Biofuels and water quality: challenges and opportunities for simulation modeling

• US Congress Senate. Energy Independence and Security Act of 2007. HR 6. 110th Congress. 1st session. December 2007.
   Google Scholar
• Gopalakrishnan G, Negri MC, Wang M, Wu M, Snyder SW, Lafreniere L. Biofuels, land, and water: a systems approach to sustainability. Environ. Sci. Technol.43(15),6094–6100. (2009).
   PubMed Web of Science ®Google Scholar
• Thomas MA, Engel BA, Chaubey I. Water quality impacts of corn production to meet biofuel demands. ASCE J. Environ. Eng.135(11),1123–1135 (2009).
   Google Scholar
• Cruse RM, Herndl CG. Balancing corn stover harvest for biofuels with soil and water conservation. J. Soil Water Conservation64(4),286–291 (2009).
   Web of Science ®Google Scholar
• Blanco-Canqui H, Lal R, Post WM, Izaurralde RC, Owens LB. Corn stover impacts on near-surface soil properties of no-till corn in Ohio. Soil Science Soc. Am. J.70(1),266–278 (2006).
   Web of Science ®Google Scholar
• Graham RL, Nelson R, Sheehan J, Perlack RD, Wright LL. Current and potential US corn stover supplies. Agronomy J.99(1),1–11 (2007).
   Web of Science ®Google Scholar
• Lavigne A, Powers SE. Evaluating fuel ethanol feedstocks from energy policy perspective: a comparative energy assessment of corn and corn stover. Energy Policy35(11),5918–5930 (2007).
   Web of Science ®Google Scholar
• USDA-NRCS. Crop residue removal for biomass energy production: effects on soils and recommendations. In: Soil Quality: Agronomy Technical Note No. 19. Soil Quality National Technology Development Team, US Department of Agriculture, Natural Resources Conservation Services. Greensboro, NC, USA, 27401 (2006).
   Google Scholar
• Landis DA, Gardiner MM, van der Werf W, Swinton SM. Increasing corn for biofuel production reduces biocontrol services in agricultural landscapes. Proc. Natl Acad. Sci. USA105(51),20552–20557 (2008).
   PubMed Web of Science ®Google Scholar
• Leonard RA, Knisel WG, Still DA. GLEAMS: groundwater loading effects of agricultural management systems. Transact. ASAE30(5),1403–1417 (1987).
   Google Scholar
• Lim KJ, Engel BA. Extension and enhancement of national agricultural pesticide risk analysis (NAPRA) WWW decision support system to include nutrients. Computers Electronics Agriculture38(3),227–236 (2003).
   Google Scholar
• Bagdon JK, Plotkin S, Hesketh ES. NAPRA Technology Transfer Overview: Introduction. USDA, Washington, DC, USA (1994).
   Google Scholar
• Izaurralde RC, Williams JR, McGill WB, Rosenberg NJ, Jakas MCQ. Simulating soil C dynamics with EPIC: model description and testing against long-term data. Ecological Modelling192(3–4),362–384 (2006).
   Web of Science ®Google Scholar
• Williams JR, Amold JG, Srinivasan R. The APEX model. BRC Report 00-06. Temp. Blackland Research Center, TX, USA (2000).
   Google Scholar
• Arnold JG, Srinivasan R, Muttiah RS, Williams JR. Large area hydrologic modeling and assessment – part 1: model development. J. Am. Water Res. Assoc.34(1),73–89 (1998).
   Web of Science ®Google Scholar
• Parton WJ, Scurlock JMO, Ojima DS et al. Observations and modeling of biomass and soil organic-matter dynamics for the grassland biome worldwide. Global Biogeochemical Cycles7(4),785–809 (1993).
   Web of Science ®Google Scholar
• Costello C, Griffin WM, Landis AE, Matthews HS. Impact of biofuel crop production on the formation of hypoxia in the Gulf of Mexico. Environ. Sci. Technol.43(20),7985–7991 (2009).
   PubMed Web of Science ®Google Scholar
• Migliaccio KW, Srivastava P. Hydrologic components of watershed-scale models. Transact. ASABE50(5),1695–1703 (2007).
   Google Scholar
• Borah DK, Bera M. Watershed-scale hydrologic and nonpoint-source pollution models: review of mathematical bases. Transact. ASABE46(6),1553–1566 (2003).
   Google Scholar
• Srivastava P, Migliaccio KW, Simunek J. Landscape models for simulating water quality at point, field, and watershed scales. Transact. ASABE50(5),1683–1693 (2007).
   Google Scholar
• Engel B, Storm D, White M, Arnold J, Arabi M. A hydrologic/water quality model application protocol. J. Am. Water Res. Assoc.43(5),1223–1236 (2007).
   Google Scholar
• Woolhiser DA, Brakensiek DL. Hydrologic system synthesis. In: Hydrologic Modeling of Small Watersheds (ASAE Monograph No. 5). Haan, CT, Johnson, HP, Brakensiek, DL (Eds.) St. Joseph Mich, ASAE, 3–16 (1982).
   Google Scholar
• Williams JR, LaSeur WV. Water yield model using SCS curve numbers. J. Hydraulics Division102(9),1241–1253 (1976).
   Web of Science ®Google Scholar
• Knisel WG, Leonard R, Davis FM, Sheridan JM. Water balance components in the Georgia Coastal Plain: a GLEAMS model validation and simulation. J. Soil Water Conservation46(6),450–456 (1991).
   Web of Science ®Google Scholar
• Williams JR. The erosion–productivity impact calculator (EPIC) model: a case history. Philosophical Transactions: Biol. Sci.329(1255),421–428 (1990).
   Web of Science ®Google Scholar
• Gassman PW, Williams JR, Benson VW et al. Historical development and applications of the EPIC and APEX models. Working Paper 05-WP 397. Center for Agricultural and Rural Development, Iowa State University, Ames, IA, USA, 50011–51070 (2004).
   Google Scholar
• Secchi S, Gassman PW, Williams JR, Babcock BA. Corn-based ethanol production and environmental quality: a case of Iowa and the conservation reserve program. Environ. Management44(4),732–744 (2009).
   PubMed Web of Science ®Google Scholar
• Williams JR, Arnold JG, Kiniry JR, Gassman PW, Green CH. History of model development at Temple, Texas. Hydrological Sci. J.53(5),948–960 (2008).
   Web of Science ®Google Scholar
• Knisel WG. CREAMS: a field-scale model for chemicals, runoff, and erosion from agricultural management systems. Conservation Research Report 26. Washington, DC, USA (1980).
   Google Scholar
• Williams JR, Arnold JG, Srinivasan R, Ramanarayanan TS. APEX: a new tool for predicting the effects of climate and CO2 changes on erosion and water quality. Presented at: NATO Advanced Research Workshop on Global Change – Modelling Soil Erosion by Water. Oxford, UK, 11–14 September 1995.
   Google Scholar
• Powers SE, Ascough LA, Nelson RG. Soil and water quality implications associated with corn stover removal and herbaceous energy crop production in Iowa (paper number: 083916). Presented at: 2008 ASABE Annual International Meeting. Providence, RI, USA. 29 June–2 July 2008.
   Google Scholar
• Neitsch SL, Arnold JG, Kiniry JR, Srinivasan R, Williams JR. Soil and Water Assessment Tool User’s Manual, Version 2000. GSWRL Report 02–02; BRC Report 02–06; TR-192. College Station, Texas Water Resources Institute, TX, USA (2002).
   Google Scholar
• Gu RR, Sahu M. Assessing the impact of contour strips of perennial grass with biofuel potentials on aquatic environment. World Acad. Sci. Eng. Technol.54 (2009).
   Google Scholar
• Babcock BA, Gassman PW, Jha MJ, Kling CL. Adoption subsidies and environmental impacts of alternative energy crops. Center for Agricultural and Rural Development (CARD). Briefing Paper 07-BP 50. Iowa State University, Ames, IA, USA, 50011–51070 (2007).
   Google Scholar
• Gassman PW, Secchi S, Jha M. Assessment of bioenergy-related scenarios for the Boone River Watershed in North Central Iowa. Presented at: 21st Century Watershed Technology: Improving Water Quality and Environment Conference. Concepcion, Chile, 29 March–3 April 2008.
   Google Scholar
• Geza M, Barfield BJ, Huhnke RL. Modeling economic and environmental impacts of landuse change in the Fort Cobb Basin (paper 042001). Presented at: 2004 ASAE/CSAE Annual International Meeting. Ottawa, Ontario, Canada, 1–4 August 2004.
   Google Scholar
• Nelson RG, Ascough JC, Langemeier MR. Environmental and economic analysis of switchgrass production for water quality improvement in northeast Kansas. J. Environ. Management79(4),336–347 (2006).
   PubMedGoogle Scholar
• Sarkar S. Modeling nitrogen loss from regional switchgrass agriculture. MS Thesis, Clemson University, Department of Environmental Engineering and Earth Sciences, Clemson, SC, USA (2009).
   Google Scholar
• Renard KG, Foster GR, Weesies GA, Porter JP. RUSLE – revised universal soil loss equation. J. Soil Water Conservation46(1),30–33 (1991).
   Web of Science ®Google Scholar
• Knisel WG, Davis FM. GLEAMS version 3.0 user manual. SEWRL-WGK/FMD-050199. University of Georgia, Coastal Plain Experiment Station, GA, USA (1999).
   Google Scholar
• Heaton EA, Dohleman FG, Long SP. Meeting US biofuel goals with less land: the potential of Miscanthus. Global Change Biology14(9),2000–2014 (2008).
   Web of Science ®Google Scholar
• White KL, Chaubey I. Sensitivity analysis, calibration, and validation for a multi-site and multi-variable SWAT model. J. Am. Water Res. Assoc.41(5),1077–1086 (2005).
   Web of Science ®Google Scholar
• Parrish D, Fike J, Bransby D, Samson R. Establishing and managing switchgrass as an energy crop. Plant Management Network.8,13 (2008).
   Google Scholar
• Green TH, Brown GF, Bingham L et al. Environmental impacts of conversion of cropland to biomass production. Presented at: 1996 – The Seventh National Bioenergy Conference: Partnerships to Develop and Apply Biomass Technologies. Nashville, TN, USA 15–20 September 1996.
   Google Scholar
• Dominguez-Faus R, Powers SE, Burken JG, Alvarez PJ. The water footprint of biofuels: a drink or drive issue? Environ. Sci. Technol.43(9),3005–3010 (2009).
   PubMed Web of Science ®Google Scholar
• Lemus R, Parrish D. Herbaceous crops with potential for biofuel production in the USA. CAB Reviews: Perspectives in Agriculture, Veterinary Science, Nutrition and Natural Resources4(57),1–23 (2009).
   Google Scholar
• Kiniry JR, Sanderson MA, Williams JR et al. Simulating Alamo switchgrass with the ALMANAC model. Agronomy J.88(4),602–606 (1996).
   Web of Science ®Google Scholar
• Kiniry JR, Burson BL, Evers GW et al. Coastal bermudagrass, bahiagrass, and native range simulation at diverse sites in Texas. Agronomy J.99(2),450–461 (2007).
   Google Scholar
• Kiniry JR, Schmer MR, Vogel KP, Mitchell RB. Switchgrass biomass simulation at diverse sites in the northern Great Plains of the US. BioEnergy Res.1(3),259–264 (2008).
   Google Scholar
• Kiniry JR, Tischler CR, Van Esbroeck GA. Radiation use efficiency and leaf CO2 exchange for diverse C-4 grasses. Biomass Bioenergy17(2),95–112 (1999).
   Web of Science ®Google Scholar
• Grassini P, Hunt E, Mitchell RB, Weiss A. Simulating switchgrass growth and development under potential and water-limiting conditions. Agronomy J.101(3),564–571 (2009).
   Google Scholar
• Tahiri AZ, Anyoji H, Yasuda H. Fixed and variable light extinction coefficients for estimating plant transpiration and soil evaporation under irrigated maize. Agricultural Water Management84(1–2),186–192 (2006).
   Google Scholar
• Krysanova V, Arnold JG. Advances in ecohydrological modelling with SWAT – a review. Hydrological Sci. J.53(5),939–947 (2008).
   Web of Science ®Google Scholar
• MacDonald D, Kiniry J, Arnold J et al. Developing parameters to simulate trees with SWAT. Presented at: Proceedings of the 3rd International SWAT Conference. Zurich, Switzerland, 11–15 July 2005.
   Google Scholar
• Ouyang W, Hao FH, Wang XL, Cheng HG. Nonpoint source pollution responses simulation for conversion cropland to forest in mountains by SWAT in China. Environ. Management41(1),79–89 (2008).
   PubMed Web of Science ®Google Scholar
• Amatya DM, Haley EB, Levine NS, Callahan TJ, Radecki-Pawlik A, Jha MK. Calibration and validation of the SWAT model for a forested watershed in coastal South Carolina (paper 083912). Presented at: 2008 ASABE Annual International Meeting. Providence, Rhode Island, RI, USA, 29 June–2 July 2008.
   Google Scholar
• Watson BM, McKeown RA, Putz G, MacDonald JD. Modification of SWAT for modelling streamflow from forested watersheds on the Canadian Boreal Plain. J. Environ. Eng. Sci.7(S1),145–159 (2008).
   Google Scholar
• Nyakatawa EZ, Mays DA, Tolbert VR, Green TH, Bingham L. Runoff, sediment, nitrogen and phosphorus losses from agricultural land converted to sweetgum and switchgrass bioenergy feedstock production in north Alabama. Biomass Bioenergy30(7),655–664 (2006).
   Google Scholar
• Thornton FC, Joslin JD, Bock BR et al. Environmental effects of growing woody crops on agricultural land: first year effects on erosion, and water quality. Biomass Bioenergy15(1),57–69 (1998).
   Google Scholar
• Tolbert VR, Thornton FC, Joslin JD et al. Soil and water quality aspects of herbaceous and woody energy crop production: lessons from research-scale comparisons with agricultural crops. Presented at: Proceedings of BioEnergy 1998: Expanding Bioenergy Partnerships. Madison, Wisconsin, 4–8 October 1998.
   Google Scholar
• Tolbert VR, Wright LL. Environmental enhancement of US biomass crop technologies: research results to date. Biomass Bioenergy15(1),93–100 (1998).
   Web of Science ®Google Scholar
• Chaubey I, Edwards DR, Daniel TC, Moore PA, Nichols DJ. Effectiveness of vegetative filter strips in retaining surface-applied swine manure constituents. Transactions ASAE37(3),845 (1994).
   Google Scholar
• Bouwman AF. Direct emission of nitrous oxide from agricultural soils. Nutr. Cycl. Agroecosys.46(1),53–70 (1996).
   Web of Science ®Google Scholar
• Carpenter S, Caraco N, Correll D, Howarth R, Sharpley A, Smith V. Nonpoint pollution of surface waters with phosphorus and nitrogen. Ecological Applications8(3),559–568 (1998).
   Web of Science ®Google Scholar
• Mosier A, Kroeze C, Nevison C, Oenema O, Seitzinger S, van Cleemput O. Closing the global N2O budget: nitrous oxide emissions through the agricultural nitrogen cycle – OECD/IPCC/IEA phase II development of IPCC guidelines for national greenhouse gas inventory methodology. Nutr. Cycl. Agroecosys.52(2–3),225–248 (1998).
   Web of Science ®Google Scholar
• Bhaduri B, Harbor J, Engel B, Grove M. Assessing watershed-scale, long-term hydrologic impacts of land-use change using a GIS-NPS model. Environ. Manage.26(6),643–658 (2000).
   PubMed Web of Science ®Google Scholar
• Di Luzio M, Srinivasan R, Arnold J, USDA A. A GIS-coupled hydrological model system for the watershed assessment of agricultural nonpoint and point sources of pollution. Trans. GIS8(1),113–136 (2004).
   Google Scholar
• Steiner JL, Sadler EJ, Chen JS et al. Sustaining the earth’s watersheds-agricultural research data system: overview of development and challenges. J. Soil Water Conservation63(6),569–576 (2008).
   Google Scholar
• Huang F, Liu DS, Liu P et al. Research on cluster-based parallel GIS with the example of parallelization on GRASS GIS. Proc. IEEE Sixth International Conference on Grid and Cooperative Computing642–649 (2007).
   Google Scholar
• Sorokine A. Implementation of a parallel high-performance visualization technique in GRASS GIS. Computers Geosciences33(5),685–695 (2007).
   Google Scholar
• Whittaker G. Use of a Beowulf cluster for estimation of risk using SWAT. Agronomy J.96(5),1495–1497 (2004).
   Google Scholar
• Engel BA, Choi JY, Harbor J, Pandey S. Web-based DSS for hydrologic impact evaluation of small watershed land use changes. Computers Electronics Agriculture39,241 (2003).
   Web of Science ®Google Scholar
• Brechbill SC, Tyner WE. The economics of biomass collection, transportation, and supply to Indiana cellulosic and electric utility facilities. Working paper #08-03. Department of Agricultural Economics. Purdue University. West Lafayette, IN, USA, 47907–42056 (2008).
   Google Scholar
• Kim S, Dale BE. Global potential bioethanol production from wasted crops and crop residues. Biomass Bioenergy26(4),361–375 (2004).
   Web of Science ®Google Scholar
• Brechbill SC, Tyner WE. The economics of renewable energy: corn stover and switchgrass. BioEnergy: Fueling America Through Renewable Resources. Purdue Extension, ID-404-W, IN, USA (2008).
   Google Scholar
• Ochoa-Acuña HG, Bialkowski W, Yale G, Hahn L. Toxicity of soybean rust fungicides to freshwater algae and Daphnia magna. Ecotoxicology18(4),440–446 (2009).
   PubMedGoogle Scholar

▪ Website

• SWAT literature database for peer-reviewed journal articles. Center for Agricultural and Rural Development (CARD), Iowa State University. Ames, IA, USA (2010) www.card.iastate.edu/swat_articles
   Google Scholar