Measurement of Hazardous Air Pollutants in Industrial Complex Using Mobile Measurement System with SIFT-MS
- Authors
- Youn, S.-J.; Jo, K.-H.; Kim, H.-S.; Song, G.-B.; Lee, S.-B.; Jeong, J.-Y.
- Issue Date
- 2020-08
- Publisher
- Korean Society for Atmospheric Environment
- Citation
- Journal of Korean Society for Atmospheric Environment, v.36, no.4, pp.507 - 521
- Abstract
- Abstract In this paper, we describe the application of a mobile measurement system with SIFT-MS for measuring gaseous hazardous air pollutants (HAPs) concentrations in the ambient air of an industrial complex. Both stationary and mobile monitoring methods were tested to evaluate the HAPs. The field monitoring campaign was conducted for 7 days in the selected industrial complex, where petroleum manufacturing facilities were located. It was found that the accuracy of SIFT-MS quantification was improved by correcting the reaction rate constant (k-factor) through standard gas testing. In stationary monitoring, methanol showed the highest concentrations regardless of the measuring sites. It is notable that the concentration of some pollutants such as methanol and C2-benzene increased considerably to several hundred ppbv at a certain time, indicating that people living in the industrial complex may be exposed to a high health risk. It was possible to estimate the emission source by analyzing real-time monitoring results and wind direction and speed. Methanol showed the highest concentrations also in the mobile measurements, indicating that methanol is widely emitted in this area. The mobile measurements together with HAPs pollution mapping were used to investigate the spatial distribution of a number of pollutants concentrations. We believe that this measuremet system using SIFT-MS is a useful tool for evaluating the temporal and spatial concentrations of HAPs in the ambient air of the vicinity of industrial complexes instead of conventional analysis techniques such as gas chromatography. ? 2020
- Keywords
- HAPs; Industrial complex; Mobile monitoring; SIFT-MS; Stationary monitoring
- ISSN
- 1598-7132
- URI
- https://pubs.kist.re.kr/handle/201004/118287
- DOI
- 10.5572/KOSAE.2020.36.4.507
- Appears in Collections:
- KIST Article > 2020
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