Characteristics and origins of a typical heavy haze episode in Baotou, China: implications for the spatial distribution of industrial sources

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• 作者：Bi-xin Chen ; Si Wang ; Wei-dong Yang…
• 关键词：Key wordsAir pollution ; Haze ; Industrial sources ; Backward trajectory ; Conditional probability function (CPF)
• 刊名：Journal of Zhejiang University-SCIENCE A
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：18
• 期：2
• 页码：151-162
• 全文大小：
• 刊物类别：Engineering
• 刊物主题：Mechanical Engineering; Civil Engineering; Classical and Continuum Physics; Industrial Chemistry/Chemical Engineering;
• 出版者：Zhejiang University Press
• ISSN：1862-1775
• 卷排序：18

文摘

Air pollution has become the predominant environmental problem caused by rapid industrialization and urbanization in China. In this study, measurements of the concentrations of PM_2.5, PM₁₀, SO₂, NO₂, CO, and O₃ at six monitoring stations in Baotou, China were used to investigate the characteristics of heavy haze pollution in Dec. 12–25, 2013. Source locations of PM_2.5 in Baotou were identified using satellite remote sensing data, an air mass trajectory model, and a conditional probability function (CPF). The results showed that the average concentrations of PM_2.5 and PM₁₀ were (113.8±84.0) μg/m3 and (211.1±149.2) μg/m3, respectively. The similar trends in temporal variation of the air pollutants PM_2.5, PM₁₀, SO₂, NO₂, and CO suggested they may share common sources. The results of satellite observations and backward trajectories supported the hypothesis that the pollutants causing the haze event originated mainly from local anthropogenic sources. According to the CPF analysis, low-speed winds from the south and southwest, upwind industrial emissions, and the northern mountains were mainly responsible for the formation of haze in Baotou. The study provides some insights to help governments optimize industrial layouts for improving air quality in the future.