scholarly journals Quantification and Risk Assessment of Hydrocarbon Resources Development Projects in the Arctic Region

2017 ◽  
Vol 12 (4) ◽  
pp. 168-195
Author(s):  
Mikhail N. Dudin ◽  
◽  
Nikolai V. Lyasnikov ◽  
Oleg D. Protsenko ◽  
Valery A. Tsvetkov ◽  
...  
2019 ◽  
Vol 25 ◽  
pp. 5-19
Author(s):  
María J. Gunnarsdóttir ◽  
Sigurður Magnús Garðarsson ◽  
Hrund Ólöf Andradóttir ◽  
Alfreð Schiöth

Climate change is expected to have impact on water supply and drinking water quality in Iceland. Foremost there are three influential weather-related factors; increase in temperature; rise in sea level; and seasonal and regional change in precipitation in both quantity and intensity. In this study international and local reports and articles were analyzed for expected impact on the water resource with emphasis on the northern and the arctic region. Water quality risk factors were analyzed based on surveillance data of the water supplies from the Local Competent Authorities. Preliminary risk assessment of landslides and flooding was performed in one surveillance area in northern Iceland.


2018 ◽  
Vol 9 (1) ◽  
pp. 187
Author(s):  
Denis Victorovich PARSHUKOV ◽  
Victor Nikolayevich NEVZOROV ◽  
Marina Anatolevna YANOVA ◽  
Elena Nikolayevna OLEYNIKOVA ◽  
Igor Victorovich MATSKEVICH

The Arctic region and the Far North have an important strategic significance for the Russian Federation. These territories possess vast resources of mineral raw materials, as well as significant volumes of plant, water and animal resources. The industrial development of the Arctic region and the northern territories has considerable economic perspectives but it creates also external effects (externalities) for ecosystems and the local indigenous population. The purpose of this research is to determine the perspectives of the commercial development and processing of plant and animal raw materials in the areas of residence of the indigenous small-numbered peoples of the north of Krasnoyarsk Krai. The object of the research is the Arctic region and the northern territories of Krasnoyarsk Krai. The main types of plant and animal raw materials are berries, mushrooms, pine nuts, as well as meat and velvet of the reindeer. As a result of the research, the economic estimation of the operational reserves of certain types of forest edible resources was given. The potential volume of the domestic and wild reindeer velvet procurement reserve in Krasnoyarsk Krai was determined. The possible volumes of output of derivative products of plant and animal raw materials of the north of Krasnoyarsk Krai were calculated. The general estimation of the investment attractiveness of the branch was given. When revealing the perspectives of biological resources development, the main specific problems of irrational use of natural resources, access to the labor resources, institutional environment of hunting and cropping business were distinguished.


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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