Optical properties and molecular compositions of water-soluble and water-insoluble brown carbon (BrC) aerosols in northwest China

Abstract

Brown carbon (BrC) contributes significantly to aerosol light absorption and thus can affect the Earth's radiation balance and atmospheric photochemical processes. In this study, we examined the light absorption properties and molecular compositions of water-soluble (WS-BrC) and water-insoluble (WI-BrC) BrC in PM${}_{\mathrm{2.5}}$ collected from a rural site in the Guanzhong Basin – a highly polluted region in northwest China. Both WS-BrC and WI-BrC showed elevated light absorption coefficients (Abs) in winter (4–7 times those in summer) mainly attributed to enhanced emissions from residential biomass burning (BB) for heating of homes. While the average mass absorption coefficients (MACs) at 365 nm (MAC${}_{\mathrm{365}}$) of WS-BrC were similar between daytime and nighttime in summer ($\mathrm{0.99}\pm \mathrm{0.17}$ and $\mathrm{1.01}\pm \mathrm{0.18}$ m${}^{\mathrm{2}}$ g${}^{-\mathrm{1}}$, respectively), the average MAC${}_{\mathrm{365}}$ of WI-BrC was more than a factor of 2 higher during daytime ($\mathrm{2.45}\pm \mathrm{1.14}$ m${}^{\mathrm{2}}$ g${}^{-\mathrm{1}}$) than at night ($\mathrm{1.18}\pm \mathrm{0.36}$ m${}^{\mathrm{2}}$ g${}^{-\mathrm{1}}$). This difference was partly attributed to enhanced photochemical formation of WI-BrC species, such as oxygenated polycyclic aromatic hydrocarbons (OPAHs). In contrast, the MACs of WS-BrC and WI-BrC were generally similar in winter and both showed few diel differences. The Abs of wintertime WS-BrC correlated strongly with relative humidity, sulfate and ${\mathrm{NO}}_{\mathrm{2}}$, suggesting that aqueous-phase reaction is an important pathway for secondary BrC formation during the winter season in northwest China. Nitrophenols on average contributed $\mathrm{2.44}\pm \mathrm{1.78}$ % of the Abs of WS-BrC in winter but only$\mathrm{0.12}\pm \mathrm{0.03}$ % in summer due to faster photodegradation reactions. WS-BrC and WI-BrC were estimated to account for $\mathrm{0.83}\pm \mathrm{0.23}$ % and$\mathrm{0.53}\pm \mathrm{0.33}$ %, respectively, of the total down-welling solar radiation in the ultraviolet (UV) range in summer, and $\mathrm{1.67}\pm \mathrm{0.72}$ % and$\mathrm{2.07}\pm \mathrm{1.24}$ %, respectively, in winter. The total absorption by BrC in the UV region was about 55 %–79 % relative to the elemental carbon (EC) absorption.

1 Introduction

Light-absorbing organic matter, termed brown carbon (BrC), has been recognized as an important climate forcer due to its ability to directly interact with both incoming solar radiation and outgoing terrestrial radiation (Andreae and Gelencser, 2006; Laskin et al., 2015). BrC is a complex mixture of organic compounds, which collectively show a light absorption profile increasing exponentially from the visible (Vis) to the ultraviolet (UV) range. Due to the high abundance of organic aerosol in continental regions, especially in places with intensive anthropogenic pollution, the contribution of BrC to aerosol absorption in the near-UV range is potentially significant (Kirillova et al., 2014b; Huang et al., 2018; Yan et al., 2015a). For example, a model study showed that BrC contributes up to $+$0.25 W m${}^{-\mathrm{2}}$ of radiative forcing on a planetary scale, which is approximately 19 % of the absorption by anthropogenic aerosols (Feng et al., 2013). Moreover, the strong absorption of BrC in the UV spectral region can reduce the solar actinic flux and subsequently affect atmospheric photochemistry and tropospheric ozone production (Jacobson, 1998; Mohr et al., 2013).

A thorough understanding of the sources and transformation processes of BrC in the atmosphere is important, but it is still lacking. Biomass and biofuel combustion, including forest fires and burning of wood and agricultural wastes for residential cooking and heating, has been shown to be a particularly important source of BrC (Washenfelder et al., 2015; Desyaterik et al., 2013; Lin et al., 2017). BrC can also be emitted directly from coal burning (Yan et al., 2017) and biogenic release of fungi, plant debris and humic matter (Rizzo et al., 2011, 2013). In addition, recent studies suggested that secondary BrC can be formed through various reaction pathways, including photooxidation of aromatic volatile organic compounds (VOCs) (Lin et al., 2015; Liu et al., 2016), reactive uptake of isoprene epoxydiols onto preexisting sulfate aerosols (Lin et al., 2014), aqueous oxidation of phenolic compounds and $\mathit{\alpha }$-dicarbonyls (Chang and Thompson, 2010; Nozière and Esteve, 2005; Smith et al., 2016; Yu et al., 2014; Xu et al., 2018), and reactions of ammonia or amines with carbonyl compounds in particles or cloud droplets (Nozière et al., 2007; Laskin et al., 2010; Updyke et al., 2012; Nguyen et al., 2012; De Haan et al., 2018; Powelson et al., 2014). However, atmospheric oxidation processes may also cause “photobleach” – photodegradation of BrC into less-light-absorbing compounds (Lee et al., 2014; Romonosky et al., 2015; Sumlin et al., 2017), which may complicate the understanding of BrC in the atmosphere.

A common way to quantify the absorption properties of BrC is to measure the absorbance of aerosol extracts over a wide wavelength range using spectrophotometers. This approach can differentiate the interference of black carbon (BC) or mineral dust (Hecobian et al., 2010). Most of the studies use ultrapure water to extract organic substance in the aerosol and thus measure the optical properties of water-soluble BrC (WS-BrC) (Wu et al., 2019; Hecobian et al., 2010; Kirillova et al., 2014b). In addition, some studies analyzed the light absorption of BrC extracted using polar organic solvents such as methanol or acetone (Liu et al., 2013; Huang et al., 2018; Kim et al., 2016). Since such extracts contain both water-soluble and water-insoluble chromophores, little information is available regarding the contribution and formation of water-insoluble BrC (WI-BrC). However, it is important to understand WI-BrC given the fact that some water-insoluble organic compounds, such as polycyclic aromatic hydrocarbons and their derivatives, are effective light absorbers and that the mass absorption of WI-BrC could be even greater than that of the water-soluble fraction (Chen and Bond, 2010; Huang et al., 2018; Sengupta et al., 2018). Thus, it is necessary to extract water-soluble and water-insoluble organic components separately, e.g., using solvents with different polarity in sequence. Combining with measurements of BrC molecular compositions, the UV–vis absorption properties of the water-soluble and water-insoluble extracts may help us better understand the sources and formation mechanisms of light-absorbing compounds in the atmosphere.

China has been experiencing serious atmospheric pollution conditions in recent decades, and both model and field results showed elevated light absorption of BrC in most regions of China (Huang et al., 2018; Cheng et al., 2011; Yan et al., 2017; Li et al., 2016b) compared to developed countries such as the US (Hecobian et al., 2010; Washenfelder et al., 2015) and European countries (Mohr et al., 2013; Teich et al., 2017). However, BrC-related data are scarce in the Guanzhong Basin (Shen et al., 2017; Huang et al., 2018), which is one of the most polluted regions in China (van Donkelaar et al., 2010). Here we present measurements of the optical properties of WS-BrC and WI-BrC in PM${}_{\mathrm{2.5}}$ collected from a rural area of the Guanzhong Basin during winter and summer. We also measured the concentrations of several BrC compounds as well as those of organic carbon (OC), elemental carbon (EC), water-soluble OC (WSOC) and inorganic ions. These data were analyzed to examine the effects of source emissions, daytime photochemical oxidation and aqueous-phase chemistry on WS-BrC and WI-BrC components in different seasons.

2 Experimental section

2.1 Sample collection

The sampling was conducted at a small village (namely Lincun, 34${}^{\circ }$44${}^{\prime }$ N and 109${}^{\circ }$32${}^{\prime }$ E, 354 m a.s.l.) $\sim \mathrm{40}$ km northeast of Xi'an, the capital of Shaanxi Province (Fig. S1 in the Supplement). The sampling site is located in the central part of Guanzhong Basin with no obvious point source of air pollutants in the surrounding areas. PM${}_{\mathrm{2.5}}$ samples were collected twice a day ($\sim \mathrm{08}$:00 to 20:00 and $\sim \mathrm{20}$:00 to 08:00) onto prebaked (450 ${}^{\circ }$C, 6–8 h) quartz fiber filters (Whatman, QM-A, USA) during 3–23 August 2016 and 20 January–1 February 2017 using a Tisch Environmental (USA) PM${}_{\mathrm{2.5}}$ high-volume (1.13 m${}^{\mathrm{3}}$ min${}^{-\mathrm{1}}$) sampler. Field blank samples were also collected by mounting blank filters onto the sampler for about 15 min without pumping any air. After sampling, the sample filters were immediately sealed in aluminum foil bags and then stored in a freezer ($-$5 ${}^{\circ }$C) prior to analysis. Meteorological conditions and concentrations of ${\mathrm{O}}_{\mathrm{3}}$ and ${\mathrm{NO}}_{\mathrm{2}}$ during this studied period are presented in Fig. 1.

Figure 1

Temporal variation in meteorological parameters (a, b) and concentrations of major chemical compositions, Abs${}_{\mathrm{365}}$, MAC${}_{\mathrm{365}}$ and AAE of water-soluble and water-insoluble BrC in PM${}_{\mathrm{2.5}}$ from the rural area of northwest China.

[Figure omitted. See PDF]

2.2 Filter extraction and absorption spectra analysis

For each PM${}_{\mathrm{2.5}}$ sample, a portion of the filter ($\sim \mathrm{13.384}$ cm${}^{\mathrm{2}}$) was first extracted in 8 mL of Milli-Q water (18.2 M$\mathrm{\Omega }$) through 30 min of sonication at $\sim \mathrm{0}$ ${}^{\circ }$C. The water extract was then filtered via vacuum filtration with a 25 mm diameter, 5 $\mathrm{\mu }$m pore hydrophobic PTFE membrane filter (Merck Millipore Ltd, Mitex™ membrane filters, USA). Afterwards, the insoluble PM components collected on the PTFE membrane filter and remained on the sample filter were rinsed with 2 mL of Milli-Q water, air-dried and then extracted via sonication in 8 mL of pure acetonitrile (ACN) (Honeywell Burdick & Jackson, LC/MS grade, USA). The acetonitrile extract was filtered via a 13 mm diameter, 0.45 $\mathrm{\mu }$m pore syringe filter (Pall, Bulk Acrodisc®, PTFE membrane filters, USA). The light absorption spectra of the water and the acetonitrile extracts were measured between 190 and 820 nm by a diode-array spectrophotometer (Hewlett Packard 8452A, USA) using quartz cuvettes with 1 cm length path. Field blank filters were extracted and measured in the same manner as the samples. Data presented in this study were corrected for the field blanks (< 10 % relative to field samples).

2.3 Chemical analysis

OC and EC were analyzed using a DRI carbon analyzer (model 2001, USA). Another piece of the filter sample ($\sim \mathrm{8.6}$ cm${}^{\mathrm{2}}$) was extracted with Milli-Q water (18.2 M$\mathrm{\Omega }$) and filtered through a PTFE syringe filter. Then the water extract was analyzed for water-soluble inorganic ions (${\mathrm{SO}}_{\mathrm{4}}^{\mathrm{2}-}$, ${\mathrm{NO}}_{\mathrm{3}}^{-}$, ${\mathrm{NH}}_{\mathrm{4}}^{+}$, ${\mathrm{Cl}}^{-}$, ${\mathrm{F}}^{-}$, ${\mathrm{Ca}}^{\mathrm{2}+}$, ${\mathrm{K}}^{+}$, ${\mathrm{Na}}^{+}$ and ${\mathrm{Mg}}^{\mathrm{2}+}$) using a Metrohm ion chromatographer (Metrohm 940, Switzerland) and WSOC using a Shimadzu TOC analyzer (TOC-L CPH, Japan) and concentrations of individual molecules, including levoglucosan, parent polycyclic aromatic hydrocarbons (PAHs), oxygenated PAHs (OPAHs), nitrophenols, isoprene, and $\mathit{\alpha }$- and $\mathit{\beta }$-pinene-derived products, were measured using a gas chromatographer–electron-impact-ionization mass spectrometer (GC–EIMS, Agilent 7890A-5975C, USA) calibrated by authentic standards. More details on these measurements can be found in previous publications (Li et al., 2014).

2.4 Data interpretation

In this study, water-insoluble OC (WIOC) was calculated by the difference between OC and WSOC:

1$$M_{\mathrm{WIOC}}=M_{\mathrm{OC}}-M_{\mathrm{WSOC}},$$ where $M_{\mathrm{WIOC}}$, $M_{\mathrm{OC}}$ and $M_{\mathrm{WSOC}}$ correspond to the mass concentration ($\mathrm{\mu }$gC m${}^{-\mathrm{3}}$) of WIOC, OC and WSOC, respectively, in the air.

The absorption coefficient of WS-BrC (Abs${}_{\mathit{\lambda },\text{WS-BrC}}$, Mm${}^{-\mathrm{1}}$) or WI-BrC (Abs${}_{\mathit{\lambda },\text{WI-BrC}}$, Mm${}^{-\mathrm{1}}$) at a given wavelength ($\mathit{\lambda }$) is determined from the UV–vis spectrum of the water extract (Hecobian et al., 2010; Laskin et al., 2015): 2$${\mathrm{Abs}}_{\mathit{\lambda }}=\left(A_{\mathit{\lambda }}-A_{\mathrm{700}}\right)\times {\displaystyle \frac{V_{\mathrm{solvent}}}{V_{\mathrm{a}}\times l}}\times \ln \left(\mathrm{10}\right)\times \mathrm{100},$$ where $A_{\mathit{\lambda }}$ is the absorbance of the water ($A_{\mathit{\lambda },\text{WS-BrC}}$) or ACN ($A_{\mathit{\lambda },\text{WI-BrC}}$) extract at $\mathit{\lambda }$, which is corrected for the field blank. $V_{\mathrm{solvent}}$ (mL) is the volume of solvent (water or ACN) used to extract the filter (8 mL) and $V_{\mathrm{a}}$ (m${}^{\mathrm{3}}$) is the air volume passed through the filter punch. $l$ (cm) is the optical length of the quartz cuvettes used for UV–vis measurement, and ln(10) is used to convert the logbase-10 (provided by the spectrophotometer) to natural logarithm. The value 100 is for unit conversion. $A_{\mathrm{700}}$ (absorbance at the wavelength of 700 nm) is subtracted to minimize the interference of baseline shift. The mass absorption coefficient of WS-BrC (MAC${}_{\mathit{\lambda },\text{WS-BrC}}$, m${}^{\mathrm{2}}$ g${}^{-\mathrm{1}}$) or WI-BrC (MAC${}_{\mathit{\lambda },\text{WI-BrC}}$, m${}^{\mathrm{2}}$ g${}^{-\mathrm{1}}$) at the wavelength of $\mathit{\lambda }$ is calculated using Eq. (3): 3$${\mathrm{MAC}}_{\mathit{\lambda }}={\displaystyle \frac{{\mathrm{Abs}}_{\mathit{\lambda }}}{M}},$$ where $M$ is the mass concentration of WSOC or WIOC. Note that since it is possible that not all the WI-BrC was extracted into ACN, the Abs${}_{\mathit{\lambda },\text{WI-BrC}}$ (estimated uncertainty is 32 %) and MAC${}_{\mathit{\lambda },\text{WI-BrC}}$ (estimated uncertainty is 33 %) reported in this study are likely the lower-bound values. Nevertheless, the underestimation is probably insignificant since Chen and Bond (2010) reported that > 92 % of BrC was extractable by organic solvents (methanol or acetone).

The wavelength dependence for BrC absorption is fit with a power-law equation: 4$${\mathrm{Abs}}_{\mathit{\lambda }}=K\times {\mathit{\lambda }}^{-\mathrm{AAE}},$$ where $K$ is a constant and AAE stands for absorption Ångström exponent. In this study, the AAE for a given sample is calculated through the linear regression of log(Abs${}_{\mathit{\lambda }}$) against log $\mathit{\lambda }$ between 300 and 450 nm. This wavelength range is chosen because the fits of all the samples in this study are better than $r^{\mathrm{2}}=\mathrm{0.99}$. Note that slightly higher AAE values (by up to 10 %) are obtained using a wider wavelength range (e.g., 300–550 nm; Fig. S2).

The fraction of solar irradiance absorbed by particulate BrC at a given wavelength $\mathit{\lambda }$ is estimated following the Beer–Lambert law: 5$${\displaystyle \frac{I_{\mathrm{0}}-I}{I_{\mathrm{0}}}}\left(\mathit{\lambda }\right)=\mathrm{1}-e^{-b_{\mathrm{ap},\mathit{\lambda },x}\times h_{\mathrm{ABL}}},$$ where $x$ denotes WS-BrC or WI-BrC, and $h_{\mathrm{ABL}}$ is the atmospheric boundary layer height (assuming 1200 m in summer and 600 m in winter) according to the assumption that the ground measurement results are representative of the average values in the whole planetary boundary layer (PBL) (Kirchstetter et al., 2004; Kirillova et al., 2014a). $I_{\mathrm{0}}$ denotes the incident solar radiance in the form of either actinic flux (quanta s${}^{-\mathrm{1}}$ cm${}^{-\mathrm{2}}$ nm${}^{-\mathrm{1}}$) or irradiance (W m${}^{-\mathrm{2}}$ nm${}^{-\mathrm{1}}$), which were obtained using the Quick TUV Calculator (http://cprm.acom.ucar.edu/Models/TUV/Interactive_TUV/, last access: 19 March 2019). ($I_{\mathrm{0}}-I$) denotes the direct absorption of solar actinic flux or irradiance by BrC. $b_{\mathrm{ap},\mathit{\lambda },x}$ corresponds to the absorption coefficient ($b_{\mathrm{ap}}$, m${}^{-\mathrm{1}}$) of WS-BrC or WI-BrC at a wavelength of $\mathit{\lambda }$. The absorption properties of BrC extracted by bulk solution may not entirely reflect the light absorption by ambient aerosols. However, an estimated conversion factor can be calculated from the light absorption of size-resolved samples using the Mie theory. Assuming that particles are of spherical morphology and externally mixed with other light-absorbing components, an imaginary refractive index ($k$, responsible for absorption) could be obtained from MAC using the following equation (Laskin et al., 2015): 6$$k_{\left(\mathit{\lambda }\right)}={\displaystyle \frac{\mathit{\rho }\times \mathit{\lambda }\times {\mathrm{Abs}}_{\mathit{\lambda }}}{\mathrm{4}\mathit{\pi }\times M_{\mathrm{WSOC}}}}={\displaystyle \frac{\mathit{\rho }\times \mathit{\lambda }\times {\mathrm{MAC}}_{\mathit{\lambda }}}{\mathrm{4}\mathit{\pi }}},$$ where $\mathit{\rho }$ (g cm${}^{-\mathrm{3}}$) was particle density and assigned as 1.5, and more details about Mie theory calculations can be found in the study by Liu et al. (2013). Previous studies showed that the light absorption coefficient of particulate BrC ($b_{\mathrm{ap},\mathit{\lambda },\mathrm{BrC}}$) is around 0.7–2.0 times that from bulk solution (Abs${}_{\mathit{\lambda },\text{WS-BrC or WI-BrC}}$ ) (Liu et al., 2013; Sun et al., 2007). Here, a conversion factor of 1.3 is applied based on a Mie theory calculation of aerosols in Xi'an ($\sim \mathrm{40}$ km away from the sampling site) (Wu, 2018).

Figure 2

Average spectra of absorption coefficient (Abs${}_{\mathit{\lambda }}$) (a, b) and mass absorption coefficient (MAC${}_{\mathit{\lambda }}$) (c, d) of water-soluble (WS-BrC) and water-insoluble (WI-BrC) BrC during daytime and nighttime of summer and winter. Absorption Ångström exponent (AAE) is calculated by a linear regression of log Abs${}_{\mathit{\lambda }}$ versus log $\mathit{\lambda }$ in the wavelength range of 300–450 nm.

[Figure omitted. See PDF]

3 Results and discussion

3.1 Optical absorption characteristics of WS-BrC and WI-BrC

The average absorption spectra of WS-BrC and WI-BrC ($\mathit{\lambda }=\mathrm{300}$–700 nm) during daytime and nighttime in different seasons are shown in Fig. 2a, b. The absorption Ångström exponents for both WS-BrC (AAE${}_{\text{WS-BrC}}$) and WI-BrC (AAE${}_{\text{WI-BrC}}$) are generally higher than 5, verifying the contribution of BrC to aerosol absorptivity in the region. The average AAE${}_{\text{WS-BrC}}$ values are similar between summer ($\mathrm{5.43}\pm \mathrm{0.41}$) and winter ($\mathrm{5.11}\pm \mathrm{0.53}$). Huang et al. (2014) and Shen et al. (2017) reported comparable AAE${}_{\text{WS-BrC}}$ values (5.3–5.7) with no significant seasonal change at urban sites in Xi'an, suggesting common characteristics of BrC on a regional scale in the Guanzhong Basin of China. These results are comparable with the data reported in Guangzhou (5.3) (Liu et al., 2018), but much lower than those in Beijing (5.3–7.3) (Cheng et al., 2011; Yan et al., 2015b; Du et al., 2014) and Nanjing (6.7–7.3) (Chen et al., 2018). Moreover, comparable AAE values were reported for WS-BrC in Switzerland (3.8–5.1) (Moschos et al., 2018) and Nepal (4.2–5.6) (Wu et al., 2019; Kirillova et al., 2016), but higher AAE${}_{\text{WS-BrC}}$ values were found in the southeastern US ($\mathrm{7}\pm \mathrm{1}$) (Hecobian et al., 2010), Los Angeles Basin ($\mathrm{7.6}\pm \mathrm{0.5}$) (Zhang et al., 2013) and South Korea (5.84–9.17) (Kim et al., 2016).

The AAE${}_{\text{WI-BrC}}$ shows more obvious seasonal variations with a higher average value in winter ($\mathrm{6.04}\pm \mathrm{0.22}$) than in summer ($\mathrm{5.01}\pm \mathrm{0.58}$). This difference suggests that the chemical composition of WI-BrC might be more different in different seasons, due to variations in the sources and atmospheric formation and aging processes of light-absorbing hydrophobic compounds.

The light absorption properties of WS-BrC and WI-BrC present obvious seasonal variations (Fig. 2). The average ($\pm \mathrm{1}\mathit{\sigma }$) Abs and MAC values of BrC at 365 nm (i.e., Abs${}_{\mathrm{365},\text{WS-BrC}}$, Abs${}_{\mathrm{365},\text{WI-BrC}}$, MAC${}_{\mathrm{365},\text{WS-BrC}}$ and MAC${}_{\mathrm{365},\text{WI-BrC}}$) during daytime and nighttime in winter and summer are summarized in Table 1. The value 365 nm was chosen to avoid interferences from inorganic compounds (e.g., nitrate and nitrite) and to be consistent with previous studies (Hecobian et al., 2010; Huang et al., 2018). On average, Abs${}_{\mathrm{365},\text{WS-BrC}}$ is significantly higher than Abs${}_{\mathrm{365},\text{WI-BrC}}$ in summer ($\mathrm{5.00}\pm \mathrm{1.28}$ Mm${}^{-\mathrm{1}}$ vs. $\mathrm{2.95}\pm \mathrm{1.94}$ Mm${}^{-\mathrm{1}}$), but the values vary slightly in winter ($\mathrm{19.6}\pm \mathrm{8.3}$ Mm${}^{-\mathrm{1}}$ vs. $\mathrm{21.9}\pm \mathrm{13.5}$ Mm${}^{-\mathrm{1}}$). The substantially higher BrC absorptions in winter correspond to a much higher organic aerosol concentration – WSOC and WIOC concentrations in winter are on average 4.2 and 14 times the concentrations in summer (Table 1). Elevated OA (organic aerosol) concentration during winter is due to a combination of lower PBL height and enhanced primary emissions (e.g., from residential heating) in the cold season. It is worth noting that the wavelength-dependent Abs of WS-BrC shows a minor tip at about 360 nm in both seasons (Fig. 2), which may be related to the contribution of some specific chromophores. For example, Lin et al. (2015) reported that some nitrogen-containing organic compounds (such as picric acid or nitrophenol) have a maximum absorption at a wavelength of $\sim \mathrm{360}$ nm. The tip possibly caused an overestimation of average Abs and MAC at a wavelength of 365 nm in this study. However, the influence seems insignificant based on a comparison of average Abs and MAC at wavelengths of 340, 350, 360, 370 and 380 nm (Table S1 in the Supplement).

Table 1

Average ($\pm \mathrm{1}\mathit{\sigma }$) values Abs${}_{\mathrm{365}}$, MAC${}_{\mathrm{365}}$ and AAE of WS-BrC and WI-BrC, as well as concentrations of OC, WSOC, WIOC and measured organic species in the PM${}_{\mathrm{2.5}}$ aerosols from the rural site in the Guanzhong Basin.

	Summer			Winter
	Average	Daytime	Nighttime	Average	Daytime	Nighttime
Abs${}_{\mathrm{365},\text{WS-BrC}}$ (Mm${}^{-\mathrm{1}}$)	5.00 $\pm$ 1.28	5.64 $\pm$ 1.34	4.37 $\pm$ 0.83	19.6 $\pm$ 8.3	19.2 $\pm$ 6.8	19.9 $\pm$ 9.5
Abs${}_{\mathrm{365},\text{WI-BrC}}$ (Mm${}^{-\mathrm{1}}$)	2.95 $\pm$ 1.94	4.23 $\pm$ 1.93	1.67 $\pm$ 0.72	21.9 $\pm$ 13.5	17.2 $\pm$ 8.2	26.7 $\pm$ 15.8
MAC${}_{\mathrm{365},\text{WS-BrC}}$ (m${}^{\mathrm{2}}$ g${}^{-\mathrm{1}}$)	1.00 $\pm$ 0.18	0.99 $\pm$ 0.17	1.01 $\pm$ 0.18	0.93 $\pm$ 0.25	0.92 $\pm$ 0.21	0.94 $\pm$ 0.28
MAC${}_{\mathrm{365},\text{WI-BrC}}$ (m${}^{\mathrm{2}}$ g${}^{-\mathrm{1}}$)	1.82 $\pm$ 1.06	2.45 $\pm$ 1.14	1.18 $\pm$ 0.36	0.95 $\pm$ 0.32	0.85 $\pm$ 0.34	1.05 $\pm$ 0.28
AAE${}_{\text{WS-BrC}}$	5.43 $\pm$ 0.41	5.56 $\pm$ 0.4	5.30 $\pm$ 0.38	5.11 $\pm$ 0.53	5.14 $\pm$ 0.2	5.07 $\pm$ 0.72
AAE${}_{WI-BrC}$	5.01 $\pm$ 0.58	4.74 $\pm$ 0.19	5.28 $\pm$ 0.71	6.04 $\pm$ 0.22	5.94 $\pm$ 0.12	6.15 $\pm$ 0.24
OC ($\mathrm{\mu }$g m${}^{-\mathrm{3}}$)	6.78 $\pm$ 1.77	7.74 $\pm$ 1.73	5.83 $\pm$ 1.19	45.9 $\pm$ 22.9	44.0 $\pm$ 17.2	47.9 $\pm$ 27.2
WSOC ($\mathrm{\mu }$g m${}^{-\mathrm{3}}$)	5.06 $\pm$ 1.11	5.72 $\pm$ 1.02	4.39 $\pm$ 0.72	21.9 $\pm$ 9.3	22.1 $\pm$ 8.0	21.7 $\pm$ 10.4
WIOC ($\mathrm{\mu }$g m${}^{-\mathrm{3}}$)	1.73 $\pm$ 0.87	2.02 $\pm$ 1.04	1.44 $\pm$ 0.53	24.0 $\pm$ 14.3	21.9 $\pm$ 10.1	26.2 $\pm$ 17.3
WSOC $/$ OC	0.75 $\pm$ 0.07	0.75 $\pm$ 0.09	0.76 $\pm$ 0.04	0.50 $\pm$ 0.09	0.51 $\pm$ 0.08	0.48 $\pm$ 0.10
Parent PAHs (ng m${}^{-\mathrm{3}}$)	8.81 $\pm$ 5.09	11.6 $\pm$ 5.7	5.98 $\pm$ 1.9	82.3 $\pm$ 53.7	70.8 $\pm$ 35.4	93.9 $\pm$ 65.1
OPAHs (ng m${}^{-\mathrm{3}}$)	14.0 $\pm$ 14.0	23.0 $\pm$ 15.1	4.97 $\pm$ 1.34	98.3 $\pm$ 59.5	89.4 $\pm$ 39.8	107 $\pm$ 73
Nitrophenols (ng m${}^{-\mathrm{3}}$)	0.94 $\pm$ 0.26	0.87 $\pm$ 0.26	1.02 $\pm$ 0.24	72.6 $\pm$ 63.7	41.1 $\pm$ 15.5	104 $\pm$ 77
SOA${}_{\mathrm{i}}^{\mathrm{a}}$ (ng m${}^{-\mathrm{3}}$)	18.6 $\pm$ 9.7	15.0 $\pm$ 8.0	22.1 $\pm$ 9.8	BDL${}^{\mathrm{c}}$	BDL	BDL
SOA${}_{\mathrm{p}}^{\mathrm{b}}$ (ng m${}^{-\mathrm{3}}$)	22.0 $\pm$ 6.7	25.2 $\pm$ 6.7	18.9 $\pm$ 5.0	BDL	BDL	BDL
Levoglucosan (ng m${}^{-\mathrm{3}}$)	98.7 $\pm$ 83.7	142 $\pm$ 89	55.1 $\pm$ 48.7	601 $\pm$ 301	569 $\pm$ 138	633 $\pm$ 401

${}^{\mathrm{a}}$ SOA${}_{\mathrm{i}}$: tracers of SOA formed from isoprene (SOAi) oxidation, i.e., the sum of 2-methylglyceric acid, 2-methylthreitol and 2-methylerythritol. ${}^{\mathrm{b}}$ SOA${}_{\mathrm{i}}$: tracers of SOA formed from $\mathit{\alpha }$- and $\mathit{\beta }$-pinene (SOAp) oxidation, i.e., the sum of pinonic acid, pinic acid and 3-methyl-1,2,3-butanetricarboxylic acid. ${}^{\mathrm{c}}$ BDL: below detection limit (< 0.17 ng m${}^{-\mathrm{3}}$).

The MACs of WS-BrC are comparable between the two seasons (Fig. 2c, d), with the average MAC${}_{\mathrm{365},\text{WS-BrC}}$ being 1.00 ($\pm \mathrm{0.18}$) m${}^{\mathrm{2}}$ g${}^{-\mathrm{1}}$ in summer and 0.93 ($\pm \mathrm{0.25}$) m${}^{\mathrm{2}}$ g${}^{-\mathrm{1}}$ in winter (Table 1). As summarized in Table 2, the MAC${}_{\mathrm{365},\text{WS-BrC}}$ measured in this study, i.e., at a rural site in the Guanzhong Basin of China, is comparable to or lower than the values observed in Asian cities such Xi'an (Huang et al., 2018), Beijing (Cheng et al., 2011), Seoul (Kim et al., 2016) and New Delhi (Kirillova et al., 2014b) but obviously higher than those at the regional sites in the North China Plain (Teich et al., 2017) and the background site on the Tibetan Plateau (Xu et al., 2020). Moreover, significantly lower MAC${}_{\mathrm{365},\text{WS-BrC}}$ values were observed in the US, including in the Los Angeles Basin (Zhang et al., 2013), the southeastern US (Hecobian et al., 2010) and Atlanta (Liu et al., 2013).

In winter, the average MAC${}_{\mathrm{365},\text{WI-BrC}}$ ($\mathrm{0.95}\pm \mathrm{0.32}$ m${}^{\mathrm{2}}$ g${}^{-\mathrm{1}}$) is comparable to MAC${}_{\mathrm{365},\text{WS-BrC}}$ ($\mathrm{0.93}\pm \mathrm{0.25}$ m${}^{\mathrm{2}}$ g${}^{-\mathrm{1}}$; Table 1). However, in summer the MAC${}_{\mathrm{365},\text{WI-BrC}}$ is much higher than MAC${}_{\mathrm{365},\text{WS-BrC}}$ ($\mathrm{1.82}\pm \mathrm{1.06}$ vs. $\mathrm{1.00}\pm \mathrm{0.18}$ m${}^{\mathrm{2}}$ g${}^{-\mathrm{1}}$), indicating a relatively stronger light absorption capability of hydrophobic chromophores than hydrophilic chromophores. Further, the fact that the summertime MAC${}_{\mathrm{365},\text{WI-BrC}}$ is nearly double the wintertime MAC${}_{\mathrm{365},\text{WI-BrC}}$ suggests that more light-absorbing molecules are formed in the warm season.

Figure 2 compares the wavelength-dependent light absorptivity (i.e., Abs${}_{\mathit{\lambda }}$ and MAC${}_{\mathit{\lambda }}$) of WS-BrC and WI-BrC between day and night in summer and winter. Higher Abs${}_{\mathit{\lambda },\text{WS-BrC}}$ and Abs${}_{\mathit{\lambda },\text{WI-BrC}}$ occurred during daytime in summer but during nighttime in winter. The MAC${}_{\mathit{\lambda }}$ values of WS-BrC are overall similar between daytime and nighttime in both seasons. However, the MAC${}_{\mathit{\lambda }}$ values of WI-BrC show a significant daytime increase in summer over the whole wavelength range of 300–700 nm (Fig. 2c). The day–night change of BrC light absorptivity can be viewed more obviously in Fig. 1e and f, where the temporal variations in the Abs${}_{\mathrm{365}}$ and MAC${}_{\mathrm{365}}$ of WS-BrC and WI-BrC during summer 2016 (3–23 August) and winter 2017 (20 January–1 February) are presented. The highest day $/$ night ratio of MAC${}_{\mathrm{365},\text{WIOC}}$ reached 3.8 in summer, and the average daytime MAC${}_{\mathrm{365},\text{WI-BrC}}$ in summer ($\mathrm{2.45}\pm \mathrm{1.14}$ m${}^{\mathrm{2}}$ g${}^{-\mathrm{1}}$) is more than twice the value during nighttime ($\mathrm{1.18}\pm \mathrm{0.36}$ m${}^{\mathrm{2}}$ g${}^{-\mathrm{1}}$; Table 1). A possible reason for this observation is that there are additional sources of WI-BrC during summer daytime in this rural region, such as secondary formation of hydrophobic light-absorbing compounds.

Figures 3 and 4 present the cross correlations of Abs${}_{\mathrm{365},\text{WS-BrC}}$ and Abs${}_{\mathrm{365},\text{WI-BrC}}$ with major chemical components (e.g., WSOC, WIOC and sulfate) and molecular tracer species in summer and winter. In winter, Abs${}_{\mathrm{365},\text{WS-BrC}}$ correlates strongly with WSOC concentration ($r^{\mathrm{2}}=\mathrm{0.80}$), as does Abs${}_{\mathrm{365},\text{WI-BrC}}$ with WIOC ($r^{\mathrm{2}}=\mathrm{0.76}$). However, their relationships in summer are much weaker, especially for the correlation between Abs${}_{\mathrm{365},\text{WI-BrC}}$ and WIOC ($r^{\mathrm{2}}=\mathrm{0.50}$). Considering that secondary OA (SOA) is mainly comprised of water-soluble compounds, such as polyalcohols or polyacids and phenols (Kondo et al., 2007), the much higher WSOC $/$ OC ratio in summer ($\mathrm{0.75}\pm \mathrm{0.07}$) compared to winter ($\mathrm{0.50}\pm \mathrm{0.09}$) confirms more prevalent SOA formation in summer associated with higher temperature and stronger solar radiation. Formation of secondary organic chromophores may lead to a more complex composition of BrC in summer. More evidences on secondary BrC formation is provided in the subsequent sections.

Numerous studies reported that biomass burning is a dominant source of BrC in the atmosphere (Desyaterik et al., 2013; Washenfelder et al., 2015). In the current study, levoglucosan – a key tracer for biomass burning emissions (Simoneit, 2002) – was determined. As shown in Figs. 3 and 4, levoglucosan correlates well with WSOC and WIOC in both summer and winter ($r^{\mathrm{2}}=\mathrm{0.45}$–0.77), suggesting that biomass burning is an important source of OA in the rural region of Guanzhong Basin. For most of the periods in this study, the MAC${}_{\mathrm{365},\text{WS-BrC}}$ and MAC${}_{\mathrm{365},\text{WI-BrC}}$ values are within the range of MAC of biomass burning aerosols (e.g., 1.3–1.8 for corn stalk (Li et al., 2016a), $\sim \mathrm{1.37}$ for rice straw (Park and Yu, 2016) and $\sim \mathrm{1.9}$ for biomass burning (BB) smoke particles (Lin et al., 2017). Also, Abs${}_{\mathrm{365},\text{WI-BrC}}$ values in both summer and winter correlate well with levoglucosan ($r^{\mathrm{2}}=\mathrm{0.74}$ and 0.62, respectively), demonstrating an important contribution of biomass burning to WI-BrC despite the fact that levoglucosan itself is water soluble. The relationships between the Abs${}_{\mathrm{365},\text{WS-BrC}}$ and levoglucosan are much weaker ($r^{\mathrm{2}}=\mathrm{0.40}$ and 0.45 in summer and winter, respectively), suggesting more complex sources of WS-BrC in the region.

Table 2

Comparison of MAC${}_{\mathrm{365},\text{WS-BrC}}$ values in the present study and those reported in earlier studies in China, India and the United States (US).

Sampling site	Sampling time	Season	MAC${}_{\mathrm{365},\text{WS-BrC}}$	Reference
			(m${}^{\mathrm{2}}$ g${}^{-\mathrm{1}}$)
Lincun, Shaanxi, China	3–23 Aug 2016	Summer	1.00 $\pm$ 0.18	This study
	20 Jan–1 Feb 2017	Winter	0.93 $\pm$ 0.25
Xi'an, China	1 Jun–31 Aug 2009	Summer	0.98 $\pm$ 0.21	Huang et al. (2018)
	15 Nov 2008–14 Mar 2009	Winter	1.65 $\pm$ 0.36
Beijing, China	20 Jun–20 Jul 2009	Summer	1.8 $\pm$ 0.2	Cheng et al. (2011)
	9 Jan–12 Feb 2009	Winter	0.7 $\pm$ 0.2
Xianghe, Hebei, China	9–14 Jul and 21 Jul–1 Aug 2013	Summer	0.38 $\pm$ 0.52${}^{*}$	Teich et al. (2017)
Wangdu, Hebei, China	4–24 Jun 2014	Summer	0.55 $\pm$ 0.15${}^{*}$
Mt. Waliguan, Qinghai, China	1–31 Jul 2017	Summer	0.48	Xu et al. (2020)
Seoul, South Korea	13 Aug–9 Sep 2013	Summer	0.28	Kim et al. (2016)
	9 Jan–8 Feb 2013	Winter	1.02
New Delhi, India	24 Oct 2010–25 Mar 2011	Winter	1.6 $\pm$ 0.5	Kirillova et al. (2014b)
Los Angeles Basin, US	mid-May–mid-June 2010	Summer	0.71	Zhang et al. (2013)
Southeastern US	2007	Annually	0.3–0.7	Hecobian et al. (2010)
Atlanta, US	17 May–29 Sep 2012	Summer and Fall	0.14–0.53	Liu et al. (2013)

${}^{*}$ Data at Xianghe and Wangdu were the averaged MAC of WSOC at a wavelength of 370 nm (i.e., MAC${}_{\mathrm{370},\text{WS-BrC}}$).

3.2 Molecular characterization of BrC aerosols

Five categories of molecular tracer compounds, i.e., parent-polycyclic aromatic hydrocarbons (parent PAHs), oxygenated PAHs (OPAHs), nitrophenols, isoprene-derived products (SOA${}_{\mathrm{i}}$) and $\mathit{\alpha }$- and $\mathit{\beta }$-pinene-derived products (SOA${}_{\mathrm{p}}$), were determined by the GC–EIMS technique to investigate the formation pathways of BrC in this study. Their average concentrations as well as daytime and nighttime differences are summarized in Table 1, and the temporal variation profiles of the sum concentrations of each category, together with levoglucosan time series, are presented in Fig. S3.

Figure 3

Cross correlations between Abs${}_{\mathrm{365},\text{WS-BrC}}$, Abs${}_{\mathrm{365},\text{WI-BrC}}$, selected chemical compositions and RH in summer. The numbers at the upper right denote the linear correlation coefficients ($r^{\mathrm{2}}$) of the corresponding scatter plots.

[Figure omitted. See PDF]

PAHs and their oxidized products are important BrC chromophores, since the large conjugated polycyclic structures are strongly light-absorbing in the near-UV range (Samburova et al., 2016; Huang et al., 2018). A total of 14 parent PAHs and 5 OPAHs (Table S2) were determined in this study. Parent PAHs are unsubstituted PAHs mainly emitted directly from incomplete combustion of coal, biofuel, gasoline or other materials, whereas OPAHs can be emitted directly from combustion sources or formed from photochemical oxidation of the parent PAHs. The time trends of parent PAHs and OPAHs are highly similar in both seasons ($r^{\mathrm{2}}=\mathrm{0.90}$ and 0.98 in summer and winter, respectively; Figs. 3 and 4), suggesting that they have common combustion sources. In addition, both parent PAHs and OPAHs presented good correlations with levoglucosan, particularly in winter ($r^{\mathrm{2}}=\mathrm{0.69}$ and 0.73, respectively; Fig. 4), indicating that biomass burning is an important contributor to ambient particulate PAHs in the region. PAHs, as well as levoglucosan, are elevated during nighttime in winter, corresponding to enhanced biomass burning emissions from heating-related activities as well as reduced boundary layer height at night. In contrast, the average daytime concentrations of parent PAHs ($\mathrm{11.6}\pm \mathrm{5.7}$ ng m${}^{-\mathrm{3}}$) and levoglucosan ($\mathrm{142}\pm \mathrm{89}$ ng m${}^{-\mathrm{3}}$) in summer are respectively about 1.95 and 2.58 times the values at night (Table 1). The daytime enhancement of OPAH concentrations in summer is even more pronounced with an average day $/$ night ratio of $\sim \mathrm{4.6}$ and as high as 9.8 for individual OPAH species (e.g., 6H-henzo(cd)pyrene-6-one; Fig. S4). Both parent PAHs and OPAHs, which are hydrophobic and thus mainly exist as WIOC, demonstrate a good linear relationship with Abs${}_{\mathrm{365},\text{WI-BrC}}$ in both winter and summer ($r^{\mathrm{2}}=\mathrm{0.49}$–0.83; Figs. 3 and 4). However, the good correlation between OPAHs and Abs${}_{\mathrm{365},\text{WI-BrC}}$ in summer appears to be mainly driven by daytime production, as the correlation coefficient ($r^{\mathrm{2}}$) is 0.72 for the daytime data but is < 0.1 for the nighttime data (Fig. S5a). These results suggest that photochemical formation of light absorption compounds is an important source of BrC during summer in the Guanzhong Basin.

Figure 4

Cross correlations between Abs${}_{\mathrm{365},\text{WS-BrC}}$, Abs${}_{\mathrm{365},\text{WI-BrC}}$, selected chemical compositions and RH in winter. The numbers at the upper right denote the linear correlation coefficients ($r^{\mathrm{2}}$) of the corresponding scatter plots.

[Figure omitted. See PDF]

We estimated the potential contribution of parent PAHs and OPAHs to the light absorption of WI-BrC using a method reported in Samburova et al. (2016). Details on the method are presented in the Supplement. Table S3 summarizes the solar-spectrum-weighed mass absorption coefficients for PAHs (MAC${}_{\mathrm{PAH},\mathrm{av}}$) used in the calculation. As shown in Fig. 5, the contribution of parent PAHs to solar-spectrum-weighed absorption coefficient of WI-BrC varies between 0.55 % and 0.66 % with slight diurnal or season variations (Table S3). However, the contribution of OPAHs clearly shows higher daytime values, especially in summer. The average contribution of OPAHs to the solar-spectrum-weighed absorption coefficient of WI-BrC in summer is $\mathrm{0.51}\pm \mathrm{0.28}$ % during daytime and $\mathrm{0.34}\pm \mathrm{0.19}$ % during nighttime. These results indicate that more secondary water-insoluble aromatic chromophores were produced via photochemical oxidation during summertime in the rural region.

Figure 5

Average contribution of parent PAHs and OPAHs to the bulk light absorption of WI-BrC (300–700 nm) during daytime and nighttime of summer and winter.

[Figure omitted. See PDF]

Nitrophenols were identified as one of the most important light-absorbing compounds in particles and cloud water influenced by BB emission in China (Desyaterik et al., 2013). These compounds can be either directly emitted from burning of biomass (Xie et al., 2019) or formed in the atmosphere through gas-phase and aqueous-phase reactions of aromatic precursors including benz[$a$]pyrene (Lu et al., 2011), naphthalene (Kitanovski et al., 2014), catechol and guaiacol (Ofner et al., 2011), and toluene (Liu et al., 2015) in the presence of ${\mathrm{NO}}_x$. In this study, only a few nitrophenol compounds were detected in PM (Table S2) and their average ($\pm \mathrm{1}\mathit{\sigma }$) concentration is 0.94 ($\pm \mathrm{0.26}$) ng m${}^{-\mathrm{3}}$ in summer and 72.6 ($\pm \mathrm{63.7}$) ng m${}^{-\mathrm{3}}$ in winter. The wintertime concentrations of nitrophenols measured in the current study are comparable to those detected in Shanghai (Li et al., 2016b), at Mt. Tai in Shandong Province of China (Desyaterik et al., 2013) and Ljubljana in Slovenia (Kitanovski et al., 2012), but the summertime concentrations observed are more comparable to those detected in the Los Angeles Basin in the US (Zhang et al., 2013). The substantially lower concentration of nitrophenols in summer may be related to rapid photodegradation in the atmosphere. Indeed, according to a laboratory study conducted by Zhao et al. (2015), the timescale for photobleaching of nitrophenols can be an hour or less. Furthermore, as shown in Fig. S5b, during wintertime, when low temperature and weak solar irradiation suppress the photodegradation process, nitrophenols' concentration anticorrelates with the ${\mathrm{O}}_{\mathrm{3}}$ mixing ratio in a nonlinear manner ($r^{\mathrm{2}}=\mathrm{0.60}$). On average, concentration of nitrophenols in winter is 2.5 times higher during nighttime than during daytime, whereas the nighttime concentrations of levoglucosan and PAHs are only slightly higher than the daytime concentrations (by 11 % and 33 %, respectively; Table 1). Levoglucosan and PAHs are less photochemically reactive than nitrophenols. These results confirm that nitrophenols, and other photoreactive BrC compounds, may undergo significant atmospheric degradation during summertime.

Both summertime and wintertime Abs${}_{\mathrm{365},\text{WS-BrC}}$ correlated well with the concentrations of nitrophenols ($r^{\mathrm{2}}=\mathrm{0.51}$–0.72, Fig. S5c, d), suggesting an important contribution of nitrated aromatic compounds to light absorption of WS-BrC in the study area. Using the MAC of individual nitrophenol reported in Zhang et al. (2013), we calculated that the contributions of nitrophenols to aerosol light absorption are 6.5–27 times higher than their mass contributions to WSOC and that the fractions are much higher in winter ($\mathrm{2.44}\pm \mathrm{1.78}$ %) than in summer ($\mathrm{0.12}\pm \mathrm{0.03}$ %; Table S3). In addition, due to a significantly higher abundance of nitrophenols during nighttime in winter, their fractional contribution to aerosol absorption is on average 2.5 times higher than during the day ($\mathrm{3.47}\pm \mathrm{2.03}$ % vs. $\mathrm{1.41}\pm \mathrm{0.29}$ %).

Table 3

Average direct solar absorption of water-soluble and water-insoluble BrC during summer and winter.

	WSOC		WIOC
	Summer	Winter	Summer	Winter
Actinic flux ($\times {\mathrm{10}}^{\mathrm{14}}$ quanta s${}^{-\mathrm{1}}$ cm${}^{-\mathrm{2}}$)
300–400 nm	1.55 $\pm$ 0.43	2.14 $\pm$ 0.92	1.03 $\pm$ 0.64	2.53 $\pm$ 1.52
400–700 nm	1.77 $\pm$ 0.6	2.67 $\pm$ 1.04	1.24 $\pm$ 0.8	2.58 $\pm$ 1.48
Irradiance (W m${}^{-\mathrm{2}}$)
300–400 nm	0.51 $\pm$ 0.14	0.57 $\pm$ 0.25	0.34 $\pm$ 0.21	0.68 $\pm$ 0.41
400–700 nm	0.49 $\pm$ 0.17	0.57 $\pm$ 0.22	0.35 $\pm$ 0.23	0.55 $\pm$ 0.32
Relative to EC (%)
300–400 nm	49.4 $\pm$ 14.5	25.9 $\pm$ 5.47	29.4 $\pm$ 11.0	29.0 $\pm$ 10.4
400–700 nm	10.0 $\pm$ 3.52	4.99 $\pm$ 1.23	6.19 $\pm$ 2.42	4.51 $\pm$ 1.44

On a global scale, biogenic VOCs, mostly consisting of isoprene and monoterpenes, are nearly an order of magnitude more abundant than anthropogenic VOCs (Guenther et al., 2006), and their secondary products are estimated to be a predominant contributor to global SOA burden (Heald et al., 2008). Recent studies (Lin et al., 2014; Nakayama et al., 2012, 2015) showed that a large number of biogenic SOA compounds are light absorptive. Some tracers of SOA formed from isoprene (SOA${}_{\mathrm{i}}$) and $\mathit{\alpha }$- and $\mathit{\beta }$-pinene (SOA${}_{\mathrm{p}}$) oxidation were measured in the summertime samples (Table S2), and their temporal variations are shown in Fig. S3. No biogenic SOA tracer species were detectable in the winter samples in this study. Similar results were obtained in our previous study at Mt. Hua in the Guanzhong Basin (Li, 2011). These findings are consistent with low emissions of biogenic VOCs and low oxidation rates in this region during cold seasons. The average concentrations of SOA${}_{\mathrm{i}}$ and SOA${}_{\mathrm{p}}$ tracers in summer are $\mathrm{18.6}\pm \mathrm{9.7}$ and $\mathrm{22.0}\pm \mathrm{6.7}$ ng m${}^{-\mathrm{3}}$, respectively. Neither SOA${}_{\mathrm{i}}$ tracers nor SOA${}_{\mathrm{p}}$ tracers showed significant correlations with the absorption coefficient of WSOC or WIOC, suggesting a low contribution of biogenic SOA to aerosol light absorption in the region. In addition, compared to the MAC values observed in this study, the MACs of biogenic SOA reported in literature are much lower, on average, by nearly an order of magnitude (Laskin et al., 2015), which further supports an insignificant contribution of biogenic sources to BrC in this region. This finding is consistent with the fact that the Guanzhong Basin is a highly polluted region, where the major emission sources of organic aerosols are anthropogenic.

3.3 Variation in BrC during extreme haze events in winter

In recent years, extremely severe haze events with very high PM${}_{\mathrm{2.5}}$ concentrations (up to 500–600 $\mathrm{\mu }$g m${}^{-\mathrm{3}}$) and low visibility (lower than 1 km) occurred frequently during wintertime in China (Huang et al., 2014). In this study, a heavy haze event occurred during 21–26 January when PM${}_{\mathrm{2.5}}$ concentration at the rural site increased continuously from $\sim \mathrm{100}$ to 430 $\mathrm{\mu }$g m${}^{-\mathrm{3}}$ and visibility decreased from > 10 to $\sim \mathrm{1.4}$ km (Fig. 1b, d). Similar to most haze events occurring in northeast China, this event was associated with stagnant meteorological conditions with low wind speed (< 1 km s${}^{-\mathrm{1}}$), which promote the accumulation of pollutants. In addition, secondary inorganic aerosol species, e.g., ${\mathrm{SO}}_{\mathrm{4}}^{\mathrm{2}-}$, ${\mathrm{NO}}_{\mathrm{3}}^{-}$ and ${\mathrm{NH}}_{\mathrm{4}}^{+}$, increased sharply (Fig. 1d), which indicates secondary aerosol formation was enhanced during the haze event despite the low solar irradiance and low ${\mathrm{O}}_{\mathrm{3}}$ concentration (e.g., $\mathrm{2}--\mathrm{40}$ $\mathrm{\mu }$g m${}^{-\mathrm{3}}$; Fig. 1c). Recent studies by Wang et al. (2016) and Cheng et al. (2016) reported dramatic increases in secondary inorganic components, mainly sulfate, nitrate and ammonium (SNA), during haze periods in China and attributed the increases to enhanced aqueous reactions under high-relative-humidity (RH) conditions with ${\mathrm{NO}}_{\mathrm{2}}$ being an important oxidant. Moreover, Huang et al. (2014) observed that SOA also increased noticeably during haze periods in winter. Indeed, as shown in Fig. 4, ${\mathrm{SO}}_{\mathrm{4}}^{\mathrm{2}-}$ correlates well with RH ($r^{\mathrm{2}}=\mathrm{0.64}$) and ${\mathrm{NO}}_{\mathrm{2}}$ ($r^{\mathrm{2}}=\mathrm{0.56}$) in winter. In addition, Abs${}_{\mathrm{365},\text{WS-BrC}}$, which increases continuously during the haze period with a peak value at 43.3 Mm${}^{-\mathrm{1}}$ (Fig. 1e), correlates well with RH ($r^{\mathrm{2}}=\mathrm{0.65}$), sulfate ($r^{\mathrm{2}}=\mathrm{0.84}$) and ${\mathrm{NO}}_{\mathrm{2}}$ ($r^{\mathrm{2}}=\mathrm{0.70}$) (Fig. 4). In contrast, Abs${}_{\mathrm{365},\text{WI-BrC}}$ presents obvious diurnal variation during the haze period, and the correlation of RH ($r^{\mathrm{2}}=$0.40), sulfate ($r^{\mathrm{2}}=\mathrm{0.46}$) and ${\mathrm{NO}}_{\mathrm{2}}$ ($r^{\mathrm{2}}=\mathrm{0.41}$) with Abs${}_{\mathrm{365},\text{WI-BrC}}$ is also much weaker than that with Abs${}_{\mathrm{365},\text{WS-BrC}}$. These results suggest that aqueous oxidation played a role in the formation of WS-BrC (Laskin et al., 2015) during the haze period, although stagnant meteorological conditions with low wind speed can also promote its accumulation. This finding is consistent with our previous study conducted in Xi'an (Wu et al., 2020), which also found a secondary formation of BrC in winter by using stable carbon isotope composition analysis. In contrast, a slowly decreasing trend of MAC${}_{\mathrm{365},\mathrm{WIOC}}$ was observed during the haze period, suggesting that some of the water-insoluble BrC species were oxidized to form water-soluble chromophores, possibly through aqueous-phase reactions.

It is worthwhile to mention that 27 January 2017 was the Chinese New Year's Eve and a large number of fireworks were set off for celebration. During this night, the concentrations of PM${}_{\mathrm{2.5}}$, OC, EC, WSOC and WIOC as well as SNA were 25 %–51 % lower than their wintertime average concentrations due to the higher wind speed favoring atmospheric dispersion (Fig. 1). However, the MAC${}_{\mathrm{365},\text{WS-BrC}}$ (1.81) increased to about 2 times its average value in winter, and Abs${}_{\mathrm{365},\text{WS-BrC}}$ (20.5 Mm${}^{-\mathrm{1}}$) also showed a slight increase. Meanwhile, metal ions, which are abundant in fireworks (Wu et al., 2018; Jiang et al., 2015), such as ${\mathrm{K}}^{+}$, ${\mathrm{Mg}}^{\mathrm{2}+}$ and ${\mathrm{Ca}}^{\mathrm{2}+}$, increased substantially during the night as well (Fig. S6). These results indicate that the increase in MAC${}_{\mathrm{365},\mathrm{WSOC}}$ during the Chinese New Year's Eve is likely mainly contributed by metal-containing light-absorbing compounds emitted from fireworks (Laskin et al., 2015; Tran et al., 2017).

3.4 Estimation of direct absorption of solar radiation by BrC

Since the light absorption of BrC is mainly in the UV spectral region, an important concern is that BrC can reduce the solar actinic flux and thus affect atmospheric photochemistry and tropospheric ozone production (Jacobson, 1998; Mohr et al., 2013). In this study, the direct absorptions of solar radiation by both WS-BrC and WI-BrC were estimated by using Eq. (7). Figure S7 presents the incident solar irradiance and actinic flux spectra determined for the region under midday summer (10 August 2016 at 13:00 Beijing (BJ) time, UTC$+$8) and winter (25 January 2017 at 13:00 BJ time) conditions. Note that the local time at Guanzhong is $\sim \mathrm{1}$ h later than BJ time.

Table 3 presents a summary of the calculated direct solar absorptions of BrC. In summer, the direct attenuation of actinic flux by WS-BrC and WI-BrC is estimated at $\mathrm{1.55}\times {\mathrm{10}}^{\mathrm{14}}\pm \mathrm{0.43}\times {\mathrm{10}}^{\mathrm{14}}$ and $\mathrm{1.03}\times {\mathrm{10}}^{\mathrm{14}}\pm \mathrm{0.64}\times {\mathrm{10}}^{\mathrm{14}}$ quanta s${}^{-\mathrm{1}}$ cm${}^{-\mathrm{2}}$, respectively, in the UV range (300–400 nm), which accounts for $\mathrm{0.83}\pm \mathrm{0.23}$ % and $\mathrm{0.53}\pm \mathrm{0.33}$ %, respectively, of the total down-welling radiation. In winter, the direct absorptions by BrC are higher, with WS-BrC and WI-BrC on average accounting for $\mathrm{1.67}\pm \mathrm{0.72}$ % and $\mathrm{2.07}\pm \mathrm{1.24}$ %, respectively, of the total down-welling radiation in the UV range. These results suggest that BrC may have a significant influence on atmospheric photochemistry in the UV range. In the visible spectral region (400–700 nm), the contributions of WS-BrC and WI-BrC to the total down-welling radiation are negligible: $\mathrm{0.10}\pm \mathrm{0.03}$ % and $\mathrm{0.07}\pm \mathrm{0.05}$ % in summer and $\mathrm{0.15}\pm \mathrm{0.06}$ % and $\mathrm{0.15}\pm \mathrm{0.08}$ % in winter, respectively.

Another concern of BrC is that it can absorb solar irradiance to influence tropospheric temperature in a similar way as black carbon (BC) or elemental carbon (EC) (Feng et al., 2013; Laskin et al., 2015). In our study, the direct absorption of solar irradiance by WS-BrC and WI-BrC is estimated at $\mathrm{0.51}\pm \mathrm{0.14}$ and $\mathrm{0.34}\pm \mathrm{0.21}$ W m${}^{-\mathrm{2}}$ in summer and $\mathrm{0.57}\pm \mathrm{0.25}$ and $\mathrm{0.68}\pm \mathrm{0.41}$ W m${}^{-\mathrm{2}}$ in winter in the UV range. To evaluate the contribution of BrC to total aerosol absorption, we also estimated the direct absorption of EC based on the carbon analyzer data according to the method described by Kirillova et al. (2014b) and Kirchstetter and Thatcher (2012) (see Supplement). The estimated contributions of light absorption of BrC relative to EC are shown in Table 3. In the visible region, the contribution is estimated at $\mathrm{10.0}\pm \mathrm{3.52}$ % in summer and $\mathrm{4.99}\pm \mathrm{1.23}$ % in winter for WS-BrC and $\mathrm{6.19}\pm \mathrm{2.42}$ % and $\mathrm{4.51}\pm \mathrm{1.44}$ %, respectively, for WI-BrC. However, in the UV range, the fractions increase to $\mathrm{49.3}\pm \mathrm{14.5}$ % in summer and $\mathrm{25.9}\pm \mathrm{5.47}$ % in winter for WS-BrC and $\mathrm{29.4}\pm \mathrm{11.0}$ % and $\mathrm{29.0}\pm \mathrm{10.4}$ % for WI-BrC, which are within the range of the values reported in other regions in China (Huang et al., 2018), India (Kirillova et al., 2014b) and South Korea (Kirillova et al., 2014a). On the other hand, the direct light absorption of WI-BrC represents a substantive contribution to that of total BrC in this study, which is about 40 % in summer and more than 50 % in winter in both the UV and visible ranges, emphasizing the important role that WI-BrC likely plays in atmospheric chemistry and the Earth's climate system, especially in China.

4 Summary and conclusion

Both WS-BrC and WI-BrC showed elevated Abs in winter (4–7 times higher than those in summer), corresponding to much higher concentrations of WSOC and WIOC due to a combination of lower PBL height and enhanced primary emissions (e.g., from residential heating) in the cold season. No significant differences were found for the daytime and nighttime MACs of WS-BrC in summer or for the MACs of WS-BrC and WI-BrC in winter. However, the average daytime MAC${}_{\mathrm{365},\text{WI-BrC}}$ was more than twice the nighttime value in summer. We found that the average daytime concentrations of both parent PAHs and levoglucosan in summer were around 2 times the values at night, and the daytime OPAH concentration was more than 4 times the nighttime value. Moreover, OPAHs correlated well with Abs${}_{\mathrm{365},\text{WI-BrC}}$ in summer during daytime ($r^{\mathrm{2}}=\mathrm{0.72}$) but not during nighttime ($r^{\mathrm{2}}\mathit{<}\mathrm{0.1}$). These results demonstrated that photochemical formation of BrC and enhanced BB emissions (e.g., from cooking) contributed to the higher daytime MACs in summer. In winter, the Abs of WS-BrC correlated strongly with relative humidity, sulfate and ${\mathrm{NO}}_{\mathrm{2}}$, suggesting that aqueous-phase reactions played an important role in the formation of secondary BrC. Abs${}_{\mathrm{365},\text{WS-BrC}}$ correlated well with the concentrations of nitrophenols in both seasons, suggesting an important contribution of nitrated aromatic compounds to light absorption of WS-BrC. However, this contribution is much lower in summer due to faster photodegradation reactions of these compounds. WS-BrC and WI-BrC were estimated to account for $\mathrm{0.83}\pm \mathrm{0.23}$ % and $\mathrm{0.53}\pm \mathrm{0.33}$ %, respectively, of the total down-welling solar radiation in the UV range in summer and $\mathrm{1.67}\pm \mathrm{0.72}$ % and $\mathrm{2.07}\pm \mathrm{1.24}$ %, respectively, in winter. The substantive contribution of WI-BrC to total BrC absorption ($\sim \mathrm{40}$ % in summer and > 50 % in winter) emphasizes the important role that WI-BrC likely plays in atmospheric chemistry and the Earth's climate system.

Data availability

Data are available by contacting the corresponding authors.

The supplement related to this article is available online at: https://doi.org/10.5194/acp-20-4889-2020-supplement.

Author contributions

JiaL, QZ, GW, KFH and JC designed the experiment. JiaL, GW and KFH arranged the sample collection. JinL, LaL and CW collected the samples. JiaL, JinL, JW, WJ and LiL analyzed the samples. JiaL, QZ and GW performed the data interpretation. JiaL, QZ and GW wrote the paper.

Competing interests

The authors declare that they have no conflict of interest.

Special issue statement

This article is part of the special issue “Multiphase chemistry of secondary aerosol formation under severe haze”. It is not associated with a conference.

Acknowledgements

This work was financially supported by the National Nature Science Foundation of China (nos. 41773117, 91644102, 41977332, 91543116). Jianjun Li also acknowledged the support of the Youth Innovation Promotion Association CAS (no. 2020407). The authors gratefully acknowledge the National Center for Atmospheric Research for the provision of the solar actinic flux and irradiance data (Quick TUV Calculator, http://cprm.acom.ucar.edu/Models/TUV/Interactive_TUV/, last access: 19 March 2019) used in this publication.

Financial support

This research has been supported by the National Nature Science Foundation of China (grant nos. 41773117, 91644102, 41977332, 91543116), and the Youth Innovation Promotion Association CAS (no. 2020407).

Review statement

This paper was edited by Jingkun Jiang and reviewed by three anonymous referees.