scholarly journals WATER RESOURCES OF THE ARCTIC REGION – INDICATOR OF ENVIRONMENTAL POLICY, STATE OF THE TERRITORY, FACTOR OF ECONOMIC DEVELOPMENT

Author(s):  
T.P. Skufina ◽  
N.A. Kashulin
Author(s):  
Anna Borisovna Nikolaeva ◽  

The Arctic is the richest and at the same time the most difficult region to develop in the world. Exploration and exploitation of its deposits are inevitable for Russia and mankind as a whole. The Arctic region is characterized by extreme nature-climatic conditions, with a rather low level of economic development and remoteness from industrial centers, a low level or lack of any infrastructure as well as by instability of the ecological system to anthropogenic impact and a long recovery period. Since the potential of the resources currently being developed will be exhausted within several decades, and the world economies are not yet ready for a full transition to alternative energy resources, it is necessary to search for and develop new hydrocarbon reserves that determines the relevance of the study.The aim of the study is to identify the main problems arising when exploiting hydrocarbons in the Arctic region. The set of problems identified predetermines an integrated approach to their solutions. In this case, it is about reforming legislation, increasing funding, and attracting new participants in the international cooperation. Since the export of oil and gas is traditional for the Russian Federation, exploitation of hydrocarbons in the region is a prerequisite for the further economic development of the country. A state policy aimed at development and improvement of new technologies, reducing environmental risks, and deep scientific research of the Arctic, is needed. The method of expert assessment was used, which is applied for solving complex tasks with lack of information, and impossibility of mathematical formalization of the solution process. The basis for the application of this method is the possibility and ability of experts to assess the importance of the problem under study and development prospects for a certain research direction. The expert assessments were highlighted during the study and analysis of the literature.


2018 ◽  
Vol 9 (3) ◽  
pp. 605 ◽  
Author(s):  
Sergey Anatolievich AGARKOV ◽  
Sergey Yurievich KOZMENKO ◽  
Anton Nikolaevich SAVELIEV ◽  
Mikhail Vasilyevich ULCHENKO ◽  
Asya Aleksandrovna SHCHEGOLKOVA

In the conditions of price reduction in the world energy market, the issue of determining the priorities of the economic development of hydrocarbons in the Arctic Region of the Russian Federation (RF) becomes highly relevant. The article is aimed at developing an optimal model for the spatial organization of energy resources in the Arctic Region. The expert elicitation procedure was used to determine the efficiency indicators for the economic development of the oil-and-gas-bearing areas in the Arctic Region and clusterization of these areas was carried out in terms of economic efficiency. Based on the factor analysis, the degree of influence of efficiency indicators on the economic development of the oil and gas bearing areas of the region was determined and, an integrated performance indicator of economic development for oil-and-gas-bearing areas for each cluster was calculated with regard to the factor loadings. A 3-D model was developed for the organization of economic development of oil and gas in the Arctic Region. The 3-D model became the basis for determining the priorities for territorial exploration, development and production of hydrocarbons in terms of their economic efficiency, taking into account the trends in the development of the world energy market and break-even fields. A set of recommendations was developed to improve the efficiency of the spatial organization of economic development of oil and gas in the Arctic Region. The implementation of the proposed measures can contribute to the development of the oil and gas industry in the region, its socio-economic development and the long-term sustainability of Russia's energy security.


2017 ◽  
Vol 1 (01-02) ◽  
pp. 16-64 ◽  
Author(s):  
Eva-Maria Svensson

Gender equality is a fundamental political and legal obligation for most of the world’s states. The public governance of the Arctic, performed by democratic institutions established by the Arctic states, has the obligation to meet the needs of all. This article presents an analysis on whether the structure of the governance meets the needs of all equally. The analysis of the organisation’s rhetoric and activities shows what interests and whose which are maintained, as well as those who are not prioritised. Gender equality and other social sustainable considerations are treated as reactive in relation to economic development. Gender equality, as well as equality between different ethnic groups, have not, so far, been prioritised within the public governance of the Arctic despite far-reaching obligations for the concerned states.


2018 ◽  
Vol 35 (4) ◽  
pp. 110-113
Author(s):  
V. A. Tupchienko ◽  
H. G. Imanova

The article deals with the problem of the development of the domestic nuclear icebreaker fleet in the context of the implementation of nuclear logistics in the Arctic. The paper analyzes the key achievements of the Russian nuclear industry, highlights the key areas of development of the nuclear sector in the Far North, and identifies aspects of the development of mechanisms to ensure access to energy on the basis of floating nuclear power units. It is found that Russia is currently a leader in the implementation of the nuclear aspect of foreign policy and in providing energy to the Arctic region.


2020 ◽  
Vol 33 (5) ◽  
pp. 480-489
Author(s):  
L. P. Golobokova ◽  
T. V. Khodzher ◽  
O. N. Izosimova ◽  
P. N. Zenkova ◽  
A. O. Pochyufarov ◽  
...  

2011 ◽  
Author(s):  
Chimerebere Onyekwere Nkwocha ◽  
Evgeny Glebov ◽  
Alexey Zhludov ◽  
Sergey Galantsev ◽  
David Kay

2021 ◽  
Vol 13 (10) ◽  
pp. 1884
Author(s):  
Jingjing Hu ◽  
Yansong Bao ◽  
Jian Liu ◽  
Hui Liu ◽  
George P. Petropoulos ◽  
...  

The acquisition of real-time temperature and relative humidity (RH) profiles in the Arctic is of great significance for the study of the Arctic’s climate and Arctic scientific research. However, the operational algorithm of Fengyun-3D only takes into account areas within 60°N, the innovation of this work is that a new technique based on Neural Network (NN) algorithm was proposed, which can retrieve these parameters in real time from the Fengyun-3D Hyperspectral Infrared Radiation Atmospheric Sounding (HIRAS) observations in the Arctic region. Considering the difficulty of obtaining a large amount of actual observation (such as radiosonde) in the Arctic region, collocated ERA5 data from European Centre for Medium-Range Weather Forecasts (ECMWF) and HIRAS observations were used to train the neural networks (NNs). Brightness temperature and training targets were classified using two variables: season (warm season and cold season) and surface type (ocean and land). NNs-based retrievals were compared with ERA5 data and radiosonde observations (RAOBs) independent of the NN training sets. Results showed that (1) the NNs retrievals accuracy is generally higher on warm season and ocean; (2) the root-mean-square error (RMSE) of retrieved profiles is generally slightly higher in the RAOB comparisons than in the ERA5 comparisons, but the variation trend of errors with height is consistent; (3) the retrieved profiles by the NN method are closer to ERA5, comparing with the AIRS products. All the results demonstrated the potential value in time and space of NN algorithm in retrieving temperature and relative humidity profiles of the Arctic region from HIRAS observations under clear-sky conditions. As such, the proposed NN algorithm provides a valuable pathway for retrieving reliably temperature and RH profiles from HIRAS observations in the Arctic region, providing information of practical value in a wide spectrum of practical applications and research investigations alike.All in all, our work has important implications in broadening Fengyun-3D’s operational implementation range from within 60°N to the Arctic region.


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