Abstract
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/m3) and aromatics (0.99 μg/m3) were nearly equal for secondary organic aerosol formation potential (SOAFP) under high-NOx condition. However, under a low-NOx condition, aromatics (2.12 μg/m3) dominated, and the contribution of alkanes (1.05 μg/m3) 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.
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References
An J, Wang Y, Wu F, Zhu B (2012) Characterizations of volatile organic compounds during high ozone episodes in Beijing, China. Environ Monit Assess 184:1879–1889. https://doi.org/10.1007/s10661-011-2086-7
An J, Zhu B, Wang H, Li Y, Lin X, Yang H (2014) Characteristics and source apportionment of VOCs measured in an industrial area of Nanjing, Yangtze River Delta, China. Atmos Environ 97:206–214. https://doi.org/10.1016/j.atmosenv.2014.08.021
Atkinson R, Arey J (2003) Atmospheric degradation of volatile organic compounds. Chem Rev 103:4605–4638. https://doi.org/10.1021/cr0206420
Buzcu B, Fraser MP (2006) Source identification and apportionment of volatile organic compounds in Houston, TX. Atmos Environ 40:2385–2400. https://doi.org/10.1016/j.atmosenv.2005.12.020
Cai C, Geng F, Tie X, Yu Q, An J (2010) Characteristics and source apportionment of VOCs measured in Shanghai, China. Atmos Environ 44:5005–5014. https://doi.org/10.1016/j.atmosenv.2010.07.059
Carter WPL (1994) Development of ozone reactivity scales for volatile organic compounds. J Air Waste Manag Assoc 44:881–899. https://doi.org/10.1080/1073161X.1994.10467290
Chang T et al (2019) Evaluation of indoor air pollution during decorating process and inhalation health risks in Xi’an, China: a case study. Aerosol Air Qual Res 19:854–864. https://doi.org/10.4209/aaqr.2018.07.0261
Chen J, Lu J, Ning J, Yan Y, Li S, Zhou L (2019) Pollution characteristics, sources, and risk assessment of heavy metals and perfluorinated compounds in PM2.5 in the major industrial city of northern Xinjiang, China. Air Qual Atmos Health 12:909–918. https://doi.org/10.1007/s11869-019-00706-8
Cui L et al (2018) Decrease of VOC emissions from vehicular emissions' in Hong Kong from 2003 to 2015: results from a tunnel study. Atmos Environ 177:64–74. https://doi.org/10.1016/j.atmosenv.2018.01.020
Dumanoglu Y, Kara M, Altiok H, Odabasi M, Elbir T, Bayram A (2014) Spatial and seasonal variation and source apportionment of volatile organic compounds (VOCs) in a heavily industrialized region. Atmos Environ 98:168–178. https://doi.org/10.1016/j.atmosenv.2014.08.048
Garzon JP et al (2015) Volatile organic compounds in the atmosphere of Mexico City. Atmos Environ 119:415–429. https://doi.org/10.1016/j.atmosenv.2015.08.014
Hsu CY, Chiang HC, Shie RH, Ku CH, Lin TY, Chen MJ, Chen NT, Chen YC (2018) Ambient VOCs in residential areas near a large-scale petrochemical complex: spatiotemporal variation, source apportionment and health risk. Environ Pollut 240:95–104. https://doi.org/10.1016/j.envpol.2018.04.076
Hu B et al (2018) Characteristics and source apportionment of volatile organic compounds for different functional zones in a coastal city of Southeast China. Aerosol Air Qual Res 18:2840–2852. https://doi.org/10.4209/aaqr.2018.04.0122
Huang YS, Hsieh CC (2019) Ambient volatile organic compound presence in the highly urbanized city: source apportionment and emission position. Atmos Environ 206:45–59. https://doi.org/10.1016/j.atmosenv.2019.02.046
Hui L et al (2018) Characteristics, source apportionment and contribution of VOCs to ozone formation in Wuhan, Central China. Atmos Environ 192:55–71. https://doi.org/10.1016/j.atmosenv.2018.08.042
Kumar A, Singh BP, Punia M, Singh D, Kumar K, Jain VK (2014) Assessment of indoor air concentrations of VOCs and their associated health risks in the library of Jawaharlal Nehru University, New Delhi. Environ Sci Pollut Res 21:2240–2248. https://doi.org/10.1007/s11356-013-2150-7
Kumar A, Singh D, Kumar K, Singh BB, Jain VK (2018) Distribution of VOCs in urban and rural atmospheres of subtropical India: temporal variation, source attribution, ratios, OFP and risk assessment. Sci Total Environ 613:492–501. https://doi.org/10.1016/j.scitotenv.2017.09.096
Lei Y, Shen Z, Zhang T, Lu D, Zeng Y, Zhang Q, Xu H, Bei N, Wang X, Cao J (2019) High time resolution observation of PM2.5 Brown carbon over Xi'an in northwestern China: seasonal variation and source apportionment. Chemosphere 237:124530. https://doi.org/10.1016/j.chemosphere.2019.124530
Li B et al (2017) Characterizations of volatile organic compounds (VOCs) from vehicular emissions at roadside environment: the first comprehensive study in northwestern China. Atmos Environ 161:1–12. https://doi.org/10.1016/j.atmosenv.2017.04.029
Li BW et al (2019) Characterization of VOCs and their related atmospheric processes in a central Chinese city during severe ozone pollution periods. Atmos Chem Phys 19:617–638. https://doi.org/10.5194/acp-19-617-2019
Lim YB, Ziemann PJ (2009) Effects of molecular structure on aerosol yields from OH radical-initiated reactions of linear, branched, and cyclic alkanes in the presence of NOx. Environ Sci Technol 43:2328–2334. https://doi.org/10.1021/es803389s
Liu B et al (2016) Characterization and source apportionment of volatile organic compounds based on 1-year of observational data in Tianjin, China. Environ Pollut 218:757–769. https://doi.org/10.1016/j.envpol.2016.07.072
Liu XG et al (2013) Formation and evolution mechanism of regional haze: a case study in the megacity Beijing, China. Atmos Chem Phys 13:4501–4514. https://doi.org/10.5194/acp-13-4501-2013
Liu Y, Shao M, Fu L, Lu S, Zeng L, Tang D (2008) Source profiles of volatile organic compounds (VOCs) measured in China: part I. Atmos Environ 42:6247–6260. https://doi.org/10.1016/j.atmosenv.2008.01.070
Loza CL et al (2014) Secondary organic aerosol yields of 12-carbon alkanes. Atmos Chem Phys 14:1423–1439. https://doi.org/10.5194/acp-14-1423-2014
Lyu XP, Chen N, Guo H, Zhang WH, Wang N, Wang Y, Liu M (2016) Ambient volatile organic compounds and their effect on ozone production in Wuhan, Central China. Sci Total Environ 548:483–483. https://doi.org/10.1016/j.scitotenv.2016.01.168
Nelson PF, Quigley SM (1984) The hydrocarbon composition of exhaust emitted from gasoline fuelled vehicles. Atmos Environ (1967) 18:79–87. https://doi.org/10.1016/0004-6981(84)90230-0
Ng NL, Kroll JH, Chan AWH, Chhabra PS, Flagan RC, Seinfeld JH (2007) Secondary organic aerosol formation from m-xylene, toluene, and benzene. Atmos Chem Phys 7:3909–3922. https://doi.org/10.5194/acp-7-3909-2007
Paatero P (1997) Least squares formulation of robust non-negative factor analysis. Chemometrics Intell Lab 37:23–35. https://doi.org/10.1016/S0169-7439(96)00044-5
Peré-Trepat E, Kim E, Paatero P, Hopke PK (2007) Source apportionment of time and size resolved ambient particulate matter measured with a rotating DRUM impactor. Atmos Environ 41:5921–5933. https://doi.org/10.1016/j.atmosenv.2007.03.022
Rappengluck B, Oyola P, Olaeta I, Fabian P (2000) The evolution of photochemical smog in the metropolitan area of Santiago de Chile. J Appl Meteorol 39:275–290. https://doi.org/10.1175/1520-0450(2000)039<0275:teopsi>2.0.co;2
Russo RS, Zhou Y, White ML, Mao H, Talbot R, Sive BC (2010) Multi-year (2004-2008) record of nonmethane hydrocarbons and halocarbons in New England: seasonal variations and regional sources. Atmos Chem Phys 10:4909–4929. https://doi.org/10.5194/acp-10-4909-2010
Saraga DE, Maggos TE, Sfetsos A, Tolis EI, Andronopoulos S, Bartzis JG, Vasilakos C (2010) PAHs sources contribution to the air quality of an office environment: experimental results and receptor model (PMF) application. Air Qual Atmos Health 3:225–234. https://doi.org/10.1007/s11869-010-0074-7
Shao P, An J, Xin J, Wu F, Wang J, Ji D, Wang Y (2016) Source apportionment of VOCs and the contribution to photochemical ozone formation during summer in the typical industrial area in the Yangtze River Delta, China. Atmos Res 176-177:64–74. https://doi.org/10.1016/j.atmosres.2016.02.015
Silva JS, Rojas JP, Norabuena M, Seguel RJ (2018) Ozone and volatile organic compounds in the metropolitan area of Lima-Callao, Peru. Air Qual Atmos Health 11:993–1008. https://doi.org/10.1007/s11869-018-0604-2
Song C, Liu B, Dai Q, Li H, Mao H (2019) Temperature dependence and source apportionment of volatile organic compounds (VOCs) at an urban site on the north China plain. Atmos Environ 207:167–181. https://doi.org/10.1016/j.atmosenv.2019.03.030
Song M, Tan Q, Feng M, Qu Y, Liu X, An J, Zhang Y (2018) Source apportionment and secondary transformation of atmospheric nonmethane hydrocarbons in Chengdu, Southwest China. J Geophys Res Atmos 123:9741–9763. https://doi.org/10.1029/2018jd028479
Sun J, Shen Z, Zhang L, Zhang Y, Zhang T, Lei Y, Niu X, Zhang Q, Dang W, Han W, Cao J, Xu H, Liu P, Li X (2019a) Volatile organic compounds emissions from traditional and clean domestic heating appliances in Guanzhong Plain, China: emission factors, source profiles, and effects on regional air quality. Environ Int 133:105252. https://doi.org/10.1016/j.envint.2019.105252
Sun J, Shen Z, Zhang Y, Zhang Z, Zhang Q, Zhang T, Niu X, Huang Y, Cui L, Xu H, Liu H, Cao J, Li X (2019b) Urban VOC profiles, possible sources, and its role in ozone formation for a summer campaign over Xi'an, China. Environ Sci Pollut Res 26:27769–27782. https://doi.org/10.1007/s11356-019-05950-0
Tohid L et al (2019) Spatiotemporal variation, ozone formation potential and health risk assessment of ambient air VOCs in an industrialized city in Iran. Atmos Pollut Res 10:556–563. https://doi.org/10.1016/j.apr.2018.10.007
USEPA (2009) USEPA OSWER risk assessment guidance for superfund: volume I (part a: human health evaluation manual; part F, supplemental guidance for lnhalation risk assessment) https://www.epa.gov/risk/risk-assessment-guidance-superfund-rags-part-f#implement.
USEPA (2014) US EPA: positive matrix factorization model for environmental data analyses. . https://www.epa.gov/air-research/positive-matrix-factorization-model-environmental-data-analyses.
USEPA (2018) Health effects notebook for hazardous air pollutants. https://www.epa.gov/haps/health-effects-notebook-hazardous-air-pollutants.
Watson JG, Chow JC, Fujita EM (2001) Review of volatile organic compound source apportionment by chemical mass balance. Atmos Environ 35:1567–1584. https://doi.org/10.1016/s1352-2310(00)00461-1
Yang W et al (2018) Volatile organic compounds at a rural site in Beijing: influence of temporary emission control and wintertime heating. Atmos Chem Phys 18:12663–12682. https://doi.org/10.5194/acp-18-12663-2018
Zhang Q, Shen Z, Ning Z, Wang Q, Cao J, Lei Y, Sun J, Zeng Y, Westerdahl D, Wang X, Wang L, Xu H (2018a) Characteristics and source apportionment of winter black carbon aerosols in two Chinese megacities of Xi'an and Hong Kong. Environ Sci Pollut Res 25:33783–33793. https://doi.org/10.1007/s11356-018-3309-z
Zhang Y, Yang W, Simpson I, Huang X, Yu J, Huang Z, Wang Z, Zhang Z, Liu D, Huang Z, Wang Y, Pei C, Shao M, Blake DR, Zheng J, Huang Z, Wang X (2018b) Decadal changes in emissions of volatile organic compounds (VOCs) from on-road vehicles with intensified automobile pollution control: case study in a busy urban tunnel in South China. Environ Pollut 233:806–819. https://doi.org/10.1016/j.envpol.2017.10.133
Zhang Z et al (2016) Spatiotemporal patterns and source implications of aromatic hydrocarbons at six rural sites across China’s developed coastal regions. J Geophys Res Atmos 121:6669–6687. https://doi.org/10.1002/2016jd025115
Zheng H et al (2018) Monitoring of volatile organic compounds (VOCs) from an oil and gas station in northwest China for 1 year. Atmos Chem Phys 18:4567–4595. https://doi.org/10.5194/acp-18-4567-2018
Zou Y et al (2015) Characteristics of 1 year of observational data of VOCs, NOx and O-3 at a suburban site in Guangzhou, China. Atmos Chem Phys 15:6625–6636. https://doi.org/10.5194/acp-15-6625-2015
Funding
This study was funded by the National Natural Science Foundation of China projects (No. 21866029), Science and Technology Plan of Shihezi (No. 2018JZ08), and Beijing Environment Foundation for Young Talents (BEFYT). The authors were grateful to the Shihezi Environmental Monitoring Station for meteorological data.
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Ding, Y., Lu, J., Liu, Z. et al. Volatile organic compounds in Shihezi, China, during the heating season: pollution characteristics, source apportionment, and health risk assessment. Environ Sci Pollut Res 27, 16439–16450 (2020). https://doi.org/10.1007/s11356-020-08132-5
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DOI: https://doi.org/10.1007/s11356-020-08132-5