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http://dx.doi.org/10.5322/JESI.2016.25.5.673

Evaluation of Air Pollution Monitoring Networks in Seoul Metropolitan Area using Multivariate Analysis  

Choi, Im-Jo (Ulsan Institute of Health & Environment)
Jo, Wan-Keun (Department of Environmental Engineering, Kyungpook National University)
Sin, Seung-Ho (Department of Health Environment, Daegu Health College)
Publication Information
Journal of Environmental Science International / v.25, no.5, 2016 , pp. 673-681 More about this Journal
Abstract
The adequacy of urban air quality monitoring networks in the largest metropolitan city, Seoul was evaluated using multivariate analysis for $SO_2$, $NO_2$, CO, PM10, and $O_3$. Through cluster analysis for 5 air pollutants concentrations, existing monitoring stations are seen to be clustered mostly by geographical locations of the eight zones in Seoul. And the stations included in the same cluster are redundantly monitoring air pollutants exhibiting similar atmospheric behavior, thus it can be seen that they are being operated inefficiently. Because monitoring stations groups representing redudancy were different depending on measurement items and several pollutants are being measured at the same time in each air monitoring station, it is seemed to be not easy to integrate or transmigrate stations. But it may be proposed as follows : the redundant stations can be integrated or transmigrated based on ozone of which measures are increasing in recent years and alternatively the remaining pollutants other than the pollutant exhibiting similar atmospheric behavior with nearby station's can be measured. So it is considered to be able to operate air quality monitoring networks effectively and economically in order to improve air quality.
Keywords
Air quality monitoring networks; Cluster analysis; Geographical locations; Ozone;
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Times Cited By KSCI : 2  (Citation Analysis)
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