Urban air quality, meteorology and traffic linkages: Evidence from a sixteen-day particulate matter pollution event in December 2015, Beijing

作     者：Dongmei Hu Jianping Wu Kun Tian Lyuchao Liao Ming Xu Yiman Du 

作者机构：Department of Civil Engineering Tsinghua University Fujian Key Laboratory for Automotive Electronics and Electric Drive Fujian University of Technology 

出 版 物：《Journal of Environmental Sciences》 (环境科学学报（英文版）)

年 卷 期：2017年第29卷第9期

页      面：30-38页

核心收录：

学科分类：07[理学] 08[工学] 082303[工学-交通运输规划与管理] 070602[理学-大气物理学与大气环境] 0706[理学-大气科学] 082302[工学-交通信息工程及控制] 0823[工学-交通运输工程] 

基　　金：conducted as part of the project "Concentration prediction of urban air pollutants based on deep learning" funded by Doctoral scholarship program of Tsinghua University partly financial support is also provided by the National Natural Science Foundation of China (Nos. 61304199 41471333) 

主　　题：Pollution event Air quality Meteorology Traffic restrictions Mutual information 

摘      要：A heavy 16-day pollution episode occurred in Beijing from December 19, 2015 to January 3,2016. The mean daily AQI and PM2.5 were 240.44 and 203.6 μg/m^3. We analyzed the spatiotemporal characteristics of air pollutants, meteorology and road space speed during this period, then extended to reveal the combined effects of traffic restrictions and meteorology on urban air quality with observational data and a multivariate mutual information model. Results of spatiotemporal analysis showed that five pollution stages were identified with remarkable variation patterns based on evolution of PM2.5 concentration and weather conditions. Southern sites（DX, YDM and DS） experienced heavier pollution than northern ones（DL, CP and WL）. Stage P2 exhibited combined functions of meteorology and traffic restrictions which were delayed peak-clipping effects on *** information values of Air quality–Traffic–Meteorology（ATM–MI） revealed that additive functions of traffic restrictions, suitable relative humidity and temperature were more effective on the removal of fine particles and CO than NO2.