Effect of watershed delineation and areal rainfall distribution on runoff prediction using the SWAT model

Hydrology Research

Volumn 40, Issue 6, 2009, Pages 505-519

  Rouhani, Hamed ^a   Willems, Patrick ^b   Feyen, Jan ^b  

^a GORGAN UNIVERSITY OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES   (Iran)

^b UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

Aerial rainfall; Automatic calibration; Hydrologic modelling; Model performance; Subbasin delineation; Watershed

Indexed keywords

AREAL DISTRIBUTION; AUTOMATIC CALIBRATION; BELGIUM; EXTREME FLOWS; FLANDERS; HYDROLOGIC MODELLING; MODEL PERFORMANCE; MODEL SET; NONUNIFORM; OPTIMIZATION ALGORITHMS; RAINFALL DISTRIBUTION; RETURN PERIODS; RIVER CATCHMENT; RUNOFF PREDICTION; SHUFFLED COMPLEX EVOLUTION; SLOW FLOW; SPATIAL DENSITIES; SPATIAL DISTRIBUTION; SUBBASINS; SUBCATCHMENTS; SWAT MODEL; WATERSHED DELINEATION;

CALIBRATION; CATCHMENTS; LANDFORMS; RUNOFF; SIZE DISTRIBUTION; WATERSHEDS;

RAIN;

ALGORITHM; AUTOMATION; CALIBRATION; CATCHMENT; FLOW MODELING; MODEL TEST; PREDICTION; RAINFALL-RUNOFF MODELING; STREAMFLOW; WATERSHED;

BELGIUM; FLANDERS; GROTE NETE BASIN;

EID: 76049106174     PISSN: 00291277     EISSN: None     Source Type: Journal    
DOI: 10.2166/nh.2009.042     Document Type: Article

References (56)

1. Andreassian, V., Perrin, C., Michel, C., Usart-Sanchez, I. & Lavabre, J. 2001 Impact of imperfect rainfall knowledge on the efficiency and the parameters of watershed models. J. HydroL. 250(1-4), 206-223.
2. Arnaud, P., Bouvier, C., Cisneros, L. & Dominguez, R. 2002 Influence of rainfall spatial variability on flood predication. J. Hydrol. 260, 216-230.
3. Arnold, J.G. & Allen, P.M. 1999 Automated methods for estimating baseflow and groundwater recharge from streamflow records. J. Am. Water Res. Assoc. 35(2), 411-424.
4. Arnold, J. G., Williams, J.R., Srinisavan, R. & King, K. W. 1994 SWAT: Soil and Water Assessment Tool. ARS-USDA, Temple, Texas, USA.
5. Bárdossy, A. & Das, T. 2008 Influence of rainfall observation network on model calibration and application. Hydrol. Earth Syst. Sci. 12, 77-89.
6. Bingner, R. L., Garbrecht, J., Arnold, J. G. & Srinivasan, R. 1997 Effect of watershed subdivision on simulation runoff and fine sediment yield. Trans. ASAE 40(5), 1329-1335.
7. Booji, M.J. 2002 Modeling the effects of spatial and temporal resolution of rainfall and basin model on extreme river discharge. Hydrol. Sci. J. 47(2), 307-320.
8. Bosch, D. D., Sheridan, J. M., Batten, H. L. & Arnold, J. G. 2004 Evaluation of the SWAT model on a coastal plain agricultural watershed. Trans. ASAE 47(5), 1493-1506.
9. Boyle, D.B., Gupta, H. V., Sorooshian, S., Koren, V., Zhang, Z. & Smith, M. 2001 Toward improved streamflow forecasts: value of semi-distributed modeling. Water Resour. Res. 37(11), 2749-2759.
10. Brath, A., Montanari, A. & Toth, E. 2004 Analysis of the effects of different scenarios of historical data availability on the calibration of a spatially-distributed hydrological model. J. Hydrol. 291, 232-253.
11. Butts, B. M., Paynea, J. T., Kristensen, M. & Madsen, H. 2004 An evaluation of the impact of model structure on hydrological modeling uncertainty for streamflow simulation. J. Hydrol. 298, 242-266.
12. 3-N loads at the watershed level. J. Hydrol. 312, 223-234.
13. Chaubey, I., Haan, C. T., Grunwald, S. & Salisbury, J. M. 1999 Uncertainty in the models parameters due to spatial variability of rainfall. J. Hydrol. 220, 46-61.
14. Chu, T. W. & Shirmohammadi, A. 2004 Evaluation of SWAT model's hydrology component in the Piedmont Physiographic Region of Maryland. Trans. ASAE 47(4), 1057-1073.
15. Das, T., Bárdossy, A., Zehe, E. & He, Y. 2008 Comparison of conceptual model performance using different representations of spatial variability. J. Hydrol. 356, 106-118.
16. Duan, Q., Sorooshian, S. & Gupta, V. K. 1992 Effective and efficient global optimization for conceptual rainfall-runoff models. Water Resour. Res. 28(4), 1015-1031.
17. Duan, Q., Gupta, V. & Sorooshian, S. 1993 Shuffled complex evolution approach for effective and efficient global minimization.J. Optim. Thoery Appl. 76(3), 501-521.
18. Faures, J. M., Goodrich, D. C, Woolhiser, D. A. & Sorooshian, S. 1995 Impact of small-scale spatial rainfall variability on runoff modeling. J. Hydrol. 173, 309-326.
19. FitzHugh, T. W. & Mackay, D. S. 2000 Impacts of input parameter spatial aggregation on an agricultural nonpoint source pollution model. J. Hydrol. 236, 35-53.
20. Garen, D. C. & Moore, D. S. 2005 Curve Number hydrology in water quality modeling: uses, abuses, and future directions. J. Am. Water Resour. Assoc. 41, 377-388.
21. Heuvelmans, G. 2005 Hydrological modeling as part of the landuse impact category in life cycle assessment. PhD Thesis, Katholieke Universiteit Leuven, Leuven, Belgium.
22. Huisman, S., van Griensven, A., Srinivasan, R. & Breuer, L. 2004 European SWAT summer school: Advanced course. SWAT development team and the Institute for Landscape Ecology and Resources Management of the Justus-Liebig University, Giessen, Germany.
23. Jha, M., Gassman, Ph. W., Secchi, S., Gu, R. & Arnold, J. 2004 Effect of watershed subdivision on SWAT flow, sediment, and nutrient predictions. J. Am. Water Resour. Assoc. 40, 811-825.
24. Kuczera, G. 1997 Efficient subspace probabilistic parameter optimization for catchment models. Water Resour. Res. 33(1), 177-185.
25. Laura, J. A., Lyona, S., Gérard-Marchanta, P., Collinsa, B. V., Lembob, A. J., Steenhuis, T. S. & Waltera, M. T. 2006 Identifying hydrologically sensitive areas: bridging the gap between science and application. J. Environ. Manage. 78, 63-76.
26. Madsen, H. 2003 Parameter estimation in distributed hydrological catchment modeling using automatic calibration with multiple objectives. Adv. Water Resour. 26, 205-216.
27. Mamillapalli, S., Srinivasan, R., Arnold, J. G. & Engel, B. A. 1996 Effect of spatial variability on basin scale modeling. Proc. Third Int. Conf./Workshop on Integrating GIS and Environmental Modeling, Santa Fe, New Mexico, January 21-26, 1996. National Center for Geographic Information and Analysis, Santa Barbara, CA, USA, http://www.ncgia.ucsb.edu/conf/SANTA-FE-CD- ROM/main.html
28. Michaud, J. D. & Sorooshian, S. 1994 Effect of rainfall-sampling errors on simulations of desert flash-floods. Water Resour. Res. 30(10), 2765-2775.
29. Nash, J. E. & Sutcliffe, J. V. 1970 River flow forecasting through conceptual models. I. A discussion of principles. J. Hydrol. 10, 282-290.
30. Neitsch, S. L., Arnold, J. G., Kiniry, J. R., Srinivasan, R. & Williams, J. R. 2002 Soil and Water Assessment Tool User's Manual: Version 2000. GSWRL Report 02-02, BRC Report 02-06, Publ. Texas Water Resources Institute, TR-192, College Station, Texas, USA.
31. Ogden, F. L. & Julien, P. Y. 1994 Runoff model sensitivity to radar rainfall resolution. J. Hydrol. 158, 1-18.
32. Reed, S., Koren, V., Smith, M., Zhang, Z., Moreda, F. & Seo, D. J. 2004 Overall distributed model inter-comparison project results. J. Hydrol. 298, 27-60.
33. Rouhani, H., Willems, P., Wyseure, G. & Feyen, J. 2007 Parameter estimation in semi- distributed hydrological catchment modeling using a multi-criteria objective function. J. Hydrol. Process. 21, 2998-3008.
34. Schuurmans, J. M. & Bierkens, M. F. P. 2006 Effect of spatial distribution of daily rainfall on interior catchment response of a distributed hydrological model. Hydrol. Earth Syst. Sci. Discuss. 3, 2175-2208.
35. SCS-USDA (Soil Conservation Service, US Department of Agriculture) 1972 National Engineering Handbook, Sec. 4, Hydrology. Washington DC, USA.
36. Segond, M. L., Wheater, H. S. & Onof, C. 2007 The significance of spatial rainfall representation for flood runoff estimation: a numerical evaluation based on the Lee catchment, UK. J. Hydrol. 347, 116-131.
37. Smedema, L. K. & Rycroft, D. W. 1983 Land Drainage: Planning and Design of Agricultural Drainage Systems. Batsford Academic and Educational Ltd, London, UK.
38. Smith, M. B., Koren, V. I., Zhang, Z., Reed, S. M., Pan, J.-J., Moreda, F. & Kuzmin, V. 2004 Runoff response to spatial variability in precipitation: an analysis of observed data. J. Hydrol. 298(1-4), 267-286.
39. Sorooshian, S. & Gupta, V. K. 1995 Model calibration. In: Singh, V. P. (ed.) Computer Models of Watershed Hydrology. Water Resource Publications, Highlands Ranch, CO, USA, pp. 23-68.
40. Sorooshian, S., Duan, Q. & Gupta, V. K. 1993 Calibration of rainfall-runoff models: application of global optimization to the Sacramento soil moisture accounting model. Water Resour. Res. 29, 1185-1194.
41. Thyer, M., Kuczera, G. & Bates, B. C. 1999 Probabilistic optimization for conceptual rainfall-runoff models: a comparison of the shuffled complex evolution and simulated annealing algorithms. Water Resour. Res. 35(3), 767-773.
42. Troutman, B. M. 1983 Runoff prediction errors and bias in parameter estimation induced by spatial variability of precipitation. Water Resour. Res. 19(3), 791-810.
43. Van Griensven, A. & Bauwens, W. 2003 Multi-objective auto-calibration for semi-distributed water quality models. Water Resour. Res. 39(12), 1348.
44. Van Griensven, A., Meixner, T., Grunwald, S., Bishop, T., Di Luzio, A. & Srinivasan, R. 2006 A global sensitivity analysis tool for the parameters of multi-variable watershed models. J. Hydrol. 324, 10-23.
45. Van Orshoven, J. 2005 Possibilities and limitations of the SWAT-Tool for the assessment of the impacts of farming practice. Internal Report, KU Leuven.
46. Van Orshoven, J., Deckers, J. A., Vandenbroucke, D. & Feyen, J. 1993 The completed database of Belgian soil profile data and its applicability in planning and management of rural land. Bull. Rech. Agron. Gembloux 28(2-3), 197-222.
47. Vázquez, R. F., Feyen, L., Feyen, J. & Refsgaard, J. C. 2002 Effect of grid size on effective parameters and model performance of the MIKE-SHE code. Hydrol. Process. 16(2), 355-372.
48. Vereecken, H., Feyen, J. & Maes, J. 1990 Estimating the hydraulic conductivity soil water content relationship from easy to measure soil properties. Soil Sci. 149(1), 1-12.
49. Vischel, T. & Lebel, T. 2007 Assessing the water balance in the Sahel: impact of small scale rainfall variability on runoff. Part 2: idealized modeling of runoff sensitivity. J. Hydrol. 333, 340-355.
50. Vrugt, J. A., Gupta, H. V., Gupta, L. A. & Bouten, W. 2003 Effective and efficient algorithm for multiobjective optimization of hydrologic models. Water Resour. Res. 39(8), 1214.
51. Watson, B. M., Coops, N., Selvalingam, S. & Ghafouri, M., 2005 Integration of 3-PG into SWAT to simulate the growth of evergreen forests. Proc. Third Int. SWAT Conference, Zürich, Switzerland, July 11-15, pp. 142-152.
52. Willems, P. 2000 Compound intensity/duration/frequency-relationships of extreme precipitation for two seasons and two storm types. J. Hydrol. 233, 189-205.
53. Willems, P. 2003 WETSPRO: Water Engineering Time Series PROcessing tool. Methodology and User's Manual, Hydraulics Laboratory, Katholieke Universiteit Leuven, Leuven, Belgium.
54. Willems, P., Guillou, A. & Beirlant, J. 2007 Bias correction in hydrologic GPD based extreme value analysis by means of a slowly varying function. J. Hydrol. 338, 221-236.
55. Wilson, C. B., Valdes, J. B. & Rodriguez-Iturbe, I. 1979 On the influence of the spatial distribution of rainfall on storm runoff. Water Resour. Res. 15(2), 321-328.
56. Wischmeier, W. H. & Smith, D. D. 1978 Predicting Rainfall Erosion Losses. Agricultural Handbook No. 537, U.S. Department of Agriculture, Washington, DC.