Uncertainty analysis in animal building aerial emissions measurements

R. S. Gates, K. D. Casey, H. Xin, R. T. Burns, H. Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Analysis of the propagation of measurement error into a computed quantity such as building aerial emissions provides insight into which measurements should be improved. An analysis of different instrument measurements, sampling period, and different sites all together comprise an objective means of determining optimal sampling strategies. This paper describes the measurement system uncertainty analysis useful for emissions research, and how it can lead to design and project improvements to obtain emissions estimates with statistical confidence. This study is an analysis of the Kentucky broiler house study as part of the US EPA Air Consent Agreement, andwas used to develop a category I Quality Assurance Project Plan. Results of the analysis suggest that the standard uncertainty in ammonia emission from broiler houses in the study was typically under 10%, and increased with uncertainty in ventilation rate, but decreased as ventilation rate increased. The uncertainty is quantified for normal conditions and for conditions in which the instrumentation is at the calibration threshold.

Original languageEnglish (US)
Title of host publicationLivestock Environment VIII - Proceedings of the 8th International Symposium
Pages223-228
Number of pages6
StatePublished - 2008
Externally publishedYes
Event8th International Livestock Environment Symposium, ILES VIII - Iguassu Falls, Brazil
Duration: Aug 31 2008Sep 4 2008

Publication series

NameLivestock Environment VIII - Proceedings of the 8th International Symposium

Other

Other8th International Livestock Environment Symposium, ILES VIII
Country/TerritoryBrazil
CityIguassu Falls
Period8/31/089/4/08

Keywords

  • Ammonia
  • Component error analysis
  • Emission
  • Instrumentation

ASJC Scopus subject areas

  • Agricultural and Biological Sciences (miscellaneous)
  • Animal Science and Zoology

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