Introduction
Mercury (Hg) is a toxic element that has natural and anthropogenic sources, sinks, and cycles within the environment. Human activities such as gold mining and biomass/fossil fuel combustion have perturbed the natural cycling of mercury through the addition of mercury emissions, which are re-deposited from the atmosphere to land, vegetation, and water bodies. It is estimated that currently anthropogenic emissions to the atmosphere increase the global atmospheric mercury pool by 1960 t annually, a value that represents 30 % of estimated mercury emissions, with the remainder emitted from natural geological sources (10 %) or re-emitted from stores of previously deposited mercury (60 %). These mercury emission estimates are subject to large uncertainties . That anthropogenic mercury sources now exceed those from natural sources on a global scale is of concern for both human and environmental health. Evidence suggests these additional sources are leading to increased concentrations of mercury in the oceans and in marine animals, with the consequence that bioaccumulation of toxic methylmercury within aquatic food chains has also increased . There exists a significant pathway for methylmercury transfer to humans, as it is estimated that more than 100 Mt of fish are eaten worldwide each year and fish provide 2.5 billion people with at least 20 % of their protein intake. Mercury in this latter form can seriously threaten human health through impacts on the development of foetuses and young children. In response to this threat, the United Nations Environment Programme (UNEP) has developed the Minamata Convention on Mercury, which is expected to be ratified in 2017.
The global cycling of mercury is unique amongst metals, as within Earth's
atmosphere 90 to 99 % of mercury is found as gaseous elemental mercury
(GEM), with the remaining portion composed of operationally defined gaseous
oxidised mercury (GOM) and particulate-bound mercury (PBM) – collectively
known as reactive mercury (RM) . The low atmospheric
reactivity and low solubility of the elemental form (GEM) results in low
wet/dry deposition rates and scavenging of GEM from the atmosphere. These
attributes result in atmospheric transport being the dominant distribution
mechanism through the environment, with long-range transport possible across
hemispheric scales. Differences in background atmospheric mercury
concentrations between the hemispheres are hence dependent on emission rates,
deposition rates, inter-hemispheric transport processes, and atmospheric
mercury lifetimes. The atmospheric lifetime is defined here as the mean time
after emission that GEM is removed from the atmosphere
and is estimated from mass-balance approaches
utilising hemispheric background concentration and source/sink data
With 68 % of the Earth's landmass and 88 % of the human population in the Northern Hemisphere (NH), both natural and anthropogenic emissions of mercury are disproportionately distributed between the hemispheres. Towards the equator, the existence of the Intertropical Convergence Zone (ITCZ) and the associated upward/poleward movement of the Hadley circulation leads to reduced tropospheric mixing across the atmospheric or chemical equator and hence a broad, hemispheric gradient of GEM concentrations . Stationary observations of GEM within the tropics are rare but those that are available report significant changes in concentration as source regions shift across hemispheres with the drift of the atmospheric equator . The tropics also represent an important region for mercury cycling as they are home to around 40 % of the world's population, including over 50 % of people under the age of 15, a group at greater risk of adverse effects due to mercury exposure during early development . Furthermore, this region hosts several large coastal communities within emerging and developing economies, in which environmental controls and advisories are not always well developed .
Characterisation of background GEM in the tropics and Southern Hemisphere (SH) has been hindered by a lack of observations and is based largely on intermittent ship voyages , along with a few long-term stationary records in South America, Africa, Antarctica, and islands in the Indian and eastern Pacific oceans . A recent comparison of interannual records from four mercury monitoring stations spanning a latitude range of 34–72 S, of which the longest-running spans 7 years, suggests that background GEM concentrations in the SH are between 0.85 and 1.05 ng m . Previous measurements of atmospheric mercury concentrations have also been reviewed by . The Australian continent, with its large non-Antarctic SH landmass (22 %), a latitudinal distribution (11–44 S) spanning diverse climatic zones, and a mercury emission profile characterised by anthropogenic sources that are significantly smaller than natural and re-emitted sources , presents unique opportunities for extending environmental mercury monitoring in a region that has largely been under-represented.
Initiated under the Global Mercury Observation System (GMOS) and considered for inclusion with the Asia Pacific Mercury Monitoring Network (APMMN), measurements of GEM are being undertaken at the Australian Tropical Atmospheric Research Station (ATARS), northeast of Darwin in Australia's Northern Territory. Of the six GMOS sites classed as tropical, ATARS is the southernmost and one of only two (along with Kodaicanal; 10.2314 N, 77.4652 E) situated in the Eastern Hemisphere. This site is therefore important in bridging the spatial gap in GEM measurements in equatorial regions around the globe. Originally an experimental radar site, ATARS was expanded in 2010 to incorporate greenhouse gas measurements as part of the Australian Greenhouse Gas Observation Network and is operated jointly by the Australian Bureau of Meteorology (BoM) and the Commonwealth Science and Industrial Research Organisation (CSIRO). The Australian Nuclear Science and Technology Organisation (ANSTO) began continuous atmospheric radon measurements at the site in 2012 to aid in the determination of terrestrial influence on observed air masses . In June 2014, an additional expansion took place and now continuous aerosol, reactive gas (O, NO), and GEM measurements complement the suite of atmospheric measurements at the site . This GEM dataset represents the first multi-year time series of atmospheric mercury monitoring in tropical Australia.
We present here the first 2 years of tropical GEM measurements from ATARS, examine their seasonal and diurnal variations, and evaluate the contribution of air masses transported from the NH to the observed concentrations. These results add substantial new information to our understanding of mercury in the SH and tropical atmosphere.
Methods
Site description
ATARS is situated on the Gunn Point peninsula (12.2491 S,
131.0447 E; Fig. ), approximately 20 km northeast
from the suburban edge of Darwin
The climate in the region is best described as tropical
The vegetation classification is savannah with coarse grasses and scattered
tree growth immediately surrounding the site. Burning of the grassed areas
occurs frequently, with a fire return interval of 1–2 years. Direct mercury
analysis
Anthropogenic emissions of mercury and its compounds to the atmosphere in and around Darwin are generally quite low. Australian National Pollutant Inventory (NPI) data for 2014–2015 state that six sites situated between 20 and 40 km from ATARS in the direction of Darwin (wind directions 190 to 240) emitted a total of 0.12 kg Hg to the atmosphere . Other distributed anthropogenic mercury emissions in Darwin are estimated at less than 0.2 kg a, based on 25 km 25 km gridded population data .
Map of region surrounding ATARS. Composed in QGIS using Natural Earth dataset.
[Figure omitted. See PDF]
Measurements
Continuous (5 min sample) GEM measurements were obtained using a Tekran
2537X Automated Ambient Air Analyser (2537X). This instrument is housed in an
air-conditioned structure with internal temperature set at 25 C.
Air is sampled from a 10 m high tower through 7.95 mm I.D. perfluoroalkoxy
tubing using a Thomas 2688 vacuum pump drawing approximately
50 L min (residence time 0.6 s). The 2537X subsamples from this
flow at 1 L min through 6 m of heated polytetrafluoroethylene
(PTFE) line maintained at 50 C, and two 0.2 m PTFE
filters positioned before and after the heated line. The 2537X operates on
the principle of cold vapour atomic fluorescence spectroscopy (CVAFS)
following gold amalgamation pre-concentration
Quality assurance and quality control procedures were applied as per protocols derived for GMOS sites . Calibration of the 2537X took place every 23 h using an internal mercury permeation source maintained at 50 C. Primary calibration of this source took place twice each year using manual injections of mercury vapour. No change in the internal source permeation rate was detected over this period. Furthermore, standard additions of mercury are automatically introduced to the 2537X from the internal permeation source every 35 samples ( 3 h) in order to verify GEM recovery performance.
Continuous hourly measurements of radon were sampled at 12 m using an
ANSTO-designed and built, 700 L dual-flow-loop two-filter radon detector
. This detector samples at
40 L min through 25 mm high-density polyethylene agricultural pipe
and has a lower limit of detection of 40–50 mBq m. Calibrations are
performed monthly by injecting radon from a
101.15 4 % kBq Ra source (delivering
12.745 Bq Rn min), traceable to NIST standards. Instrumental
background is checked every 3 months. Radon measurements were corrected for
the response time of the instrument , although the
main trends were not affected by this time correction. Time-corrected radon
data were then split into “fetch” and “diurnal” components by
interpolating between minimum afternoon (12:00 to 17:00) values when
atmospheric mixing is greatest and subtracting these interpolated values
(fetch component) from the original signal, leaving the diurnal component
Meteorological measurements are collected at ATARS using a standard automated weather station (AWS) operated by the Australian Bureau of Meteorology. Precipitation data were collected using a 203 mm tipping bucket rain gauge and daily totals were summed to give cumulative season totals centred around a hydrologic year beginning 1 June. The temporal extents of what we define here as “wet seasons” were then determined using the method of , whereby 15 and 85 % of the total cumulative rainfall marked their onset and conclusion, respectively. The wet season of 2014–2015 was further extended to include two > 100 mm rain events that took place in November and March.
Annual, seasonal, and monthly mean, standard deviation, and count for 5 min GEM samples between June 2014 and June 2016. Wet-season values calculated from hydrological years beginning in reported year.
Year | Dry | Wet | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2014 | Mean | 1.02 | 1.04 | 0.90 | – | – | – | – | – | 0.99 | 1.02 | 1.08 | 1.08 | 1.03 | 0.95 | |
SD | 0.10 | 0.10 | 0.12 | – | – | – | – | – | 0.07 | 0.09 | 0.10 | 0.16 | 0.13 | 0.07 | 0.08 | |
Count | 34 734 | 25 060 | 24 707 | – | – | – | – | – | 2265 | 8421 | 1413 | 2592 | 3845 | 8238 | 7960 | |
2015 | Mean | 0.93 | 0.94 | 0.93 | 0.92 | 0.79 | 0.76 | 0.82 | 0.89 | 0.95 | 0.96 | 1.00 | 0.99 | 1.01 | 0.99 | 0.96 |
SD | 0.12 | 0.12 | 0.11 | 0.10 | 0.11 | 0.07 | 0.15 | 0.11 | 0.08 | 0.09 | 0.09 | 0.07 | 0.06 | 0.15 | 0.09 | |
Count | 72 060 | 54 071 | 23 649 | 8184 | 4830 | 2447 | 5551 | 8848 | 8105 | 6964 | 5613 | 2076 | 5090 | 7636 | 6716 | |
2016 | Mean | 0.92 | – | – | 0.94 | 0.91 | 0.88 | – | – | – | – | – | – | – | – | – |
SD | 0.11 | – | – | 0.11 | 0.12 | 0.08 | – | – | – | – | – | – | – | – | – | |
Count | 21 576 | – | – | 8438 | 7631 | 5507 | – | – | – | – | – | – | – | – | – |
Modelling
As the atmospheric equator changes its position relative to the geographic equator, we employed a system of passive tracers within the GEOS-Chem chemical transport model to help assess the impact of air originating from the NH on the site, based on the work of . We use GEOS-Chem v10-01 driven by assimilated meteorology from the NASA Goddard Earth Observing System Forward Processing (GEOS-FP) data product, run at 2 2.5 horizontal resolution and 47 vertical levels from the surface to 0.01 hPa. Tracers with 90-day lifetimes were uniformly released from the surface in all model boxes poleward of 45 latitude within each hemisphere. The atmospheric equator is then defined as the point where mixing ratios of tracers from the two hemispheres are equal. Tracer concentrations in surface air over ATARS were saved as daily mean values in the model grid box containing the site (2 latitude by 2.5 longitude and an approximate atmospheric depth of 130 m). Increasing the number of grid squares over which tracer values were averaged did not significantly affect the results.
The NOAA Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model was also employed to assess influences of air mass source regions. Global Data Assimilation System (GDAS) 0.5 meteorological reanalysis data were used to drive the model, and trajectories were initialised at 0.5 times the mixed layer height as determined by HYSPLIT. To reduce the influence of local daily variation in GEM concentrations on this analysis, back trajectories were calculated for each hour of the day rather than as a daily or part-daily mean. For each trajectory, air parcel coordinates were calculated every 2 h and weighted per the corresponding GEM concentration. These weighted values were then averaged over 0.5 0.5 grid cells.
Results and discussion
Overall means and seasonal trends
Measurements of GEM at ATARS began on 5 June 2014 and were still ongoing at the time of writing. Instrument maintenance/downtime plus application of QC protocols, including calibration and standard additions, resulted in 68.1 % temporal measurement coverage during the first 2 years of operation (Fig. , Table ). Concentrations are normally distributed across this period with an overall mean of 0.95 0.12 ng m ( 130 312), which is within the range of long-term background GEM concentrations for the SH as reported by . Mean GEM concentrations reported by over 2012–2013 at Cape Grim, Tasmania (40.6832 S, 144.6899 E), and by over 2014–2015 at Singleton, NSW (32.4777 S, 151.1018 E), were both 0.86 ng m (9 % lower), suggesting a slight latitudinal gradient in GEM across the Australian continent. These differences are statistically significant (Student's test, 0.0001), though differences in the sampling periods introduces additional uncertainty due to seasonal variation at the sites. Further, an analysis of systematic instrument uncertainty for the Tekran 2537 by showed this to be 10 %. A latitudinal gradient within the SH was more generally seen in median annual GEM concentrations for GMOS sites in 2013–2014, based on data from five sites . GEM measurements at ATARS were coincident with those reported by for only the latter 6 months of 2014, a period spanning the late dry season and early wet season. Concentrations during this period were 1.02 0.10 ng m – higher than the overall mean at ATARS, though still lower than mean values reported for other tropical GMOS sites.
(a) 5 min GEM data, daily rainfall, and daily min/max relative humidity values plus wet-season ranges as defined by . (b) 5 min GEM, hourly fetch-component radon and daily NH tracers. Days defined as NH-influenced are marked with diamonds.
[Figure omitted. See PDF]
A seasonal trend is apparent in the GEM time series (Fig. ), which shows higher concentrations during the dry season compared to the wet. Wind sector analysis also shows distinctly different wind patterns between wet and dry seasons (Fig. ). During the wet season, 60 % of winds come to the site from a westerly direction, consistent with shifting of the ITCZ and associated low-pressure systems towards northern Australia. In the dry season, southeasterly to northeasterly winds are more common ( 65 % between 30 and 150), although there is also a notable westerly element. Concentration distributions vary between seasons, with a larger fraction of values above 1 ng m seen in the dry period. Within each season, however, these distributions do not change significantly with wind direction. Furthermore, the small percentage of winds arriving from the southwest show no change in GEM distribution, implying that the low mercury emissions from Darwin are not significantly impacting measurements and that overall trends are indicative of influences from the global atmospheric mercury pool rather than local sources.
Figure shows that the highest GEM values are concentrated into short peaks, clustered more heavily around the mid- to late dry season. In the absence of local anthropogenic sources, this is considered consistent with biomass-burning events and the associated release of mercury from volatilisation and thermal desorption from vegetation and soils . These biomass-burning events occur extensively in northern Australia throughout the dry season as the result of natural and accidental lighting, as well as part of local land management practices . concluded that burning in the northernmost part of Australia can contribute up to around 2 kg Hg km a to the atmosphere (2006 data, 25 km 25 km grid resolution).
Directional GEM concentration distributions for (a) dry season and (b) all wet-season half-hourly GEM data.
[Figure omitted. See PDF]
An intensive study of these biomass-burning events undertaken at ATARS during
the early dry season in 2014 also confirmed spikes in GEM concentration that
were associated with biomass burning
. The distance to the fire and
atmospheric dispersion, as well as vegetation type and associated mercury
loading, were all identified as factors influencing the strength of these
biomass-burning signals. calculated emission
factors for GEM between 0.0035 and 0.032 g Hg per kg dry fuel, around 2
orders of magnitude higher than that reported by
Wet-season GEM concentrations in 2014–2015 were characterised by a steady, gradual decrease that reversed abruptly in early April shortly after the onset of the dry season (Fig. ). GEM concentrations during the 2015–2016 wet season saw a similar, though much less distinct decrease over a shorter and drier season. Figure also shows that fetch-component radon concentrations begin to drop in both years around September–October, which HYSPLIT trajectories show is coincident with air mass origin shifting away from the Australian continent and towards the northern Arafura and Timor seas. Throughout the wet season fetch-component radon remains low, though not at baseline levels , implying that there is still some terrestrial influence on incoming air masses from the Australian continent or surrounding islands to the north. Wet-season wind data (Fig. ) confirm that the predominant fetch during this period is from the west, where the Timor Sea lies less than 2 km from ATARS. Air–sea exchange of mercury is complex, with the ocean generally considered a net sink for atmospheric mercury . Reduction of mercury within the photolytic zone can give rise to increased concentrations of elemental mercury and hence evasion of GEM to the atmosphere . Terrestrial surfaces are also commonly sources of GEM; modelled terrestrial mercury emission fluxes over Australia that were generally between 8 and 44 g m a from soil and vegetation. Figure does not show a strong difference in concentration distributions between the two source regions.
The increase in GEM concentrations in the early 2015 dry season was
coincident with a shift to largely terrestrial-influenced fetch, as evidenced
by a coincident increase in fetch-component radon, as well as with the
conclusion of the monsoon season. The timing offset between decreases in GEM
and fetch-component radon in the early wet and late dry seasons suggests that
air mass origin is not the only influence on wet-season GEM decreases. Within
tropical regions, wet deposition has been shown to be a significant pathway
for mercury from the atmosphere to both oceanic and terrestrial ecosystems,
even in relatively low-mercury air and despite the low solubility of mercury
in its elemental form . Mercury “rainout” – or the tendency
for mercury rainwater loading to decrease with increasing precipitation –
has also been demonstrated in Mercury Deposition Network (MDN) data in North
America and positive correlations
between GEM (TGM) and rainwater mercury have been reported in MDN data
Diurnal composites of hourly radon (a, b), GEM (c, d), and wind direction (e, f) for (left) dry-season data and (right) all wet-season data. Edges of shading denote median sunset/sunrise times for each season. Data have been split into stability categories based on diurnal-component radon quartiles at sunrise (marked in top panels). Lines are median values, and error bars indicate inter-quartile ranges.
[Figure omitted. See PDF]
Diurnal variation
Short, significant troughs in GEM values can be seen in Fig. , down to a minimum value of 0.28 ng m. These are more pronounced in the dry season, though still common during the wet. GEM recoveries from standard additions during these periods were investigated and remained within 10 % of expected values with no evident pattern throughout the day, implying the drops in observed GEM were due to natural phenomena and not a change in instrument GEM recovery. Atmospheric mercury depletion events (AMDEs) and the mechanisms behind them have been well documented in polar regions , though other similar events have been observed within the mid-latitudes . The mechanisms behind these mid-latitude depletion events are less clear and likely varied – with hypotheses such as chemical conversion of GEM to RM and subsequent deposition, transport of GEM-depleted air masses, or deposition of GEM from isolated atmospheric pools being offered. Closer inspection of the dips in GEM observed at ATARS reveals that they occur overnight and are particularly pronounced in the early hours of the morning, with a marked rebound following sunrise.
The pattern of overnight GEM depletion is shown in diurnal composite data in Fig. , along with diurnal-component radon and wind direction. Days have been defined from midday to midday, then sorted into groups according to quartiles of the diurnal-component radon value at sunrise (marked in the top figures). As radon fluxes are, across daily timescales, constant to first-order approximation, nocturnal build-up of radon is indicative of atmospheric stability, with highest radon values indicating the most stable atmospheres. This follows the radon-based stability categorisation method described by and . In the dry season (left), it can clearly be seen that the magnitude of nocturnal GEM depletion increases with increasing stability and, conversely, little to no depletion occurs under well-mixed boundary layers. Wind directions for the well-mixed category shift from coastal (westerly) in the early evening to terrestrial during the night. In contrast, wind directions for moderately mixed to stable boundary layer categories are very similar to each other, shifting from a northeasterly to southeasterly direction shortly after sunset. Terrestrial fetches encompass this range of directions and the abrupt shift in wind direction at around 20:00 has little impact on the rates of GEM depletion or radon accumulation under these stability categories. This shows that changes in advection of GEM from local source/sink regions are not responsible for observed depletion.
Wet-season diurnal-component radon values (right) are lower than in the dry season, which fits with wind profile and fetch-component radon data showing greater influence of oceanic fetch. Additionally, during the wet season rates of radon emission may be reduced in saturated soils, as reduction of pore space inhibits upward mobility to the point where radon within the soil will undergo radioactive decay before reaching the surface . During the wet season, well-mixed and moderately mixed categories are more indicative of the influence of ocean fetch than stability, as evidenced by wind directions of 273 8 for these two categories. For weakly mixed and stable categories, wind direction shifts southerly and easterly throughout the evening, from an oceanic fetch to a terrestrial fetch. It is not until this shift in wind direction occurs that GEM depletion is observed, at a similar rate to that seen in the dry season under moderately mixed to stable categories.
Normalised frequency for all 5 min GEM data, split into dry season, SH wet season, and NH wet season. Vertical lines at bottom of figure indicate mean values.
[Figure omitted. See PDF]
10th percentile (left), median (centre), and 90th percentile (right) of hourly GEM-weighted HYSPLIT trajectories for 0.5 0.5 grid squares. Panels (a)–(c) are for dry-season data, (d)–(f) for SH wet-season data, and (g)–(i) for NH wet-season data. NH wet-season map created using 10-day back trajectories, all others using 5-day trajectories.
[Figure omitted. See PDF]
We suggest from these observations during the wet and dry seasons that the observed depletion results from deposition of GEM over terrestrial surfaces. Under increasingly lower capping inversions associated with more stable boundary layers, a near-constant rate of surface deposition would result in greater concentration drops within the boundary layer, consistent with the observations at ATARS. Turbulent break-up of the nocturnal boundary layer at sunrise is also consistent with the rebound of GEM concentrations and drop in diurnal-component radon observed at this time. The rebound of GEM, however, begins the hour before diurnal-component radon signals the break-up of the nocturnal boundary layer. In the absence of changes to advection or entrainment, this suggests emission of GEM from the surface. Furthermore, for stability categories where GEM depletion has taken place, daytime GEM concentration peaks at around 10:00 before decreasing to a minimum at around 15:00, where low radon values indicate the strongest turbulent mixing with free-tropospheric air. This “overshoot” of GEM in the early morning also cannot be explained by entrainment and, at least in the dry season, by changes to fetch. Early-morning GEM emission would likely be from the most readily volatile surface mercury, released under low-light conditions (shading denotes the period between geometric sunset/sunrise and so astronomical twilight will begin up to 75 min prior to the shaded edge). We propose that this initial release of GEM is volatilised from the reduction of mercury deposited overnight, as it has been shown that the most recently deposited mercury during AMDEs is preferentially released due to photochemical reactions .
Previous studies have shown that surface GEM fluxes over soils with mercury
concentration at background levels are generally bidirectional, with little
controlling influence from soil mercury concentration
NAMDEs have also been observed in the NH, in a range of ecosystems ranging from coastal to forested . attributed 70 % of their observed depletion to surface deposition and provided modelling evidence showing that stable boundary layers of height 100 m can be completely depleted of GEM due to deposition processes. The pervasiveness of NAMDEs across multiple ecosystems, and their pervasiveness throughout the ATARS time series across all seasons, suggests that this multi-hop process is widespread. It is important to note that, due to inhibited mixing at the top of the nocturnal boundary layer, the extent of any nocturnal depletion is limited to within tens to hundreds of metres above the surface. Beyond this, movement of free-tropospheric air continues to enable long-range transport of GEM. Nevertheless, extensive and rapid bidirectional exchange with the surface would have a significant impact on our understanding of atmospheric mercury transport, impacting the relative importance of intermediate and regional-scale sources, as well as expected timescales for observed decreases in environmental mercury following actions proposed under the Minamata Convention .
Long-range transport
With seasonal changes in the latitudinal position of the ITCZ, ATARS is periodically located north of the atmospheric equator and so the possibility of interhemispheric transport to the site was also of interest. Figure shows the GEOS-Chem output for NH-released tracer concentrations at ATARS. Throughout most of the year – and consistently through the dry season – this value remains low, indicating that the site is far enough below the atmospheric equator to not be affected by transport of NH air. However, there are notable periods when this tracer value increases, along with coincident GEM increases. We arbitrarily defined air masses at the site to be significantly influenced by NH air (herein termed “NH wet season”) when the ratio of NH tracers to SH tracers was greater than 0.5 (ratio not shown). Under this definition, ATARS saw 13 NH-influenced days over three distinct periods, all during the wet season and indicated in the lower panel of Fig. . Hereafter, wet-season data that exclude these periods of NH influence are termed “SH wet season”.
The normalised frequency distribution of NH wet-season GEM data is compared
against those of dry season and SH wet-season data in
Fig. . Mean values for each were
1.08 0.12 ng m (), 0.97 0.13 ng m
(), and 0.90 0.10 ng m (),
respectively. The differences between these means were small but significant;
Student's tests showed the minimum differences between the 95 %
confidence interval of each mean to be 0.10 ng m (NH wet – dry) and
0.07 ng m (dry – SH wet). Comparison with log-normal probability
density functions for other GMOS sites over the years 2013–2014
Air mass source transport to ATARS across seasons was further investigated using 5-day HYSPLIT back trajectories. For NH-influenced air masses, use of 5-day trajectories and the geographic equator was found to be a poor predictor of NH influence at this site, with only 1.2 % of these trajectories originating from within the geographical NH. This is likely due to the significant disconnect between the geographical and meteorological equators over the Maritime Continent during the wet season. As such, 10-day back trajectories were calculated for these periods. Figure shows median, 10th, and 90th percentile GEM-weighted trajectory coordinates for 0.5 0.5 grid cells. During the dry season (top row), the influence of persistent high-pressure cells across the Australian continent can be seen, with most air parcels flowing over central and northeastern Australia. Changes to air mass source regions are seen with the southward movement of the ITCZ and associated low-pressure cells that characterise the SH wet season (centre row). The differing GEM concentration distributions between the two seasons outlined earlier are further apparent in these two figures. For NH-influenced air masses (bottom row), this analysis shows that most air masses – particularly those with the highest GEM concentrations – passed over the Indonesian archipelago. North of this, air masses moved over the South China Sea or western Pacific Ocean, with little influence from terrestrial South East Asia. Given that Indonesia's population is greater than 250 million and its biomass-burning season coincides with the Australian monsoon, it is likely that the observed increases in GEM concentrations in NH-influenced air masses are more indicative of anthropogenic or biomass GEM source influence from the Indonesian archipelago than the NH background source pool. Further investigation using chemical transport and mercury emission modelling is needed. Regardless, the current analysis shows that ATARS does observe air masses of NH origin and that measurements of GEM and other atmospheric species during these periods may help to assess the effectiveness of transport models investigating hemispheric air exchange associated with movement of the atmospheric equator.
Conclusions
We present here the first 2 years of ongoing measurements of GEM taken in tropical Australia. Comparison with other Australian datasets suggests that a latitudinal gradient of GEM exists across the continent, with higher values towards the equator. Air masses from the NH were shown to intermittently impact the tropical site ATARS, with associated increases in GEM. Generally, the concentrations seen at ATARS were indicative of SH rather than tropical air, as determined by comparison with other GMOS monitoring stations around the globe.
Seasonal variation in GEM was observed, with higher values observed in the tropical dry season compared to the wet. Spikes in GEM associated with biomass burning in the region were measured, taking place during the mid- to late dry season. Wet-season GEM showed a decreasing trend throughout 2014–2015; this was apparent though not as pronounced in the drier 2015–2016 season. The cessation of this downward trend coincides with shifts of air mass source regions from oceanic to terrestrial; however, the reverse is not the case for the onset of this trend. It is likely that precipitation rainout or aqueous-phase oxidation of GEM is responsible for this observed downward trend. Continued monitoring and wet deposition data may help to explain these seasonal features.
Daily cycles in GEM were observed at the site, characterised by nocturnal decreases in concentration followed by rapid increases around sunrise, then further decreases throughout the day. Differences in these daily trends between wet and dry seasons, along with associated changes in wind direction and stability, suggest that these nocturnal atmospheric mercury depletion events are related to dry deposition of GEM over terrestrial surfaces under increasingly stable boundary layers. Analyses using diurnal-component radon suggest the rapid increases around sunrise are partly due to volatilisation of newly deposited mercury, such as seen in other NAMDEs and in Arctic AMDEs. The extent of this multi-hop phenomenon may be widespread, which would have a significant impact on our understanding of atmospheric mercury transport, the delivery of atmospheric mercury to the environment, and the legacy of anthropogenic emissions of mercury.
Currently, multi-annual atmospheric mercury datasets for tropical and SH sites are rare, impacting the skill of regional and global models designed to further our understanding of the natural mercury cycle and its potential impacts on human and environmental health. The value of measurements such as these is in comparisons with other similar measurements around the globe. As such, the addition of this site to monitoring networks such as the Global Mercury Observation System (GMOS) or the Asia Pacific Mercury Monitoring Network (APMMN) is important in achieving greater understanding of the mercury cycle, as it is currently only one of two monitoring sites located in the tropical Eastern Hemisphere.
Article 19 of the Minamata Convention commits parties to develop and improve anthropogenic mercury inventories; efforts to monitor mercury and mercury compounds in environmental media; and modelling of mercury transport (including long-range transport and deposition), transformation and fate in a range of ecosystems. ATARS is uniquely positioned to enhance the information required for these monitoring and modelling activities.
GEM data used for this publication are available from the
GMOS data repository (
The authors declare that they have no conflict of interest.
Acknowledgements
The authors would like to thank Mark Cohen for his assistance with HYSPLIT modelling and Chris Holmes for supplying code and assistance for GEOS-Chem tracer modelling. This research was undertaken with the assistance of resources provided at the NCI National Facility systems at the Australian National University through the National Computational Merit Allocation Scheme supported by the Australian Government. Edited by: Aurélien Dommergue Reviewed by: two anonymous referees
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Abstract
Mercury is a toxic element of serious concern for human and environmental health. Understanding its natural cycling in the environment is an important goal towards assessing its impacts and the effectiveness of mitigation strategies. Due to the unique chemical and physical properties of mercury, the atmosphere is the dominant transport pathway for this heavy metal, with the consequence that regions far removed from sources can be impacted. However, there exists a dearth of long-term monitoring of atmospheric mercury, particularly in the tropics and Southern Hemisphere. This paper presents the first 2 years of gaseous elemental mercury (GEM) measurements taken at the Australian Tropical Atmospheric Research Station (ATARS) in northern Australia, as part of the Global Mercury Observation System (GMOS). Annual mean GEM concentrations determined at ATARS (0.95
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1 Department of Environmental Sciences, Macquarie University, Sydney, New South Wales, 2109, Australia
2 Centre for Atmospheric Chemistry, School of Chemistry, University of Wollongong, Wollongong, New South Wales, 2552, Australia; School of Earth & Environmental Sciences, University of Wollongong, Wollongong, New South Wales, 2552, Australia
3 Oceans and Atmosphere Flagship, Commonwealth Science and Industrial Research Organisation, Aspendale, Victoria, 3195, Australia
4 Darwin Research Station, Bureau of Meteorology, Darwin, Northern Territory, 0810, Australia
5 Institute for Environmental Research, Australian Nuclear Science and Technology Organisation, Sydney, New South Wales, 2232, Australia