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http://dx.doi.org/10.5668/JEHS.2015.41.2.71

Ozone Exposure Assessment by Population Characteristics: A Case Study for High Ozone Days in Busan  

Hwang, Mi-Kyoung (Division of Earth Environmental System, Pusan National University)
Bang, Jin-Hee (Environmental Health Center, University of Ulsan College of Medicine)
Oh, Inbo (Environmental Health Center, University of Ulsan College of Medicine)
Kim, Yoo-Keun (Division of Earth Environmental System, Pusan National University)
Publication Information
Journal of Environmental Health Sciences / v.41, no.2, 2015 , pp. 71-81 More about this Journal
Abstract
Objectives: Photochemical ozone pollution is associated with increased mortality risk. This study aims to assess the population exposure to ozone according to population characteristics for high ozone days in the Busan metropolitan region (BMR). Methods: The ozone exposure assessment in this study was performed using the WRF-CMAQ simulated ozone concentrations and the population data in the BMR. The settled and daytime population and their activity were considered to conduct the static and dynamic ozone exposure assessment. Results: Applying a static exposure assessment, in case that high ozone occurred throughout Busan area, the highest exposure levels were evaluated in urban neighborhoods. In case of ozone pollution in outer Busan, because sensitive groups have been relatively higher exposure, this case was also evaluated as part of that should not be overlooked. The dynamic exposure was higher than static exposure because the number of population exposed to ozone of high concentration is increased. This approach is important in a regard consider that daytime population distribution when high ozone occur. Conclusion: This study shows the different population exposure according to various ozone distributions for each episode day. Considering demographic characteristic such as population density and activity should be important to understanding the population exposure assessment when ozone pollution occurs.
Keywords
activity; exposure; numerical air quality modeling; ozone; population;
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Times Cited By KSCI : 7  (Citation Analysis)
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