Characteristic Analysis and Health Risk Assessment of PM2.5 and VOCs in Tianjin Based on High-Resolution Online Data

This study leveraged 2019 online data of particulate matter (PM<sub>2.5</sub>) and volatile organic compounds (VOCs) in Tianjin to analyze atmospheric pollution characteristics. PM<sub>2.5</sub> was found to be primarily composed of water-soluble ions, with nitrates as the dominant component, while VOCs were predominantly alkanes, followed by alkenes and aromatic hydrocarbons, with notable concentrations of propane, ethane, ethylene, toluene, and benzene. The receptor model identified six major sources of PM<sub>2.5</sub> and seven major sources of VOCs. The secondary source is the main contribution source, while motor vehicles and coal burning are important primary contribution sources in PM<sub>2.5</sub>. And, industrial processes and natural gas volatilization were considered major contributors for VOCs. A health risk assessment indicated negligible non-carcinogenic risks but potential carcinogenic risks from trace metals As and Cr, and benzene within VOCs, underscoring the necessity for focused public health measures. A risk attribution analysis attributed As and Cr in PM to coal combustion and vehicular emissions. Benzene in VOCs primarily originates from fuel evaporation, and industrial and vehicular emissions. These findings underscore the potential for reducing health risks from PM and VOCs through enhanced regulation of emissions in coal, industry, and transportation. Such strategies are vital for advancing air quality management and safeguarding public health.

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Publication Details

Journal
Toxics
Published
2024-08-23
DOI
https://doi.org/10.3390/toxics12090622
Citations
6
Primary Topic
Air Quality Monitoring and Forecasting
Type
article
Field-Weighted Citation Impact
1.23

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article

Characteristic Analysis and Health Risk Assessment of PM2.5 and VOCs in Tianjin Based on High-Resolution Online Data

Danni Liang, Guoliang Shi, Yinchang Feng, Qili Dai et al.
6 citations
Toxics
Air Quality Monitoring and Forecasting
1.23
article

Characteristic Analysis and Health Risk Assessment of PM2.5 and VOCs in Tianjin Based on High-Resolution Online Data

Danni Liang, Guoliang Shi, Yinchang Feng, Qili Dai, Feng Wang, Yanqi Huangfu
article en
6 citations

Abstract

This study leveraged 2019 online data of particulate matter (PM<sub>2.5</sub>) and volatile organic compounds (VOCs) in Tianjin to analyze atmospheric pollution characteristics. PM<sub>2.5</sub> was found to be primarily composed of water-soluble ions, with nitrates as the dominant component, while VOCs were predominantly alkanes, followed by alkenes and aromatic hydrocarbons, with notable concentrations of propane, ethane, ethylene, toluene, and benzene. The receptor model identified six major sources of PM<sub>2.5</sub> and seven major sources of VOCs. The secondary source is the main contribution source, while motor vehicles and coal burning are important primary contribution sources in PM<sub>2.5</sub>. And, industrial processes and natural gas volatilization were considered major contributors for VOCs. A health risk assessment indicated negligible non-carcinogenic risks but potential carcinogenic risks from trace metals As and Cr, and benzene within VOCs, underscoring the necessity for focused public health measures. A risk attribution analysis attributed As and Cr in PM to coal combustion and vehicular emissions. Benzene in VOCs primarily originates from fuel evaporation, and industrial and vehicular emissions. These findings underscore the potential for reducing health risks from PM and VOCs through enhanced regulation of emissions in coal, industry, and transportation. Such strategies are vital for advancing air quality management and safeguarding public health.

ToxicsVol. 12(9)
Tianjin University of Technology (CN), Nankai University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 23%
Air Quality Monitoring and Forecasting
1.23
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