Glaciochemical investigation of an ice core from Belukha glacier, Siberian Altai

Olivier, Susanne; Schwikowski, Margit; Brütsch, Sabina; Eyrikh, Stella; Gäggeler, H. W.; Lüthi, Martin P.; Papina, Tatyana; Saurer, Matthias; Schotterer, U.; Tobler, L.; Vogel, Edith

doi:10.1029/2003gl018290

Cited by 61 publications

(75 citation statements)

References 25 publications

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“…The drill site selected by a Swiss team (Olivier and others, 2003), on the saddle (4062 m a.s.l.) of a narrow field between the Belukha (4499 m a.s.l.)…”

Section: Field Measurementsmentioning

confidence: 99%

“…However, environmental records from the northwestern periphery of the central Asian mountain system (CAMS), obtained from Tien Shan firn/ice cores others, 2001, 2003;Aizen and others, 2004) and snow/firn-core records from alpine areas in Siberia (Olivier and others, 2003;Aizen and others, in press), are extending the area of climatic and environmental analyses in Asia.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Stable-isotope time series and precipitation origin from firn-core and snow samples, Altai glaciers, Siberia

Aizen¹,

Aizen²,

Fujita

et al. 2005

J. Glaciol.

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“…The drill site selected by a Swiss team (Olivier and others, 2003), on the saddle (4062 m a.s.l.) of a narrow field between the Belukha (4499 m a.s.l.)…”

Section: Field Measurementsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Stable-isotope time series and precipitation origin from firn-core and snow samples, Altai glaciers, Siberia

Aizen¹,

Aizen²,

Fujita

et al. 2005

J. Glaciol.

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“…In Table 6, an ice core from the ice near Mizuho Station, Antarctica was sampled by Murozumi et al (1978), a firn core from the Dasuopu glacier Larose et al (2010) in Tibet was sampled by Wang et al (2008), and an ice core from a glacier located at 4062 m a.s.l. on a saddle between the two summits of Belukha in the Siberian Altai (Olivier et al, 2003) was studied by Eyrikh et al (2003). In all, there are 9 mean values of the 24-h fractional loss of mercury from surface snow, 19 mean concentrations of mercury in surface snow, 20 mean concentrations of mercury in seasonal snowpacks, 8 mean concentrations of mercury in the snowpack meltwater's ionic pulse, and 8 mean concentrations of mercury in long-term snowpack-related records.…”

Section: Observationsmentioning

confidence: 99%

How relevant is the deposition of mercury onto snowpacks? – Part 1: A statistical study on the impact of environmental factors

Durnford¹,

Dastoor

Steen

et al. 2012

Atmos. Chem. Phys.

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Abstract.A portion of the highly toxic methylmercury that bioaccumulates in aquatic life is created from mercury entering bodies of water with snowpack meltwater. To determine the importance of meltwater as a source of aquatic mercury, it is necessary to understand the environmental processes that govern the behavior of snowpack-related mercury. In this study we investigate relationships among 5 types of snowpack-related mercury observations and 20 model environmental variables. The observation types are the 24-h fractional loss of mercury from surface snow, and the concentrations of mercury in surface snow, seasonal snowpacks, the snowpack meltwater's ionic pulse, and long-term snowpackrelated records. The model environmental variables include those related to atmospheric mercury, insolation, wind, atmospheric stability, snowpack physical characteristics, atmospheric pressure, and solid precipitation. Bivariate and multiple linear regressions were performed twice for each mercury observation type: once with all observations, and once excluding observations from locations where the snowpack's burden of oxidizing and stabilizing halogens is known or presumed to affect snowpack mercury. Since no observations from long-term snowpack-related records were considered affected by halogens, this group of observations was included with the sets of uninfluenced observations and was not discussed with the complete, original sets of observations. When all observations are included, only 37 % of their variability can be explained, on average, with significance confidence levels averaging 81 %; a separate regression model predicts each mercury observation type. Without the influence of halogens, the regression models are able to explain an average of 79 % of the observations' variability with significance confidence levels averaging 97 %. The snowpackrelated mercury observations are most strongly controlled by the dry and wet depositions of oxidized mercury, and by precipitation. Mercury deposited through wet processes is more strongly retained by snowpacks than mercury deposited through dry processes. Revolatilization of mercury deposited through wet processes may be inhibited through burial by fresh snowfalls and/or by its more central location, compared to that of mercury deposited through dry deposition, within snowpack snow grains. The two depositions of oxidized mercury together explain 84 % of the variability in observed concentrations of mercury in surface snow, 52 % of the variability of observed concentrations of mercury in seasonal snowpacks and their meltwater's ionic pulse, and only 20 % of the variability of observed concentrations of mercury in long-term snowpack-related records; other environmental controls seemingly gain in relevance as time passes. The concentration of mercury in long-term records is apparently primarily affected by latitude; both the primary sources

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“…In July 2001 a 139 m-long ice core was retrieved from the glacier saddle between the Belukha east and west summit (4062 m a.s.l., 49 • 48 26 N, 86 • 34 43 E) (Olivier et al, 2003). The ice core was transported frozen to the Paul Scherrer Institute (PSI), Switzerland, for sampling and glaciochemical, diatom, spore, and pollen analyses.…”

Section: Samplingmentioning

confidence: 99%

Biological proxies recorded in a Belukha ice core, Russian Altai

et al. 2013

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Abstract. Different biological proxies such as pollen, cysts, and diatoms were identified and quantified in the upper part of a Belukha ice core from the Russian Altai. The ice core from the Belukha glacier collected in 2001 (4062 m a.s.l., 49 • 48 N, 86 • 34 E) was analyzed with annual resolution in the period . Daily data of the frequency of synoptic patterns observed in the Northern Hemisphere along with daily data of precipitation have been used to identify the predominant atmospheric circulations (elementary circulating mechanisms, or ECMs) generating the entry of biological proxies on the glacier surface. It was shown that the high-resolution records of diatoms, cysts, spores, and plant pollen in the Belukha ice core are the biological proxies for the changes in the structure of precipitation in the Altai region since these records can reflect changes in the contribution of different atmospheric circulation to annual or seasonal precipitation. The joint consideration of the transport ability of the biological species and the data of precipitation allowed us to determine the main modern sources of biological proxies deposited at the Belukha glacier. The main sources of diatoms in the Belukha ice core are water bodies of the Aral, Caspian, and northern Kazakhstan basins; coniferous tree pollen originated from the taiga forest of the boreal zone of western Siberia; pollen of deciduous trees and herbs from steppe and forest-steppe vegetation in the northern Altai and eastern Kazakhstan; and cysts and spores of plants were transported from local water bodies and forests. The identified source regions of the biological species are supported by back trajectory analyses and are in good agreement with emission source regions of the trace elements in the ice core.

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Glaciochemical investigation of an ice core from Belukha glacier, Siberian Altai

Cited by 61 publications

References 25 publications

Stable-isotope time series and precipitation origin from firn-core and snow samples, Altai glaciers, Siberia

Stable-isotope time series and precipitation origin from firn-core and snow samples, Altai glaciers, Siberia

How relevant is the deposition of mercury onto snowpacks? – Part 1: A statistical study on the impact of environmental factors

Biological proxies recorded in a Belukha ice core, Russian Altai

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