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基于PLS1的天津市PM2.5与空气污染物相关性分析

苗云阁,  王健,  马银红,  杨文,  谷超

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文章导航 > 环境工程技术学报  > 2017 >  7(1): 39-45
苗云阁, 王健, 马银红, 杨文, 谷超. 基于PLS1的天津市PM2.5与空气污染物相关性分析[J]. 环境工程技术学报, 2017, 7(1): 39-45. doi: 10.3969/j.issn.1674-991X.2017.01.006
引用本文: 苗云阁, 王健, 马银红, 杨文, 谷超. 基于PLS1的天津市PM2.5与空气污染物相关性分析[J]. 环境工程技术学报, 2017, 7(1): 39-45. doi: 10.3969/j.issn.1674-991X.2017.01.006
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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
shu

基于PLS1的天津市PM2.5与空气污染物相关性分析

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

    天津师范大学城市与环境科学学院,天津 300387

  • 2.

    新疆维吾尔自治区环境监测总站,新疆 乌鲁木齐 830011

  • 3.

    中国环境科学研究院,北京 100012

详细信息
    作者简介:

    苗云阁(1991—),女,硕士研究生,主要研究方向大气环境科学, 18911720413@163.com

    通讯作者:

    谷超 E-mail: 57901436@qq.com

  • 中图分类号: X51

Correlation analysis based on PLS1 between PM2.5 and air pollutants in Tianjin

  • 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

    摘要
  • 摘要: 运用相关性分析、单因变量偏最小二乘回归法(PLS1)和通径分析法,研究天津市2014年不同季节(共291 d)SO2、NO2、CO、O3(8 h)和O3(1 h)4类主要空气污染物对PM2.5浓度的直接影响以及间接影响和总作用影响。结果表明:春季与PM2.5浓度呈显著性相关的污染因子为SO2、NO2和CO;夏季为O3(8 h)和CO;秋季为SO2、NO2和CO;冬季为SO2、NO2、CO和O3(8 h)。冬季的O3(1 h)与O3(8 h)间存在严重的复相关性。剔除未通过T检验和F检验的污染因子后建立的春、夏、秋、冬四季PLS1模型的拟合优度(R 2)分别为0.553、0.323、0.713和0.839,模型拟合良好。通径分析结果显示:各季节中,CO对PM2.5浓度的影响最大,且存在明显的季节变化,春、夏、秋、冬四季的总作用系数分别为10.810、5.587、6.271和12.500;O3(8 h)在夏季对PM2.5的总作用系数为0.897;NO2在春、秋、冬季对PM2.5的总作用系数分别为0.185、0.338和0.290;各污染因子对PM2.5的直接作用系数均大于其间接作用系数。

     

    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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  • 收稿日期:  2016-05-24
  • 刊出日期:  2017-01-20

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