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中高档私家车室内典型VOCs的污染特征与预测因素

汪杰 燕志奇 王慧 张立军 韦学军 谭银湘 王甫华 高伟 谭国斌

科技创新与应用2024,Vol.14Issue(16):33-38,6.
科技创新与应用2024,Vol.14Issue(16):33-38,6.DOI:10.19981/j.CN23-1581/G3.2024.16.008

中高档私家车室内典型VOCs的污染特征与预测因素

汪杰 1燕志奇 1王慧 2张立军 2韦学军 3谭银湘 1王甫华 1高伟 4谭国斌1

作者信息

  • 1. 广州禾信仪器股份有限公司,广州 510535
  • 2. 广物汽贸股份有限公司,广州 510000
  • 3. 上汽通用五菱汽车股份有限公司,广西 柳州 545007
  • 4. 暨南大学 质谱仪器与大气环境研究所/广东省大气污染在线源解析系统工程技术研究中心,广州 510632
  • 折叠

摘要

Abstract

In order to understand the profiles,sources of pollution and predictors of volatile organic compounds(VOCs)in the cabin air of private cars,indoor air of 73 middle-and high-endprivate cars were analyzed for fourteen typical VOCs.Results showed that methylcyclopentane,n-decane,undecane,xylene/ethylbenzene and trimethylbenzene were detected in all samples.The total concentrations of VOCs in cabin air ranged from 109 to 2659 μg/m3 with a median of 672 μg/m3.Methylcyclopentane had the highest concentrations(6.48~963 μg/m3),followed by nonane(<LOQ~705 μg/m3),n-decane(8.43~581 μg/m3)and methylcyclohexane(<LOQ~513 μg/m3).Significant positive correlations were found between almost all individual VOCs compounds with correlation coefficients ranged from 0.25 to 0.95,indicating same or similar sources for these compounds.Principal component analysis revealed that four pricipal components explained more than 84%of the total variance of chemical concentration in the data,and a single principal component explained most of the variance in the concentrations of the chemicals within a same group.Furthermore,multivariable linear regression model was used to analyze the correlation between predictors and principal component scores.The results showed that vehicle brand,vehicle type,exhaust volume,total mileage and the age of vehicle were identified as predictors of the level of corresponding VOCs in the cabin air of middle and high grades private cars.

关键词

私家车/室内空气/挥发性有机物/污染特征/预测因素

Key words

private car/indoor air/volatile organic compound/pollution characteristics/predictor

分类

资源环境

引用本文复制引用

汪杰,燕志奇,王慧,张立军,韦学军,谭银湘,王甫华,高伟,谭国斌..中高档私家车室内典型VOCs的污染特征与预测因素[J].科技创新与应用,2024,14(16):33-38,6.

基金项目

广东省重点领域研发计划项目(2020B1111360002) (2020B1111360002)

羊城创新创业领军人才支持计划项目(领军人才2020012) (领军人才2020012)

科技创新与应用

2095-2945

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