Vol.6 , No. 1, Publication Date: Jan. 22, 2021, Page: 1-9
[1] | Xu Sun, State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China. |
[2] | Xueting Jin, School of Geographical Sciences & Urban Planning, Arizona State University, Tempe, USA. |
[3] | Ji Zheng, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China. |
[4] | Yu Li, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China. |
[5] | Dan Meng, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China. |
Accompanied with socio-economic development, Beijing has been suffering a severe haze in recent years, which has caused wide public concern. A four-tier warning system for air pollution is implied, in which different degrees restrictions on enterprises operation, gasoline standard and license plates based traffic restriction would be implied to ameliorate the air quality. Based on per-hour time precision real time monitoring data set of five kinds of air pollution (CO, NO, NO2, NOx, and PM2.5) and traffic volume at neighborhood scale during haze frequent period in Beijing from December 19 to 31 in 2015 and 2016, the timeliness, effect duration and effectiveness of different levels of policy, and the response from diverse pollutants were evaluated. Red, orange and yellow alter for heavy air pollution policy do have positive roles in preventing worsening air quality and reducing the concentration of air pollutions with a time-lag effect from 12 hours to 72 hours. At neighborhood scale in downtown Beijing, the red alter has a significantly higher efficacy than orange and yellow alerts, and no significant difference between the efficacies of orange alter and yellow alter is found caused by the urban function and traffic restrictions. As for the pollutant response, these alters had the greatest effect on PM2.5, followed by NO, CO, NOx and NO2. Red alter emergency responses would cause 31.99% decrease of total non-public transport vehicle volume and 11.4%~25.4% decrease of air pollutant emissions respectively. Statistically, there is significant correlation vehicle emission atmospheric pollutant concentration with R2 up to 93.5%, which is most significant during red alter, followed by orange alter and off-policy period.
Keywords
Air Pollution, Traffic, Neighborhood Scale, Policy, Beijing
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