中文

Journal of Shanghai University >

2022 , Vol. 28 >Issue 4: 582 - 593

DOI: https://doi.org/10.12066/j.issn.1007-2861.2351

Urban Traffic and the Environment

Spatiotemporal distribution of traffic particulate matter in urban non-motorized lanes

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  • College of Transportation and Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou 350108, Fujian, China

Received date: 2021-09-07

  Online published: 2022-08-29

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Abstract

To capture the high temporal and spatial resolution characteristics of air pollution in urban non-motorized lanes, a micro-sensor-based cycling measurement platform was established to collect samples of submicron particulate matter (PM1.0 ) and black carbon (BC) in non-motorized lanes alongside an expressway in Fuzhou, China. The temporal and spatial variations of these traffic particles were then visually analyzed, and explanations were provided. Results showed that the concentrations of PM1.0 and BC were significantly greater along the community side than on the river side and were greater in the morning and evening peak periods than in the noon. In the morning, the BC concentration showed a stable accumulation, but PM1.0 had a greater volatility; the opposite was the case in the evening. The drop of particulate matter concentration in non-motorized lanes was positively correlated with the distance to the main road and the abundance of vegetation around. The cold spots of particles were far from the main road and near high vegetation coverage, whereas hot spots were mostly distributed in traffic environments with construction and congestion. BC hotspots were synchronized with complex road conditions, but PM1.0 hotspots were also closely related to the surrounding environment. Therefore, focusing on the key traffic pollutants is necessary in designing show-moving traffic while considering the topographical characteristics, spatial conditions, and surrounding environment. This can improve air quality in non-motorized lanes, thereby enhancing healthy commuting.

Key words： atmospheric particulate matter; temporal and spatial distribution; mobile measurement; show-moving traffic

Cite this article

LUO Binru, CAO Ruhui, CHEN Xin, HU Xisheng, WANG Zhanyong . Spatiotemporal distribution of traffic particulate matter in urban non-motorized lanes[J]. Journal of Shanghai University, 2022 , 28(4) : 582 -593 . DOI: 10.12066/j.issn.1007-2861.2351

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