improved mechanistic model of the atmospheric redox
TRANSCRIPT
1
Improved mechanistic model of the atmospheric 1
redox chemistry of mercury 2 3 Viral Shah1*, Daniel J. Jacob1,2, Colin P. Thackray1, Xuan Wang3, Elsie M. Sunderland1,4, 4
Theodore S. Dibble5, Alfonso Saiz-Lopez6, Ivan Černušák7, Vladimir Kellö7, Pedro J. 5
Castro5, Rongrong Wu8, Chuji Wang8 6
7 1 Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA 8 2 Department of Earth and Planetary Sciences, Harvard University, Cambridge, MA, USA 9 3 School of Energy and Environment, City University of Hong Kong, Hong Kong SAR, China 10 4 Department of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, 11
USA 12 5 Department of Chemistry, State University of New York, College of Environmental Science and Forestry, Syracuse, 13
NY, USA 14 6 Department of Atmospheric Chemistry and Climate, Institute of Physical Chemistry Rocasolano, CSIC, Madrid, 15
Spain 16 7 Department of Physical and Theoretical Chemistry, Faculty of Natural Sciences, Comenius University in Bratislava, 17
Ilkovičova 6, 84215 Bratislava, Slovakia 18 8 Department of Physics and Astronomy, Mississippi State University, Starkville, MS, USA 19
20
Abstract 21
We present a new chemical mechanism for Hg0/HgI/HgII atmospheric cycling, including recent 22
laboratory and computational data, and implement it in the GEOS-Chem global atmospheric 23
chemistry model for comparison to observations. Our mechanism includes the oxidation of Hg0 24
by Br atoms and OH radicals, with subsequent oxidation of HgI by ozone and radicals, re-25
speciation of gaseous HgII in aerosols and cloud droplets, and speciated HgII photolysis in the gas 26
2
and aqueous phases. The tropospheric Hg lifetime against deposition in the model is 5.5 months, 27
consistent with observational constraints. The model reproduces the observed global surface Hg0 28
concentrations and HgII wet deposition fluxes. Hg0 is oxidized almost equally through Br and 29
OH. Ozone is the principal HgI oxidant, enabling the efficient oxidation of Hg0 to HgII by OH. 30
BrHgIIOH and HgII(OH)2 are the initial products, which re-speciate in aerosols/cloud and 31
volatilize to photostable forms. Reduction of HgII to Hg0 takes place largely through photolysis 32
of aqueous HgII-organic complexes. 71% of model HgII deposition is to the oceans. Major 33
uncertainties for atmospheric Hg chemistry modeling include the concentrations of Br atoms, the 34
stability and reactions of HgI, and the speciation of HgII in aerosols/cloud with implications for 35
photoreduction. 36
37
Keywords: mercury modeling, chemical mechanism, mercury oxidation, mercury 38
photoreduction, atmospheric lifetime, mercury deposition 39
40
Synopsis: Mercury spreads globally through the atmosphere and its atmospheric chemistry 41
determines where it deposits to the surface ecosystems. We present an improved and up-to-date 42
model of atmospheric mercury chemistry. 43
3
Introduction 44
Mercury (Hg) is an ecosystem pollutant transported globally through the atmosphere. It is 45
emitted in gaseous elemental state (Hg0) by natural and anthropogenic sources, and cycles in the 46
atmosphere with divalent (HgII) compounds that are highly water-soluble and deposit to 47
ecosystems. Recent theoretical calculations show fast gas-phase reduction of the major HgII 48
species thought to be produced in the atmosphere (Saiz-Lopez et al., 2018; Lam et al., 2019b; 49
Francés‐Monerris et al., 2020; Khiri et al., 2020), posing a challenge for atmospheric models to 50
reproduce the atmospheric Hg mass and lifetime inferred from observations (Saiz-Lopez et al., 51
2020). At the same time, new oxidation pathways to form HgII in the atmosphere have been 52
proposed (Dibble et al., 2020; Saiz-Lopez et al., 2020). Here we integrate these recent 53
developments into a new chemical mechanism for the GEOS-Chem global model (Selin et al., 54
2007; Horowitz et al., 2017) to shed new light on the redox cycling of atmospheric Hg. 55
56
Hg0 is emitted to the atmosphere by mining, fuel combustion, and volcanism, and by 57
volatilization of previously deposited Hg (Pirrone et al., 2010; Streets et al., 2019a). The Hg0 58
oxidation pathways and the speciation of HgII remain highly uncertain (Jaffe et al., 2014; Gustin 59
et al., 2015, 2021). The Br atom is considered to be a major Hg0 oxidant (Lindberg et al., 2002; 60
Holmes et al., 2006; Obrist et al., 2011; Gratz et al., 2015). The oxidation of Hg0 to HgII by Br 61
takes place in two steps, beginning with the formation of a BrHgI intermediate, which reacts 62
further to form HgII (Tossell, 2003; Goodsite et al., 2004, 2012). BrHgI has been thought to react 63
primarily with NO2 and HO2 (Dibble et al., 2012), but preliminary theoretical calculations by 64
Saiz-Lopez et al. (2020) show that BrHgI could also react rapidly with ozone and produce a 65
4
BrHgIIO radical, which can be stabilized to non-radical HgII forms by subsequent reactions (Lam 66
et al., 2019a, b; Khiri et al., 2020; Francés‐Monerris et al., 2020). 67
68
The oxidation of Hg0 by OH has been included in many models (Selin et al., 2007; Travnikov 69
and Ilyin, 2009; De Simone et al., 2014; Dastoor et al., 2015), but its atmospheric relevance has 70
been questioned because of the low stability of HOHgI (Goodsite et al., 2004; Calvert and 71
Lindberg, 2005). Dibble et al. (2020) recalculated the stability of HOHgI and found the OH-72
initiated oxidation pathway to be important only in polluted conditions with high NO2 73
concentrations. Oxidation reactions of Hg0 with ozone (Pal and Ariya, 2004b; Sumner et al., 74
2005) and by BrO (Raofie and Ariya, 2004) have been observed in the laboratory, but are not 75
expected to be atmospherically relevant because the putative product (HgIIO) is weakly bound in 76
the gas phase (Shepler and Peterson, 2003; Filatov and Cremer, 2004; Peterson et al., 2007). 77
78
Partitioning of gas-phase HgII species into aerosols and cloud droplets adds further complexity to 79
the problem. Atmospheric observations indicate that this partitioning is governed by 80
thermodynamic equilibrium (Amos et al., 2012). Once in the condensed phase, HgII may re-81
speciate as different inorganic and organic complexes that then partition back to the gas phase 82
(Lin and Pehkonen, 1999). Aqueous HgII-organic complexes photoreduce to Hg0 in the 83
atmosphere (Yang et al., 2019). 84
85
Although uncertainties in the Hg0/HgI/HgII atmospheric redox cycling remain large, we show 86
here that the most recent laboratory and computational data can be accommodated in a GEOS-87
Chem chemical mechanism that reproduces the main features of atmospheric observations and 88
5
thus provides a basis for predicting Hg deposition to ecosystems. Our work represents a major 89
revision to the previous GEOS-Chem mechanism described by Horowitz et al. (2017). 90
91
Materials and methods 92
Chemical mechanism 93
Table 1 lists the reactions in our chemical mechanism and Figure 1 shows the main reaction 94
pathways. Hg0 oxidation is initiated in the gas phase by the radicals Y ≡ Br, Cl, and OH, forming 95
weakly bound intermediates, YHgI, that further add another radical, Z, to form YHgIIZ: 96
97
Hg! + 𝑌 +M ↔ 𝑌Hg" +M R1 98
𝑌Hg" + 𝑍 + M → 𝑌Hg""𝑍 +M R2 99
100
The reaction of Hg0 with Br is exothermic and barrierless (Tossell, 2003; Goodsite et al., 2004; 101
Balabanov et al., 2005) and its kinetics have been experimentally measured (Ariya et al., 2002; 102
Donohoue et al., 2006). BrHgI has a low bond energy and dissociates thermally within minutes in 103
much of the atmosphere (Dibble et al., 2012; Goodsite et al., 2012), but its association reactions 104
with Z ≡ OH, Br, NO2, HO2, BrO, ClO are also barrierless and fast (Goodsite et al., 2004; Dibble 105
et al., 2012; Jiao and Dibble, 2017a). BrHgIIONO and BrHgIIOOH are thought to be the major 106
products due to the abundance of NO2 and HO2 (Dibble et al., 2012; Jiao and Dibble, 2017a, b). 107
BrHgI does not abstract hydrogen atoms and is inefficient in adding to C=C double bonds 108
(Dibble and Schwid, 2016). It undergoes displacement reactions with certain radicals (Z1≡ NO2 109
and Br) to return Hg0 (Balabanov et al., 2005; Jiao and Dibble, 2017a): 110
111
6
𝑌Hg" + 𝑍# → Hg! + 𝑌𝑍# R3 112
113
This chemistry has been included previously in the GEOS-Chem mechanism (Shah et al., 2016; 114
Horowitz et al., 2017) and other models (Wang et al., 2014; Travnikov et al., 2017; Ye et al., 115
2018). Here we update the rate coefficient for Reaction (R2) based on recent laboratory 116
measurement of the BrHgI + NO2 reaction (Wu et al., 2020). 117
118
The OH-initiated oxidation of Hg0 to HgII also proceeds by the (R1)-(R2) two-step mechanism, 119
and HOHgI is analogous to BrHgI in forming thermally stable HOHgIIZ (Z≡NO2, HO2, etc.) 120
species (Goodsite et al., 2004; Calvert and Lindberg, 2005; Dibble et al., 2020). The Hg0 + OH + 121
M ® HOHgI + M reaction is exothermic and fast (Sommar et al., 2001; Pal and Ariya, 2004a; 122
Hynes et al., 2009), but theoretical calculations by Goodsite et al. (2004) found HOHgI to be so 123
weakly bound that it would thermally decompose rather than further react to form HgII. As a 124
result, this pathway was not considered in past GEOS-Chem mechanisms (Holmes et al., 2010; 125
Horowitz et al., 2017). However, Dibble et al. (2020) found a much higher bond energy for 126
HOHgI and so we reconsider this pathway here. 127
128
Oxidation of Hg0 by Cl atoms is fast (Ariya et al., 2002; Donohoue et al., 2005) and ClHgI is 129
thermally stable, but tropospheric Cl concentrations are low. We include it in our mechanism 130
using GEOS-Chem Cl concentrations from Wang et al. (2021) but find that it accounts for less 131
than 1% of global tropospheric Hg0 conversion to HgII. Horowitz et al. (2017) included the 132
aqueous-phase oxidation of Hg0 by HOCl, OH, and ozone in cloud droplets but found them to be 133
negligible due to the low solubility of Hg0 and we do not include them in our mechanism. 134
7
135
Standard chemical mechanisms for atmospheric Hg, including Horowitz et al. (2017), do not 136
include gas-phase photoreduction of HgII. However, BrHgIIZ (Z≡ NO2, HO2, OH, BrO, ClO) 137
species have been found to rapidly photolyze at tropospheric wavelengths (Saiz-Lopez et al., 138
2018; Francés‐Monerris et al., 2020). The major HgII species, BrHgIIONO and BrHgIIOOH, 139
photolyze on a time scale of minutes (Saiz-Lopez et al., 2018; Lam et al., 2019b). YHgI (Y≡ Br, 140
Cl, OH) species also photo-dissociate rapidly to Hg0. 141
142
Saiz-Lopez et al. (2020) found that including HgI and HgII photolysis in their global model 143
greatly lowered the conversion rate of Hg0 to HgII and led to large overestimate of atmospheric 144
Hg0 concentrations. Their results implied a missing Hg oxidation pathway in current 145
mechanisms, and they suggested the oxidation of BrHgI by ozone: 146
147
BrHg" + O$ → BrHg""O + O% R4 148
149
Reaction (R4) is strongly exothermic (Shepler et al., 2007). Saiz-Lopez et al. (2020) found that it 150
is likely barrierless and produces the BrHgIIO radical. Using methods similar to theirs (density 151
functional theory), we also observe no barrier (Figure S1). However, reactions of ozone can pose 152
significant challenges for theory, so we used more advanced methods, including CASPT2 153
calculations (Figure S1), to confirm the absence of a barrier to reaction. Preliminary 154
experimental data indicate a high rate coefficient and are consistent with the absence of barrier 155
(Figure S2). We find that the analogous reaction of HOHgI with ozone also lacks a barrier and 156
has similar exothermicity to reaction (R4) (Figure S3), reflecting the similarity between BrHgI 157
8
and HOHgI (Dibble et al., 2020). Saiz-Lopez et al. (2020) estimated an upper limit for the rate 158
coefficient of 1×10-10 cm3 molec-1 s-1 for reaction (R4), assuming no steric effects. Here we 159
estimate a rate coefficient of 3×10-11 cm3 molec-1 s-1 for the reaction of YHgI with ozone (Y≡ Br, 160
OH, and Cl). 161
162
The BrHgIIO radical is also formed from the photolysis of certain BrHgIIZ species (Table 1b). Its 163
reactivity mimics that of OH, and it forms stable HgII species by abstracting H atoms from 164
methane and other volatile organic compounds, or by associating with NO and NO2 (Lam et al., 165
2019a, b). Formation of BrHgIIOH by oxidation of methane dominates globally in the kinetics of 166
Lam et al. (2019a, b). Khiri et al. (2020) found that BrHgIIO can also be reduced to BrHgI by CO 167
and the computed reaction rate is fast enough to compete with methane. BrHgIIO photolysis in 168
the troposphere is relatively slow (Francés‐Monerris et al., 2020). Thus, we include the following 169
reactions in our mechanism: 170
171
𝑌Hg" + O$ → 𝑌Hg""O + O% R5 172
𝑌Hg""O + CH& → 𝑌Hg""OH + CH$ R6 173
𝑌Hg""O + CO → 𝑌Hg" + CO% R7 174
175
HgII species are absorbed by aqueous aerosol particles and cloud droplets and dissociate to Hg2+ 176
ions, which re-partition to form inorganic and organic complexes (Lin and Pehkonen, 1999). We 177
refer to total particulate mercury as HgIIP. HgIICl2, HgIICl3-, and HgIICl42- are expected to be the 178
dominant inorganic HgII species in the troposphere because of the abundance of Cl- (Lin and 179
Pehkonen, 1998; Hedgecock and Pirrone, 2001). HgII-organic complexes may also form, 180
9
involving in particular the carboxyl and thiol functional groups (Haitzer et al., 2002; 181
Ravichandran, 2004). In stratospheric sulfuric acid aerosols, HgII likely remains in free ionic 182
form because of the low stability of the HgII-sulfate complex. While the thermodynamics of the 183
HgII-chloride complexes are known (Lin and Pehkonen, 1999), there is little information on the 184
HgII-organic complexes in atmospheric waters. We choose to represent the inorganic and organic 185
complexes by two species – HgIIP(inorg) and HgIIP(org) – and partition the dissolved HgII into 186
these two complexes based on the local relative mass fractions of inorganic and organic aerosol 187
material (Table 1c). Volatilization of HgII from aerosols is as a parameterized species, HgIIX, 188
assumed to be stable against photolysis. HgIIX is modeled after HgIICl2, which does not 189
photolyze at tropospheric wavelengths (Saiz-Lopez et al., 2020). 190
191
Photoreduction of HgII to Hg0 has long been known to occur in atmospheric waters (Munthe and 192
McElroy, 1992). It was initially thought to involve sulfite ions (Munthe et al., 1991) or HO2 193
(Pehkonen and Lin, 1998) as reductants, but it most likely takes place through the direct light 194
absorption by HgII-organic complexes followed by transfer of two electrons from the ligand to 195
Hg (Gårdfeldt and Jonsson, 2003; Si and Ariya, 2008). HgII photoreduction is known to involve 196
HgII-organic complexes in aquatic systems (Amyot et al., 1994; O’Driscoll et al., 2004; Whalin 197
et al., 2007). Aqueous HgII photoreduction frequencies of 0.02–0.2 h-1 have been measured in 198
summertime rainwater samples (Saiz-Lopez et al., 2018), consistent with photoreduction 199
frequencies of HgII-fulvic acid complexes (Yang et al., 2019), but lower than 0.2–3 h-1 observed 200
in fresh and marine waters (Qureshi et al., 2011). In our mechanism, we assume that the 201
photoreduction frequency of HgIIP(org) scales as the local NO2 photolysis frequency (JNO2) and 202
adjust the scaling factor (β in Table 1b) to fit observed atmospheric Hg0 concentrations, 203
10
following Holmes et al. (2010). We obtain a scaling factor β = 4×10-3, corresponding to a 204
tropospheric mean HgIIP(org) photoreduction frequency of 0.13 h-1 in clear sky at noon in 205
summer at 45ºN. 206
207
GEOS-Chem model 208
We implement the chemical mechanism of Table 1 in the global 3-D GEOS-Chem model 209
(www.geos-chem.org; version 12.9.0). The current standard version of the model for Hg is 210
described by Horowitz et al. (2017) and includes dynamic coupling between the atmosphere and 211
surface reservoirs. Here we are focus on the atmospheric reservoir and therefore use gridded land 212
and ocean surface Hg concentrations from Horowitz et al. (2017) as boundary conditions. Other 213
Hg emissions (Figure 1) are also from Horowitz et al. (2017) except that anthropogenic Hg 214
emissions are from Streets et al. (2019b). Total Hg emission in the model is 8.7 Gg a-1, of which 215
0.8 Gg a-1 is HgII and emitted as HgIIX (Figure 1). 216
217
We drive our simulation with assimilated meteorological fields from the NASA Modern-Era 218
Retrospective analysis for Research and Applications, version 2 (MERRA-2) system (Gelaro et 219
al., 2017). We conduct a three-year global simulation (2013–2015) at 4° latitude by 5° longitude 220
resolution following a spin-up period of 15 years to equilibrate the stratosphere. The chemical 221
mechanism is implemented using the Kinetic PreProcessor (KPP; Damian et al., 2002) 222
customized for GEOS-Chem, and the chemical evolution is computed every hour on the model 223
grid. 224
225
11
GEOS-Chem in its ‘full-chemistry’ implementation includes a comprehensive representation of 226
oxidant-aerosol chemistry in the troposphere and stratosphere (Eastham et al., 2014; Wang et al., 227
2019; Hammer et al., 2020; Pai et al., 2020). Aerosol components include sulfate, nitrate, organic 228
aerosol, black carbon, sea salt (two size classes), and dust (four size classes). For computational 229
efficiency, the Hg simulation in GEOS-Chem uses monthly oxidant and aerosol concentrations 230
archived from that full-chemistry simulation. Horowitz et al. (2017) used Br concentration fields 231
from Schmidt et al. (2016) but these are now thought to be too high (Chen et al., 2017) and do 232
not include the known source of bromine radicals from debromination of sea salt aerosols (SSA) 233
(Zhu et al., 2019). Here we use updated oxidant and aerosol fields from GEOS-Chem version 234
12.9 as documented by Wang et al. (2021). This features major updates to the bromine 235
simulation of Schmidt et al. (2016), including mechanistic SSA debromination and less efficient 236
heterogeneous recycling of bromine radicals. The tropospheric mean Br and BrO concentrations 237
are 0.03 and 0.19 pptv, respectively, compared to 0.08 and 0.48 pptv in Schmidt et al. (2016). 238
The distributions of Br and BrO are shifted more to the marine boundary layer (MBL) because of 239
SSA debromination (Figure S4). As pointed out by Wang et al. (2021), available atmospheric 240
observations for BrO offer limited guidance for evaluating the model. Therefore, we also 241
conduct a sensitivity simulation replacing the Br and BrO fields with those from Schmidt et al. 242
(2016). We apply a diurnal scaling to the monthly mean oxidant concentrations using the Y–243
YO–O3–NO (Y≡Br, Cl) photochemical equilibrium for the daytime concentrations of Br, BrO, 244
Cl, ClO following Holmes et al. (2010); a cosine function of the solar zenith angle for daytime 245
OH and HO2; and NO–NO2–O3 photochemical equilibrium for NO2. Br and BrO concentrations 246
in the polar springtime boundary layer are calculated following Fisher et al. (2012). 247
248
12
We treat the transfer of HgII between the gas phase and the aerosol/cloud phase as a kinetic 249
process. Individual gas-phase species Hg'"" are taken up by aerosols and cloud droplets where 250
they are re-speciated to the HgIIP(org) and HgIIP(inorg) forms, and then volatilized (for aerosols) 251
as the HgIIX form. The rate of uptake and volatilization of HgII gaseous species is calculated as 252
(Schwartz, 1986; Jacob, 2000): 253
254
− ()*+!""(+).(/
= 𝑘0/2Hg'""(g)5 (1) 255
()*+""1(+).(/
= 𝑘0/[Hg""(g)]23 , (2) 256
257
where 2Hg'""(g)5 is the number density of Hg'""(g), 𝑘0/ is the mass transfer rate coefficient (s-1), 258
and [Hg""(g)]23 is calculated on the basis of equilibrium between total HgII in the gas and aerosol 259
phases using the empirical equilibrium constant of Amos et al. (2012) as a function of local 260
temperature and mass concentration of fine particulate matter. For cloud droplets, we assume no 261
mass transfer back to the gas phase because of the high solubility of HgII. Uptake on coarse-262
mode SSA follows Holmes et al. (2010). 𝑘0/ for aerosols is calculated as: 263
264
𝑘0/ = ∑ 𝑆4 :5#6$+ &
78;9#
4 , (3) 265
266
where 𝑟4 and 𝑆4 are the effective mean area-weighted radius and surface area per unit volume of 267
air of each aerosol component (j), 𝐷: is the gas-phase molecular diffusion coefficient of HgII gas, 268
𝜈 is the mean molecular speed of HgII gas, and 𝛼 is the mass accommodation coefficient. We 269
take 𝛼 = 0.1 for all HgII gas species in the model since 𝛼 for other highly soluble species 270
13
generally has values of 0.1–0.3 (Davidovits et al., 2006). 𝑘0/ for cloud droplets is calculated 271
similarly but also accounts for entrainment limitation in partly cloudy grid cells (Holmes et al., 272
2019). 273
274
Results and discussion 275
Global atmospheric Hg budget 276
Figure 1 shows the model Hg budget in the lower atmosphere (troposphere) and the major 277
pathways for Hg0/ HgI/HgII redox cycling. The tropospheric mass of Hg is 4 Gg (3.9 Gg as Hg0 278
and 0.1 Gg as HgII). The stratosphere contains an additional 0.8 Gg (not shown in Fig. 1). The 279
tropospheric lifetime of total Hg (Hg0+HgI+HgII) against deposition is 5.5 months. The simulated 280
Hg mass and lifetime are within observationally constrained values of ~4 Gg for the tropospheric 281
Hg mass and 4–7 months for the Hg lifetime (Holmes et al., 2010; De Simone et al., 2014; 282
Horowitz et al., 2017; Saiz-Lopez et al., 2020). The previous GEOS-Chem simulation (Horowitz 283
et al., 2017) had a tropospheric mass of Hg of 3.9 Gg and a lifetime against deposition of 5.2 284
months, similar to ours, but four times as much HgII (0.4 Gg) because of production at higher 285
altitudes (longer lifetime against deposition) and slower photoreduction. 286
287
We find that oxidation of Hg0 to HgI takes place by Br and OH at similar rates. Ozone is the 288
primary oxidant of HgI to HgII as it is far more abundant than NO2 and HO2, which were the 289
main HgI oxidants in previous mechanisms (Horowitz et al., 2017; Saiz-Lopez et al., 2018, 290
2020). Photolysis and thermal decomposition of BrHgI are much slower than its reaction with 291
ozone, so the main fate of BrHgI is oxidation to BrHgIIOH, via BrHgIIO. Although HOHgI is less 292
stable than BrHgI and a smaller fraction of it is converted to HgII, the OH-initiated pathway still 293
14
accounts for one-third of the global HgII production. The chemical lifetime of Hg0 against 294
oxidation to HgII in our model is 4.5 months, compared to 2.7 months in Horowitz et al. (2017) 295
and about 13 months in Saiz-Lopez et al. (2018). Using higher free tropospheric Br 296
concentrations from Schmidt et al. (2016) lowers the tropospheric Hg mass by about 10% due to 297
increased partitioning to HgII and hence faster deposition. Br then contributes 75% of Hg0 298
oxidation (Figure S4). 299
300
Figure 2 shows the zonal distribution of the Hg0 oxidation rate in our standard simulation. Gross 301
oxidation of Hg0 to HgII is fastest in the MBL and in the upper troposphere and largely reflects 302
the Br distribution. Br concentrations are highest near the tropical tropopause due to fast 303
photolysis of BrO and low ozone and temperature (Fernandez et al., 2014; Saiz‐Lopez and 304
Fernandez, 2016). The OH-initiated oxidation pathway contributes most to Hg0 oxidation in the 305
tropical free troposphere, as dissociation of HOHgI is fast at lower altitudes (Dibble et al., 2020). 306
It also dominates in the continental boundary layer, consistent with Gabay et al. (2020), because 307
Br concentrations are low there. 308
309
BrHgIIOH and HgII(OH)2 are the main HgII species initially formed from Hg0 oxidation, but the 310
HgII speciation evolves as these species are processed by aerosol and cloud droplets to form 311
HgIIP particles and HgIIX gas. We find that HgIIX is the most abundant form of HgII in the 312
troposphere, comprising 49% of HgII mass, while HgIIP comprises 22%. The remaining HgII 313
mass is mostly composed of HgII(OH)2, which is more abundant than BrHgIIOH because it does 314
not photolyze. Most of the reduction of HgII to Hg0 is through the aqueous-phase photolysis of 315
HgIIP(org). The photoreduction rate increases with altitude because of stronger UV radiation and 316
15
the higher HgII particle fraction at lower temperatures, and it is faster in the northern hemisphere 317
because of the higher fraction of OA. HgIIP is stable against photoreduction in the stratosphere as 318
it is assumed to be present as free Hg2+. 319
320
The net rate of oxidation of Hg0 to HgII, accounting for HgII reduction, is 43% of the gross Hg0 321
oxidation rate. Net Hg0 oxidation is fastest in the MBL where HgII photoreduction is slower than 322
deposition. Horowitz et al. (2017) found little net oxidation in the lower troposphere because 323
their simulation had little Br in the MBL and did not include the HgI + O3 reaction. They had 324
maximum production in the tropical upper troposphere, but here this is largely canceled by 325
photoreduction and we find areas of net reduction as the HgII-rich tropical upper tropospheric air 326
is transported poleward by the Hadley circulation. Globally, we find that about half of the net 327
oxidation of Hg0 to HgII takes place through the OH-initiated pathway, compared to one-third for 328
gross oxidation, because of the stability of HgII(OH)2 against photolysis. 329
330
Our results differ substantially from the global model simulation of Saiz-Lopez et al. (2020). 331
They found that including the photolysis of HgI and HgII species increased the Hg lifetime to 20 332
months and the tropospheric Hg mass to 7.9 Gg, twice higher than inferred from atmospheric 333
observations. Including the BrHgI+O3 reaction lowered the tropospheric Hg lifetime to 15 334
months, which is still too high. The Hg lifetime in their model would have been even longer had 335
they included the recent findings on the reduction of BrHgIIO by CO (Khiri et al., 2020) and the 336
slower BrHgI+NO2 rate coefficient (Wu et al., 2020). The main reasons why we achieve a shorter 337
Hg lifetime are because we include the HOHgI+O3 reaction, which accounts for half of the net 338
16
chemical loss of Hg0 in our model, and the re-speciation of photolabile HgII species in aerosols 339
and cloud droplets to form the photostable HgIIX gaseous species. 340
341
Spatial distribution of Hg concentrations and deposition 342
Figure 3 shows the modeled zonal distributions of Hg0 and HgII and compares modeled and 343
observed Hg0 concentrations at the surface. There is little variation in Hg0 concentrations with 344
altitude in the troposphere, both in the model and in aircraft measurements (Talbot et al., 2008; 345
Mao et al., 2010; Slemr et al., 2018), consistent with the long lifetime of Hg0. Modeled Hg0 346
concentrations decrease by ~50 ppq within a height of 3 km above the tropopause, which is 347
somewhat lower than the decrease (~70 ppq) observed from aircraft (Slemr et al., 2018), This 348
could reflect excessive mixing across the tropopause in the 4º×5º version of the model 349
(Stanevich et al., 2020). The model captures the observed spatial patterns in surface Hg0 350
concentrations (r = 0.86), which are driven by anthropogenic emissions and the interhemispheric 351
gradient, but it underestimates the observed variability. The model overestimates the observed 352
Hg0 concentrations in the southern hemisphere by about 20 ppq but this could reflect uncertainty 353
in ocean Hg0 emissions (Horowitz et al., 2017). 354
355
HgII concentrations increase with altitude in the troposphere – from 1 ppq near the surface to 15 356
ppq at the tropopause – reflecting the sink from deposition. Concentrations are highest in the 357
subtropics due to subsidence of HgII produced in the tropical upper troposphere (Selin and Jacob, 358
2008; Shah and Jaeglé, 2017). This pattern is consistent with aircraft HgII observations over the 359
US (Gratz et al., 2015; Shah et al., 2016), but the model does not reproduce the observed 360
concentrations (~25 ppq at 6 km altitude), even with the higher Br concentrations from Schmidt 361
17
et al. (2016). We find that the free tropospheric HgII concentrations in the model depend strongly 362
on the representation of aqueous photoreduction. We conducted a simulation in which aqueous 363
HgII photoreduction was limited to liquid cloud droplets and HgIIP(org) formation on aerosol 364
particles was excluded, similar to Saiz-Lopez et al. (2018, 2020), and found a doubling of HgII 365
concentrations in the free troposphere, but the cloud HgIIP(org) photoreduction frequency 366
required to maintain the Hg lifetime was much higher and inconsistent with the rainwater 367
observations of Saiz-Lopez et al. (2018). 368
369
Figure 4 shows the observed and modeled HgII wet deposition flux and the modeled total (wet + 370
dry) HgII deposition flux. The mean Hg wet deposition flux for the global ensemble of sites is 371
25% lower in our model than in the observations. The model shows maximum wet deposition 372
flux over eastern China because of high anthropogenic HgII emissions, but this is not seen in 373
observations, suggesting that China’s HgII emissions may be overestimated due to insufficient 374
accounting of recent emission controls (Liu et al., 2019). The wet deposition flux over China in 375
Horowitz et al. (2017) was much smaller because of fast OA-dependent aqueous-phase HgII 376
photoreduction in their simulation. Our simulation captures the observed spatial variation in HgII 377
wet deposition flux over the continental US and Canada, showing a regional maximum over the 378
Southeast US, although it underestimates the magnitude, reflecting the underestimate of HgII in 379
the free troposphere. This Southeast US maximum is known to result from deep convective 380
scavenging of HgII-rich air (Guentzel et al., 2001; Zhang et al., 2012; Holmes et al., 2016). 381
382
The global HgII wet deposition flux in our standard simulation is 2.6 Gg a-1 and the total (wet + 383
dry) HgII deposition flux is 5.5 Gg a-1. Another 1.2 Gg a-1 is dry deposited to land as Hg0. We 384
18
find that 71% of HgII deposition takes place over the oceans, where it is the main source of Hg 385
for the marine biosphere (Sunderland and Mason, 2007; Mason et al., 2012), and is 15% higher 386
in the northern than in the southern hemisphere. Horowitz et al. (2017) found a higher fraction 387
(82%) of HgII deposition over the oceans because of fast HgII reduction over land due to high 388
OA. Holmes et al. (2010) found that 72% of the HgII deposition takes place over the oceans, but 389
with a higher flux in the southern hemisphere than in the northern hemisphere, reflecting the Br 390
distribution in their simulation. HgII deposition over land in our simulation is concentrated 391
largely in HgII emission hotspots over China, India, and South Africa. Outside of these hotspots, 392
Hg0 dry deposition is the major route for Hg deposition over land. 393
394
Uncertainties in atmospheric Hg redox chemistry 395
We have aimed to provide a mechanistic representation of Hg redox cycling in the atmosphere 396
that reflects current chemical knowledge and matches the major features of the observed 397
atmospheric Hg concentrations and fluxes. This involved a number of assumptions and here we 398
examine the most consequential. 399
400
An important uncertainty is the oxidation rate of Hg0 by Br, reflecting both the reaction rate 401
coefficient and the Br concentrations. Laboratory determinations of the Hg0+Br rate coefficient 402
vary from 3.6×10-13 to 3.2×10-12 cm3 molec-1 s-1 (at 298K, 1 atm) (Ariya et al., 2002; Donohoue 403
et al., 2006; Sun et al., 2016). We use the rate coefficient from Donohoue et al. (2006), which is 404
at the low end, because their measurements are least affected by wall reactions and were made 405
over a range of pressures and temperatures. Using a higher value would require slower 406
conversion of BrHgI to HgII, faster HgII reduction, and/or lower Br concentrations to maintain the 407
19
Hg lifetime in the model. The BrHgI®HgII rate can be slowed by lowering the BrHgI+O3 and 408
increasing the BrHgIO+CO rate coefficients, and while the changes needed are substantial (factor 409
of 10) since the competing BrHgI®Hg0 reactions are currently negligible, they would be within 410
the uncertainties of the theoretically derived rate coefficients (Ariya and Peterson, 2005). The 411
HgII reduction rates could be increased be a faster aqueous HgII photoreduction rate, which 412
currently has limited experimental constraints (Saiz-Lopez et al., 2018; Yang et al., 2019). Faster 413
Hg0+Br kinetics could be offset by lower Br concentrations, but the concentrations used here are 414
at the low end of current models as discussed by Wang et al. (2019, 2021). 415
416
The atmospheric OH concentrations are well known (Holmes et al., 2013) and the Hg0+OH rate 417
coefficient agrees between two independent laboratory studies (Sommar et al., 2001; Pal and 418
Ariya, 2004a), although the pressure and temperature dependences of the rate coefficient need to 419
be further investigated. There are larger uncertainties in the HOHgI+M, HOHgI+O3, 420
HOHgIIO+CO, and HOHgIIO+CH4 reactions that control the branching between HOHgI®Hg0 421
and HOHgI®HgII(OH)2. The HOHgI+M rate coefficient strongly depends on the HO–HgI bond 422
strength, which has not been determined experimentally (Dibble et al., 2020). A moderate 423
change in this rate coefficient could be balanced by proportional changes in the rate coefficients 424
of the other three reactions. Slower dissociation of HOHgI (stronger bond) would increase net 425
Hg0 oxidation in the subtropical free troposphere and help improve the simulation of the 426
observed Hg wet deposition flux maximum over the Southeast US. 427
428
An important part of our mechanism is the photoreduction of HgII to Hg0 in aerosols and cloud 429
droplets, but there is little data to constrain the photoreduction rates. This needs better 430
20
characterization over a range of atmospheric conditions and including identification of the photo-431
reducing species. Dissolved organic carbon is known to be critical for HgII photoreduction in 432
aquatic systems, but the effect of organic ligands on aqueous HgII in the atmosphere has 433
generally been ignored. A better understanding of particulate and cloud HgII speciation, and the 434
implications for photoreduction, would greatly advance our modeling capability. 435
21
Table 1a. GEOS-Chem Hg chemical mechanism: bimolecular and three-body reactions 436
Reaction Rate coefficients a References b
Hg0 + Br + M ® BrHgI + M k0 = 1.46 × 10-32 (T/298)-1.86 (1)
BrHgI + M ® Hg0 + Br + M k0/Keq; Keq = 9.14 × 10-24 exp(7801/T) (2)
Hg0 + OH + M ® HOHgI + M k0 = 3.34 × 10-33 exp(43/T) (3) c
HOHgI + M ® Hg0 + OH + M k0/Keq; Keq = 2.74 × 10-24 exp(5770/T) (4)
Hg0 + Cl + M ® ClHgI + M k0 = 2.25 × 10-33 exp(680/T) (5)
YHgI + O3 ® YHgIIO + O2
(Y ≡Br, OH, Cl) 3.0 × 10-11 (6) d, e
YHgIIO + CH4 ® YHgIIOH + CH3 (Y≡Br, OH, Cl)
4.1 × 10-12 exp(-856/T) (7) e
YHgIIO + CO ® YHgI + CO2 (Y≡Br, OH, Cl) 6.0 × 10-11 exp(-550/T) (8) e, f
YHgI + NO2 + M ® YHgIIONO + M (Y≡Br, OH, Cl)
k0 = 4.3 × 10-30 (T/298)-5.9 k∞ = 1.2 × 10-10 (T/298)-1.9 (9, 10) e
YHgI + Z + M ® YHgIIZ + M (Y ≡Br, OH, Cl; Z ≡HO2, BrO, ClO)
k0 = 4.3 × 10-30 (T/298)-5.9 k∞ = 6.9 × 10-11 (T/298)-2.4 (9, 10) e, g
YHgI + Z (+ M)® YHgIIZ (+ M) (Y≡Br, OH, Cl; Z≡Br, Cl, OH) 3.0 × 10-11 (11) e, h
YHgI + NO2 ® Hg0 + YNO2
(Y≡Br, Cl) 3.0 × 10-12 (9) e
BrHgI + Br ® Hg0 + Br2 3.9 × 10-11 (11)
ClHgI + Cl ® Hg0 + Cl2 1.2 × 10-11 exp(-5942/T) (12)
437
a. The rate coefficients have units of cm3 molec-1 s-1 for bimolecular reactions and cm6 molec-2 s-1 for k0 of 438 three-body reactions. The second-order rate coefficient for three-body reactions is calculated as: 𝑘([𝑀]) =439 ) %!['])*%!['] %"⁄ * 0.6,, where [M] is the number density of air molecules and 𝑝 = (1 +440 (log)-(𝑘-[𝑀] 𝑘.⁄ ))/)0). Only k0 is given when the low-pressure limit dominates in the atmosphere and 441 the second-order rate coefficient is then calculated as 𝑘-[𝑀]. For thermal dissociation reactions, the rate 442 coefficient is calculated as k = k0/Keq where k0 is the rate coefficient of the forward (association) reaction 443 given in the preceding entry and Keq is the equilibrium constant in units of cm3 molec-1. T is absolute 444 temperature in K. 445 446
b. (1) Donohoue et al. (2006); (2) Dibble et al. (2012); (3) Pal and Ariya (2004a); (4) Dibble et al. (2020); (5) 447 Donohoue et al. (2005); (6) Saiz-Lopez et al. (2020); (7) Lam et al. (2019b); (8) Khiri et al. (2020); (9) Wu 448 et al. (2020); (10) Jiao & Dibble (2017a); (11) Balabanov et al. (2005); (12) Wilcox (2009). 449 450
c. The rate coefficient was calculated by Dibble et al. (2020) from the experimental results of Pal and Ariya 451 (2004a). 452 453
22
d. Saiz-Lopez et al. (2020) estimated an upper limit for the rate coefficient of 1.0 × 10-10 cm3 molec-1 s-1, 454 assuming no steric effects. 455
456 e. We assume that the BrHgI + Z rate coefficients hold for HOHgI + Z and ClHgI + Z because of the similar 457
bond energies and reactions pathways for the three species (Dibble et al., 2012, 2020) and that the 458 BrHgIIO+Z rate coefficients hold for HOHgIIO+Z and ClHgIIO+Z. 459
460 f. Khiri et al. (2020) calculated the range for the rate coefficient of the BrHgIIO+CO®BrHgI+CO2 reaction at 461
two temperatures: (9.4–52)×10-12 at 298K and (3.8–29)×10-12 at 220K. We use the mean values at each 462 temperature to determine the temperature-dependent rate coefficient. 463
464 g. We assume that the experimentally determined value of k0 for the BrHgI + NO2 reaction (Wu et al., 2020) 465
holds for this set of reactions too. 466 467
h. These reactions take place at the high-pressure limit in the atmosphere. 468
23
Table 1b. GEOS-Chem Hg chemical mechanism: photolysis reactions a 469
Reaction f J (s-1) b References c BrHgI + hn ® Hg0 + Br 1.0 4.3×10-2 (1)
HOHgI + hn ® Hg0 + OH 1.0 1.6×10-2 (1)
YHgIIOH + hn ® Hg0 + Y + OH ® HOHgI + Y ® YHgI + OH ® YHgIIO + H (Y≡Br, Cl)
0.49 0.35 0.15 0.01
1.3×10-5
(2, 3, 4) d
YHgIIONO + hn ® YHgIIO + NO ® YHgI + NO2 (Y ≡Br, Cl, OH)
0.90 0.10
1.1×10-3 (2, 3, 4, 5) d,e
YHgIIOOH + hn ® Hg0 + Y + HO2 ® YHgIIO + OH ® YHgI + HO2 (Y ≡ Br, Cl, OH)
0.66 0.31 0.03
1.5×10-2 (2, 3, 4) d,e
YHgIIOBr + hn ® YHgI + BrO (Y≡ Br, OH, Cl)
1.0 f 2.4×10-2 (2) e
YHgIIOCl + hn ® YHgI + ClO (Y ≡Br, OH, Cl)
1.0 f 1.4×10-2 (2) e
HgIIBr2 + hn ® BrHgI + Br ® Hg0 + 2Br
0.60 0.40
1.2×10-6 (2, 4) d
HgIIP(org) + hn ® Hg0 1.0 1.9×10-5 this work g
470
a. Photolysis frequencies are calculated using Fast-JX v7.0a (Wild and Prather, 2000) implemented in GEOS-471 Chem by Eastham et al. (2014). f represents the branching fractions for the dissociation channels. 472 HgII(OH)2 and HgIICl2 are not shown in the table because they do not photolyze at tropospheric 473 wavelengths (Strömberg et al., 1989; Saiz-Lopez et al., 2018). 474 475
b. Global annual mean tropospheric photolysis frequencies in GEOS-Chem. 476 477
c. (1) Saiz-Lopez et al. (2019); (2) Saiz-Lopez et al. (2018); (3) Francés‐Monerris et al. (2020); (4) Saiz-478 Lopez et al. (2020); (5) Lam et al. (2019b) 479
480 d. Photolysis cross-sections are from Saiz-Lopez et al. (2020) and branching fractions from Francés‐Monerris 481
et al. (2020) and Saiz-Lopez et al. (2020). 482 483
e. Photolysis cross-sections of the HOHgIIZ and ClHgIIZ (Z=NO2, HO2, BrO, and ClO) species are assumed 484 to be equal to those of BrHgIZ. 485
486 f. Sole photolysis pathway considered in Saiz-Lopez et al. (2018). 487
488 g. The photolysis frequency of this reaction is parameterized as JHgIIP(org) =b JNO2, where JNO2 is the local 489
photolysis frequency of NO2 and the scaling factor b is adjusted to match the global mean Hg0 surface 490
24
observations. For our standard simulation we use β = 4×10-3, and for the simulation with the Schmidt et al. 491 (2016) Br fields we use β = 4×10-2. 492
25
Table 1c. GEOS-Chem Hg chemical mechanism: multiphase processes 493
Reactiona Notes
HgII (g) 23456576,975:;65⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯7 HgIIP b
HgIIP 234565765⎯⎯⎯⎯⎯⎯⎯7 HgIIX (g) c
HgIIP≡ 8HgIIP(org)+HgIIP(inorg)(troposphere)
Hg2+(stratosphere) d
494 a. HgII (g) and HgIIP represent all gas- and particle-phase HgII species; HgIIX (g) represents the unspeciated 495
HgII gas volatilizing from HgIIP. 496 497
b. Uptake rate is given by Eq (1). For clouds the HgII (g) uptake rate accounts for entrainment limitation in 498 partly cloudy grid cells (Holmes et al., 2019). 499
500 c. For tropospheric aerosols only. We assume irreversible uptake in cloud droplets and stratospheric aerosols. 501
The volatilization rate is given by Eq (2) with equilibrium constant between HgII(g) and HgIIP from Amos 502 et al. (2012). 503
504 d. HgIIP in the tropospheric aerosol speciates as HgIIP(org) and HgIIP(inorg) representing HgII-organic and 505
HgII-inorganic complexes. Their concentrations are calculated as >HgIIP(org)? = fOA>HgIIP? and 506
>HgIIP(inorg)? = (1 − 𝑓?@)>HgIIP?, where 𝑓AB is the local mass fraction of organic aerosols computed 507 as𝑓?@ =
C#$C#$*C%&$*C%%$
, with 𝑚?@, 𝑚DE@, and 𝑚DD@ as the mass concentrations of organic aerosols, 508 sulfate-nitrate-ammonium aerosols, and accumulation mode sea-salt aerosols. 509
510 511
26
512 Figure 1. Global tropospheric Hg budget and main Hg redox pathways in our simulation 513 for 2013–2015. The Hg masses and rates are global annual means given in units of Gg and 514 Gg a-1 respectively. The main HgII species in the model and their percent contributions to 515 the total tropospheric HgII mass are listed. HgIIP denotes particulate HgII, which includes 516 HgII-organic complexes (HgIIP(org)), and HgII-inorganic complexes (HgIIP(inorg)). HgIIX 517 denotes the gas-phase HgII species that volatilize from HgIIP and is modeled as HgCl2. 518 Oxidation of Hg0 by Cl atoms is not shown because it accounts only for <1% of the Hg0 519 chemical sink in the troposphere. 520
27
521 Figure 2. Annual (2013–2015) zonal mean gross and net Hg0 oxidation rates in GEOS-522 Chem. The contour lines show the percent contribution of the OH-initiated Hg0 oxidation 523 pathway. The dashed line denotes the annual-mean tropopause. 524
28
525 Figure 3. Annual mean (2013–2015) concentrations of Hg0 and HgII in GEOS-Chem. The 526 top panels are zonal mean concentrations as a function of pressure and latitude. The 527 dashed lines indicate the annual mean tropopause. The bottom panel compares the 528 modeled surface Hg0 concentrations with observations (filled circles and triangles) from the 529 compilations of Travnikov et al. (2017) (courtesy of Hélène Angot) and AMAP/UNEP 530 (2019). Filled triangles represent high altitude sites. We only include observations made 531 between 2010 and 2015. The mean ± standard deviation of the observed concentrations is 532 inset in the bottom panel along with the corresponding model values sampled at the site 533 locations. The color scales are different for each panel. 534
29
535 Figure 4. Annual mean (2013–2015) HgII deposition fluxes in GEOS-Chem. The top panels 536 show HgII wet deposition fluxes overlaid by observations (filled circles and triangles) 537 compiled by Travnikov et al. (2017) (courtesy of Hélène Angot), Sprovieri et al. (2017), 538 AMAP/UNEP (2019) and Fu et al. (2016). Filled triangles represent high altitude sites. We 539 only include observations collected between 2010 and 2015. Values inset are the means ± 540 standard deviations for the global ensemble of sites (left panel) and for the subset of sites 541 over the contiguous US and Canada (right panel). The bottom panel shows total (wet + dry) 542 HgII deposition fluxes. 543
30
ASSOCIATED CONTENT 544 Supporting Information 545 Supplementary Information (PDF) 546
AUTHOR INFORMATION 547 Corresponding Author 548 *Viral Shah ([email protected]) 549 Author Contributions 550 V.S. and D.J.J. developed the chemical mechanism with input from C.P.T., E.M.S., T.S.D., and A.S.-L.; 551 V.S. and C.P.T. implemented the mechanism in GEOS-Chem; X.W. developed the current GEOS-Chem 552 halogen simulation; T.S.D, I.Č, V.K, and P.J.C. performed the quantum chemistry calculations for the 553 reactions of BrHg and HOHg with ozone; R.W. and C.W. conducted laboratory experiments on the BrHg 554 and ozone reaction; V.S. and D.J.J. wrote the manuscript with contributions from all coauthors. 555
ACKNOWLEDGMENTS 556 This work was funded by the US EPA Science to Achieve Results (STAR) Program. This work was also 557 supported by the Slovak Grant Agency VEGA (grant 1/0777/19), the high-performance computing facility 558 of the Centre for Information Technology (https://uniba.sk/en/HPC-Clara) at Comenius University, and 559 the US National Science Foundation under awards 1609848 and 2004100. We thank Hélène Angot (CU 560 Boulder) for the surface measurement data. 561
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