[Using Multiple Linear Regression Method to Evaluate the Impact of Meteorological Conditions and Control Measures on Air Quality in Beijing During APEC 2014].
Ying-Ruo Li, Junxia Wang, Tingting Han, Yao Wang, Di He, Weijun Quan, Zhiqiang Ma
Abstract
Ying-Ruo Li, Junxia Wang, Tingting Han, Yao Wang, Di He, Weijun Quan, Zhiqiang Ma
Abstract
and nitrogen oxides, and meteorological factors played a leading role in the reduction of CO. Meteorological factors and control measures made roughly equal contributions to the reduction of particulate matter. We also used the relative weight method to study the contribution of meteorological factors to the pollutant concentration. The results showed that the decisive meteorological factors on the concentrations of different pollutants were different.
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and nitrogen oxides, and meteorological factors played a leading role in the reduction of CO. Meteorological factors and control measures made roughly equal contributions to the reduction of particulate matter. We also used the relative weight method to study the contribution of meteorological factors to the pollutant concentration. The results showed that the decisive meteorological factors on the concentrations of different pollutants were different.
Key concepts: Environmental science, Beijing, Air quality index, NOx, Linear regression, Air pollution, Meteorology, Pollutant