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Published on: August 19, 2019
Ambient BTX measurements in Suzhou, China
Fenjuan Wang1, Francesca Costabile, Fenglei Liu
1Institute of Nuclear and New Energy Technology, Tsinghua University, Energy Science Building, Beijing, China. wangfj06@mails.tsinghua.edu.cn
This study analyzed benzene, toluene, and xylenes (BTX) air pollution in Suzhou, China. Results reveal significant toluene pollution from local sources, highlighting the need for targeted environmental protection strategies.
Area of Science:
- Environmental Science
- Atmospheric Chemistry
- Urban Air Quality Monitoring
Background:
- Established Sino-Italian environmental protection cooperation in 2002.
- Developed a comprehensive air quality monitoring network in urban Suzhou adhering to European standards.
- Addresses a gap in systematic analysis of benzene, toluene, and xylenes (BTX) pollution in China.
Purpose of the Study:
- To systematically analyze BTX pollution in urban Suzhou, China.
- To investigate the spatial and temporal distribution of BTX concentrations.
- To compare manual and automatic measurement results for BTX.
Main Methods:
- Utilized passive samplers (Analyst®) for BTX investigation in 2003.
- Created isoconcentration maps to depict spatial distribution of BTX.
- Employed continuous BTX measurement via automatic gas chromatography at fixed stations (2005).
Main Results:
- Detailed city-scale BTX concentration maps were generated for the first time in China.
- Similar seasonal trends observed at urban residential and heavy traffic zones, with lowest similarity in August.
- Average daily BTX profiles showed morning and evening peaks, particularly in spring and winter.
- Daily average concentrations: Benzene (2.64 µg/m³), Toluene (11.52 µg/m³), m,p-Xylenes (3.52 µg/m³).
- Lower benzene/toluene ratio indicated significant toluene pollution from local stationary sources.
Conclusions:
- BTX pollution in Suzhou exhibits distinct spatial and temporal patterns.
- Toluene pollution levels are a concern, likely stemming from local stationary sources.
- The study provides foundational data for urban air quality management in China.
- Manual and automatic methods showed comparable trends despite concentration differences.
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