Abstract
A mathematical model is built for air quality evaluation, which has taken PM2.5, PM10, SO2, NO2, CO and O3 six parameters into consideration. The comprehensive air quality evaluation is carried out via standard deviation method and principle component analysis method; automatic weight determining has been discussed. Correlations of the factors are considered and a preprocess procedure is issued to eliminate the effects. Ambient air quality data of eleven cities are taken as an example and the comprehensive evaluation results are compared, which shows the mathematical model provides a viable approach to environmental assessment.
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