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ARS Home » Plains Area » Las Cruces, New Mexico » Cotton Ginning Research » Research » Publications at this Location » Publication #286660
Title: Characterization of cotton gin particulate matter emissions-database development

Author
item CAROM, DANIELA - Oklahoma State University
item BUSER, MICHAEL - Oklahoma State University
item Whitelock, Derek
item Boykin Jr, James
item McConnell, Laura

Submitted to: ASABE Annual International Meeting
Publication Type: Abstract Only
Publication Acceptance Date: 7/31/2012
Publication Date: 7/31/2012
Citation: Carom, D.A., Buser, M.D., Whitelock, D.P., Boykin Jr, J.C., Mcconnell, L.L. 2012. Characterization of cotton gin particulate matter emissions-database development. ASABE Annual International Meeting. PRESENTATION ONLY- Paper No. 121336902.

Interpretive Summary:

Technical Abstract: In 2006, EPA implemented a more rigorous standard for PM2.5 in 2006 and all the cotton gins are or will be impacted by this standard. The primary issues associated with implementing this standard are: 1) very limited cotton gin PM2.5 data are available; 2) sampler errors, recent research indicates that current PM2.5 sampling methods could be over-estimating cotton gin PM2.5 emission concentrations by as much as 14 times; and 3) over-prediction of dispersion models, some studies in the literature suggest that these models could be over-predicting cotton gin boundary line concentrations by more than four times the actual concentrations. The cotton ginners’ associations across the cotton belt, including the National, Texas, Southern, Southeastern, and California associations, agreed to collaborate to collect additional gin emissions data that could be used fill the various PM2.5 data gaps that currently exist. A previous paper described how the data was collected and provided an overview of the database management for the project. This paper is an update of the database development and discusses issues like public accessibility, user interface, data compilation and further uses in model development and evaluation.