Russian Federation
Schmidt Institute of the Physics of the Earth Russian Academy of Sciencies
Moscow, Russian Federation
from 01.01.2007 until now
Russian Federation
from 01.01.2021 until now
Russian Federation
Maikop State Technological University
National Research University of Electronic Technology
Moscow, Russian Federation
Moscow, Russian Federation
from 01.01.2023 until now
Lomonosov Moscow State University
from 01.01.2018 until now
Russian Federation
Lomonosov Moscow State University
GRNTI 37.00 ГЕОФИЗИКА
GRNTI 38.00 ГЕОЛОГИЯ
OKSO 05.00.00 Науки о Земле
BBK 26 Науки о Земле
TBK 63 Науки о Земле. Экология
BISAC SCI SCIENCE
The Arctic Zone of the Russian Federation is characterized by the rapid growth of the mining industry, aimed at the extraction of oil, gas, coal, and ores, including rare earth metals. Railways are essential in the transportation of these resources to different regions of Russia for processing and export. Part of the cargo delivery is performed via the Arctic ports connected to the railway network. Rapid climate change, including regional climate warming, is among the compromising factors for the operation of the Arctic transport infrastructure. System analysis of climatic processes and assessment of potential hazards that they may induce requires adequate geoinformation support. This paper presents the results of spatio-temporal variability analysis of various hydrometeorological parameters for selected railway mainlines within the Arctic region. For this purpose, a new geoinformation method based on the Hovmöller diagrams was elaborated. This tool is useful for representing climate dynamics along the specified railway mainlines over several decades. It allows us to determine railway sections affected by anomalous climatic conditions on the variable time scale. The presented Hovmöller diagrams proved to be an efficient instrument for the regional climate change representation. It might be quite useful for railway infrastructure maintenance, planning, operation, and adaptation.
Climate change, Russian Arctic, railway development, hydrometeorological parameters, GIS, Hovmöller diagrams, railway mainline analysis, transportation
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