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Нур-Султан (Казахстан) 27 августа 2021

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The ratio between the maximum energy values ​​(summer) and its minimum values ​​(spring, late autumn, winter) was 3. Examples of the profiles of eastern (U) and northern (V) components of the current velocity (a), the shear hodograph (b) and the fragment of the profile of the shear components (c). Hydrology and hydrodynamics of the shelf zone of the Black Sea (on the example of the southern coast of Crimea).

Variability of surface water salinity in the coastal zone of the southern coast of Crimea. Coastal upwelling in the Gelendzhik region of the Black Sea: relationship with wind and current. Internal waves on the Caucasian and Crimean shelves of the Black Sea (according to summer-autumn observations of 2011-2016).

Internal waves on the Black Sea shelf in the area of ​​the Heraclea Peninsula: modeling and observation.

Fig. 1. Map of stations in cruises of Marine Hydrophysical Institute in 2016–2019
Fig. 1. Map of stations in cruises of Marine Hydrophysical Institute in 2016–2019

ГЕОИНФОРМАЦИОННОЕ И КАРТОГРАФИЧЕСКОЕ ОБЕСПЕЧЕНИЕ

ЭКОЛОГИЧЕСКИХ, ЭКОНОМИЧЕСКИХ И СОЦИАЛЬНЫХ АСПЕКТОВ УСТОЙЧИВОГО РАЗВИТИЯ ТЕРРИТОРИЙ

OF ECOLOGICAL, ECONOMIC AND SOCIAL

ASPECTS OF SUSTAINABLE DEVELOPMENT OF TERRITORIES

Геоинформационная поддержка изучения климатических изменений

GIS Support for clImate chanGe StudIeS

The functionality of the web application allows users, without GIS skills, to explore climate change scenarios themselves, this possibility is of practical value to the scientific and educational community, to policy makers in the field of climate change and water resource management. 3 RSE "KAZHYDROMET", Ministry of Ecology, Geology and Natural Resources of the Republic of Kazakhstan, 11/1 Mangilik Yel Avenue, 010000, Nur-Sultan, Kazakhstan,. The authors express their deep gratitude to the software developers of the web application "Climatic Changes of Kazakhstan" I.A.

Hazardous convective weather events (HCWE), such as heavy precipitation, large hail, thunderstorms and tornadoes, are one of the essential sources of natural emergencies in Russia. The territory of the Central Federal District (CFD) is characterized by the highest population density in Russia. In this study we consider the structure and information content of the HCWE GIS database for the CFD territory.

Iskimii caasaa kuusa deetaa HCWE naannoo Aanaa Federaalaa Giddugaleessaa. Pages Businesses Media/News Company Iskiimii Ministeera Fayyaa fi Tajaajila Namaa Ameerikaa. XIINXALA PALEOCLIMATIC UUMAMA DHAGAA PALEOGLACIAL FI DHAABBATAA GAARA MUNKU-SARDYK (EASTERN SAYAN) ABSTRACT.

Due to the constant movement of the current, at the exit to the Beli Irkut river, it ends with a "living" scree, dangerous for passing tourists. Reconstruction of the paleoclimatic curve and the position of the highland geocryological levels of relief development in the Munku-Sardyk area: 1–3 levels of relief development: 1–. Paleoclimate: Global temperature change in the Holocene; b - the climate of the last millennium, determined by the analysis of historical material [Imbrie, Imbrie, 1986].

10 - kutaa gubbaa konkolaataa (modern scree); duubni fakkii iddoo Landsat fi Quick Bird Fakkii iddoo Landsat fi Quick Bird fayyadamuuf salphaa (10). 8 – kutaa daandii balaa guddaa qabu laga Beeliy Irkut keessatti; 9 – bishaan kuufamaa laga Beeliy Irkut fi laga Ledynoy; 10 – daangaa bosona. Gumaacha Gareen Hojii 1 Gabaasa Madaallii Afraffaa Paanaalii Mootummoota Gidduu Jijjiirama Qilleensaa.

Results of 100-year observations of glacial geosystem dynamics in the Munku-Sardyk massif. Geophysical studies of the internal structure of glacial-permafrost rock formations of the Central Altai.

Fig. 1. Cartographic interface of the web application “Kazakhstan Climate Change”
Fig. 1. Cartographic interface of the web application “Kazakhstan Climate Change”

Kravtsova 1 , Olga V. Tutubalina 2

Climate- and human-induced land cover change and its effects on the permafrost system in the Lower Yenisei River of the Russian Arctic. Explanatory note on the ecological-geographic scientific reference map of the Russian Federation on a scale of. Study of the urban heat island phenomenon under polar night conditions using experimental measurements and remote sensing on the example of Norilsk.

Biogeochemical assessment of forest ecosystems in the zone of influence of the Norilsk industrial complex. State report "On the state and protection of the environment in the Krasnoyarsk Territory in 2003". The dynamics of Siberian larch drying in the zone of influence of technogenic emissions from enterprises of the Norilsk industrial region.

Monitoring the condition of forests in the conditions of aerotechnogenic impact of the Norilsk industrial region. The use of GIS for assessing the condition of terrestrial ecosystems of the Norilsk industrial region. Contamination of snow cover in the zone of influence of enterprises of the Norilsk industrial region.

Ecological and functional assessment of the condition of the soil in the zone of aerotechnogenic impact of the Norilsk industrial complex. Characteristics of natural ecosystems and the main destabilizing factors of northern Central Siberia. Anthropogenic influence of the enterprises of the Norilsk industrial region on the vegetation cover of the tundra and forest tundra.

About the impact of weather and climate on the sustainability and development of the economy. For the summer season, fundamental differences in the characteristics of the spatial variability of LST and daytime air temperature are revealed. The parameters of the ecosystem service “Cooling effect” (supply and demand) are expressed quantitatively as the difference between the surface temperatures and the maximum comfort temperature for the summer period (23 ℃) for the mathematical regression model of the process.

The cells (bins) of the constructed hexagonal grid were selected as operational research units. As a result of the study, the main factors affecting the temperature distribution have been identified.

Fig. 1. Map of the vegetation state in the Noril’sk region compiled through hybrid classification  of a 1995 Landsat TM image on the basis of 1997–98 field data
Fig. 1. Map of the vegetation state in the Noril’sk region compiled through hybrid classification of a 1995 Landsat TM image on the basis of 1997–98 field data

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Fig. 3. Salinity on the sea surface according to modeling data  for southward (a) and northward (b) wind
Fig. 5. Visualization of map objects on the example of bays
Fig. 2. Temporal variability of the core depth, upper and lower boundaries of the thermocline
Fig. 5. An example of the variability of the vertical profile of water temperature during  upwelling (a) and downwelling (b)
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