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Spatiotemporal variations and relationship of PM and gaseous pollutants based on gray correlation analysis.

作者信息

Zhang Yong Y, Jia Ying, Li Ming, Hou Li A

机构信息

a School of Environmental Technology , Xi'an High Technology Institute , Xi'an , China.

出版信息

J Environ Sci Health A Tox Hazard Subst Environ Eng. 2018 Jan 28;53(2):139-145. doi: 10.1080/10934529.2017.1383122. Epub 2017 Nov 17.

DOI:10.1080/10934529.2017.1383122
PMID:29148928
Abstract

The present work characterizes the spatiotemporal variations of air pollution at four sites in Xi'an city. The investigations lasted for 1 year: January 1 through December 31, 2015. The concentrations of CO, NO, O, PM and SO were systematically monitored. The gray correlation analysis was used to correlate PM and gaseous pollutants. The formation mechanisms of sulfate and nitrate aerosols were discussed. Results clearly revealed severe air pollution by PM, PM and NO at all four sites. Significant monthly variations were observed for PM, PM, SO and CO with the maximum values in December/January and minimum values in June/July. The O level showed an opposite trend. Spatially, high variations were observed for PM and some gaseous pollutants at individual sites. Gray correlation analysis revealed the significance of various major influencing factors on seasonal PM values at each site. In general, PM, SO and NO affect the PM more than other pollutants. For a more efficient control of air pollution, a systematic spatial characterization of the seasonal variability of individual influencing factors is necessary.

摘要

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