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Title:   Author  item
                                            HUANG, Q - University Of Marylanditem
                                            McConnell, Lauraitem
                                            RAZOTE, E - Kansas State Universityitem
                                            Schmidt, Walteritem
                                            Vinyard, Bryanitem
                                            TORRENTS, A - University Of Marylanditem
                                            Hapeman, Cathleenitem
                                            MAGHIRANG, R - Kansas State Universityitem
                                            Trabue, Steven

                                                         - *Steve*
  Submitted to: Meeting Abstract
                                    Publication Type: Abstract Only
                                    Publication Acceptance Date: 8/23/2012
                                    Publication  Date: 8/23/2012
                                    Citation: Huang, Q., Mcconnell, L.L., Razote, E., Schmidt, W.F., Vinyard, B.T., Torrents, A., Hapeman, C.J., Maghirang, R., Trabue, S.L. 2012. Developing novel approaches to characterize emissions from agricultural operations. [abstract].Interpretive Summary:
                                Technical Abstract: Large-scale animal feeding operations (AFOs) are sources of both gaseous and particulate pollutants to the atmosphere.  Current efforts to characterize particulate matter (PM) emissions from AFOs do not provide information on the emission sources.  Raman microscopy was employed to characterize the distribution of sources present in PM10 emitted from a large cattle feedlot.  Spectra from potential source materials were compiled to create a spectral library.  A multivariate statistical analysis approach was developed to identify the source of particles collected on PM10 sample filters.  Source characterization results from samples collected at a cattle feedlot over a typical summer two-day period indicates that materials from the cattle pen surface contributed more than 50% of the total PM10 particles captured, followed by unpaved roads at approximately 20% and then feed materials.  Results indicate this approach could be used in a number of different agricultural emission characterization scenarios.


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