Calibration and validation of SWAT model for predicting runoff and sediment yield of a small watershed in India

International Agricultural Engineering Journal

Volumn 12, Issue 1-2, 2003, Pages 95-118

  Tripathi, M P ^a   Panda, R K ^b   Raghuwanshi, N S ^b  

^a INDIRA GANDHI AGRICULTURAL UNIVERSITY   (India)

^b INDIAN INSTITUTE OF TECHNOLOGY   (India)

Author keywords

GIS; Hydrologic and water quality; Nutrient losses; Runoff; Sediment yield; SWAT model; Watershed

Indexed keywords

CHANNEL FLOW; GEOGRAPHIC INFORMATION SYSTEMS; SEDIMENTS; WATER QUALITY; WATERSHEDS;

SOIL WATER STORAGE; SUB-WATERSHED;

RUNOFF;

EID: 0141732205     PISSN: 08582114     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (30)

1. Arnold, J.G., Williams, J. R., Srinivasan, R. and K. W. King (1996). Soil and Water Assessment Tool, Users' Manual. USDA, Agriculture Research Service, Grassland, Soil and Water Research Laboratory, 808 East Blackland Road Temple, TX 76502.
2. Arnold, J. G., Srinivasan, R., Muttiah, R. S. and J. R. Williams (1998). Large area hydrologic modeling and assessment. Part I: model development. Journal of the American Water Resources Association, 34(1):73-89.
3. Arnold, J. G., Srinivasan, R., Muttiah, R. S. and P. M. Allen (1999). Continental scale simulation of the hydrologic balance. Journal of American Water Resources Association, 35(5):1037-1051.
4. ASCE Task Committee (1993). Criteria for evaluation of watershed models. Journal of Irrigation and Drainage Engineering, 119(3):429-442.
5. Bingner, R. L. (1996). Runoff simulation from Goodwin Creek watershed using SWAT. Transactions of the American Society of Agricultural Engineers, 39(1):85-90.
6. Bingner, R. L., Murphree, C. E. and C. K. Mutchler (1989). Comparison of sediment yield models on various watersheds in Mississippi. Transaction of the ASAE, 32(2):529-534.
7. Cho, S. M., Jennings, G. D., Stallings, C. and H. A. Devine (1995) GIS-based water quality model calibration in the Delaware River Basin. ASAE Microfiche No. 952404, American Society of Agricultural Engineers, St. Joseph, Michigan.
8. Dhruva Narayana, V. V. (1993). Soil and Water Conservation Research in India. Indian Council of Agricultural Research, Krishi Anusandhan Bhavan, Pusa, New Delhi, pp. 146-151.
9. Jenson, S. K. and J. O. Domingue (1988). Extracting topographic structure from digital elevation data for geographic information system analysis. Photogrammetric Engineering and Remote Sensing, 54(11):1593-1600.
10. Martinec, J. and A. Rango (1989). Merits of statistical criteria for the performance of hydrological models. Water Resources Bulletin, 25(20):421-432.
11. Narayana, V. V. D. (1993). Soil and water conservation research in India. Indian Council of Agricultural Research, Krishi Anusandhan Bhawan, New Delhi, pp. 146-151.
12. Nash, J. E. and J. V. Sutcliffe, (1970). River flow forecasting through conceptual models. Part 1 - A discussion of principles. Journal of Hydrology, 10(3):282-290.
13. PCI Inc. (1994). EASI / PACE Image Analysis System Manual, Version 5.3. PCI Incorporated, Richmond Hill, Ontario, Canada; Vols. I & II.
14. Peterson, J. R. and J. M. Hamlett (1998). Hydrological calibration of the SWAT model in a watershed containing fragipan soils. Journal of the American Water Resources Association, 34(3):531-544.
15. Pratt, N. D., Bird, A. C., Taylor, J. C. and R. C. Carter (1997). Estimating area of land under small-scale irrigation using satellite imagery and ground data for a study area in N. E. Nigeria. The Geographical Journal, 163(1):65-77.
16. Rosenthal, W. D., Srinivasan, R. and J. G. Arnold (1995). Alternative river management using a linked GIS-hydrology model. Transactions of the American Society of Agricultural Engineers, 38(3):783-790.
17. Santhi, C., Arnold, J. G.; Williams, J. R., Dugas, W. A., Srinivasan, R. and L. M. Hauck (2001). Validation of the SWAT model on a large river basin with point and nonpoint sources. Journal of American Water Resources Association, 37(5):1169-1188.
18. Singh, V. P. (1994). Elementary Hydrology. Prentice-Hall, Englewood Cliffs, New Jersey.
19. Smith, M. B. and M. Brilly (1992). Automated grid element ordering for GIS-based overland flow modeling. Photogrammetric Engineering and Remote Sensing, 58(5):579-585.
20. Smith, M.B. and A. Vidmar (1994). Data set derivation for GIS based urban hydrological modeling. Photogrammetric Engineering and Remote Sensing, 60(1):67-76.
21. Srinivasan, R. and J. G. Arnold (1994). Integration of a basin scale water quality model with GIS. Water Resources Bulletin, 30(3):453-462.
22. Srinivasan, R., Arnold, J. G., Rosenthal, W. and R. S. Muttiah (1993). Hydrologic modeling of Texas Gulf basin using GIS. In: Proceedings of Second International GIS and Environmental Modeling, Breckinridge, Colorado, pp. 213-217.
23. Srinivasan, R., Ramanarayanan, T. S., Arnold, J. G. and S. T. Bednarz (1998). Large area hydrologic modeling and assessment. Part II: model application. Journal of the American Water Resources Association, 34(1):91-101.
24. Stuebe, M. M. and D. M. Johnston (1990). Runoff volume estimation using GIS techniques. Water Resources Bulletin, 26(4):611-620.
25. Tiwari, K. N., Kanan, N., Singh, R and S. K. Ghosh (1997) Watershed parameters extraction using GIS and remote sensing for hydrologic modeling. ASIAN-PACIFIC Remote Sensing and GIS Journal, 10(1):43-52.
26. Tripathi, M. P. (1999). Hydrological modelling for effective management of a small watershed. Ph. D. thesis, Agricultural and Food Engineering Department, Indian Institute of Technology, Kharagpur, India. (unpublished).
27. USDA-SCS (1972). National Engineering Handbook. Hydrology Section 4, Chapters 4-10, Washington, D. C.
28. Williams, J. R. and H. D. Berndt (1977). Sediment yield prediction based on watershed hydrology. Transactions of the American Society of Agricultural Engineers, 20(6):1100-1104.
29. Wischmeier, W. H. and D. D. Smith (1978). Predicting rainfall erosion losses. USDA Handbook No. 537, Washington, D. C., pp. 58.
30. Yifang, B., Paul, M. T., Philip, J. H., Brian, B. and J. B. Ron (1995). Improving the accuracy of synthetic aperture radar analysis for agricultural crop classification. Canadian Journal of Remote Sensing, 21(2):156-164.