Commenced in January 2007
Paper Count: 32127
Assessing the Impact of Contour Strips of Perennial Grass with Bio-fuel Potentials on Aquatic Environment
Abstract:The use of contour strips of perennial vegetation with bio-fuel potential can improve surface water quality by reducing NO3-N and sediment outflow from cropland to surface water-bodies. It also has economic benefits of producing ethanol. In this study, The Soil and Water Assessment Tool (SWAT) model was applied to a watershed in Iowa, USA to examine the effectiveness of contour strips of switch grass in reducing the NO3-N outflows from crop fields to rivers or lakes. Numerical experiments were conducted to identify potential subbasins in the watershed that have high water quality impact, and to examine the effects of strip size on NO3-N reduction under various meteorological conditions, i.e. dry, average and wet years. Useful information was obtained for the evaluation of economic feasibility of growing switch grass for bio-fuel in contour strips. The results can assist in cost-benefit analysis and decisionmaking in best management practices for environmental protection.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1079106Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1403
 Humenik, F.J., Smolen, M.D. and Dressing, S.A., 1987. Pollution from non-point sources. Environmental Science and Technology, 21, 737-742.
 Burgoa, B. and Wauchope, R.D., 1995. Environmental behavior of agrochemicals. John Willey and Sons, New York, 223-349.
 U.S. Environmental Protection Agency, 1992. The national water quality inventory. The 1992 report to Congress. USEPA, Washington, DC.
 Mitsch, W.J., Day, J., Gilliam, J., Goffman, P., Hey, D., Randall, G. and Wang, N., 2001. Reducing nitrogen loading to the Gulf of Mexico from the Mississippi River Basin: Strategies to counter a persistent ecological problem. BiosScience, 51(5), 373-387.
 Arnold, J.G., Williams, J.R., and Maidment, D.R., 1995. Continuous ¶Çé▒ Time Water and Sediment-Routing Model for Large Basins. Journal of Hydraulic Engineering, 121(2), 171-183.
 Arnold, J.G. and Allen, P.M., 1996. Estimating hydrologic budgets for three Illinois watersheds. Journal of Hydrology, 176, 57-77.
 Srinivasan, R., Ramanarayanan, T.S., Arnold, J.G. and Bednarz, S.T., 1998. Large area hydrologic modeling and assessment. Part II: Model application. Journal of American Water Resources Association, 34(1), 91-102.
 Arnold, J.G., Srinivasan, R., Muttiah, R.S. and Williams, J.R., 1998. Large Area Hydrologic Modeling and Assessment Part I: Model Development. Journal of American Water Resources Association, 34(1), 73-89.
 Saleh, A., Arnold, J.G., Gassman, P.W., Hauck, L.W., Rosenthal, W.D., Williams, J.R., and McFarland, A.M.S., 2000. Application of SWAT for the upper north Bosque watershed. Transactions of ASAE, 43(5), 1077-1087.
 Santhi, C., Arnold, J.G., Williams, J.R., Dugas, W.A. and Hauck, L., 2001. Validation of the SWAT model on a large river basin with point and nonpoint sources. Journal of the American Water Resources Association, 37(5), 1169-1188.
 Jha, M., Pan, Z., Takle, E.S. and Gu, R., 2004. Impacts of climate change on stream flow in the Upper Mississippi River Basin: A regional climate model perspective. Journal of Geophysical Research, 109, D09105, doi: 10.1029/2003JD003686.
 Neitsch, S.L., Arnold, J.G., Kiniry, J.R., Srinivasan, R., Williams, J.R., 2002. Soil and water assessment tool, ¶ÇÇ©¶Çüû¶Çüê¶Çüò¶ÇéÂ¶Çüû¶ÇÇâ ¶ÇüÉ¶Çüä¶Çüæ¶Çüÿ¶Çüä¶ÇüÅ¶ÇÇæ¶ÇÇâ ¶ÇÇÀ¶Çüê¶Çüø¶Çüä¶Çüû¶ÇÇâ ¶ÇüÜ¶Çüä¶Çüù¶Çüê¶Çüò¶ÇÇâ ¶Çüò¶Çüê¶Çüû¶ÇüÆ¶Çüÿ¶Çüò¶Çüå¶Çüê¶Çüû¶ÇÇâ ¶Çüî¶Çüæ¶Çüû¶Çüù¶Çüî¶Çüù¶Çüÿ¶Çüù¶Çüê¶ÇÇÅ¶ÇÇâ ¶ÇÇª¶ÇüÆ¶ÇüÅ¶ÇüÅ¶Çüê¶Çüè¶Çüê¶ÇÇâ Station, Texas, TWRI Report TR-192.
 Hatfield, J.L., Jaynes, D.D., Burkhart, M.R., Cambardella, C.A., Moorman, T.B., Prueger, J.H. and Smith, M.A., 1999. Water Quality in Walnut Creek Watershed: Setting and Farming Practices. Journal of Environmental Quality, 28, 11-24.
 Duan, Q., Gupta, V.K. and Sorooshian, S., 1992. Effective and efficient global minimization for conceptual rainfall-runoff models. Water Resources Research, 28, 1015-1031.
 Eckhardt, K., Arnold, J.G., 2001. Automatic calibration of a distributed catchment model. Journal of Hydrology, 251, 103-109.
 van Griensven, A., Francos, A. and Bauwens, W., 2002. Sensitivity analysis and auto-calibration of an integral dynamic model for river water quality. Water Science and Technology, 45(5), 321-328.
 Dillaha, T.A., Sherrard, J.H. and Lee, D., 1989. Longterm effectiveness of vegetative filter strips. Water Environment and Technology, 1, 418-421.