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초록

The purpose of this study is was to evaluate the applicability of statistical quality
control to the ozone precursor monitoring data and to perform source evaluation using
the quality control data. The statistical quality control was applied to step by step,
random error, systematic error, outlier removal, and instantaneous change removal.
Relative standard deviation was decreased in during the outlier removal step, and it was
similar or even increased but was comparable or greater when the instantaneous change
value was removed. As observed from the results of a principal component analysis
(PCA), the raw data did not explain the emission characteristics. However, after
removing the outlier data and the instantaneous fluctuation value, the data explained the
emission characteristics well. Further, in case of managing to the instantaneous
fluctuation value, when the average instantaneous fluctuation value is reduced by 8%, it
is supposed that the quality control of the outli