Methodology for remote assessment of thermal characteristics of lakes in permafrost zone of European Russia

Мұқаба

Дәйексөз келтіру

Толық мәтін

Ашық рұқсат Ашық рұқсат
Рұқсат жабық Рұқсат берілді
Рұқсат жабық Рұқсат ақылы немесе тек жазылушылар үшін

Аннотация

The purpose of the study is to adapt the methodology of remote assessment of hydrothermodynamic characteristics of unstudied lakes to the conditions of the European Russia’s permafrost zone. The basis of the methodology is the synthesis of the results of thematic interpretation of satellite images, geostatistical assessment of their morphometric characteristics of lakes and mathematical modeling of thermodynamic processes in them. The objects of study are the permafrost zone reservoirs of three lake regions of the European Russia: the Kola segment of the Baltic Shield, the coastal plains of the Kara Sea and the western slope of the Ural Mountains, in each of which the lake basins have a similar origin. To determine the morphometric characteristics of unstudied lakes, the HydroLakes and WORDLAKE databases were used, based on remote sensing materials, literature sources and estimates of lake volumes using geostatistical models based on surface topography. The main tool for achieving this goal is a universal parameterized one-dimensional mathematical model of the hydrothermodynamics of the lake FLake, supplemented by a heat exchange block at the water-bottom boundary. The model is included in the COSMO forecasts’ system, which is used to compile weather forecasts throughout the Russian Federation as a means of assessing the influence of freshwater lakes on the local climate. To specify climate input data into the model, reanalysis materials from the ERA5 family were used. Thermohydrodynamic calculations were performed for points representative of the considered lake regions within permafrost zones. It is shown that the technique adapted to the conditions of permafrost allows one to evaluate heat exchange in the system atmosphere — ice — water mass — bottom sediments, as well as the vertical distribution of temperature in water and bottom sediments.

Толық мәтін

Рұқсат жабық

Авторлар туралы

S. Kondratyev

St. Petersburg Federal Research Center of the Russian Academy of Sciences

Email: arasulova@limno.ru

Institute of Limnology of the Russian Academy of Sciences

Ресей, St. Petersburg

S. Golosov

St. Petersburg Federal Research Center of the Russian Academy of Sciences

Email: arasulova@limno.ru

Institute of Limnology of the Russian Academy of Sciences

Ресей, St. Petersburg

I. Zverev

St. Petersburg Federal Research Center of the Russian Academy of Sciences

Email: arasulova@limno.ru

Institute of Limnology of the Russian Academy of Sciences

Ресей, St. Petersburg

A. Rasulova

St. Petersburg Federal Research Center of the Russian Academy of Sciences

Хат алмасуға жауапты Автор.
Email: arasulova@limno.ru

Institute of Limnology of the Russian Academy of Sciences

Ресей, St. Petersburg

V. Krylova

St. Petersburg Federal Research Center of the Russian Academy of Sciences

Email: arasulova@limno.ru

Institute of Limnology of the Russian Academy of Sciences

Ресей, St. Petersburg

A. Revunova

St. Petersburg Federal Research Center of the Russian Academy of Sciences

Email: arasulova@limno.ru

Institute of Limnology of the Russian Academy of Sciences

Ресей, St. Petersburg

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2. Fig. 1. Distribution pattern of permafrost in the European part of Russia: 1 — permafrost of varying thickness, 2 — lakes. Lake regions: 3 — Ural Mountains (western slope), 4 — Barents Sea coastal plains, 5 — Kola segment of the Baltic crystalline shield. Source: (Izmailova, 2018; National …, 2007).

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3. Fig. 2. Schematic diagram of the vertical temperature profile T in the snow-ice-water mass-bottom sediments system, implemented in the FLake model

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4. Fig. 3. Long-term trends in surface (TS) and bottom (Tb) water temperatures for minimum (a), (c), (d) and maximum (b), (d), (e) depths of lakes in the Kola segment of the Baltic crystalline shield (a), (b), coastal plains of the Barents Sea (c), (d) and the western slope of the Ural mountain country (d), (e).

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5. Fig. 4. Calculated ice thickness trends for minimum (Hmin) and maximum (Hmax) depths in lakes of the Kola segment of the Baltic crystalline shield (a), coastal plains of the Barents Sea (b) and the western slope of the Ural mountain country (c).

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6. Fig. 5. Calculated intra-annual dynamics of the average water temperature by depth (a), (c), (d) and heat flux through the water-bottom interface (b), (d), (e) for minimum (1) and maximum (2) calculated depths in water bodies of various lake regions: Kola segment of the Baltic crystalline shield (a), (b); Coastal plains of the Barents Sea (c), (d); western slope of the Ural mountain country (d), (e).

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