04), but this was lower than other reported values of 0.671(P ¼ 1.9E-10) (Kim and Park, 2008). They analyzed the relationshipbetween direct measurements (olfactometry) using an air dilution sensory test that quantifies the odor index values in terms of dilution to threshold (D/T) ratios derived by the air dilution sensory (ADS) (Kim, 2011) and indirect (instrumental) detection. The static dilution of odor samples for the ADS test was made in a stepwise manner by mixing original samples with odorless air using a 3 L odor bag made of polyethylene telephtalate film. D/T ratios of pure air volume required to dilute sampled odorous air to an odor-free threshold point by the stipulated method (Kim and Park, 2008; Mao et al., 2006). In particular, this analysis method is acknowledged as a meaningful approach in the assessment of odor strength. So, through this result, only the analysis of the SOC correlation values lack the ability to objectively identify odor problems. The results expressed in terms of SOAV on a logarithmic scale are shown in Fig. 7B. The Pearson correlation coefficient (r) indicated a relatively high value of 0.720 (P ¼ 7.72E-12) compared tothe SOC coefficient value. Kim and Park (2008) also concluded that the SOQ term exhibited an exceptionally strong correlation to the D/T ratio (r ¼ 0.866, P ¼ 2.74E-22). We assume that the high correlation value is due to the SOAV index being calculated using OTV