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Spatial Patterns and Influencing Factors of Intraurban Particulate Matter in the Heating Season Based on Taxi Monitoring by Chong Liu; Yuanman Hu; Yu Chang; Miao Liu; Zaiping Xiong; Tan Chen; Chunlin Li is a Environmental Science article available to read on EtoBox.

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## ABSTRACT Urbanization has introduced a series of environmental problems worldwide, and particulate matter (PM) is one of the main threats to human health. Due to the lack of high-resolution, large-scale monitoring data, few studies have analyzed the intraurban spatial distribution pattern of PM at a fine scale. In this study, portable air monitors carried by five taxis were used to collect the concentrations of PM ~1~ , PM ~2.5~ and PM ~10~ for five months in Shenyang during the heating season. The results showed that high concentrations of PM were distributed in the suburbs, while relatively low concentration areas were found in the central area. Agricultural, industrial and development zones had higher concentration values among the eight observed types. The PM concentration exhibited strong spatial autocorrelation based on Moran’s I index analysis. Meteorological factors were the most important influencing factors of the three pollutants, and their total contribution rate accounted for more than 80% among the 13 factors according to boosted regression trees analysis. The taxi monitoring method we proposed was a more efficient and feasible method for monitoring urban air pollu

Who reads Spatial Patterns and Influencing Factors of Intraurban Particulate Matter in the Heating Season Based on Taxi Monitoring?

Author

Chong Liu; Yuanman Hu; Yu Chang; Miao Liu; Zaiping Xiong; Tan Chen; Chunlin Li

Publisher

American Association for the Advancement of Science (AAAS)

Published

2022

Language

EN

Field

Environmental Science (Physical Sciences)