Mercury content of Antarctic ice and snow: Further results

Sheppard, D.S.; Patterson, John E.; McAdam, M.K.

doi:10.1016/0960-1686(91)90024-2

Cited by 30 publications

(17 citation statements)

References 11 publications

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“…Table S1). In general, the surface snow THg concentrations along the expedition transects in eastern Antarctica agreed well with those reported from another expedition routes in Dronning Maud Land [B0.4Á10.8 ng/ L (n 044)] (Han et al, 2011) and were comparable with those from South Victoria Land [0.4Á1.5 ng/L (n 05)] (Sheppard et al, 1991) and Summit in Greenland [B0. 05Á2.0 ng/L (n056)] .…”

Section: Sample Analysissupporting

confidence: 84%

Spatial and temporal variations of total mercury in Antarctic snow along the transect from Zhongshan Station to Dome A

Li¹,

Kang

Shi³

et al. 2014

Tellus B: Chemical and Physical Meteorology

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A B S T R A C T In this study, the concentrations of total mercury (THg) and ions deposited in the surface snow and snow pits in the eastern Antarctic along the 29th inland route of the Chinese National Antarctic Research Expedition were analysed. The THg concentrations in the surface snow ranged from 0.22 to 8.29 ng/L and elevated concentrations were detected in the inland regions of higher altitudes (3000Á4000 m). The spatial distribution of the THg in the snow pits showed greater inland concentrations with mean concentrations of B0.2Á1.33 ng/L. The THg concentrations in the coastal snow pit (29-A) showed higher concentrations in the summer snow layers than in the winter snow layers. The THg records from the two inland snow pits (29-K and 29-L) spanned decades and indicated elevated THg concentrations between the late 1970s and early 1980s and during the mid-1990s. The temporal variations of THg in the Antarctic snow layers were consistent with anthropogenic emissions around the world. In addition, the Pinatubo volcanic eruption was the primary contributor to the 1992 THg peak that was observed in the inland snow pits.

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Section: Sample Analysissupporting

confidence: 84%

Spatial and temporal variations of total mercury in Antarctic snow along the transect from Zhongshan Station to Dome A

Li¹,

Kang

Shi³

et al. 2014

Tellus B: Chemical and Physical Meteorology

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“…It has been done in the past for ionic species of mercury (e.g. [14]) or dissolved gaseous mercury in the snow [11]. To examine scrupulously the role of the snowpack and investigate atmosphere/snowpack interactions of gaseous mercury, special attention must also be paid to gaseous mercury present in interstitial air in snow.…”

Section: Introductionmentioning

confidence: 99%

First investigation of an original device dedicated to the determination of gaseous mercury in interstitial air in snow

2003

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The GAMAS (gaseous mercury in interstitial air in snow) instrument developed in our laboratory is a new device devoted to sampling and determination of gaseous mercury concentration in interstitial air in snow. Sampling probes inserted in the snowpack, coupled with a Gardis mercury vapour analyser, provide reliable and original data of vertical profiles of both snow temperature and gaseous mercury concentration at several depths in a snow mantle. This instrument has been tested successfully in Station Nord in Greenland in February-March 2002. A description of this instrument, of the sampling area and its setting up is presented with precise details. Illustrations of the first investigations are given showing a rapid decrease of gaseous mercury concentration simultaneously with depth. A concentration of 0.10 ng/m(3) is reached at 120 cm depth. It may be the result of fast oxidation processes occurring within the snowpack. Gaseous mercury behaviour in the snowpack is a central parameter to elucidate the fate of deposited mercury after mercury depletion events in polar regions. With our new device, we have now the opportunity to determine this key parameter.

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“…Published data (Murozumi et al, 1969;Boutron andPatterson, 1983, 1987;Go¨rlach and Boutron, 1992;Boutron et al, 1990Sheppard et al, 1991;Suttie and Wolff, 1992;Wolff and Suttie, 1994;Wolff and Peel, 1994;Rosman et al, 1994b;Vandal et al, 1995;Barbante et al, 1997a, b) indeed do not allow time trends from the Industrial Revolution to the present to be assessed: the longest time series which are available for single locations are only for :60 years at the best (Wolff and Suttie, 1994), which is clearly insufficient. Moreover, most data are for only one metal, Pb.…”

Section: Introductionmentioning

confidence: 99%