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United States Department of Agriculture

Agricultural Research Service

Research Project: MANAGEMENT OF AGRICULTURAL AND NATURAL RESOURCE SYSTEMS TO REDUCE ATMOSPHERIC EMISSIONS AND INCREASE RESILIENCE TO CLIMATE CHANGE Title: Emissions calculated from particulate matter and gaseous ammonia measurements from a commercial dairy in California, USA

Authors
item Moore, Kori -
item Marchant, Christian -
item Martin, Randy -
item Wojick, Michael -
item Young, Emyrei -
item Pfeiffer, Richard
item Prueger, John
item Hatfield, Jerry

Submitted to: Livestock Environment International Symposium Proceedings
Publication Type: Proceedings
Publication Acceptance Date: May 15, 2012
Publication Date: July 12, 2012
Citation: Moore, K., Marchant, C.C., Martin, R.S., Wojick, M.D., Young, E., Pfeiffer, R.L., Prueger, J.H., Hatfield, J.L. 2012. Emissions calculated from particulate matter and gaseous ammonia measurements from a commercial dairy in California, USA. In: Proceedings of the Livestock Environment International Symposium. International Conference on Agricultural Engineering, July 8-12, 2012, Valencia, Spain. CDROM.

Technical Abstract: Emission rates and factors for particulate matter (PM) and gaseous ammonia (NH3) were estimated from measurements taken at a dairy in California, USA in June 2008. Concentration measurements were made using both point and remote sensors. Filter-based PM samplers and OPCs characterized aerodynamic and optical properties, while a scanning elastic lidar measured particles around the facility. The lidar was calibrated to PM concentration using the point measurements. NH3 concentrations were measured using 23 passive samplers and 2 open-path Fourier transform infrared spectrometers (FTS). Emission rates and factors were estimated through both an inverse modeling technique using AERMOD coupled with measurements and a mass-balance approach applied to lidar PM data. Mean PM emission factors ± 95% confidence interval were 3.8 ± 3.2, 24.8 ± 14.5, and 75.9 ± 33.2 g/d/AU for PM2.5, PM10, and TSP, respectively, from inverse modeling and 1.3 ± 0.2, 15.1 ± 2.2, and 46.4 ± 7.0 g/d/AU for PM2.5, PM10, and TSP, respectively, from lidar data. Average daily NH3 emissions from the pens, liquid manure ponds, and the whole facility were 143.4 ± 162.0, 29.0 ± 74.7, and 172.4 ± 121.4 g/d/AU, respectively, based on the passive sampler data and 190.6 ± 55.8, 16.4 ± 8.4, and 207.1 ± 54.7 g/d/AU, respectively, based on FTS measurements. Liquid manure pond emissions averaged 5.4 ± 13.9 and 3.1 ± 1.6 g/m2/d based on passive sampler and FTS measurements, respectively. The calculated PM10 and NH3 emissions were of similar magnitude as those found in literature. Diurnal emission patterns were observed.

Last Modified: 7/30/2014
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