Key Laboratory for Green Processing of Chemical Engineering of Xinjiang Production and Construction Corps/School of Chemistry and Chemical Engineering, Shihezi University, Shihezi, 832003, China.
Shihezi Environmental Monitoring Station, Shihezi, 832000, China.
Environ Sci Pollut Res Int. 2020 May;27(14):16439-16450. doi: 10.1007/s11356-020-08132-5. Epub 2020 Mar 2.
From November 2018 to March 2019, the mixing ratios of 57 types of volatile organic compounds (VOCs) were measured using gas chromatography-mass spectrometry in Shihezi. The results depicted that the average mixing ratios of VOCs were 58.48 ppbv and alkanes (34.15 ppbv) showed the largest contribution, followed by ethyne (20.16 ppbv), alkenes (2.62 ppbv), and aromatics (1.55 ppbv). Based on the positive matrix factorization (PMF) model result, coal burning (39.83%), traffic-related exhaust (26.87%), liquefied petroleum gas/natural gas usage (LPG/NG) (17.32%), fuel evaporation and paint usage (9.02%), and industrial emission (6.96%) were distinguished. Secondary formation potential was applied to demonstrate the probability of secondary pollution; the results indicated that alkanes (27.30 ppbv) and alkenes (21.42 ppbv) played leading roles in ozone formation potential (OFP) and the contributions of alkanes (1.05 μg/m) and aromatics (0.99 μg/m) were nearly equal for secondary organic aerosol formation potential (SOAFP) under high-NOx condition. However, under a low-NOx condition, aromatics (2.12 μg/m) dominated, and the contribution of alkanes (1.05 μg/m) was lower. Monte Carlo simulation results showed that exposure to 1,3-butadiene and benzene may contribute potential carcinogenic risks to local residents; PMF results showed that reducing traffic-related and industrial emissions as well as coal burning was more effective in controlling carcinogenic risks. This study provides a crucial theoretical basis for decision-makers to minimize local air pollution more effectively.
从 2018 年 11 月到 2019 年 3 月，在石河子使用气相色谱-质谱法测量了 57 种挥发性有机化合物（VOC）的混合比。结果表明，VOC 的平均混合比为 58.48 ppbv，其中烷烃（34.15 ppbv）的贡献最大，其次是乙炔（20.16 ppbv）、烯烃（2.62 ppbv）和芳烃（1.55 ppbv）。基于正定矩阵因子分解（PMF）模型的结果，区分了煤燃烧（39.83%）、与交通相关的废气（26.87%）、液化石油气/天然气使用（LPG/NG）（17.32%）、燃料蒸发和油漆使用（9.02%）和工业排放（6.96%）。二次形成潜力用于表明二次污染的可能性；结果表明，烷烃（27.30 ppbv）和烯烃（21.42 ppbv）在臭氧形成潜力（OFP）中起主要作用，烷烃（1.05μg/m）和芳烃（0.99μg/m）在高氮氧化物条件下对二次有机气溶胶形成潜力（SOAFP）的贡献几乎相等。然而，在低氮氧化物条件下，芳烃（2.12μg/m）占主导地位，烷烃（1.05μg/m）的贡献较低。蒙特卡罗模拟结果表明，接触 1,3-丁二烯和苯可能会对当地居民造成潜在的致癌风险；PMF 结果表明，减少与交通和工业相关的排放以及煤燃烧更有利于控制致癌风险。本研究为决策者提供了一个至关重要的理论基础，以便更有效地降低当地空气污染。
