Odour Threshold Investigation 2012 - Bay of Plenty Regional Council

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A display of the “round” values shows (Figure 7.9) a skewed histogram which is quite normal for data of this type. The Panellist session mean data has been chosen as the primary dataset (Figure 7.10) used in the following analysis as it provides a suitably smoothed distribution and it is all that is required to see if there is a difference between the two locations. Lower level averages or the base level round data would be suitable for testing aspects of the methodology but are beyond the scope and ability of this investigation. Some analysis of these finer datasets is briefly investigated in the following sections as a means of potentially identifying additional investigations. Any deviations from the session mean analysis will be noted at the time. Figure 7.9 Graphical summary of the “round” data. 40 Environmental Publication 2012/06–A review of odour properties of H 2 S Odour Threshold Investigation 2012
Figure 7.10 Graphical summary of the “session mean” unconditioned data. 7.5.3 Transforming the data Analysis of variance (ANOVA) is a convenient method to quantify the variability of threshold values between sessions, panellists and locations. ANOVA works well if underlying variation is approximately normally distributed and if the standard deviations of the applied normal curves are roughly equal. Otherwise the ANOVA estimates are likely to be unreliable. The detection threshold data in untransformed scale does not satisfy this requirement (Figure 7.9 and 7.10). Working with the log-based data, however, improves the “diagnostics” a great deal as shown in (Figure 7.11). Environmental Publication 2012/06–A review of odour properties of H 2 S Odour Threshold Investigation 2012 41
Page 1: A review of odour properties of H 2
Page 5: Acknowledgements Dr Bruce Graham fo
Page 8 and 9: In relation to the second question
Page 10 and 11: 6.5 Equipment 29 6.6 Requirements o
Page 12 and 13: Figure 7.10 Graphical summary of th
Page 14 and 15: The standardisation of DDO in Austr
Page 16 and 17: Figure 2.1 Odorant receptors and th
Page 18 and 19: Figure 2.3 Relative slope of odour
Page 21: Part 3: H 2 S health effects The pr
Page 24 and 25: such as composting can provide very
Page 26 and 27: Seigel et al 32 undertook measureme
Page 28 and 29: Rotorua District Council also under
Page 30 and 31: Kevern 56 undertook several surveys
Page 33 and 34: Part 5: H 2 S threshold information
Page 35 and 36: The American Industrial Hygiene Ass
Page 37: Earlier summaries of data in relati
Page 40 and 41: The results generated by the olfact
Page 42 and 43: At each round of the testing proces
Page 44 and 45: 6.7.2 n-Butanol vapour The standard
Page 46 and 47: 7.1.2 Ambient H 2 S levels No H 2 S
Page 48 and 49: Residence time for Rotorua panellis
Page 50 and 51: Figure 7.7 Example of incomplete ro
Page 54 and 55: Figure 7.11 Log 10 mean session dat
Page 56 and 57: Panellist means Figure 7.12 t-test
Page 58 and 59: The original concept behind the tes
Page 60 and 61: Figure 7.16 Frequency plots - perce
Page 62 and 63: Figure 7.17 Scatterplot showing n-b
Page 64 and 65: Several types of analysis of the gr
Page 66 and 67: Figure 8.1 Updated H 2 S threshold
Page 69: Appendix 1 - Olfactometer calibrati
Page 73 and 74: Appendix 3 - Dr Ray Littler analysi
Page 75 and 76: Effect of elevated ambient H 2 S On
Page 77 and 78: Figure 4 Untransformed is non-norma
Page 79 and 80: 14 Histogram of MnH2S_Whakatāne 12
Page 81: Histogram of Mn butanol Lognormal R

Odour Threshold Investigation 2012 - Bay of Plenty Regional Council

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