Particulate Matter 2.5 concentration prediction system based on uncertainty analysis and multi-model integration DOI
Yamei Chen, Jianzhou Wang, Runze Li

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 958, P. 177924 - 177924

Published: Dec. 9, 2024

Language: Английский

Emissions of intermediate-volatility and semi-volatile organic compounds (I/SVOCs) from different cumulative-mileage diesel vehicles at various ambient temperatures DOI Creative Commons

Shuwen Guo,

Xuan Zheng, Xiao He

et al.

Atmospheric chemistry and physics, Journal Year: 2025, Volume and Issue: 25(4), P. 2695 - 2705

Published: March 3, 2025

Abstract. The role of intermediate-volatility and semi-volatile organic compounds (I/SVOCs) in heavy-duty diesel vehicle (HDDV) exhaust remains a significant research gap previous studies, with limited focus on cumulative mileage ambient temperature effects. This study analyzed gaseous particulate I/SVOCs from four in-use HDDVs using thermal desorption two-dimensional gas chromatography–mass spectrometry (TD–GC × GC–MS). total I/SVOC emission factors (EFs) ranged 9 to 406 mg km−1, 79 %–99 % the phase. High-mileage vehicles (HMVs) emitted at levels 8 times greater than low-mileage (LMVs), highlighting influence mileage. Emission deterioration occurred under both cold-start hot-running conditions, though HMVs showed no extra sensitivity cold starts. also exhibited increasing emissions component volatility, alongside higher proportion oxygenated (O-I/SVOCs) LMVs (65 vs. 42 %). Unique such as phenol, alkenes, cycloalkanes were detected exclusively HMV emissions. Temperature effects most pronounced 0 °C, where only increased significantly, while LMV remained relatively stable. A strong linear correlation (R2 = 0.93) between EFs modified combustion efficiency (MCE) suggested that reduced is key driver 4 secondary aerosol formation potential (SOAFP) compared LMVs. increase was smaller 8-fold rise EFs, likely due O-I/SVOC content

Language: Английский

Citations

0

Particulate Matter 2.5 concentration prediction system based on uncertainty analysis and multi-model integration DOI
Yamei Chen, Jianzhou Wang, Runze Li

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 958, P. 177924 - 177924

Published: Dec. 9, 2024

Language: Английский

Citations

0