首页> 中文期刊> 《中国高等学校学术文摘·地球科学》 >Investigation of the spatiotemporal variation and influencing factors on fine particulate matter and carbon monoxide concentrations near a road intersection

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

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    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;

    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;

    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;

    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;

    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;

    Department of Urban and Regional Planning, University of Florida, Gainesville, FL 32611-5706, USA;

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