Investigation of the spatiotemporal variation and influencing factors on fine particulate matter and carbon monoxide concentrations near a road intersection

作     者：Zhanyong WANG Qing-Chang LU Hong-Di HE Dongsheng WANG Ya GAO Zhong-Ren PENG 

作者机构：Center for ITS and UAV Applications Research State Key Laboratory of Ocean Engineering School of Naval Architecture Ocean & Civil Engineering Shanghai Jiao Tong University Shanghai 200240 China Logistics Research Center Shanghai Maritime University Shanghai 201306 China Department of Urban and Regional Planning University of Florida Gainesville FL 32611-5706 USA 

出 版 物：《Frontiers of Earth Science》 (地球科学前沿（英文版）)

年 卷 期：2017年第11卷第1期

页      面：63-75页

核心收录：

学科分类：081406[工学-桥梁与隧道工程] 07[理学] 08[工学] 070602[理学-大气物理学与大气环境] 0706[理学-大气科学] 0814[工学-土木工程] 082301[工学-道路与铁道工程] 0823[工学-交通运输工程] 

基　　金：Acknowledgements This work was sponsored by the Peking University- Lincoln Institute (DS20120901)  the Shanghai Environmental Protection Bureau (No. 2014-8) and the State Key Laboratory of Ocean Engineering (GKZD 010059) at Shanghai Jiao Tong University  and the National Natural Science Foundation of China (11302125). We would like to thank members from the Shanghai Environmental Monitoring Center for their assistance in the instrumental calibration  and a special appreciation is expressed to colleagues from the Center for ITS and UAV Applications Research at Shanghai Jiao Tong University for their hard work in data collection and processing. We also acknowledge Wina Meyer and Alissa Meyer from the International Friendship of the University of Florida and Trina Burgess from the Department of Geography at the University of Lethbridge for their proofreading on our manuscript. Finally  we appreciate the anonymous reviewers' insightful comments on our work 

主　　题：traffic-related pollutants fine-scale variation distance gradient meteorology road intersection 

摘      要：The minute-scale variations of fine particulate matter （PM2.5） and carbon monoxide （CO） concentrations near a road intersection in Shanghai, China were investigated to identify the influencing factors at three traffic periods. Measurement results demonstrate a synchronous variation of pollutant concentrations at the roadside and setbacks, and the average concentration of PM2.5 at the roadside is 7% （44% for CO） higher than that ofsethacks within 500 m of the intersection. The pollution level at traffic peak periods is found to be higher than that of off-peak periods, and the morning peak period is found to be the most polluted due to a large amount of diesel vehicles and unfavorable dispersion conditions. Partial least square regressions were constructed for influencing factors and setback pollutant concentrations, and results indicate that meteorological factors are the most significant, followed by setback distance from the intersection and traffic factors. CO is found to be sensitive to distance from the traffic source and vehicle type, and highly dependent on local traffic conditions, whereas PM2.5 originates more from other sources and background levels. These findings demonstrate the importance of localized factors in understanding spatiotemporal patterns of air pollution at intersections, and support decision makers in roadside pollution management and control.