Volatile Organic Compounds in a Petrochemical Region in Arid of NW China: Chemical Reactivity and Source Apportionment

Abstract

We measured volatile organic compounds (VOCs) during the heating, non-heating, and sandstorm periods in the air of the Dushanzi district in NW China and investigated their concentrations, chemical reactivity, and sources. The observed concentrations of total VOCs (TVOCs) were 22. 35 ± 17.60, 33.20 ± 34.15, and 17.05 ± 13.61 ppbv in non-heating, heating, and sandstorm periods, respectively. C 2 -C 5 alkanes, C 2 -C 3 alkenes, benzene, and toluene were the most abundant species, contributing more than 60% of the TVOCs. Among these VOCs, alkenes such as propene had the highest chemical reactivity, accounting for more than 60% of total hydroxyl radical loss rate (L OH ) and ozone formation potential (OFP). Chemical reactivity was the highest in the heating period. The average reaction rate constant (K OH -avg) and average maximum incremental reactivity coefficient (MIR-avg) of the total observed VOCs were (8.72 ± 1.42) × 10 −12 cm 3 /mol·s and 2.42 ± 0.16 mol/mol, respectively. The results of the source apportionment via the Positive Matrix Factorization (PMF) model showed that coal combustion (43.08%) and industrial processes (38.86%) were the major sources of VOCs in the air of the Dushanzi district. The contribution of coal combustion to VOCs was the highest in the heating period, while that of industrial solvents and oil volatilization was the lowest.completion of each sampling. After the sampling, the samples were stored at room temperature and sent to the lab for analysis after a month.

Characterization, source apportionment, and assessment of volatile organic compounds in a typical urban area of southern Xinjiang, China

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Statistical assessment and modeling of benzene level in atmosphere in Timiş County, Romania

“…They proved the dependence between the traffic and the VOCs concentration. Zhang et al (2019) measured the concentrations of volatile organic compounds during different periods in a district of China. They investigated the sources and the VOCs chemical reactivity using the positive matrix factorization (PMF) model and showed that the highest contribution to VOCs emission was burning coal in the heating period.…”

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