Volume 7 Issue 1
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MIAO Yunge, WANG Jian, MA Yinhong, YANG Wen, GU Chao. Correlation analysis based on PLS1 between PM2.5 and air pollutants in Tianjin[J]. Journal of Environmental Engineering Technology, 2017, 7(1): 39-45. doi: 10.3969/j.issn.1674-991X.2017.01.006
Citation: MIAO Yunge, WANG Jian, MA Yinhong, YANG Wen, GU Chao. Correlation analysis based on PLS1 between PM2.5 and air pollutants in Tianjin[J]. Journal of Environmental Engineering Technology, 2017, 7(1): 39-45. doi: 10.3969/j.issn.1674-991X.2017.01.006
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Correlation analysis based on PLS1 between PM2.5 and air pollutants in Tianjin

doi: 10.3969/j.issn.1674-991X.2017.01.006
  • 1.

    College of Urban and Environmental Science, Tianjin Normal University, Tianjin 300387, China

  • 2.

    Xinjiang Autonomous Region Environment Monitoring Centre, Urumqi 830011, China

  • 3.

    China Research Academy of Environmental Sciences, Beijing 100012, China

More Information
  • Corresponding author: Chao GU E-mail: 57901436@qq.com
  • Received Date: 2016-05-24
  • Publish Date: 2017-01-20
    Abstract
  • The correlation analysis, PLS1 and path analysis were applied to study the direct effect five main air pollutants on the quality of PM2.5, their indirect effect on other pollutants and also the total effect in Tianjin in different seasons (291 days) of 2014.The results showed that the factors significantly related to PM2.5 were SO2, NO2 and CO in spring, O3(8 h) and CO in summer, SO2, NO2 and CO in autumn and SO2, NO2, CO, O3(8 h) in winter, respectively. Meanwhile there was a positive multicollinearity between O3(1 h) and O3(8 h) in winter. The goodness of fit R 2of PLS1 model in four seasons was 0.553, 0.323, 0.713, 0.839, respectively, which indicated that the model was reasonable. Path analysis revealed that CO was the greatest pollutant factor to PM2.5 and showed there existed obvious seasonal variations, with the total effect coefficients of 10.810, 5.587, 6.271, 12.500 in four seasons, respectively. The total effect coefficient of O3(8 h) in summer was 0.897, and that of NO2 was 0.185, 0.338 and 0.290 in spring, autumn and winter, respectively. Moreover, the direct effect coefficients of the pollutants in four seasons were higher than those of indirect effect.

     

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