We used the measurement data derived from a proton transfer reaction time-offlight mass spectrometry (PTR-ToF-MS) to ascertain the source profile of volatile organic compounds (VOCs) from 4 major industrial classifications which showed the highest emissions from a total of 26 industrial classifications of A industrial complex. Methanol (MOH) was indicated as the highest VOC in the industrial classification of fabricated metal manufacture, and it was followed by dichloromethane (DM), ethanol (EN) and acetaldehyde (AAE). In the industrial classification of printing and recording media, the emission of ethylacetate (EA) and toluene (TOL) were the highest, and were followed by acetone (ACT), ethanol (EN) and acetic acid (AA). TOL, MOH, 2-butanol (MEK) and AAE were measured at high concentrations in the classification of rubber and plastic manufacture. In the classification of sewage, wastewater and manure treatment, TOL was the highest, and it was followed by MOH, H2S, and ethylbenzene (EBZ). In future studies, the source profiles for various industrial classifications which can provide scientific evidence must be completed, and then specified mitigation plans of VOCs for each industrial classification should be established.

This study investigated the odor emission characteristics of fertilizer manufacturing facilities. The characteristics were evaluated by measuring the odor concentration at the outlet and site boundary of the complex fertilizer and organic fertilizer manufacturing facilities. The evaluation process utilized the air dilution sensory method and PTR-ToF-MS. The complex odor dilution factor ranged from 100 to 120 times at the outlet of the compound fertilizer manufacturing facility. Specifically, the concentrations of Ammonia and Aldehydes were relatively high as designated odor substances. For the organic fertilizer facility, the dilution factor for complex odors was measured up to a maximum of 3,000. And, designated odorants such as Ammonia and Hydrogen sulfide were measured at levels up to parts per million (ppm). The odor contribution assessment of the fertilizer manufacturing facilities showed that the complex fertilizer facility exhibited similar contributions from Aldehydes and Sulfur compounds. On the other hand, the organic fertilizer facility had the highest contribution of over 62% from Sulfur compounds. As odor substances are easily changed and diffused according to weather conditions, it is difficult to obtain representative data according to the measurement time. Therefore, if continuous monitoring of odorous substances is performed using equipment that can be measured in real time without pretreatment, it becomes feasible to identify odor emission sources and regional spatio-temporal distribution. This information would then serve as a basis for analyzing odorant contamination characteristics and establishing appropriate countermeasures.

The annual number of odor complaints increased about 10 times over 14 years from 4,302 in 2005 to 40,854 in 2019, in Korea. Especially, livestock facilities account for more than 50% of the odor complaints and the swine farms account for the most odor complaints among livestock. It is therefore necessary to manage swine farms as the major odor emission source. In this study, a real-time odor monitoring system equipped with PTR-TOF-MS (proton transfer reaction time-of-flight mass spectrometric) was used to measure the odorous substances in two swine farms. Odorous substances emitted from outlets were sampled and measured at the two types of swine farms. In addition, the boundary spots were designated as measurement points. As a result, the rankings of the odorous substances in order, from highest to lowest, were ammonia, acetaldehyde, methyl mercaptan, fatty acids, etc. and the level of odor intensity was 0.8-4.4 at the outlet of the swine farms. The concentration at the boundary decreased between 1/100 ~ 1/10000 compared to the concentration emitted from outlets. Base on the results of evaluating odor activity values, Skatole and p-Cresol were estimated as major odor substances in swine farms.

  ANOVA is widely used for measurement system analysis. It assumes that the measurement error is normally distributed, which may not be seen in certain industrial cases. In this study, the exact and bootstrap confidence intervals for precision-to-toleranc