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

被引:33
|
作者
Wang, Zhanyong [1 ]
Lu, Qing-Chang [1 ]
He, Hong-Di [2 ]
Wang, Dongsheng [1 ]
Gao, Ya [1 ]
Peng, Zhong-Ren [1 ,3 ]
机构
[1] Shanghai Jiao Tong Univ, Ctr ITS & UAV Applicat Res, State Key Lab Ocean Engn, Sch Naval Architecture Ocean & Civil Engn, Shanghai 200240, Peoples R China
[2] Shanghai Maritime Univ, Logist Res Ctr, Shanghai 201306, Peoples R China
[3] Univ Florida, Dept Urban & Reg Planning, Gainesville, FL 32611 USA
基金
中国国家自然科学基金;
关键词
traffic-related pollutants; fine-scale variation; distance gradient; meteorology; road intersection; PARTICLE CONCENTRATIONS; ULTRAFINE PARTICLES; SIZE DISTRIBUTIONS; NEURAL-NETWORK; CO; TEMPERATURE; POLLUTANT; EMISSIONS; HUMIDITY; VEHICLES;
D O I
10.1007/s11707-016-0564-5
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
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 of setbacks 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.
引用
收藏
页码:63 / 75
页数:13
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