Relative importance of gas uptake on aerosol and ground surfaces characterized by equivalent uptake coefficients

Li, Meng; Su, Hang; Li, Guo; Ma, Nan; Pöschl, Ulrich; Cheng, Yafang

doi:https://doi.org/10.5194/acp-19-10981-2019

Articles | Volume 19, issue 16

https://doi.org/10.5194/acp-19-10981-2019

Articles | Volume 19, issue 16

Research article

29 Aug 2019

Research article |

| 29 Aug 2019

Relative importance of gas uptake on aerosol and ground surfaces characterized by equivalent uptake coefficients

Meng Li, Hang Su, Guo Li, Nan Ma, Ulrich Pöschl, and Yafang Cheng

Abstract

Quantifying the relative importance of gas uptake on the ground and aerosol surfaces helps to determine which processes should be included in atmospheric chemistry models. Gas uptake by aerosols is often characterized by an effective uptake coefficient (γ_eff), whereas gas uptake on the ground is usually described by a deposition velocity (V_d). For efficient comparison, we introduce an equivalent uptake coefficient (γ_eqv) at which the uptake flux of aerosols would equal that on the ground surface. If γ_eff is similar to or larger than γ_eqv, aerosol uptake is important and should be included in atmospheric models. In this study, we compare uptake fluxes in the planetary boundary layer (PBL) for different reactive trace gases (O₃, NO₂, SO₂, N₂O₅, HNO₃ and H₂O₂), aerosol types (mineral dust, soot, organic aerosol and sea salt aerosol), environments (urban areas, agricultural land, the Amazon forest and water bodies), seasons and mixing heights.

For all investigated gases, γ_eqv ranges from magnitudes of 10⁻⁶–10⁻⁴ in polluted urban environments to 10⁻⁴–10⁻¹ under pristine forest conditions. In urban areas, aerosol uptake is relevant for all species (γ_eff≥γ_eqv) and should be considered in models. On the contrary, contributions of aerosol uptakes in the Amazon forest are minor compared with the dry deposition. The phase state of aerosols could be one of the crucial factors influencing the uptake rates. Current models tend to underestimate the O₃ uptake on liquid organic aerosols which can be important, especially over regions with γ_eff≥γ_eqv. H₂O₂ uptakes on a variety of aerosols are yet to be measured under laboratory conditions and evaluated.

Given the fact that most models have considered the uptakes of these species on the ground surface, we suggest also considering the following processes in atmospheric models: N₂O₅ uptake by all types of aerosols, HNO₃ and SO₂ uptake by mineral dust and sea salt aerosols, H₂O₂ uptake by mineral dust, NO₂ uptakes by sea salt aerosols and O₃ uptake by liquid organic aerosols.

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Dates

Received: 19 Mar 2019 – Discussion started: 02 Apr 2019 – Revised: 09 Jul 2019 – Accepted: 19 Jul 2019 – Published: 29 Aug 2019

1 Introduction

Multiphase processes play an essential role in atmospheric chemistry and atmosphere–biosphere exchange (Ravishankara, 1997; Ammann et al., 1998, 2013; Gard et al., 1998; Usher et al., 2003; Bauer et al., 2004; Fowler et al., 2009; Kolb et al., 2010; Su et al., 2011, 2013; Herrmann, 2003; Herrmann et al., 2015; Pöhlker et al., 2012; Oswald et al., 2013; Andreae et al., 2015; George et al., 2015; McNeill, 2015; Pöschl and Shiraiwa, 2015; Quinn et al., 2015; Weber et al., 2015; Cheng et al., 2016; Fröhlich-Nowoisky et al., 2016; Lappalainen et al., 2016; Tang et al., 2016; Meusel et al., 2018). They not only affect the atmospheric trace gas concentrations but also modify the properties of condensed phases, commonly known as the aging process (Song and Carmichael, 1999; Cheng et al., 2006, 2012; Rudich et al., 2007; Andreae 2009; Jimenez et al., 2009; Gunthe et al., 2011; Ditas et al., 2018). In the planetary boundary layer (PBL), aerosols and the ground provide two kinds of surfaces for multiphase reactions. In previous gas uptake studies, different formulations have been used to describe and parameterize the gas uptake processes (Wesely, 1989, 2007; Ravishankara, 1997; Jacob, 2000; Wesely and Hicks, 2000; Zhang et al., 2003; Ammann and Pöschl, 2007; Pöschl et al., 2007).

A variety of ground surfaces, including vegetation, water, rock, roads and so on, can take up gaseous species via dry deposition, and, thus, have significant impacts on the budget of these reactive gases and on the physicochemical properties of the ground surface itself (Lelieveld and Dentener, 2000; Ashmore, 2005). Dry deposition is one of the major removal pathways for most gaseous species and has been extensively parameterized in atmospheric models (Wesely and Hicks, 2000; Zhang et al., 2002, 2003). A resistance model, which consists of the aerodynamic resistance, quasi-laminar resistance and surface resistance, has been widely applied to calculate the dry deposition flux in global and regional atmospheric models (see Fig. 1, Wesely and Hicks, 2000; Wesely, 2007). The dry deposition velocity, V_d (in units of cm s⁻¹) calculated as the reciprocal of the total resistance, is the key parameter to describe the uptake fluxes on the ground.

https://www.atmos-chem-phys.net/19/10981/2019/acp-19-10981-2019-f01

Figure 1Schematic illustration of gas uptake on the ground and on aerosols in the planetary boundary layer as characterized by resistance models. The relative importance of aerosol uptake and dry deposition on the ground is characterized by comparing the aerosol uptake coefficient (γ_eff) with an equivalent uptake coefficient (γ_eqv) corresponding to the deposition velocity (V_d).

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Since the late 1990s, the importance of reactive uptake of gases by aerosols has been commonly accepted (Ravishankara, 1997; Gard et al., 1998; Jacob, 2000). Gas uptake by aerosols not only influences the fate of reactive gases, but also changes the physiochemical properties of atmospheric aerosols (Kolb et al., 2010). Taking the multiphase chemistry into account has proven to be a key factor to explain the observations and improve the model performances (Zhang and Carmichael, 1999; Song and Carmichael, 2001; Liao and Seinfeld, 2005; Wang et al., 2006; McNaughton et al., 2009; X. Wang, et al., 2012; B. Zheng et al., 2015; Tang et al., 2017; Chen et al., 2018; Mu et al., 2018). Compared with dry deposition, the parameterization of gas uptake on aerosols is more challenging (Jacob, 2000; Pöschl and Shiraiwa, 2015). The mass transfer between gases and aerosols can be described by the resistance model in analogy with an electrical circuit that decoupled the physiochemical limitations in the gas phase, gas–surface interface and the bulk phase under (quasi-) steady-state conditions (Schwartz and Freiberg, 1981; Schwartz, 1986; Kolb et al., 1995). A simplified scheme, which relies on the formulation of an effective uptake coefficient (γ_eff) has been widely used in current atmospheric models (Jacob, 2000; Liao and Seinfeld, 2005; K. Wang et al., 2012). Growing numbers of laboratory studies have reported γ_eff for various trace gases and aerosol particles that are potentially important for atmospheric chemistry, such as O₃, NO₂, SO₂, N₂O₅, HNO₃ on mineral dust (Ullerstam et al., 2002; Mogili et al., 2006; Vlasenko et al., 2006; Wagner et al., 2008; Ndour et al., 2009), soot (Rogaski et al., 1997; Longfellow et al., 2000; Al-Abadleh and Grassian, 2000; Saathoff et al., 2001) and sea salt aerosols (Mochida et al., 2000; Gebel and Finlayson-Pitts, 2000; Hoffman et al., 2003; Thornton and Abbatt, 2005; Ye et al., 2010). A series of evaluations on the kinetic and photochemical data for the multiphase reactions were conducted afterwards (Crowley et al., 2010, 2013; Ammann et al., 2013; Burkholder et al., 2015). Pöschl et al. (2007), and the follow-up studies (e.g., Shiraiwa et al., 2010, 2011) developed a comprehensive kinetic model framework, enabling consistent and unambiguous descriptions of mass transfer and chemical reactions in aerosol systems.

However, the question still remains as to which surface types are more important for gas uptake in the PBL. The answer is not straightforward due to the following reasons:

First, although the surface of the Earth seems to be much larger than that of tiny aerosols, its contribution is diluted by the large volume of the PBL, resulting in a surface to volume ratio close to that of aerosol; for example, for a PBL height of 1000 m, the corresponding surface to volume ratio is 1000 µm² cm⁻³, which is comparable to aerosol surface area concentrations of 200–2000 µm² cm⁻³ for urban areas (Woo et al., 2001; Stanier et al., 2004; Wu et al., 2008, 2017; Ma and Birmili, 2015) and 200–1000 µm² cm⁻³ for rural environments (Ma et al., 2014; Ma and Birmili, 2015; Wu et al., 2017; Held et al., 2008).
Second, different formulations also hinder the comparison. As illustrated above, different schemes, formulations and terminologies are applied to calculate the uptake fluxes on ground and aerosols. The dry deposition velocity (V_d) is the fundamental parameter to describe the deposition process on the ground, whereas the effective uptake coefficient (γ_eff) is used to describe the uptake fluxes on aerosols.

In this study, we conducted a comparative assessment of the gas uptake on both ground and aerosol surfaces. Our goal is to identify the prevailing multiphase process in the PBL, especially those processes that have not yet been sufficiently considered in atmospheric models. Section 2 describes the methods of calculation and comparison. We present and discuss the main results in Sect. 3, which is followed by a summary of our major findings in Sect. 4.

2 Methods

In this work, we compared the relative importance of gas uptake by the ground and by aerosols based on their uptake fluxes. In this comparison, resistance models were applied to calculate uptake fluxes on both ground and aerosol surfaces (see Fig. 1) as detailed below. The uptake fluxes of six reactive gases (O₃, NO₂, SO₂, N₂O₅, HNO₃ and H₂O₂) were calculated and compared for four typical land use categories (urban areas, agricultural land, the Amazon forest and water) and five aerosol types (mineral dust, soot, solid organic aerosol, liquid organic aerosol and sea salt aerosol). These species were chosen considering their potential importance regarding dry deposition on the ground and uptake on aerosols within the troposphere.

2.1 Ground gas uptake

Dry deposition fluxes were calculated following the scheme and parameters of Wesely (1989) and Zhang et al. (2003). As shown in Fig. 1, the resistance model applied to characterize the dry deposition process includes the aerodynamic resistance (R_a), quasi-laminar resistance (R_b) and surface resistance (R_c). The basic equations for the flux calculations are as follows:

\begin{matrix} (1) & F_{grd} = - V_{d} [X_{g}] \times 10^{- 2} \end{matrix}

\begin{matrix} (2) & V_{d} = \frac{1}{R_{grd}} = \frac{1}{R_{a} + R_{b} + R_{c}}, \end{matrix}

where F_grd represents the gas deposition fluxes on various ground surfaces (mol m⁻² s⁻¹); V_d represents the deposition velocity (cm s⁻¹); [X_g] is the averaged gas concentration (mol m⁻³); and R_grd is the total resistance in the dry deposition process (s cm⁻¹), composed of R_a, R_b and R_c. The detailed equations and parameterization scheme for the determination of R_a, R_b and R_c are provided in the Supplement. A neutral meteorological condition was assumed in the calculation. We present the key input parameters and the calculated V_d in Tables S1 and S2, respectively.

Table 1Aerosol uptake coefficients (γ_eff) observed in laboratory experiments ^a.

^a A detailed review with references for γ_eff values is given in Tables A1–A4. ^b The feature (initial or steady state) of the reported uptake coefficients are mainly derived from the literature. If no specific description is found, we assign the measurements on a timescale of milliseconds or seconds to the initial state, and those with a longer exposure time (∼ 1 h or longer) to the steady state. ^c “n/a” denotes not available.

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2.2 Aerosol gas uptake and the effective uptake coefficient (γ_eff)

The net flux of gas X from the gas phase to the condensed phase (J_net, mol m⁻² s⁻¹) for one aerosol particle can be expressed as Eq. (3) under (quasi-) steady-state conditions (Pöschl et al., 2007):

\begin{matrix} (3) & J_{net} = \frac{ω γ_{eff}}{4} [X_{g}] \end{matrix}

The effective uptake coefficient, γ_eff, represents the number of gas molecules taken by the aerosol particle divided by the number of those impacting onto the particle surface (Pöschl et al., 2007); ω is the mean thermal velocity (m s⁻¹) – we use a typical value of 300 m s⁻¹ in this study; [X_g] is the averaged gas concentration far away from the aerosol surface (mol m⁻³).

\begin{matrix} (4) & \frac{1}{γ_{eff}} = \frac{1}{Γ_{g}} + \frac{1}{α} + \frac{1}{Γ_{b}} \end{matrix}

As shown in Fig. 1, resistance models have been widely applied to quantify the mass transfer of gases to aerosol particles. For gas uptake on liquid droplets, following the resistance model as described by Eq. (4), the overall resistance 1∕γ_eff is composed of three resistor terms due to gas diffusion (1∕Γ_g), interfacial mass transfer (1∕α) and bulk diffusion and reaction (1∕Γ_b) (Pöschl et al., 2007). The conductance of gas diffusion is commonly calculated based on $Γ_{g} = 8 D_{g} ω^{- 1} d_{p}^{- 1}$ , where D_g is the diffusion coefficient of gas X in the gas phase (m² s⁻¹), and d_p represents the aerosol particle diameter. For large particles and very fast uptake processes, the gas diffusion process can be a limiting factor for the overall uptake (Tang et al., 2014a). For atmospheric aerosols with a diameter of ∼ 0.2 µm, the related gaseous uptake tends to be limited by the free molecular collision rate (uptake rate $\to ω α A [X_{g}] / 4$ ) (Jacob, 2000). Thus, in the following analyses, we mainly focus on the discussion of γ_eff, and neglect the diffusion resistance in the gas phase.

Given a mixing height of h and an aerosol surface area density of A (particle surface area per unit volume of air, µm² cm⁻³), the total uptake flux of gas X by aerosols (F_aer, mol m⁻² s⁻¹) is

\begin{matrix} (5) & F_{aer} = J_{net} A h = \frac{ω γ_{eff}}{4} A h [X_{g}] \times 10^{- 6}, \end{matrix}

where 10⁻⁶ is the unit conversion factor. We summarized the measured uptake coefficients for a variety of gas species and aerosol types at both the initial state and the steady state in Table 1 (details in Tables A1–A4). These coefficients are mainly derived from measured values in the literature, reviewed data from the IUPAC (International Union of Pure and Applied Chemistry) “Task Group on Atmospheric Chemical Kinetic Data Evaluation” (Crowley et al., 2010, 2013; Ammann et al., 2013; available at http://iupac.pole-ether.fr/, last access: January 2019) and the NASA JPL (Jet Propulsion Laboratory, Burkholder et al., 2015) (see references in Tables A1–A4). As we focus on the PBL, γ_eff values measured at room temperatures (∼ 298 K) are mainly presented. Gas uptakes at very low temperatures (e.g., in the polar region or stratosphere) are outside the scope of this study and should be explored in future work.

https://www.atmos-chem-phys.net/19/10981/2019/acp-19-10981-2019-f02

Figure 2Relation between γ_eqv and V_d for a mixing height of 300 m and aerosol surface area densities (A) observed at different locations and under different conditions: Amazon forest (Pöschl et al., 2010), Leipzig/Melpitz (Ma et al., 2014; Ma and Birmili, 2015), Pittsburgh (Stanier et al., 2004), Wangdu with and without haze event (Wu et al., 2017) and Beijing (Wu et al., 2008). For each city/condition, the line is labeled with the corresponding aerosol surface area density. Aerosol particle number concentrations are also provided for orientation.

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Although the initial and steady-state uptake coefficients are listed, it should be noted that the values at the initial state may not be appropriate for direct application in chemical transport models (CTMs) considering the subsequent surface saturation and depletion of reactants for several cases (e.g., on mineral dust and soot; Ndour et al., 2009; Stephens et al., 1986; Ammann et al., 1998; Kalberer et al., 1999). In general, the upper limit and lower limit are determined based on those derived using the geometric surface and the BET (Brunauer–Emmett–Teller) surface, respectively. Preferences are given to those measured at steady state using ambient aerosols, or values recommended by the IUPAC group with relatively high reliability. As shown in Table A1, variances of more than 3 orders of magnitude are found for SO₂ and O₃ uptake on mineral dust depending on the gas concentration and aerosol components (Michel et al., 2002, 2003; Mogili et al., 2006; Ullerstam et al., 2002, 2003; Li et al., 2006). Large discrepancies also exist for SO₂ and HNO₃ uptake on soot (Longfellow et al., 2000; Saathoff et al., 2001; Xu et al., 2015). For H₂O₂, limited measurements of γ_eff have been conducted for aerosols apart from mineral dust.

2.3 Uptake coefficient at equivalent flux (γ_eqv)

To help the evaluation, we define an uptake coefficient at equivalent flux γ_eqv. Here, γ_eqv is the effective uptake coefficient on aerosols when the ground flux equals the aerosol flux within the PBL. When γ_eff>γ_eqv, the aerosol surfaces are more important than the ground surfaces regarding the gas uptake and vice versa. By letting F_grd equal F_aer, we can derive the expression for γ_eqv as follows:

\begin{matrix} (6) & γ_{eqv} = \frac{4}{3} \frac{V_{d}}{A h} \times 10^{2} \end{matrix}

and at a typical mixing height of 300 m, we have

\begin{matrix} (7) & γ_{eqv} = \frac{V_{d}}{2.25 A} \end{matrix}

According to Eq. (6), γ_eqv is proportional to V_d, and is inversely proportional to the aerosol surface area density and the mixing height. We calculated a series of γ_eqv values for a variety of gas species, land use categories, seasons, aerosol surface area densities (A) and mixing heights (h).

As defined, γ_eqv reflects the relative importance of gas uptake on aerosols compared to those on the ground surfaces. Larger γ_eqv indicates a higher probability for gases to deposit on the ground rather than on aerosols for further chemical reactions on surface and bulk, and vice versa. Low dry deposition velocities and high loadings of aerosols providing large amounts of surface reaction sites can benefit gas uptake on aerosols. The derived γ_eqv and γ_eff values from laboratory measurements are compared in Sect. 3.

3 Results and discussion

To estimate the possible range of γ_eqv for different environments, we designed different scenarios with the mixing height h varying between 100 m and 1.0 km (a typical value of 300m), and A varying with land use categories as follows:

a.
Range of A: we set the range of A based on measurements in various environments collected from the literature. A values are in the range of 200–2000 µm² cm⁻³ for aerosols in urban areas (Woo et al., 2001; Stanier et al., 2004; Wu et al., 2008, 2017; Ma and Birmili, 2015), 200–1000 µm² cm⁻³ in agricultural regions (suburban and rural, Held et al., 2008; Su et al., 2008b; Ma et al., 2014; Ma and Birmili, 2015; Wu et al., 2017), 8–700 µm² cm⁻³ in the Amazon forest (Zhou et al., 2002; Rissler et al., 2006; Pöschl et al., 2010; Andreae et al., 2015) and 20–200 µm² cm⁻³ for sea salt aerosols (SSA, O'Dowd et al., 1997; Ghan et al., 1998; Lewis and Schwartz, 2004).
b.
Typical A (corresponding to the typical γ_eqv in Figs. 3–5): we use 1050 µm² cm⁻³ for the urban environment (Wu et al., 2017), 230 µm² cm⁻³ for agricultural regions (Held et al., 2008), 46 µm² cm⁻³ for the Amazon forest (Rissler et al., 2006) and 76 µm² cm⁻³ for SSA (canonical distribution at a wind speed of 10 m s⁻¹, Lewis and Schwartz, 2004).

It should be noted that the above ranges and the typical values of A are derived from current available experiments to support our analyses and discussions in this study, but still cannot cover all cases of particle distributions in the world.

Figure 2 shows the calculated γ_eqv over a range of dry deposition velocities and aerosol surface area densities at a mixing height of 300m. V_d values for different scenarios were calculated based on the resistance scheme illustrated above, showing a range of 0.01–2.3 cm s⁻¹, with the lowest for NO₂ and the highest for N₂O₅ and HNO₃ (details in Table S2). Aerosol surface area densities covered a range of 8.6 to 2139 µm² cm⁻³, from pristine rainforest to polluted megacities, respectively. We show the calculated γ_eqv under typical conditions (typical A as described above, h=300 m) by season in Table S3 and a detailed illustrated γ_eqv for each gas species in the sections below. As shown in Fig. 2, γ_eqv decreases with increasing A, which is closely related to the air pollution level, and increases with increasing V_d.

For small V_d (≤ 0.1 cm s⁻¹), γ_eqv values lie in the range of 10⁻⁵–10⁻⁴ for clean regions, such as Leipzig, Melpitz and Pittsburgh, and decrease to 10⁻⁶–10⁻⁵ in polluted cities including Beijing and Wangdu. This low dry deposition can be found for NO₂ above the urban ground (0.03 cm s⁻¹, seasonal mean), and O₃, NO₂, SO₂ and H₂O₂ on water bodies (0.07, 0.01, 0.03 and 0.08 cm s⁻¹, respectively). The downward shift of γ_eqv with larger aerosol surface area density suggests the increased importance of gas uptake in polluted areas compared with clean areas.

With the increase of V_d (> 0.1 cm s⁻¹), γ_eqv increases to 10⁻⁵–10⁻² accordingly. In a pristine region of the Amazon forest, γ_eqv can reach up to 10⁻². The lowest γ_eqv is $2.1 \times 10^{- 5}$ during haze events with high concentrations of fine particulate matter and surface area in the PBL (A=2139 µm² cm⁻³). In this study, this range of V_d covers most of the investigated cases, including O₃, SO₂, H₂O₂ on urban/Amazon forest/agricultural region, NO₂ on agricultural region/Amazon forest, and N₂O₅ and HNO₃ over all land use types (see Table S2). Thus, we can derive a general conservative criterion of $γ_{eff} > 10^{- 5}$ for aerosol uptake to compete with the dry deposition.

In the following, we further compared γ_eqv to the laboratory measurements of γ_eff for different reactive gases (O₃, NO₂, SO₂, N₂O₅, HNO₃ and H₂O₂). The uptake coefficients at the initial state are generally 1–3 magnitudes higher than those at steady state (see Table 1 and Figs. 3–5). Considering the timescale of gas uptake by aerosols in the real world and applications in models, we mainly focus on the comparisons of γ_eqv and the steady-state γ_eff in the following discussions.

https://www.atmos-chem-phys.net/19/10981/2019/acp-19-10981-2019-f03

Figure 3Equivalent uptake coefficients (γ_eqv, a) and laboratory measurement values (γ_eff, b) for O₃ on different ground types and aerosols. For γ_eqv, the upper whiskers represent maximum values calculated at the lowest A and h (h=100 m), the lower whiskers represent minimum values calculated at the highest A and h (h=1 km), and boxes represent typical conditions (typical A as described in Sect. 3.1, h=300 m). For γ_eff, the gray bar represents the range of initial values, and the blue bar represents the range of steady-state values observed in laboratory experiments.

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https://www.atmos-chem-phys.net/19/10981/2019/acp-19-10981-2019-f04

Figure 4Uptake coefficients (γ_eqv, a, c; γ_eff, b, d) for NO₂ and SO₂ on different ground types and aerosols.

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3.1 O₃

Under typical conditions (typical A by land use, h=300 m, as illustrated above), γ_eqv values for O₃ between $9.2 \times 10^{- 5}$ and $2.2 \times 10^{- 3}$ are determined, with the lowest value in urban areas and the highest value in the Amazon forest. The extended range is $1.4 \times 10^{- 5}$ – $3.8 \times 10^{- 2}$ , which varies with particle area densities and mixing heights (Fig. 3). There are overlaps between γ_eqv and γ_eff for liquid organic aerosols (OAs) among all investigated typical environments, and other types of aerosols under favorable circumstances for aerosol uptake in urban areas. γ_eff values lie below γ_eqv values for other combinations of aerosol types and land use categories.

We can only expect comparable uptake between ground and aerosol surfaces of mineral dust, soot, solid organic aerosol and SSA at high aerosol loadings in urban areas (e.g., A=1400 µm² m⁻³, Beijing) and/or high mixing layers (e.g., h=1.0 km). Combined with the measured uptake coefficients which lie in the range of $1.0 \times 10^{- 7}$ to $1.6 \times 10^{- 4}$ for soot, $1.1 \times 10^{- 5}$ to $3.0 \times 10^{- 3}$ for liquid organic aerosols and $1.3 \times 10^{- 6}$ to $1.0 \times 10^{- 4}$ for SSA, we can expect high uptake fluxes of O₃ on these three kinds of aerosols when the corresponding γ_eff value is larger than 10⁻⁴ for ground surfaces other than urban.

Complexity comes from the organic aerosols, of which the phase state has a large impact on the uptake and is subject to the temperature, relative humidity and particle size (see Fig. 3) (Virtanen et al., 2010; Cheng et al., 2015). For liquid organic aerosols, the measured γ_eff values show large variances from 10⁻⁵ to 10⁻³ and corresponding γ_eqv values fall into this range, demonstrating that O₃ uptake on aerosols is comparable to that on the ground. Thus, multiphase reactions of O₃ on liquid organic aerosols should be included in atmospheric models. This is also consistent with the findings of Mu et al. (2018), which demonstrate the importance of the phase state of aerosols in multiphase reactions and the transport of polycyclic aromatic hydrocarbons to improve the model performances at both regional and global scales.

Shiraiwa et al. (2017) show the global map of the SOA (secondary organic aerosol) phase state at the Earth's surface. SOA in southern China, the Amazon forest and South Africa are mainly in the liquid phase within the PBL. For these regions, the comparable uptake fluxes for O₃ on liquid organic aerosols compared with the dry deposition demonstrate the importance of aerosol uptake. Dry deposition is one of the major sinking pathways for O₃ (Ganzeveld and Lelieveld, 1995). The uptakes of O₃ by aerosols are expected to contribute comparable sink fluxes to dry deposition regionally. Inclusion of the O₃ uptake by organic aerosols in these regions will increase the deposition rate of O₃ on aerosols, affect its lifetime, and further affect the fate of HO_x and NO_x through chemical reactions in the gas phase.

3.2 NO₂

For NO₂, γ_eqv values are generally above the upper limit of γ_eff in urban, agricultural and forest environments, as shown in Fig. 4, demonstrating that ground surfaces are of greater importance than aerosols. Overlaps are found for SSA on various land use types and also for liquid organic aerosols in the urban environment.

NO₂ tends to deposit on the ground surface instead of on mineral dust particles, soot and solid organic aerosols. As reviewed in Tables A1–A3, the effective uptake coefficient of NO₂ on these three kinds of aerosols are at magnitudes of $< 10^{- 6}$ under steady-state conditions. For A values ranging from 46 µm² cm⁻³ (Amazon) to 1050 µm² cm⁻³ (Wangdu) and at a mixing height of 300 m, γ_eqv values of NO₂ lie between $1.4 \times 10^{- 5}$ and $1.3 \times 10^{- 3}$ , and are 1–3 orders of magnitude larger than γ_eff on these three kinds of aerosols. Increasing the PBL mixing height and aerosol surface area may reduce γ_eqv values by ∼ 1–2 orders of magnitude, but they are still above the measured γ_eff values at steady state.

The reactive uptake coefficients of NO₂ by SSA were quantified in the range of 10⁻⁶ to 10⁻⁴, demonstrating the ability of ambient sea salt aerosols to take in chemical species like NO₂ (Harrison and Collins, 1998; Yabushita et al., 2009; Ye et al., 2010). The high uptake coefficients observed for SSA ( $6.0 \times 10^{- 7}$ – $3.0 \times 10^{- 4}$ ) are probably attributed to the reactions of Cl⁻ with dissolved NO₂ in the aqueous phase (Msibi et al., 1993; Harrison and Collins, 1998; Yabushita et al., 2009). The overlapped values of γ_eqv and γ_eff show that the NO₂ uptake by SSA is comparable to the uptake by the land surface or water bodies in coastal areas; therefore, it should be taken into account in atmospheric models.

Another important process is the NO₂ uptake on liquid organic aerosols (γ_eff in the range of $2.2 \times 10^{- 7}$ – $7.0 \times 10^{- 6}$ ) in urban areas of high A. As shown in Fig. 4, the lower limit of γ_eqv in urban is $\sim 2.2 \times 10^{- 6}$ , which lies within the range of γ_eff. The uptake coefficients of NO₂ on pure water are estimated to be around 10⁻⁷–10⁻⁶, driven by low solubility and slow hydrolysis rates (Kleffmann et al., 1998; Gutzwiller et al., 2002; Ammann et al., 2005; Komiyama and Inoue, 1980). Harrison and Collins (1998) reported a high γ_eff of 5.4– $5.8 \times 10^{- 4}$ for NO₂ uptake on ammonium sulfate aerosols at high relative humidity (RH; RH = 50 %, 85 %). The presence of reactants such as inorganics of ${HSO}_{3}^{-}$ or phenolic compounds in aqueous aerosols can promote the uptake significantly via chemical reactions with dissolved NO₂ to 10⁻⁵–10⁻⁴ (Msibi et al., 1993; Lee and Tang, 1998; Spindler et al., 2003; Ammann et al., 2005; Yabushita et al., 2009; Su et al., 2008a; Cheng et al., 2016). Multiple measurements and modeling work have also pointed out that the high alkalinity of aqueous aerosols is key to promote the reactions and further increase the NO₂ uptake rates (Ammann et al., 2005; Herrmann et al., 2015; Cheng et al., 2016). Therefore, the NO₂ uptake on alkaline aqueous aerosols containing organic/inorganic reactants is competitive in the urban atmosphere, and should be addressed in detail in models. In the Amazon forest, where A is too low (46 µm² cm⁻³), corresponding to a γ_eqv value of the order of 10⁻³, even a high γ_eff value of 10⁻⁴ is not sufficient to compete with the uptake by the ground surfaces.

In summary, the NO₂ uptake coefficients on liquid aerosol droplets can vary by 3 orders of magnitude with aerosol composition (10⁻⁷–10⁻⁴). On liquid organic aerosols and sea salt aerosols, the uptake can reach up to 10⁻⁶–10⁻⁴ via chemical reactions (Abbatt and Waschewsky, 1998; Ammann et al., 2005; Yabushita et al., 2009), which is significantly larger than the uptake on pure water of 10⁻⁷–10⁻⁶ (Lee and Tang, 1988; Kleffmann et al., 1998; Gutzwiller et al., 2002). For liquid ammonium sulfate aerosols, discrepancies with 2 orders of magnitude (10⁻⁶–10⁻⁴) in γ_eff values are found, although the reasons for this are currently unknown (Harrison and Collins, 1998; Tan et al., 2016). Considering these variances, aerosol components are important to parameterize the γ_eff in atmospheric models.

3.3 SO₂

The calculated γ_eqv values of SO₂ vary between $1.0 \times 10^{- 4}$ and $2.1 \times 10^{- 3}$ for land surfaces and $1.7 \times 10^{- 4}$ above water bodies under typical conditions. As shown in Fig. 4, the SO₂ uptake by mineral dust is comparable to the ground uptake in urban areas, and under favorable conditions over agricultural land and water bodies. For soot, aerosol uptake is magnitudes lower than those on the ground (γ_eqv≥γ_eff); thus, this process is unimportant for SO₂. For SSA, γ_eff values of $3.2 \times 10^{- 3}$ – $1.7 \times 10^{- 2}$ have been reported for SO₂ at an aerosol pH of 5.4–6.6, which is high enough to compete with dry deposition over most environments (Gebel et al., 2000). Additional reactions of SO₂ and O₃ in alkaline solutions are found to promote the SO₂ uptake and form sulfate on SSA at first stage (Laskin et al., 2003). However, aerosol acidification due to production of H⁺ has been suggest to quickly suppress the oxidation process in the real world (Alexander et al., 2005). We suggest including both the SO₂ uptake on SSA and the aerosol acidification process in models.

The extended range of γ_eqv is $1.6 \times 10^{- 5}$ – $1.6 \times 10^{- 3}$ , $5.5 \times 10^{- 5}$ – $2.8 \times 10^{- 3}$ and $1.9 \times 10^{- 5}$ –1.9 $\times 10^{- 3}$ for urban areas, agricultural land and water bodies, respectively. The γ_eff of mineral dust falls in this range under high aerosol loadings or high mixing heights. The wide range of γ_eff values for mineral dust ( $1.5 \times 10^{- 8}$ to $6.3 \times 10^{- 4}$ ) is a big challenge regarding its application in models, because it can be affected by the presence of oxidants, the phase state, the components of the tested dust and the use of surface area in calculation (Huss et al., 1982; Ullerstam et al., 2003; Li et al., 2006; Alexander et al., 2009; Zhang et al., 2018). We further discuss the SO₂ uptake on mineral dust under different conditions in the following.

Under dry conditions (as reviewed in Table A1), γ_eff values of the order of 10⁻⁷–10⁻⁴ are measured (Goodman et al., 2001; Usher et al., 2002; Ullerstam et al., 2003; Adams et al., 2005; Li et al., 2006). IUPAC recommends an averaged value of $4 \times 10^{- 5}$ for atmospheric modeling, based on measurements using airborne aerosols (Usher et al., 2002; Adams et al., 2005).

In environments with a high RH, water can enhance or inhibit the uptake by affecting reactive sites, and this effect varies with experimental conditions (Huang et al., 2015; Zhang et al., 2018). Conversely, the uptake rate can be improved by several factors and/or aqueous chemical reactions, such as the presence of O₃, H₂O₂ and transition metal ions (TMIs), which strongly depend on the aerosol pH (Jayne et al., 1990; Li et al., 2006; Cheng et al., 2016; Zhang et al., 2018). The initial γ_eff value of SO₂ on pure water can reach as high as 10⁻³–0.1, varying with pH (Gardner et al., 1987; Worsnop et al., 1989; Jayne et al., 1990; Ponche et al., 1993). Depending on aerosol pH and oxidant concentrations, the regimes of SO₂ uptake and sulfate formation may transit from a TMI- or H₂O₂-dominated regime to a NO₂- or O₃-dominated regime (Cheng et al., 2016). In this case, the SO₂ uptake on aqueous aerosols is expected to play a dominant role over dry deposition under specific circumstances, such as haze events (He et al., 2014; Cheng et al., 2016), which should be quantified by combining in situ measurements and atmospheric modeling.

As shown in the examples in Table S4, several model schemes adopt a γ_eff value of $\sim 10^{- 4}$ (Liao and Seinfeld, 2005; K. Wang et al., 2012), around 1 order of magnitude higher than the measured values under low RH conditions (Usher et al., 2002; Ullerstam et al., 2003; Adams et al., 2005; Li et al., 2006). For example, in Liao and Seinfeld (2005), γ_eff is $3.0 \times 10^{- 4}$ for RH < 50 %, and 0.1 for RH ≥ 50 % (see Table S4 with references). Under low RH conditions, the uptake coefficient commonly used in models is based on the dry deposition measurement of SO₂ on calcareous soils, cements and Fe₂O₃, rather than on laboratory measured γ_eff values recommended by IUPAC. The reason for this divergence is unclear, and we are in favor of using the IUPAC recommended γ_eff (e.g., Zhu et al., 2010, as shown in Table S4). The high uptake coefficient in models under high RH conditions is based on two assumptions: fast oxidation of SO₂ by O₃ in the aqueous phase, and high alkalinity in the dust aerosols. Thus, this γ_eff value should be applied with the caveat that these prerequisites have been fulfilled, especially when extending it for other type of aerosols (Zheng et al., 2015).

https://www.atmos-chem-phys.net/19/10981/2019/acp-19-10981-2019-f05

Figure 5Uptake coefficients (γ_eqv, a, c, e; γ_eff, b, d, f) for N₂O₅, HNO₃ and H₂O₂ on different ground types and aerosols.

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3.4 N₂O₅, HNO₃ and H₂O₂

N₂O₅, HNO₃ and H₂O₂ demonstrate their high uptake ability on atmospheric aerosols, as shown in Fig. 5. For N₂O₅, the similar or higher values of γ_eff over γ_eqv demonstrate that the multiphase uptake by all types of aerosols is as important as or even more important than dry deposition. The N₂O₅ uptake by aerosols has been widely included in models (Bauer et al., 2004; Liao and Seinfeld, 2005; K. Wang et al., 2012). The uptake of HNO₃ and H₂O₂ by mineral dust and HNO₃ by SSA are important given the overlap between γ_eff and γ_eqv; thus, this uptake should also be characterized in atmospheric models in detail.

For N₂O₅, the measured uptake coefficients are $4.8 \times 10^{- 3}$ –0.20 for mineral dust, $4.0 \times 10^{- 5}$ – $6.3 \times 10^{- 3}$ for soot and $6.4 \times 10^{- 3}$ – $3.9 \times 10^{- 2}$ for SSA, which are comparable to or 1–2 orders of magnitude higher than the calculated γ_eqv values of 9 $.3 \times 10^{- 4}$ – $2.1 \times 10^{- 2}$ under typical conditions (details in Tables A1–A4). For other kinds of aqueous aerosols, e.g., ammonium sulfate aerosols with high RH, N₂O₅ can also be taken up very efficiently with γ_eff values of 10⁻³–10⁻² (Kane et al., 2001; Schötze and Herrman, 2002; Hallquist et al., 2003; Badger et al., 2006). The importance of N₂O₅ and HNO₃ uptake by aerosols has been sufficiently addressed in previous studies (Evans and Jacob, 2005; Liao and Seinfeld, 2005; Stadtler et al., 2018). In current CTMs, γ_eff of N₂O₅ is explicitly calculated as a function of temperature and RH, for which the relation was determined from laboratory experiments (Kane et al., 2001; Bauer et al., 2004; Liao and Seinfeld, 2005).

The extended ranges of γ_eqv for HNO₃ is $1.5 \times 10^{- 4}$ – $1.5 \times 10^{- 2}$ (urban), $1.5 \times 10^{- 4}$ – $7.7 \times 10^{- 3}$ (agricultural land), $4.2 \times 10^{- 4}$ – $3.7 \times 10^{- 1}$ (Amazon forest) and $7.0 \times 10^{- 4}$ – $7.0 \times 10^{- 2}$ (water), which are within or below the range of γ_eff for mineral dust and SSA. The higher γ_eff of $1.0 \times 10^{- 3}$ to 0.21 for mineral dust and of $5.0 \times 10^{- 4}$ to 0.25 for SSA demonstrated the more important role of aerosol uptake than of the ground surfaces. The uptake of HNO₃ on soot and solid organic aerosols appears to be less important. The HNO₃ uptake on mineral dust has been implemented in current models with an uptake coefficient of 0.1, or between $1.1 \times 10^{- 3}$ and 0.2, which is consistent with the range of experimentally determined γ_eff values reviewed in this study (Liao and Seinfeld, 2005; K. Wang et al., 2012).

The study of the uptake of H₂O₂ by aerosols is rather limited compared with the other aforementioned trace gases. The reported γ_eff values on dust and ambient aerosol samples suggest that aerosol uptake is more important than that by the ground surface. The measured uptake coefficients of H₂O₂ on mineral dust are in the range of $1.0 \times 10^{- 5}$ – $9.4 \times 10^{- 4}$ and overlap with the calculated γ_eqv of $1.5 \times 10^{- 4}$ – $3.0 \times 10^{- 3}$ under typical conditions. Ambient aerosols collected in urban areas show similar γ_eff values of H₂O₂ ( $8.1 \times 10^{- 5}$ – $4.6 \times 10^{- 4}$ ) to mineral dust (Wu et al., 2015). The aerosol chemistry of H₂O₂ in the troposphere is complex and unclear (Liang et al., 2013; Li et al., 2016). In some cases, a net emission of H₂O₂ from aerosol surfaces has been speculated instead of an uptake or adsorption as a result of HO_x radicals cycling (Liang et al., 2013; Li et al., 2016). Most models only parameterize the H₂O₂ uptake by dust particles (Dentener et al., 1996; K. Wang et al., 2012). The uptake by other aerosol types has not been considered due to limited experimental data. Thus, more laboratory kinetic measurements are needed. As ambient aerosol samples show a γ_eff similar to that of dust particles (Wu et al., 2015; Pradhan et al., 2010ab; Zhou et al., 2016), we suggest adopting the γ_eff of dust particles and applying it to all aerosol types before new kinetic data become available.

4 Discussion

In this section, we address several important issues based on the comparisons. The large variability found in the measured γ_eff for SO₂ and NO₂ is discussed in Sect. 4.1. How to apply the measured γ_eff in atmospheric models to represent the reactivity of heterogeneous reactions still remains an open question. Regarding this, we discuss the underlying important factors that should be taken into account in Sect. 4.2. Outlooks and the limitations of this work are provided in Sect. 4.3.

4.1 Large variability of γ_eff for SO₂ and NO₂

Notably, there is a large variability in the reviewed γ_eff of SO₂ uptake by dust particles (as discussed in Sect. 3.2). For SO₂ uptake by dust particles, differences of more than 3 orders of magnitude are found for its uptake by mineral dust (10⁻⁸–10⁻⁴, steady state), which may be attributed to several factors such as the experimental particle substrates, co-existing oxidants (O₃, H₂O₂ and NO₂), RH, measurement techniques and the surface area used in data processing (Ullerstam et al., 2003; Li et al., 2006; Huang et al., 2015). For example, a γ_eff of $1.6 \times 10^{- 4}$ was derived for SO₂ uptake on Al₂O₃ powder (Usher et al., 2002). The uptake coefficient was reduced by 1 order of magnitude to 1.6– $6.6 \times 10^{- 5}$ using ambient aerosols of Chinese loess/Saharan dust (Usher et al., 2002; Ullerstam et al., 2003; Adams et al., 2005), indicating that the particle substrate is key in investigating SO₂ uptake. Similarly, through cross-comparisons between the other different investigations shown in Table A1, we anticipate that the above factors can all contribute to this large discrepancy. As recommended by IUPAC, an uptake coefficient of $4 \times 10^{- 5}$ based on airborne measurements is suggested for use in models under low RH conditions. For high RH, we suggest determining γ_eff using information on aerosol pH due to the high correlation between these factors, as illustrated in Sect. 3.3.

For NO₂ uptake on liquid aerosol droplets, differences of 3 orders of magnitude are found (10⁻⁷–10⁻⁴), which vary significantly with aerosol composition. On pure water, the uptake is measured at 10⁻⁷–10⁻⁶ (Lee and Tang, 1988; Kleffmann et al., 1998; Gutzwiller et al., 2002). On liquid organic aerosols and sea salt aerosols, the uptake can be effectively accelerated to 10⁻⁶–10⁻⁴ via multiphase reactions (Abbatt and Waschewsky, 1998; Ammann et al., 2005; Yabushita et al., 2009). For ammonium sulfate aerosols, large discrepancies of 10⁻⁶–10⁻⁴ for the initial γ_eff are found, although the reasons for this are currently unknown (Harrison and Collins, 1998; Tan et al., 2016). Based on the reviewed measurements, we suggest using a relatively high uptake coefficient ( $\sim 10^{- 4}$ ) for aqueous aerosols containing reactants, and a lower value ( $< 10^{- 6}$ ) for other cases.

4.2 Initial vs. steady state and geometric vs. BET

Measurements of the effective uptake coefficients revealed the instantly fast uptake at the initial state and the gradual decline due to the saturation of surface reaction sites and loss of reactive substances (Hanisch and Crowley, 2003). The uptake at the initial state can be orders of magnitude faster than that at the steady state for aerosols (see Tables 1 and A1–A4). The timescale for reaching surface saturation/equilibrium is dependent on the reaction system. For a gas–aqueous particle surface, the timescale to establish equilibrium for the investigated species is less than 1 s (Seinfeld and Pandis, 2006, 554–557). For dust particles, it can take hours for complete saturation (Judeikis et al., 1978; Goodman et al., 2001). Fine particles with diameters < 10 µm have lifetimes of several days in the atmosphere (Prospero, 1999; Lee et al., 2009). Thus, using uptake coefficients at steady state maybe more representative in models, unless we can assume that the uptake process is not limited by surface accommodation and reactions (like HNO₃; Goodman et al., 2000), typically when the gas concentration is low enough that the surface passivation is negligible compared with the lifetime of aerosols in the atmosphere (Hanisch and Crowley, 2003). Gas uptake on fresh aerosols may reach or even surpass the level of the ground near emission sources. Using a uniform uptake coefficient in atmospheric models may not be enough to reflect the deactivation process of the multiphase gas uptake during aerosol aging, considering the large range of γ_eff values varying with time.

In addition, the γ_eff values are measured and reported based on the geometric surface and/or the BET surface. Differences of more than 3 orders of magnitude are derived depending on whether or not the pores within the microstructure of solid aerosol surface are considered (see Table A1). Using the same method to calculate the available surface area may reconcile these differences (Tang et al., 2017). In this study, γ_eff values with a revised BET surface are generally used as the lower limit, and those using the geometric surface are used as the upper limit. Whether or not the BET area is used as a correction in the calculation of γ_eff or not remains a discrepancy when applied in models (Hanisch and Crowley, 2001a, b; Underwood et al., 2001ab). This discrepancy from measurements may come from the differences in experimental samples (airborne particles vs. powder). To solve this issue, more studies on the reactive surface area for ambient aerosols are needed to guide the data processing and model parameterization.

4.3 Outlooks and limitations

We can conclude that the phase state is a crucial factor influencing the uptake rates. The uptake rates of O₃ and NO₂ in liquid organic aerosols are 1–3 orders of magnitude higher than on solid/semi-solid surfaces. In regions with high RH conditions and sufficient sources of organic compounds (e.g., the Amazon forest and southern China), the gas uptake is anticipated to have a considerable effect on concentrations. The effect is yet to be evaluated in combination with further model simulations.

Table 2Gas uptake processes that are potentially important compared with dry deposition across various environments (marked using a √).

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Measurement of uptake by ambient aerosols is crucial to reconcile laboratory experiments and modeling results, especially for gases that have undergone limited investigation (e.g., H₂O₂). Currently limited work has been undertaken to address the uptake of H₂O₂ by aerosol particles other than mineral dust (Liao and Seinfeld, 2005; Pradhan et al., 2010a, b; K. Wang et al., 2012; Zhou et al., 2016). Because ambient aerosol samples show a γ_eff value comparable to that of dust particles, we recommend similar γ_eff values of $1.0 \times 10^{- 5}$ – $9.4 \times 10^{- 4}$ for H₂O₂ uptake by other types of aerosol, which will lead to a larger sink in the atmospheric budget of H₂O₂.

Considering the complexity of multiple factors affecting the uptake rates, such as temperature, RH, gas concentration, aerosol pH and aerosol state (fresh or aged), establishing a look-up table for γ_eff based on the available factors mentioned above should be a feasible way to implement the gas uptake processes in atmospheric models (Mu et al., 2018).

There are limitations to the comparisons conducted in this study. We use a unified thermal velocity (300 m s⁻¹) for all gases, which will introduce positive biases of +4 % to +30 % for O₃, NO₂, SO₂, HNO₃ and H₂O₂, and a negative bias of −24 % for N₂O₅ in calculations of γ_eqv at the same temperature. The ambient parameters to calculate the dry deposition velocities (temperature and radiation) refer to the standard meteorological database for construction in northern China (Zhang, 2004), which may introduce uncertainties for analyses of other areas. In addition, the variability of aerosol surface area in each environment can also contribute to the variability of γ_eqv. We mainly focused on the uptake fluxes at room temperature (∼ 298 K). The gas uptakes at very low temperatures (e.g., in the polar region and stratosphere) are outside the scope of this study but should be further explored concerning its potentially large impact. The real ambient multiphase processes are much more complex than the laboratory measurements; nevertheless, they use airborne aerosols. Ambient online measurements of γ_eff will favor the model parameterization and improve our understanding of the multiphase processes within the PBL in the real world (Li et al., 2019). Moreover, more gaseous and aerosol species such as VOCs and bioaerosols should also be investigated (Zhou et al., 1996; Wagner et al., 2002; Fried et al., 2003; Beck et al., 2013; Li et al., 2014, 2016; Ouyang et al., 2016; Liu et al., 2017; Meusel et al., 2017).

5 Conclusions

In this work, we investigated the relative importance of gas uptake fluxes on the ground and aerosols for six reactive trace gases (O₃, NO₂, SO₂, N₂O₅, HNO₃ and H₂O₂), various environments, aerosol types and mixing heights. The purpose of the study was to identify the aerosol uptake process, which is equally or more important than dry deposition on ground surfaces but has not been adequately addressed in models.

For efficient comparison, we derived a criterion, γ_eqv, to identify the dominant surface with respect to gas uptake. For investigated gas species, γ_eqv values generally lie in the magnitude of 10⁻⁴, and can be extended to lower values in polluted areas and/or at low dry deposition velocities: γ_eqv values lie in the range of 10⁻⁶–10⁻⁴ in polluted urban environments and 10⁻⁴–10⁻¹ under pristine forest conditions. The effective uptake coefficient (γ_eff) values derived from experiments are reviewed and compared with γ_eqv. Notably, the gas uptake by aerosols is comparable and should be considered in models when γ_eff is equal to or higher than γ_eqv. In urban environments, aerosol uptake is important for all combinations of gases and aerosols, which is favored by the high particle surface densities. On the contrary, the contribution of aerosol uptake is minor compared with dry deposition for gases in the Amazon forest.

The aerosol uptake of the following gases can be as important as the dry deposition processes and should be considered in atmospheric models: N₂O₅ on all types of aerosols, HNO₃ and SO₂ on mineral dust and sea salt aerosols, H₂O₂ on mineral dust, NO₂ on sea salt aerosols, and O₃ on liquid organic aerosols (γ_eff≥γ_eqv, as shown in Table 2). The gas uptake on mineral dust for most gases and sea salt aerosols' uptake of SO₂ and NO₂ have already been parameterized in a series of models. The processes of H₂O₂ uptake on mineral dust and O₃ on liquid aerosols have unfortunately not received enough attention. For other combinations of gas species and aerosols, the ground tends to be the dominant surface rather than aerosols with respect to taking up trace gases within the PBL.

There are several indications from this work of processes that should be addressed in future measurements and model implementations:

a.
It is indicated that the multiphase processes for O₃ on liquid organic aerosols are underestimated in current atmospheric models. For regions with high RH conditions and the existence of organic aerosols in the liquid state such as southern China, the Amazon forest and South Africa, the multiphase uptakes of O₃ by aerosols are expected to contribute comparable sinking fluxes to dry deposition. Compared with the relatively low uptakes on (semi-) solid organic aerosols, we can conclude that the phase state is a crucial factor influencing the uptake rates.
b.
Large uncertainties should be addressed for the comparison results of SO₂ and NO₂. There are more than 3 orders of magnitude of variances in γ_eff for SO₂ on mineral dust and NO₂ on aqueous aerosols. Under low RH circumstances, dry deposition tends to dominate the gas uptake rather than aerosols. However, for cases under high RH condition, the contributions of aerosols should be cautiously determined with full consideration of the aerosol component, aerosol pH and so on.
c.
H₂O₂ uptake on a variety of aerosols needs to be measured and evaluated. It is shown that the H₂O₂ uptake on dust is comparable or even more important than that by the ground surface (γ_eff≥γ_eqv). Measurements using ambient aerosols suggest that the uptake on aerosols other than mineral dust should be of a similar magnitude.

Data availability

All parameters used to calculate V_d, the aerosol surface area densities (A) and the laboratory measurements of γ_eff were derived from peer-reviewed literature or publicly available databases (as illustrated in the main text).

Appendix A

Table A1Aerosol uptake coefficients (γ_eff) for reactive gases on mineral dust observed in laboratory experiments ( $T = 298 \pm 2$ K if not specified otherwise).

^a T=253–313 K; ^b T=268–320 K.

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Table A2Aerosol uptake coefficients (γ_eff) for reactive gases on soot observed in laboratory experiments ( $T = 298 \pm 2$ K if not specified otherwise).

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Table A3Aerosol uptake coefficients (γ_eff) for reactive gases on organic aerosols observed in laboratory experiments ( $T = 298 \pm 2$ K if not specified otherwise).

^a T= 272 K; ^b T= 219–298 K; ^c T= 293 K; ^d T= 272–298 K; ^e T= 283–298 K; ^f T= 278–308 K; ^g T= 293–297 K.

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Table A4Aerosol uptake coefficients (γ_eff) for reactive gases on sea salt aerosols observed in laboratory experiments ( $T = 298 \pm 2$ K if not specified otherwise).

^a T=235–299 K; ^b T=279 K; ^c T=262–278 K.

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Supplement

The supplement related to this article is available online at: https://doi.org/10.5194/acp-19-10981-2019-supplement.

Author contributions

HS and YC designed the research. ML performed the research with input from HS, YC and NM. UP and GL discussed the results. ML, HS and YC wrote the paper with input from all co-authors.

Competing interests

The authors declare that they have no conflict of interest.

Acknowledgements

We acknowledge the National Natural Science Foundation of China (grant no. 91644218), the National Key Research and Development Program of China (grant no 2017YFC0210104) and the Guangd ong Innovative and Entrepreneurial Research Team Program (grant no 2016ZT06N263). This work was supported by the Max Planck Society (MPG). Yafang Cheng also acknowledges the Minerva Program of the Max-Planck-Gesellschaft.

Financial support

This research has been supported by the National Natural Science Foundation of China (grant no. 91644218), the National Key Research and Development Program of China (grant no. 2017YFC0210104), the Guangdong Innovative and Entrepreneurial Research Team Program (grant no. 2016ZT06N263) and the Max-Planck-Gesellschaft (Minerva Program).

The article processing charges for this open-access
publication were covered by the Max Planck Society.

Review statement

This paper was edited by Andreas Hofzumahaus and reviewed by Mingjin Tang and one anonymous referee.

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Aerosols and the ground provide two kinds of surfaces for multiphase reactions in the planetary boundary layer. However, the relative importance of these two surfaces for gas uptake has not been quantified. We compare the uptake fluxes of aerosols and the ground surface for reactive trace gases under various conditions. More studies regarding O₃ uptake on liquid organic aerosols and H₂O₂ uptakes on various aerosols are needed considering their potential important roles in atmospheric chemistry.

Relative importance of gas uptake on aerosol and ground surfaces characterized by equivalent uptake coefficients

2.1 Ground gas uptake

2.2 Aerosol gas uptake and the effective uptake coefficient (γeff)

2.3 Uptake coefficient at equivalent flux (γeqv)

3.1 O3

3.2 NO2

3.3 SO2

3.4 N2O5, HNO3 and H2O2

4.1 Large variability of γeff for SO2 and NO2

4.2 Initial vs. steady state and geometric vs. BET

4.3 Outlooks and limitations

2.2 Aerosol gas uptake and the effective uptake coefficient (γ_eff)

2.3 Uptake coefficient at equivalent flux (γ_eqv)

3.1 O₃

3.2 NO₂

3.3 SO₂

3.4 N₂O₅, HNO₃ and H₂O₂

4.1 Large variability of γ_eff for SO₂ and NO₂