Journal of the Korean Geographical Society (대한지리학회지)

The Korean Geographical Society (대한지리학회)
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The Impacts of Biofuel Production on Water Quality and a Mitigation Methodology to Reduce the Impacts

바이오 연료 생산이 수질에 미치는 영향과 수질오염의 최소화 방안

  • Lee, Tae-Soo (Spatial Science Laboratory, Texas A&M University)
  • Received : 2011.01.28
  • Accepted : 2011.02.26
  • Published : 2011.02.28
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Abstract

Biofuel crops and their economical benefits have been recently researched as one of the alternative energy sources. Very few studies, however, have brought an issue about the impacts of the new cropping on environment, especially water quality. Because biofuel cropping requires more crop production with more fertilizers for cost-effectiveness, water quality near the new crops as well as downstream is expected to be degraded. In this study, the impacts of biofuel crop production on water quality was estimated by scenarios between pre-biofuel cropping and post-biofuel cropping using the previously calibrated SWAT (Soil and Water Assessment Tool) model in a watershed in Texas, USA. Then, 30 meter filter strips were implemented on each biofuel ropland as a mitigation method. The economical and agricultural aspect and requirements of biofuel cropping was also previously investigated. The on-site impacts estimation showed that biofuel cropping increased about 250% to 1,150% of Total Nitrogen and about 100% to 1,100% of Total Phosphorous annually. The off-site estimation at the reservoir (entire watershed outlet) showed the annual increase of 40 to 50% for both Total Nitrogen and Total Phosphorous. The on-site effectiveness of filter strips was from 58.0% to 67.9% reduction for Total Nitrogen and 57.7% to 68.2% reduction for Total Phosphorous. The filter strips reduced 28.5% of Total Nitrogen and 29.4% of Total Phosphorous at the watershed outlet.

대체에너지로써의 바이오 연료 작물과 그 경제성에 대한 연구가 최근 활발히 진행되고 있다. 하지만 이러한 새로운 작물의 생산에 따른 수질변화에 대한 연구는 거의 없는 실정이다. 바이오 연료 작물은 그 경제적 효율성 때문에 많은 양의 비료를 필요로 하므로 농경지 부근과 하류지역의 수질 오염이 예측된다. 이 논문에서는 바이오 연료 작물이 수질에 미치는 영향을 검정된 SWAT (Soil and Water Assessment Tool) 모델을 이용하여 작물의 전과 후의 시나리오로 예측하였다. 그리고 수질 악화를 줄이는 방안으로 30미터 넓이의 필터 스트립을 모델에서 시뮬레이션 하였다. 바이오 연료 작물 생산에 필요한 농경 일정은 이 전의 연구를 참고하였다. 모델 예측 결과, 농경지 주변에서는 연간 250-1,150%의 총질소가, 그리고 100-1, 100%의 총인이 각각 증가하였다. 유역의 유출구 (호수)에서는 연간 40-50%의 총질소와 총인이 증가하였다. 필터 스트립을 설치한 후 농경지 주변에서는 연간 58.0-67.9%의 총질소와 57.7-68.2%의 총인이 각각 감소하였으며 유출구에서는 연간 28.5%의 총질소와 29.4%의 총인이 각각 감소하였다.

Keywords

References

  1. Allen, P. M., Dunbar, J. A., Prochnow, S., and Zygo, L., 2006, Cedar Creek: Stream Erosion and Reservoir Volume Evaluation, Baylor University and SDI Inc, Waco, TX.
  2. 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 the American Water Resources Association, 34, 73-89. https://doi.org/10.1111/j.1752-1688.1998.tb05961.x
  3. Bracmort, K.S., Engel, B.A. and Frankenberger, J.R., 2004, Evaluation of structural best management practices 20 years after installation: Black Creek Watershed, Indiana, Journal of Soil and Water Conservation, 59(5), 659 - 667.
  4. Dabney, S. M., 1998, Cover crop impacts on watershed hydrology, Journal of Soil and Water Conservation, 53, 207 - 213.
  5. Dabney, S. M., Liua, Z., Lanec, M., Douglasc, J., Zhua, J., and Flanagan, D. C., 1999, Landscape benching from tillage erosion between grass hedges, Soil & Tillage Research, 51, 219 - 231. https://doi.org/10.1016/S0167-1987(99)00039-2
  6. Dabney, S. M., 2003, Erosion control, vegetative, in B. A. Stewart and T. A. Howell (ed.), Encyclopedia of Water Science, Marcel Dekker, New York, NY.
  7. Dunne, T. and Leopold, L. B., 1978, Water in Environment Planning, W. H. Freeman and Company.
  8. Energy Information Administration, 1993, State Energy Data Report. Consumption estimates, US Government Printing Office, Washington, D.C.
  9. Flanagan, D. C., Foster, G. R., Neibling, W. H., and Burt, J. P., 1989, Simplified equations for filter strip design, Transaction of American Society of Agricultural Engineers, 32, 2001 - 2007. https://doi.org/10.13031/2013.31254
  10. Foster, G. R., 1982, Modeling the erosion process, in Haan, C. T. (ed.), Hydrologic modeling of small watersheds. Ameircan Society of Agricultural Engineeing Monograph No. 5, St. Joseph, MI.
  11. Jin, C. X., Dabney, S. M., and Romkens, M.J., 2002, Trapped Mulch Increases Sediment Removal by Vegetative Filter Strips: a Flume Study, Transaction of American Society of Agricultural Engineers, 45, 929 - 939.
  12. Lee, T., Rister, M. E., Narasimhan, B., Srinivasan, R., Andrew, D., and Ernst, M.R., 2010, Evaluation and spatially distributed analyses of proposed cost-effective BMPs for reducing phosphorous level in Cedar Creek Reservoir, Texas, Transaction of American Society of Agricultural Engineers, 53, 1619 - 1627.
  13. Lee, T., Narasimhan, B., White, M., Wang, S., Tuppad, P., and Srinivasan, R., 2010, Trinity River Basin Environmental Restoration Initiative - Eagle Mountain Watershed, Tarrant Regional Water District, the Spatial Sciences Laboratory, and Texas AgriLife Research, Dallas, TX USA.
  14. Mclaughlin, W. A., 2010, The economic and financial implication of supplying a bioenergy conversion facility with Cellulosic biomass feedstocks, Unpublished Master Thesis, Texas A&M University, College Station, TX.
  15. Nash, J. E. and Sutcliffe, J. V., 1970, River flow forecasting through conceptual models: Part I - A discussion of principles, Journal of Hydrology, 10, 282 - 190. https://doi.org/10.1016/0022-1694(70)90255-6
  16. Neitsch, S. L., Arnold, J. G., Kiniry, J. R., Srinivasan, R., and Williams, J. R., 2005, Soil and Water Assessment Tool - Theoretical Document, Grassland, Soil and Water Research Laboratory, and Blackland Research Center, USDA-ARS, Temple, TX.
  17. Novotny, V. and H. Olem., 1994, Water Quality: Prevention, Identification, and Management of Diffuse Pollution, Van Nostrand Reinhold, New York, NY.
  18. Pushpa, T., Douglas-Mankin, K.R., McVay, K.A., 2010, Strategic targeting of cropland management using watershed modeling, Agricultural Engineering International: CIGR Journal, 12(3), 12 - 24.
  19. Renschler, S.C. and Lee, T., 2005, Spatially distributed assessment of short- and long-term impacts of multiple best management practices in agricultural watersheds, Journal of Soil and Water Conservation, 60(6), 546 - 556.
  20. Romkens, M. J. M., Prasad, S. N., and Whisler, F. D., 1990, Surface sealing and infiltration, in Anderson, M. G. and Burt, T. P. (ed.), Process studies in hillslope hydrology, John Wiley and Sons, Ltd.
  21. Syversen, N., Oygarden, L., and Salbu, B., 2001, Cesium-134 as a tracer to study particle transport processes within a small catchment with a buffer zone, Journal of Environmental Quality, 30, 1771 -1783. https://doi.org/10.2134/jeq2001.3051771x
  22. Thompson, A. M., Wilson, B. N., and Hansen, B. J., 2004, Shear stress partitioning for idealized vegetated surfaces, Transactions of American Society of Agricultural Engineers, 47, 701 - 709. https://doi.org/10.13031/2013.16102
  23. Tomlin, A. D., Shipitalo, M. J., Edwards, W. M., and Protz, R., 1995, Earthworms and their influence on soil structure and infiltration, in Hendrix, P.F.(ed.), Earthworm Ecology and Biogeography in North America, Lewis Publication, Boca Raton, FL.
  24. TWDB, 2008, Volumetric and sedimentation survey of Eagle Mountain Lake, Texas Water Development Board Report, Austin, TX.
  25. USDA-NRCS, 1999, National Handbook of Conservation Practices, The US Department of Agriculture - Natural Resources Conservation Service, Washington, DC.
  26. Virtus Energy Research Associates, 1995, Texas renewable energy resource assessment: Survey, Overview & Recommendations, Report for the Texas Sustainable Energy Development Council, Austin, TX.