Modeling the effects of pollutant emissions from large industrial complexes on benzene, toluene, and xylene concentrations in urban areas
- Author:
Jin Hee BANG
1
;
Inbo OH
;
Soontae KIM
;
Seunghee YOU
;
Yangho KIM
;
Ho Jang KWON
;
Geun Bae KIM
Author Information
- Publication Type:Original Article
- Keywords: Community Multiscale Air Quality; Benzene; Toluene; Xylene; Ulsan; Industrial complex
- MeSH: Benzene; Epidemiologic Studies; Seasons; Toluene; Ulsan; Xylenes
- From:Environmental Health and Toxicology 2017;32(1):2017022-
- CountryRepublic of Korea
- Language:English
- Abstract: This study utilized the Community Multiscale Air Quality model to simulate the spatial distribution of benzene, toluene, and xylene (BTX) concentrations from large national industrial complexes (IC) located in the Ulsan metropolitan region (UMR). Through controlling pollutant emissions from major IC, this study performed a quantitative analysis of the influence of pollutant emissions on BTX concentrations in surrounding urban areas. The results showed that approximately 40% of the annual average BTX concentrations in nearby urban grids were directly influenced by pollutant emissions from the IC. Seasonal modeling results indicated that average BTX concentrations were high around petrochemical complexes, with higher concentrations in the surrounding urban areas during the summer (July). All three of the BTX pollutants showed similar seasonal differences. Daily contributions differed significantly throughout the modeling period, with some values reaching a maximum of 80% during July. Overall, when urban areas were located downwind of the IC, contributions rose. Moreover, this study compared the differences in BTX contributions at each measurement point within the IC and urban areas, which showed that the influence of the IC emissions decreased significantly with distance. The spatial distribution and direct influence of the IC on BTX concentrations in the UMR identified through this study could be used to provide input data in environmental epidemiological studies.
