This article analyzes the powerful Ilin-Tas earthquake that occurred in the Chersky Range system in the territory of the Republic of Sakha (Yakutia) in 2013. The mountain system of the Chersky Range system is confied to the Chersky seismotectonic zone, which is part of the Arctic-Asian seismic belt separating the Eurasian and North American lithospheric plates in Northeast Asia. The earthquake magnitude at the epicenter was 9.0. Geophysical filds were used as a material to clarify the structural-tectonic features of the study area and their relationship with seismicity. Involving the data on spatial distribution of anomalies of magnetic and gravity filds made it possible to detail the parameters of the position of the Ilin-Tas fault, where the epicentre of the Ilin-Tas earthquake originated. This fault traces between the Indigirka and Kolyma rivers along the border of the junction of the Moma Range with the Indigiro-Zyryansk depression, and is traced by gradient transition zones from negative to positive values of ΔTa and Δg. The main seismic shock is confied to thickening of Δg isoanomalies, forming a gravitational step, within which gravity values decrease from south to north. The epicentral fild of this earthquake with aftershocks captures the western slope of the Andrey-Tas Range (northwestern flnk of the Moma Range). A qualitative analysis of the geophysical filds in the epicentral region of the earthquake is carried out. Materials of instrumental and macroseismic data, focal mechanism and seismotectonic setting of the focal zone are given in the article. The data obtained as a result of studying the Ilin-Tas earthquake consequences allows to reveal local seismic activity in details and specify seismodanger degree of north-east Yakutia.

The analysis of potential geophysical filds of the central part of the Aldan-Stanovoy shield was carried out. Based on the modern automated program KOSCAD 3D, the following transformations of gravity and magnetic anomalies were carried out: a calculation of statistical and gradient characteristics, two-dimensional energy adaptive fitering, and a calculation of the data correlation coeffient. Based on the results of processing and interpretation of geological and geophysical materials, the block structure of the study area was clarifid and geophysical criteria for the localization of gold mineralization in the central part of the Aldan-Stanovoy shield were identifid.

Currently, the geological fild places special attention on modern technology and computer programs. The article describes the collaboration between the North-Eastern Federal University and LLC «Micromine Rus» aimed at educating students in modern technologies of the mining and geological industry. The article considers the issues of training geological specialists at the Geological Prospecting Faculty of the North-Eastern Federal University with the direct support of Micromine Rus and integrating Micromine Origin & Beyond software into the educational process. Students engaged in geological modeling in the computer class can visualize and understand the geological characteristics and features of deposits, participate in the student league of the international engineering championship «CASE-IN». This allows graduates to acquire digital competencies essential for successful employment and quick adaptation to the industrial process at mining and geological enterprises.

In recent decades, the rapid development of remote sensing technologies has led to the development of various methods for determining the amount of aboveground biomass from satellite images. Regression equations were constructed linking fild estimates of aboveground biomass and vegetation indices obtained by remote sensing methods. Such studies make it possible not only to promptly monitor the state of vast forests, but also to solve the problem of assessing global carbon stocks on the planet. The purpose of the study is to create the foundations for the development of new methods for determining allometric indicators by remote sensing methods. The objectives of the study are to determine using remote sensing technologies (1) the total mass of trees of a forest consisting of n number of plots diffring from each other in the number and type of trees; (2) the total mass of a heterogeneous forest in which there is a certain functional relationship between normalized difference vegetation index (NDVI) and the number of trunks in a certain area; (3) the model relationship between NDVI and such allometric indicators as tree height (H) and crown diameter (CD). Research results: some problems of allometric measurements using remote sensing methods have been solved. A formula has been obtained for calculating the biological mass of trees in the forest using the values of the NDVI in individual forest areas; a similar problem for the case of a functional relationship between NDVI and the number of trunks in individual forest areas; the formula of the model relationship between NDVI and the product of such allometric indicators as tree height and crown diameter is obtained.

Long-term expeditionary studies of the Geography Faculty of Lomonosov Moscow State University of the Arctic coast of Russia (1969 – 2015) have provided extensive material on hydrology, channel morphodynamics and geomorphology of the estuaries of large rivers from the Northern Dvina to the Kolyma. The joint work of the Moscow State University and the M. K. Ammosov North-Eastern Federal University made it possible to signifiantly expand the geography of research to the coasts of the Chukchi and Bering Seas. Based on the analysis of geological and geomorphological data and an array of published and archival materials, it was possible to establish patterns and specifi features of coastal and estuarine processes in the fial phase of stabilization of the post-glacial ocean transgression. Over the past 7-5 thousand years, floding of low-lying hilly coastal plains, river valleys and fjords has occurred. The active impact of the wave activity of the sea led to the erosion of the upper part of the underwater slope, the restructuring of its profie and the retreat of accumulative forms towards the land and the creation of modern outlines of the coastline. The sections of the coast extended into the sea, composed by a thickness of loose quaternary sediments, were partially eroded by waves, and sediments were involved in longitudinal and transverse movements, forming braids and embankments, which led to a general alignment of the coastline. Currently, in conditions of rising sea levels, the general trend towards the restructuring of the underwater slope and the coastal zone persists and can be extremely dangerous for coasts composed of strongly icy sandy-loamy alluvial-lacustrine deposits. A further increase in global temperature will signifiantly soften the climate of the Arctic coasts, cause the degradation of permafrost, thawing of underground ice and accelerate the process of retreat of coastal abrasion ledges, the sea edge of river deltas. Taking into account the regional geological and geomorphological features of the coasts of the Chukchi and Bering Seas, it should be expected that a possible rise in sea level will lead to thawing and degradation of permafrost rocks and vein ice.

Based on 7,000-year tree-ring chronologies for the Pinus aristata from the tree line of White Mountains and Great Basin of North America (Ferguson’s scale), and Larix sibirica from the polar forest edge on Yamal Peninsula (Northern Eurasia, Khantemirov’s scale) reconstructed the Holocene section from its climatic optimum to the present day. Mathematically precise global rhythm, which repeat three times on charts of dendrochronological scales with a frequency in 2,600 years, are revealed. The relationship of the stem growth with flctuations in level of the World Ocean, Caspian Sea and Arctic sea ice, as well as the development of global droughts, has been determined.

Regularities of the climate change, synchronously recorded in ultra-long dendroscales of two continents of the Northern Hemisphere by astronomically accurate rhythm in 2,600 years, most reliably reflct the Earth’s climate in recent millennia and provide the only key to its prediction in future.

For the purposes of monitoring the state of forest ecosystems, it is most effctive to use the capabilities of remote methods. Fragments with an area of 250 km2 (scale 1:5000) were identifid on Landsat multispectral satellite images (time series of summer images for 1995, 2000, 2004, 2008, 2013, 2016) of the Olyokminsky State Nature Reserve. Then polygons were saved at three levels of segmentation: 4, 16, 64 with the scales of 1:2500, 1:1250, 1:625. When deciphering, an unmanaged classifiation of polygons was carried out using the ISODATA method (Iterative Self-Organizing Data Analysis Technigue) into 2, 4, 10 classes. Distribution curves for the values of the forest cover index for polygons of the 3rd level of segmentation were constructed. The results of classifiation into 4 classes were used to calculate the thematic pixel diffrence. According to the classification results for 4.10 classes, statistical processing was carried out with the calculation of the diffrence and similarity indicators of polygons, the dispersion of the general population and the Fisher test (F-test). A method is described for determining the disturbance of ecosystems and their restoration from the distribution curves of the forest cover index. The results of the change in the dispersion of the general population and the F-test at diffrent levels of segmentation and at diffrent stages of forest restoration are considered. The features of the transition between three levels of self-similarity (scaling) of multifractal structures as forests are restored are determined.

Mean annual air temperature (MAAT) values for the historic (1961 – 1990) and modern (1991 –2020) reference climatic periods, collected from 91 meteorological stations across the Sakha (Yakutia) Republic were used in an evaluation of the performance of several modern reanalysis products. The model error analysis shows GHCN-CAMS to be the best-performing MAAT reanalysis product, with the lowest absolute error, below 0.15°С, and best concordance with observation data. This product can be used as a ‘baseline climate’ in geospatial modeling and future climate forecasts. Its main limitation is monthly temporal resolution. The ERA5-Land product, having higher spatial and temporal resolution, can be used to track changes in climate-related variables between periods, but its absolute MAAT values deviate systematically and non-concordantly from the observed data. Parameters of the linear regression relating ERA5-Land data to observations are shown to be time-dependent, hence such evaluation yields increased uncertainty limiting the applicability of this approach. All reanalysis products underestimate the observed MAAT increase at stations across central Yakutia, which suggests the appearance of stable ‘urban heat islands’ in the recent decades.

The post-Soviet social and economic development of Russia had a multidirectional character. At the same time the importance of smoothed factors of competitiveness, the importance of individual centers and industries increased. Regional measurement of such trends the most frequently discovers the rose sharply gradients of social and economic development, which reflct in the spatial development processes spectrum. Spatial polarization is the cornerstone in this spectrum; it has become an actual trend in the development of the whole country. Whereas its specifis in the west of the country have been researched quite actively, the Russian Far East in this respect has not been actually studied. This article is directed to eliminate this shortcoming. The main problems of socio-economic development of this territory and the process of regionalization specifi to it were preliminarily considered. The regionalization specifi process was discovered through the analysis of sharps in the most socio-economic indicators of the regional centers in the Russian Far East. For evaluating the spatial polarization we used the proprietary technology of four-step evaluation and the fial formula is proposed. The statistical base was the collection “Regions of Russia. Socio-economic Indicators”. The obtained index of spatial polarization was analyzed and conclusions about the specifis of its formation, functioning and sustainability were made. The spatial polarization index was visualized using QGIS cartographical method. As a result, 4 types of regions were identifid by the level of spatial polarization: weakly polarized (2 regions), medium polarized (3 regions), highly polarized (4 regions), maximum polarized (2 regions). Each type was analyzed, the factors and specifi of their creation and functioning were noted. The conclusion about the prevalence of qualitative diffrences between the types and signifiant prospects for further research into spatial polarization was made.

Popular science tourism is a new direction through the understanding of the theoretical concept in Russian and world tourism at the intersection of science and tourism. The relevance of the research: popular science tourism and its directions are reflcted in theoretical and applied publications of domestic and foreign authors. A review of Russian and foreign literature allows us to say with accuracy about the lack of elaboration of the concept of “popular science tourism” not only in Russia, but also around the world [1]. This new direction of tourism will contribute to the economy of the region, will create positive economic and social effcts. A program of youth and student tourism has been launched in Russia, thanks to which young people will be able to travel around the regions of Russia for the purpose of professional development, internships at production facilities, as well as participation in scientifi events and writing scientifi papers. From an early age, schoolchildren can visit industrial enterprises (events, excursions, exhibitions and much more), contributing to science with new projects and ideas. Given the instability of international processes, the economic crisis, and the closure of borders in 2020 associated with the pandemic, the question of which tourism destinations need to be developed and what new product business can offr has become more urgent. The Kirov region has a high tourist potential and a large number of educational resources for the organization of popular science tourism on its territory. The article examines the role of popular science tourism, its impact on the regional economy and the development prospects as a new direction in Russian tourism, which has not received suffient attention until now. Popular science tourism helps young scientists to solve the issue of fiancing scientifi expeditions. The benefi of such a symbiosis of science and travel is that a scientist gets access to the object of his research, and a tourist gets a unique scientifi view of the world, access to the most interesting places on the planet and satisfaction from his personal contribution to science.