohio, USA. J. Am. Water Resour. Assoc. 2006, 42:957-973.
Habersack H.M. Lack and surplus of sediments being transported by river systems. IHAS Publication 1996, 236:565-573. D.E. Walling, B.W. Webb (Eds.).
Habersack H., Jäger E., Hauer C. The status of the Danube River sediment regime and morphology as a basis for future basin management. Int. J. River Basin Manag. 2013, 11:153-166.
Hao F.-H., Zhang X.-S., Yang Z.-F. A distributed non-point source pollution model: calibration and validation in the Yellow River Basin. J. Environ. Sci. 2004, 16:646-650.
International Commission of River Danube Protection (ICPDR) Danube River Basin Water Quality Database (accessed 8th Jan 2013). http://www.icpdr.org/wq-db/home.
International Commission of River Danube Protection (ICPDR) Assessment report on hydropower generation in the Danube basin (Vienna, 140pp., accessed 23rd Dec 2014). http://www.icpdr.org/main/sites/default/files/nodes/documents/hydropower_assessment_report_danube_basin_-_final.pdf.
Jha M., Gassman P.W., Secchi S., Gu R., Arnold J. Effects of watershed subdivision on SWAT flow, sediment and nutrient predictions. J. Am. Water Resour. Assoc. 2004, 40:811-825.
Jha M.K., Gassman P.W., Arnold J.G. Water quality modeling for the Raccoon River watershed using SWAT. Trans. ASABE 2007, 50:479-493.
Khanal S., Parajuli P.B. Evaluating the impacts of forest clear cutting on water and sediment yields using SWAT in Mississippi. J. Water Resour. Prot. 2013, 5:474-483. 10.4236/jwarp.2013.54047.
Knapen A., Poesen J., Govers G., Gyssels G., Nachtergaele J. Resistance of soils to concentrated flow erosion: a review. Earth Sci. Rev. 2007, 80:75-109.
Lehner R., Döll P. Development and validation of a global database of lakes, reservoirs and wetlands. J. Hydrol. 2004, 296:1-22. 10.1016/jhydrol.2004.03.028.
Li J., Zhou Z.X. Coupled analysis on landscape pattern and hydrological processes in Yanhe watershed of China. Sci. Total Environ. 2014, 505:927-938.
Lu S., Kronvang B., Audet J., Trolle D., Andersen H.E., Thodsen H., van Griensven A. Modelling sediment and total phosphorus export from a lowland catchment: comparing sediment routing methods. Hydrol. Process. 2014, 10.1002/hyp.10149.
Ma X., Lu X.X., van Noordwijk M., Li J.T., Xu J.C. Attribution of climate change, vegetation restoration, and engineering measures to the reduction of suspended sediment in the Kajie catchment, southwest China. Hydrol. Earth Syst. Sci. 2014, 18:1979-1994.
Maetens W., Vanmaercke M., Poesen J., Jankauskas B., Jankauskiene G., Ionita I. Effects of land use on annual runoff and soil loss in Europe and the Mediterranean: a meta-analysis of plot data. Prog. Phys. Geogr. 2012, 36:599-653.
Malagó A., Vigiak O., Bouraoui F., Franchini P. The impact of Hillslope Length parameter on SWAT streamflow predictions in the Upper Danube. XXVI Conference of the Danube Countries, Deggendorf, 22-24 September 2014 2014.
Malagó A., Vigiak O., Bouraoui F., Franchini P. The hillslope length impact on SWAT streamflow prediction in large Basins. J. Environ. Inform. 2015, (submitted for publication).
McCool D.K., Foster G.R., Mutchler C.K., Meyer L.D. Revised slope length factor for the universal soil loss equation. Trans. Am. Soc. Agric. Eng. 1989, 32:1571-1576.
Moatar F., Person G., Meybeck M., Coynel A., Etcheber H., Crouzet P. The influence of contrasting suspended particulate matter transport regimes on the bias and precision of flux estimates. Sci. Total Environ. 2006, 370:515-531.
Moatar F., Meybeck M., Raymond S., Birgand F., Curie F. River flux uncertainties predicted by hydrological variability and riverine material behavior. Hydrol. Process. 2013, 10.1002/hyp.9464.
Moore I.D., Wilson J.P. Length-slope factors for the Revised Universal Soil Loss Equation: simplified method of estimation. J. Soil Water Conserv. 1992, 47:423-428.
Moriasi D.N., Arnold J.G., van Liew M.W., Bingner R.L., Harmel R.D., Veith T.L. Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Trans. ASABE 2007, 50:885-900.
Ndomba P.M., van Griensven A. Suitability of SWAT model for sediment yields modelling in East Africa. Advances in Data, Methods, Models and their Applications in Geoscience 2011, InTech Open Science, Rijeka, Croatia, (ISBN 978-953-307-736-7, Chapter 13, http://www.intechopen.com/books/advances-in-data-methods-models-and-their-applications-in-geoscience/suitability-of-swat-model-for-sediment-yields-modelling-in-the-eastern-africa, accessed 18 Dec 2014). D. Chen (Ed.).
Ndomba P.M., Mtalo F.W., Killingtveit Å. A guided SWAT model application on sediment yield modeling in Pangani River Basin: lessons learnt. J. Urban Environ. Eng. 2008, 2:53-62.
Nearing M.A., Govers G., Norton D.A. Variability in soil erosion data from replicated plots. Soil Sci. Soc. Am. J. 1999, 63:1829-1835.
Neitsch S.L., Arnold J.G., Kiniry J.R., Williams J.R. Soil and Water Assessment Tool - Theoretical Documentation. Texas Water Resources Institute Technical report 406 2011, Texas A&M University System, College Station, Texas, U.S., (http://swat.tamu.edu/media/99192/swat2009-theory.pdf, accessed 17.12.2014).
Ntegeka V., Salamon P., Gomes G., Sint H., Lorini V., Thielen J. EFAS-Meteo: A European Daily High-resolution Gridded Meteorological Data Set for 1990-2011. JRC Technical Reports EUR26408EN 2013, 46. European Commission, Luxenbourg. 10.2788/51262.
Oeurng S., Sauvage S., Sánchez-Pérez J.-M. Assessment of hydrology, sediment and particle organic carbon yield, in a large agricultural catchment using the SWAT model. J. Hydrol. 2011, 401:145-153.
Owens P.N., Batalla R.J., Collins A.J., Gomez B., Hicks D.M., Horowitz A.J., Kondolf G.M., Marden M., Page M.J., Peacock D.H., Petticrew E.L., Salomons W., Trustum N.A. Fine-graded sediment in river systems: environmental significance and management issues. River Research and Applications 2005, 21:693-717.
Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: responses to European policy support and public data requirements. Land Use Policy 2012, 29:329-338.
Panagos P., Meusburger K., Van Liedekerke M., Alewell C., Hiederer R., Montanarella L. Assessing soil erosion in Europe based on data collected through a European Network. Soil Sci. Plant Nutr. 2014, 60(1):15-29.
Peel M.C., Finlayson B.L., McMahon T.A. Updated world map of the Köppen-Geiger climate classification. Hydrol. Earth Syst. Sci. 2007, 11:1633-1644.
Prosser I.P., Rustomji P. Sediment transport capacity relations for overland flow. Prog. Phys. Geogr. 2000, 24:179-193.
Rákóczi L. Chapter 9: Sediment Regime of the River Danube (1956-1985). Hydrological Processes of the Danube River Basin. Perspectives from the Danubian Countries 2010, 293-304. Springer. M. Brilly (Ed.).
Rickson R.J. Can control of soil erosion mitigate water pollution by sediments?. Sci. Total Environ. 2014, 468-469:1187-1197.
Santhi C., Arnold J.G., Williams J.R., Dugas W.A., Srinivasan R., Hauck L.M. Validation of the SWAT model on a large river basin with point and nonpoint sources. J. Am. Water Resour. Assoc. 2001, 37:1169-1188.
Schiller H., Miklos D., Sass J. The Danube River and its Basin physical characteristics, water regime and water balance. Hydrological Processes of the Danube River Basin. Perspectives from the Danubian Countries 2010, 25-78. Springer. M. Brilly (Ed.).
Sharma A., Tiwari K.N. A comparative appraisal of hydrological behavior of SRTM DEM at catchment level. J. Hydrol. 2014, 519:1394-1404.
Shen Z.Y., Chen L., Chen T. Analysis of parameter uncertainty in hydrological and sediment modeling using GLUE method: a case study of SWAT model applied to Three Gorges Reservoir region, China. Hydrol. Earth Syst. Sci. 2012, 16:121-132.
Shen Z., Qiu J., Hong Q., Chen L. Simulation of spatial and temporal distributions of non-point source pollution load in the Three Gorges Reservoir Region. Sci. Total Environ. 2014, 493:138-146.
Shresta B., Babel M.S., Maskey S., van Griensven A., Uhlenbrook S., Green A., Akkharath I. Impact of climate change on sediment yield in the Mekong River basin: a case study of the Nam Ou basin, Lao PDR. Hydrol. Earth Syst. Sci. 2013, 17:1-20.
United States Geological Survey (USGS) Shuttle Radar Topography Mission, finished 3-arc second SRTM format documentation Available online at, (accessed 21 Jan 2015). http://srtm.usgs.gov/data/datapolicy.php.
van Griensven A., Ndomba P., Yalew S., Kilonzo F. Critical review of SWAT applications in the upper Nile basin countries. Hydrol. Earth Syst. Sci. 2012, 16:3371-3381.
van Griensven A., Popescu I., Abdelhamid M.R., Ndomba P.M., Beevers L., Betrie G.D. Comparison of sediment transport computations using hydrodynamic versus hydrologic models in the Simiyu River in Tanzania. Phys. Chem. Earth 2013, 61-62:12-21.
Vanmaercke M., Poesen J., Verstraeten G., de Vente J., Ocakoglu F. Sediment yield in Europe: spatial patterns and scale dependency. Geomorphology 2011, 130:142-161.
Vanmaercke M., Maetens W., Poesen J., Jankauskas B., Jankauskiene G., Verstraeten G., de Vente J. A comparison of measured catchment sediment yields with measured and predicted hillslope erosion rates in Europe. J. Soils Sediments 2012, 12:586-602.
Vanmaercke M., Poesen J., Radoane M., Govers G., Ocakoglu F., Arabkhedri M. How long should we measure? An exploration of factors controlling the inter-annual variation of catchment sediment yield. J. Soils Sediments 2012, 12:603-619.
Vigiak O., Bende-Michl U. Estimating bootstrap and Bayesian prediction intervals for constituent load rating curves. Water Resour. Res. 2013, 49:8565-8578. 10.1002/2013WR013559.
Vogt J., Soille P., De Jager A., Rimavičiute E., Mehl W., Foisneau S., Bódis K., Dusart J., Paracchini M.L., Haastrup P., Bamps C. A pan-European river and watershed database. JRC reference reports EUR 229220EN 2007, 124. European Commission, Luxembourg.
Walling D.E., Collins A.L. The catchment sediment budget as a management tool. Environ. Sci. Pol. 2008, 11:136-143.
Williams J.R. Chapter 25: The EPIC Model. Computer Models of Watershed Hydrology 1995, 909-1000. Water Resources Publications, Highlands Ranch, U.S. V.P. Singh (Ed.).
Williams J.R., Hann R.W. Optimal operation of large agricultural watersheds with water quality constraints. Texas Water Resources Institute, Texas A&M University System, Texas, U.S. Technical Report TR96 1976.
Wishmeier W.H., Smith D.D. Predicting Rainfall Erosion Losses. USDA Agricultural Research Service (USDA-ARS) Handbook 537 1978.
Woodbury J.D., Shoemaker C.A., Easton Z.M., Cowan D.M. Application of SWAT with and without variable source area hydrology to a large watershed. J. Am. Water Resour. Assoc. 2014, 50:42-56.
Worrall F., Burt T.P., Howden N.J.K. The flux of suspended sediment from the UK 1974 to 2010. J. Hydrol. 2013, 504:29-39.
Wu Y., Chen J. Modeling of soil erosion and sediment transport in the East River Basin in southern China. Sci. Total Environ. 2012, 441:159-168.
Xu Y.D., Fu B.J., He C.S. Assessing the hydrological effect of the check dams in the Loess Plateau, China, by model simulations. Hydrol. Earth Syst. Sci. 2013, 17:2185-2193.
Yan B., Fang N.F., Zhang P.C., Shi Z.H. Impacts of land use change on watershed streamflow and sediment yield: an assessment using hydrologic modeling and partial least square regression. J. Hydrol. 2013, 484:26-37.
Zhai X., Zhang Y., Wang X., Xia J., Liang T. Non-point source pollution using Soil and Water Assessment Tool and its parameter sensitivity analysis in Xin'anjang catchment, China. Hydrol. Process. 2014, 28:1627-1640. 10.1002/hyp.9688.
Zhang H., Yang Q., Li R., Liu Q., Moore D., He P., Ritsema C.J., Geissen V. Extension of a GIS procedure for calculating the RUSLE equation LS factor. Comput. Geosci. 2013, 52:177-188.
Zhang P., Liu R., Bao Y., Wang J., Yu W., Shen Z. Uncertainty of SWAT model at different DEM resolutions in a large mountainous watershed. Water Res. 2014, 53:132-144.