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Szczecin University of Technology Laboratory for Odour Quality of the Air. Determining odour emission factor from unorganized sources. Jacek Zdyb. in frames of a master thesis executed under direction of prof. dr hab. inż. Joanny Kośmider. Table of contents.
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Szczecin University of Technology Laboratory for Odour Quality of the Air Determining odour emission factor from unorganized sources Jacek Zdyb in frames of a master thesis executed under direction of prof. dr hab. inż. Joanny Kośmider
Table ofcontents • The subject of the master thesis, its aim and scope • Introduction 3. Methodology of calculation the emission factor 3.1. Carrying out the field research 3.2. Analysis of the results 3.3. Determining the emission factor • Results 5. Summary
1. The subject of the master thesis, its aim and scope The subject of my thesis is determining the annoyance of a mink farmusing the estimated emission factors obtained by field research of ground concentration. The aim of this research is to improve a method of determining the emission factor for an area unit from unorganized sources, e.g.: MSW landfills, animal farms, sewage treatment plant or compost deposits. The scope of this study includes: - participation in the field research on intensity of the odour - analysis of the obtained data - number of odour units calculation - determination of the emission factor considering the calculated values and taking into accountterrain and weather conditions.
2. Introduction TheEN 13725, „ Air quality – Determination of odour concentration by dynamic olfactometry” binding from 2003, defines well only the method of determining emission factor from organized point sources. In case of determining emission factor from unorganized sources, it is recommended to conduct research on determining methods as soon as possible.
2. Introduction Therefore the following relation is assumed: In the field research 60 minutes – the usual interval of time used to mark the odour unit number - is not reliable due to changeability of conditions. For that reason 5 seconds was considered the optimal interval of time within which averagely 2 or 3 inhales are made. That is why the following conversion factor was used:
3. Methodology of calculation the emission factor Localization and surroundings of the minks farm 3. 1 Carrying out the field research The farm is located in an immediate vicinity of a small village, wood and meadow. The basic herd was 4.5 thousand minks, and the full herd as many as 33 thousand. The measurements were carried out during the whole breeding cycle on a full herd and were conducted from June to November.
Arrangement of an odour panel (5 people: a, b, c, d, e) in terrain: 3. Methodology of calculation the emission factor 3. 1. Carrying out the field research
One measurement took 5 minutes. This period was divided into 15 second stages, during which the group of 5 evaluated the intensity of the odour. Each of the researchers noted systematically their results on the introduced sheet designed to evaluate the intensity of the odour, as presented on the present slide. Date and hour of the measurement were noted down, as well as number of the measuring spot. Additionally, one’s position oriented by the farm was also registered. 3. Methodology of calculation the emission factor 3. 1. Carrying out the field research
Completed cards from one model measurement and a collective answer sheet based on them 3. Methodology of calculation the emission factor 3.2. Analysis of the results
3. Methodology of calculation the emission factor 3.2. Analysis of the results Calculation procedure for our model measurement Because the obtained values express concentration of odorants, that are 10 times higher than real, were converted accordingly to the formula. The obtained values are equal to the average number of odour units for 60 minutes.
3. Methodology of calculation the emission factor Counted emission of the source: Results of odour dispersion backward modelling
3. Methodology of calculation the emission factor Counted emission of the source: Results of odour dispersion backward modelling
3. Methodology of calculation the emission factor Counted emission of the source: Results of odour dispersion backward modelling
3. Methodology of calculation the emission factor 3.3. Determining the emission factor This is how we calculated emission for allmeasurements made that day and converted per 1000 mink, thus obtaining emission factor. Finally, emission indices were converted to Gou by multiplying emission index by 0,03. For our model measurement emission factor equals: Emission results converted per thousand minks P 1/1 56.3 ou/s = 1.6 Gou/year P 1/2 134.1 ou/s = 4.0 Gou/year P 2/1 223.6 ou/s = 6.7 Gou/year P 2/2 223.6 ou/s = 6.7 Gou/year P 3/1 147.6 ou/s = 4.4 Gou/year P 3/2 147.6 ou/s = 4.4 Gou/year P 3/3 62.6 ou/s = 1.8 Gou/year P 4/1 279.1 ou/s = 8.3 Gou/year P 4/2 279.1 ou/s = 8.3 Gou/year P 5/1 69.7 ou/s = 2.0 Gou/year P 5/2 51.8 ou/s = 1.5 Gou/year P 6/1 246.0 ou/s = 7.1 Gou/year P 6/2 447.3 ou/s = 13.4 Gou/year P 7/1 590.4 ou/s = 17.7 Gou/year P 7/2 134.1 ou/s = 4.0 Gou/year P 8/1 223.6 ou/s = 6.7 Gou/year P 8/2 89.4 ou/s = 2.6 Gou/year
Schedules of results of measurement – F q,od [Gou/year] 4. Results 13.4 7.1 Median = 4.4 2.7 1.5 10.3 7.0 Average = 6.0 5.0 1.6
5. Summary • 50 % of the obtained emission factor values lie withinthe range of 2.7Gou/year to 7.1 Gou/year. 2. The presented method of determining emission factor from unorganized sources is defined by good and credible dispersion results for sensorial methods. Diversity of odour perception of the odour panel has a minor impact on the results. 3. Noticeable scatters of the results would have been probably be less distinctive, if the odour panel had been selected according to the binding European regulation, and in the final phase of measurements the rule of retrospective screening members of the odour panel had been applied to.
