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dc.contributor.supervisor Zhang, Qiang (Biosystems Engineering) en
dc.contributor.author Zhou, Xiaojing
dc.date.accessioned 2011-01-19T22:34:14Z
dc.date.available 2011-01-19T22:34:14Z
dc.date.issued 2011-01-19T22:34:14Z
dc.identifier.citation Zhang, Q., X. J. Zhou, N. Cicek, and M. Tenuta. 2007. Measurement of odour and greenhouse gas emissions in two swine farrowing operations. Canadian Biosystems Engineering 49:6.13-6.20. en
dc.identifier.citation Guo, H., Y. Li, Q. Zhang, and X. Zhou. 2006. Comparison of four setback models with field odour plume measurement by trained odour sniffers. Canadian Biosystems Engineering 48:6.39-6.48. en
dc.identifier.citation Zhou, X, Q. Zhang, and H. Guo. 2005. Measuring odor plumes in two swine farrowing operations. Paper No 054042, Am. Soc. Agric. Eng., St. Joseph, MI. 15 pp. en
dc.identifier.citation Zhou, X, Q. Zhang, H. Guo, and Y. Li. 2005. Evaluation of air dispersion models for livestock odour application. Paper No. 05-026. Annual Meeting of CSBE-SCGAB (Can. Soc. Bioengineering). 11 pp. en
dc.identifier.citation Zhou, X, Q. Zhang, N. Cicek, and R. York. 2004. Quantification of odor dispersion by human sniffers. Paper No 044197, Am. Soc. Agric. Eng., St. Joseph, MI. 9 pp. en
dc.identifier.uri http://hdl.handle.net/1993/4382
dc.description.abstract Odour emissions and instantaneous downwind odour plumes were measured on two 3000-sow swine farrowing farms located in a flat area of southern Manitoba, one farm (Farm A) with open earthen manure storage (EMS) and another (Farm B) with negative air pressure (NAP) covered EMS. Three commonly used dispersion models (ISCST3, AUSPLUME, and INPUFF-2) were used to predict downwind odour distributions on the two farms. Dispersion predictions were based on the measured odour emission data for each farm and on-site weather data recorded by a portable weather station. The peak-to-mean ratios of downwind odour intensity were computed from field odour intensity measurements and analysed against averaging time, downwind distance, and atmosphere stability class. It was found that the average odour emission rate from the negative pressure covered earthen manure storage (NAP EMS) was negligible in comparison with the open EMS (0.3 vs 20.3 OU/ s-m2). Downwind odour intensity measured by trained human sniffers on Farm A with covered manure storage was significantly (P<0.05) lower than that on Farm B with open manure storage at 100 and 500 m, but the difference in odour intensity at 1000 m was not significant (P>0.05) between the two farms. A 46% difference in odour emission rate between Farms A and B resulted in a 14% difference in the separation distance for odour annoyance-free between the two farms. When three commonly used dispersion models, namely AUSPLUME, ISCST3, and INPUFF-2, were used to predict downwind odour from the farms, the percentage of agreement between model predictions and field measurements was adequate for downwind distances of 500 and 1000 m, but relatively low for 100 m for all three models. Since the long-distance (>1000 m) predictions are of more practical value, all three models were considered to be adequate in predicting odour downwind from the swine operations. The peak-to-mean ratios of downwind odour intensity were computed from field odour intensity measurements and analysed against averaging time, downwind distance, and atmospheric stability class. The peak-to-mean ratio of field odour intensity increases with averaging time and downwind distance, and unstable atmospheric conditions. en
dc.format.extent 3208914 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.rights info:eu-repo/semantics/openAccess
dc.subject swine en
dc.subject odour en
dc.subject emission en
dc.subject dispersion en
dc.title Emission and dispersion of odour from swine operations en
dc.type info:eu-repo/semantics/doctoralThesis
dc.degree.discipline Biosystems Engineering en
dc.contributor.examiningcommittee Mann, Danny (Biosystems Engineering) Gorczyca, Beata (Civil Engineering) Lemay, Stéphane (The Research and Development Institute for the Agri-Environment (IRDA)) en
dc.degree.level Doctor of Philosophy (Ph.D.) en
dc.description.note February 2011 en


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