263-1 Climatalogical Impacts of Biofuel Production.

See more from this Division: A03 Agroclimatology & Agronomic Modeling
See more from this Session: Agroclimatology & Agronomic Modeling: I/Div. A03 Business Meeting
Wednesday, November 3, 2010: 8:30 AM
Long Beach Convention Center, Room 103A, First Floor
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Brian Gelder, Robert Anex, Chris Anderson, Raymond Arritt, Philip Gassman, Manoj Jha and Daryl Herzmann, Iowa State University, Ames, IA
The Energy Independence and Security Act (EISA) of 2007 mandates increased production of biofuels to reduce dependency on foreign energy and increase energy sustainability. Production of the large quantities of biofuels mandated by EISA will require the conversion of millions of acres to biofuel production, potentially changing the regional climate. To investigate the effects of such a change we modeled the effects of using switchgrass production to meet the 2022 mandate for advanced biofuels. Climatology was modeling using WRF, the Weather Research and Forecasting model, with the 1979-2004 North American Regional Reanalysis (NARR) and 1992-1993 NOAH land cover used as a baseline. To simulate biofuel production, county switchgrass acreage estimates for 2022 were drawn from the  POLYSYS model and used to alter NOAH land cover. The WRF model output was then used to drive the Iowa Daily Erosion Project and an Upper Mississippi River Basin SWAT models to estimate environmental impacts. Most switchgrass production is predicted to occur in Oklahoma and Kansas, where an increase in evapotranspiration is predicted to drive a slight increase in storm intensity and total precipitation in the Midwest. Relatively little switchgrass is expected to be produced in the Upper Mississippi River Basin, resulting in similar estimates for water quality, water quantity, and soil erosion under the baseline and switchgrass production scenarios for most of the basin, however the southern regions of the basin did show a small signal.
See more from this Division: A03 Agroclimatology & Agronomic Modeling
See more from this Session: Agroclimatology & Agronomic Modeling: I/Div. A03 Business Meeting