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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

Location: Soil, Water & Air Resources Research

Title: Emissions calculated from particulate matter and gaseous ammonia measurements from a commercial dairy in California, USA)

Author
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: 5/15/2012
Publication Date: 7/12/2012
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.

Interpretive Summary:

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: 8/24/2016
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