Ice thickness, volume and subglacial relief of Djankuat Glacier (Central Caucasus)

Лаврентьев, И. И.; Kutuzov, Stanislav; Petrakov, Dmitry; Попов, Г. А.; Popovnin, Victor

doi:10.15356/2076-6734-2014-4-7-19

Cited by 12 publications

(11 citation statements)

References 11 publications

(18 reference statements)

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“…The Djankuat glacier is a typical plain valley glacier. According to 2007 data, the Djankuat glacier area was 2.930 km 2 ; in 2013, the glacier area has dropped to 2.488 km 2 [5]. The volume of the glacier for 2013 was 0.077 km 3 [16].…”

Section: Study Areamentioning

confidence: 99%

“…In total, the glaciers of Caucasus area have decreased by 4.7 ± 2.1% or 19.2 ± 8.7 km 2 from 407.3 ± 5.4 km 2 to 388.1 ± 5.2 km 2 since 1987 to 2010 [6]. From 2006 to 2015 the volume of the Djankuat glacier decreased by 25% which shows an increase in the rates of glacier degradation [5].To assess the melting of glaciers and their contribution to the glacial runoff, the mathematical simulation method was used. This method is quite common and widely used in many mountainous areas of the Earth [4,[7][8][9][10].…”

Section: Introductionmentioning

confidence: 96%

“…This problem is especially relevant for the mountainous and arid regions of our planet. The example of glacial fresh water supplies exhaustion in the Central Caucasus is the representative glacier Djankuat, where since 1974 the volume of the glacier has almost halved, by 2013 it was about 0.077 ± 0.002 km 3 [5]. In total, the glaciers of Caucasus area have decreased by 4.7 ± 2.1% or 19.2 ± 8.7 km 2 from 407.3 ± 5.4 km 2 to 388.1 ± 5.2 km 2 since 1987 to 2010 [6].…”

Section: Introductionmentioning

confidence: 99%

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Modelling glaciers’ melting in Central Caucasus (the Djankuat and Bashkara Glacier case study)

et al. 2020

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The A-melt model was applied to assess the contribution snow and ice melting to river flow during the summer period of 2017 for the Bashkara and Djankuat glaciers located in the Caucasus. During the study period, the Djankuat river runoff amounted to 120 thousand m3, while the peak value of snow and ice melting was 300-400 thousand m3 per day, and on average 189 thousand m3. The significant influence of groundwater on the river flow is traced. The melt water contribution to the glacial lake Bashkara outburst manifested in the gradual accumulation of water large volumes over the summer period. The melting of snow and ice the day before the lake outburst reached 31 thousand m3, with an average value of 192 thousand m3 for the Bashkara basin. The total melting volume of the Djankuat basin was 0.016 km3, and of the Bashkara basin – 0.017 km3. As a result, the A-Melt model demonstrates the evaluation ability of glaciers’ impact on mountain rivers runoff.

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Section: Study Areamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

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Modelling glaciers’ melting in Central Caucasus (the Djankuat and Bashkara Glacier case study)

et al. 2020

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“…3.1.6 of the paper) makes it possible to estimate the ratio of these components to the total river flow. A series of articles were published from the beginning of the 1970s, describing runoff hydrograph separation by nourishment sources with the use of 18 O and D (see for example Dincer et al, 1970;Martinec et al, 1974;Fritz et al, 1976;Hermann et al, 1978;Cable, 2011).…”

Section: Stable Isotopesmentioning

confidence: 99%

Djankuat glacier station in the North Caucasus, Russia: a database of glaciological, hydrological, and meteorological observations and stable isotope sampling results during 2007–2017

Rets

Popovnin

Toropov

et al. 2019

Earth Syst. Sci. Data

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Abstract. This study presents a dataset on long-term multidisciplinary glaciological, hydrological, and meteorological observations and isotope sampling in a sparsely monitored alpine zone of the North Caucasus in the Djankuat research basin. The Djankuat glacier, which is the largest in the basin, was chosen as representative of the central North Caucasus during the International Hydrological Decade and is one of 30 “reference” glaciers in the world that have annual mass balance series longer than 50 years (Zemp et al., 2009). The dataset features a comprehensive set of observations from 2007 to 2017 and contains yearly measurements of snow depth and density; measurements of dynamics of snow and ice melting; measurements of water runoff, conductivity, turbidity, temperature, δ18O, δD at the main gauging station (844 samples in total) with an hourly or sub-daily time step depending on the parameter; data on δ18O and δ2H sampling of liquid precipitation, snow, ice, firn, and groundwater in different parts of the watershed taken regularly during melting season (485 samples in total); measurements of precipitation amount, air temperature, relative humidity, shortwave incoming and reflected radiation, longwave downward and upward radiation, atmospheric pressure, and wind speed and direction – measured at several automatic weather stations within the basin with 15 min to 1 h time steps; gradient meteorological measurements to estimate turbulent fluxes of heat and moisture, measuring three components of wind speed at a frequency of 10 Hz to estimate the impulse of turbulent fluxes of sensible and latent heat over the glacier surface by the eddy covariance method. Data were collected during the ablation period (June–September). The observations were halted in winter. The dataset is available from PANGAEA (https://doi.org/10.1594/PANGAEA.894807, Rets et al., 2018a) and will be further updated. The dataset can be useful for developing and verifying hydrological, glaciological, and meteorological models for alpine areas, to study the impact of climate change on hydrology of mountain regions using isotopic and hydrochemical approaches in hydrology. As the dataset includes the measurements of hydrometeorological and glaciological variables during the catastrophic proglacial lake outburst in the neighboring Bashkara valley in September 2017, it is a valuable contribution to study lake outbursts.

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“…It is a valley glacier, with the lowest point of the tongue at approximately 2750 m, the elevation of bergschrund of 3600 m. The mean elevation of the glacier is 3210 m, the area is 2.6 km 2 , length -3.0 km. The maximum measured thickness of the glacier is 105 m at the average thickness of 31 m (Lavrentiev et al, 2014). The Djankuat river basin also contains three small glaciers with the area less than 0.5 km 2 : Koyavgan, Via-Tau, and Visyachiy.…”

Section: Introductionmentioning

confidence: 99%

Djankuat Glacier Station in the North Caucasus, Russia: A Database of complex glaciological, hydrological, meteorological observations and stable isotopes sampling results during 2007-2017

Rets¹,

Popovnin²,

Toropov³

et al. 2018

Preprint

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Abstract. The study presents a dataset on long-term complex glaciological, hydrological, meteorological observations and isotopes sampling in an extremely underreported alpine zone of the North Caucasus. The Djankuat research basin is of 9.1 km2, situated on elevations between 2500–4000 m, by 30 % covered with glaciers. The biggest in the basin – the Djankuat glacier was chosen as representative of the central North Caucasus during the International Hydrological Decade and is one of 30 "reference" glaciers in the world that have annual mass balance series longer than 50 years (Zemp et al., 2009). The dataset covers 2007–2017 and contains the result of yearly measurements of snow thickness and density; dynamics of snow and ice melting; measurements of water runoff, conductivity, turbidity, temperature, δ18O, δ2H on the main gauging station (844 samples in sum) with a one-hour or several-hours step depending on the parameter; data on δ18O and δ2H sampling of liquid precipitation, snow, ice, firn, groundwater in different parts of the watershed regularly in time during melting season (485 samples in sum); precipitation amount, air temperature, relative humidity, shortwave incoming and reflected radiation, longwave downward and upward radiation, atmospheric pressure, wind speed and direction – measured on several automatic weather stations within the basin with 15 min – one-hour step; gradient meteorological measurements to estimate turbulent fluxes of heat and moisture, measuring three components of wind speed at a frequency of 10 hertz to estimate the turbulent impulse heat fluxes over the glacier surface by the eddy covariance method. All the observations were done during ablation period (June–September) and were interrupted in winter. The dataset was published on knb.ecoinformatics.org long-term repository doi:https://doi.org/10.5063/F1H1307Q and will be further updated. The dataset can be useful for developing and verifying hydrological, glaciological and meteorological models for high elevation territories, to study impact of climate change on hydrology of mountain regions, using isotopic and hydrochemical approaches to study mountain territories. As the dataset includes the measurements of hydrometeorological and glaciological parameters during the catastrophic proglacial lake outburst in the neighboring Bashkara valley in September 2017, it is a valuable contribution to the study of this dangerous hydrological phenomena.

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Ice thickness, volume and subglacial relief of Djankuat Glacier (Central Caucasus)

Cited by 12 publications

References 11 publications

Modelling glaciers’ melting in Central Caucasus (the Djankuat and Bashkara Glacier case study)

Modelling glaciers’ melting in Central Caucasus (the Djankuat and Bashkara Glacier case study)

Djankuat glacier station in the North Caucasus, Russia: a database of glaciological, hydrological, and meteorological observations and stable isotope sampling results during 2007–2017

Djankuat Glacier Station in the North Caucasus, Russia: A Database of complex glaciological, hydrological, meteorological observations and stable isotopes sampling results during 2007-2017

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