Elsevier

Chemosphere

Volume 168, February 2017, Pages 1293-1301
Chemosphere

Sources of formaldehyde and their contributions to photochemical O3 formation at an urban site in the Pearl River Delta, southern China

https://doi.org/10.1016/j.chemosphere.2016.11.140Get rights and content

Highlights

  • Secondary formation was the greatest contributor to ambient HCHO, followed by vehicular exhaust and solvent usage.

  • Alkenes was the most important group contributing to the secondary formation of HCHO.

  • trans-2-Butene had the largest contribution to secondary HCHO formation, followed by i-butene, cis-2-butene and propene.

  • Secondary formation contributed about 2.8 ppbv and 1.1 × 107 molecule/cm3 to the production of O3 and HOx radical.

Abstract

Two models (the Positive Matrix Factorization (PMF) model and a photochemical box model with Master Chemical Mechanism (PBM-MCM)) were applied to analyze the formaldehyde (HCHO) data collected in July 2006 at an urban site (GPEMC) in the Pearl River Delta (PRD), southern China. Three major HCHO sources (secondary formation, vehicular exhaust, and solvent usage) were identified and they were found to contribute in average 53%, 31% and 16% respectively to the total HCHO loading at GPEMC. Alkenes was the most important group contributing to the secondary formation of HCHO, followed by aromatics and alkanes. Among them, trans-2-butene had the largest contribution to secondary HCHO formation, with the average percentage of 16 ± 4%, followed by i-butene, cis-2-butene, propene, isoprene and m,p-xylene. Secondary HCHO and HCHO emitted from vehicular emissions contributed comparably to ground-based measured O3 and HOx radical at GPEMC, higher than that from solvent usage (1.3 ± 0.1 ppbv and (4.1 ± 0.3) × 106 molecule/cm3 for O3 and HOx radical). Our results highlight the importance of secondary HCHO formation for both photochemical formation of ozone and the oxidative capacity of the atmosphere in this region. It is hence critical for policy makers to propose strategies for controlling VOCs from vehicular emissions in order to reduce secondary HCHO formation. Our results also have important implication for improving the understanding of the source apportionments of HCHO and their contributions to photochemical pollution in the PRD region in China.

Introduction

Formaldehyde (HCHO) is an abundant carbonyl compound that plays an important role in atmospheric photochemistry and air quality. Oxidation or secondary formation of HCHO can provide radical sources (i.e., HOx) that drive ozone formation and HCHO is hence a large component of the total VOC (Volatile Organic Compound) reactivity of the atmosphere (Steiner et al., 2008). Formaldehyde is also a hazardous pollutant that is listed as a human carcinogen highly associated with nasopharyngeal carcinoma and probably leukemia (WHO, 2000).

The primary direct sources of formaldehyde include biomass burning, fossil fuel combustion, solvent usage, industrial and biogenic emissions (Parrish et al., 2012). In addition, secondary formation through photo-oxidation of methane and non-methane hydrocarbons is another important source of HCHO in different environments (Atkinson et al., 2006). Taking propene (C3H6) as an example, secondary formation of HCHO can be represented by the following simplified mechanism:OH + C3H6 → HYPROPO2 (R1)OH + C3H6 → IPROPOLO2 (R2)NO + HYPROPO2 → HYPROPO + NO2 (R3)IPROPOLO2 + NO → IPROPOLO + NO2 (R4)HYPROPO → CH3CHO + HCHO + HO2 (R5)IPROPOLO → CH3CHO + HCHO + HO2 (R6)

Through oxidation of C3H6 initiated by the OH radical, propyl peroxy radical (HYPROPO2 and IPROPOLO2) could be formed (R1 and R2), which could further oxidize NO to produce propyl alkoxy radical (HYPROPO and IPROPOLO, R3 and R4). The propyl alkoxy radical could react with O2, resulting in the formation of HCHO and HO2 radical (R5 and R6). In addition, the oxidation of propene by other oxidants, i.e., O3 and NO3, could lead to the formation of HCHO. On the other hand, HCHO could be also formed from the scission of a C-C bond of alkoxy radicals through photolysis (Luecken et al., 2012).

Photolysis and reaction with OH radical are the major sinks of HCHO in the atmosphere (Ervens and Kreidenweis, 2007, Lei et al., 2009). Oxidation of HCHO can lead to the formation of HO2 radical and ozone, playing important roles in local air pollution. Therefore, it is essential to identify the major sources of HCHO and to quantify their contributions on ozone formation in order to effectively control photochemical pollution in a given area. Source identification and apportionment are also critical for better understanding the formation of photochemical smog and assessing their impacts on human health and atmospheric chemistry based on the important roles of formation and removal of HCHO in photochemistry (Louie et al., 2012, Zhong et al., 2013).

As one of the most important developing regions in China, the Pearl River Delta (PRD) region is facing severe photochemical pollution in recent years (Wang et al., 2009, Zheng et al., 2010). Previous studies have been reported that O3 formation in the urban areas in the PRD region is mainly VOC-limited, whereas it is NOx-limited in the rural areas. For example, Zheng et al. (2010) found that photochemical O3 production was controlled by VOCs in urban areas in the PRD region and possibly limited to NOx in the northern or northeastern rural area in PRD based on the investigation of air monitoring data of 2006–2007 from the PRD regional air quality monitoring network. Similar results were found by investigating the VOCs/NOx plots in the PRD region (Zou et al., 2015). Furthermore, by developing a speciated VOC emission inventory and calculating the O3 formation potential of each species, Zheng et al. (2009) concluded that isoprene emitted from biogenic emission made the greatest contribution to O3 formation in the PRD region. On the other hand, although many studies were conducted to investigate the source apportionments of HCHO with various methods, including the ratios between HCHO and other aldehydes, correlation between HCHO and tracers of other primary emissions, emission inventories, emission-based measurements and receptor models (Duan et al., 2008, Li et al., 2010, Wang et al., 2010, Ho et al., 2012, Louie et al., 2012), the contributions of primary emissions and secondary formation of HCHO still needed to be further quantified. Yuan et al. (2012a) analyzed qualitatively the influence of primary emissions and secondary formation on ambient HCHO by investigating the correlation between HCHO and tracers of primary emissions (CO) and secondary formation (O3 + NO2) in the PRD region. Based on in-situ measurements, Ho et al., 2006, Ho et al., 2012 estimated the abundance of HCHO from the emissions of commercial cooking and vehicular exhaust sources in Hong Kong. Dong et al. (2014) calculated the emission factors of HCHO from heavy-duty diesel vehicles with chassis dynamometer. Based on OH reactivity of HCHO different methods were adopted to quantify their contributions to ozone formation, including the maximum incremental reactivity (MIR) and propene-equivalent concentration of species methods. However, those methods only estimate ozone formation under optimum or ideal conditions (Dong et al., 2014, Duan et al., 2008, Louie et al., 2012, Shao et al., 2009). Although Lou et al. (2010) and Cheng et al. (2010) showed that HCHO was an important precursor of O3 and the contribution to ozone formation was evaluated in the PRD region with observation-based model, they presented the level of O3 formed from photo-oxidation of total measured HCHO only, not differentiating the contributions from different sources (Li et al., 2014). Hence the major sources of HCHO and their contributions to ozone formation and the oxidative capacity of the atmosphere in the PRD region currently remain unclear.

In this study, the relative contributions of primary emissions and secondary formation of HCHO were characterized using a receptor model (i.e., positive matrix factorization (PMF) model), based on the data collected from an extensive field measurement at an urban site in the PRD region in July 2006. By combining the PMF model with a photochemical box model, the contributions of the above sources, particularly the different primary emissions to photochemical O3 formation were quantified. Though stringent control measures have been implemented in Guangdong Province to control emission from vehicles and industrial sources, the results of this study can provide reference data for the evaluation of the effectiveness of the control measures adopted after 2006, which is helpful for the development of future control strategies (Louie et al., 2012, Zheng et al., 2010).

Section snippets

Field measurement

As a part of the Program of Regional Integrated Experiments on Air Quality over the Pearl River Delta (PRIDE-PRD 2006) campaign, continuous HCHO samples were collected at the urban center of the Guangzhou City (23.13°N, 113.26°E). The sampling site is located on the roof (∼50 m above ground level (a.g.l)) of the Guangdong Provincial Environmental Monitoring Center (GPEMC) building, which is surrounded by railways, high rises, shops, residential apartments, highways, and major roads including an

General characteristics of HCHO

Table 1 presents the average HCHO concentration at the GPEMC site, while the concentrations at other urban areas in previous studies are also given in the table. The mean HCHO concentration measured in this study was 9.3 ± 4.5 μg/m3 (average ± S.D.), much lower than those measured at other urban areas in Guangzhou, such as Liwan, Wushan and Tianhe districts in 2003 (13.7 ± 2.2 μg/m3, mean ± S.D.) and 2005 (12.4 ± 7.16 μg/m3), but much higher than those in Foshan (6.03 ± 1.80 μg/m3), a

Conclusions

In this study, an advance receptor model, Positive Matrix Factorization and a photochemical box model coupled with Master Chemical Mechanism (PBM-MCM) were combined for the first time to extract the detailed information of source apportionments of HCHO and to quantify the contributions of these sources to photochemical O3 formation and the budget of HOx radical at an urban site (GPEMC) in the PRD region. The three HCHO sources identified at GPEMC by the PMF model were vehicular exhaust,

Acknowledgments

This study was supported by the National Natural Science Foundation of China (No. 41405112), the National Science Fund for Distinguished Young Scholars (No.41425020) and the internal grant of Sun Yat-sen University (No. 15lgpy18). We thank Prof. Hai Guo of the Hong Kong Polytechnic University for the assistance of the simulation by the PBM-MCM model.

References (58)

  • Y. Liu et al.

    Source profiles of volatile organic compounds (VOCs) measured in China: Part I

    Atmos. Environ.

    (2008)
  • H.X. et al.

    Carbonyl compounds in the ambient air of hazy days and clear days in Guangzhou, China

    Atmos. Res.

    (2009)
  • D.J. Luecken et al.

    Regional sources of atmospheric formaldehyde and acetaldehyde, and implication for atmospheric modeling

    Atmos. Environ.

    (2012)
  • X.P. Lyu et al.

    Re-examination of C1-C5 alkyl nitrates in Hong Kong using an observation-based model

    Atmos. Environ.

    (2015)
  • X.B. Pang et al.

    Seasonal and diurnal variations of carbonyl compounds in Beijing ambient air

    Atmos. Environ.

    (2006)
  • B. Wang et al.

    Characteristics of carbonyls: concentrations and source strengths for indoor and outdoor residential microenvironments in China

    Atmos. Environ.

    (2007)
  • J.L. Wang et al.

    Characterization of ozone precursors in the Pearl River Delta by time series observation of non-methane hydrocarbons

    Atmos. Envrion.

    (2008)
  • B. Yuan et al.

    Measurements of ambient hydrocarbons and carbonyls in the Pearl River Delta (PRD), China

    Atmos. Res.

    (2012)
  • Y.H. Zhang et al.

    Regional integrated experiments on air quality over Pearl River Delta 2004 (PRIDE-PRD2004): overview

    Atmos. Environ.

    (2008)
  • Y.L. Zhang et al.

    Source attributions of hazardous aromatic hydrocarbons in urban, suburban and rural areas in the Pearl River Delta region

    J. Hazard. Mater.

    (2013)
  • Y.L. Zhang et al.

    Sources of C2-C4 alkenes, the most important ozone nonmethane hydrocarbon precursors in the Pearl River Delta region

    Sci. Total Environ.

    (2015)
  • J.Y. Zheng et al.

    Ground-level ozone in the Pearl River Delta region: analysis of data from a recently established regional air quality monitoring network

    Atmos. Environ.

    (2010)
  • L.J. Zhong et al.

    Science-policy interplay: air quality management in the Pearl River Delta region and Hong Kong

    Atmos. Environ.

    (2013)
  • R. Atkinson et al.

    Atmospheric degradation of volatile organic compounds

    Chem. Rev.

    (2003)
  • R. Atkinson et al.

    Evaluated kinetic and photochemical data for atmospheric chemistry: volume II – gas phase reactions of organic species

    Atmos. Chem. Phys.

    (2006)
  • W.P.L. Carter et al.

    Experimental Evaluation of Ozone Forming Potentials of Motor Vehicle Emissions

    (1999)
  • W.T. Chen et al.

    Understanding primary and secondary sources of ambient carbonyl compounds in Beijing using the PMF model

    Atmos. Chem. Phys.

    (2014)
  • H.R. Cheng et al.

    On the relationship between ozone and its precursors in the Pearl River Delta: application of an observation-based model (OBM)

    Environ. Sci. Pollut. Res. Int.

    (2010)
  • B. Ervens et al.

    SOA formation by biogenic compounds: data evaluation and application

    Environ. Sci. Technol.

    (2007)
  • Cited by (93)

    View all citing articles on Scopus
    View full text