| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10179883 | Atmospheric Pollution Research | 2016 | 7 Pages |
Abstract
ANN model is considered to be appropriate with the ability of characterising non-linear phenomena. In this work an ANN model is built to predict the daily averaged PM concentrations. Comparing the observed PM concentrations and the predicted value which are forecasted by ANN model on condition that no emission control measures were carried out during the APEC, the reductions for PM2.5 and PM10 are 24%, 28% respectively. All these results suggest that strict emission control measures push down the pollution level effectively, and more observed data with long time could improve the accuracy of evaluation results. More stringent controls of regional emissions should be lasted for the continuous improvements of air quality in Beijing-Tianjin-Hebei region.
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Atmospheric Science
Authors
Ruipeng Li, Hongjun Mao, Lin Wu, Jianjun He, Peipei Ren, Xiaoyu Li,