Abstract
Permafrost lies close to the surface of the day, therefore, it is able to quickly respond to modern climatic changes. Under these conditions, the goal of understanding the evolution of permafrost in the near future requires monitoring studies of the current state of permafrost and, first of all, its thermal conditions. In this work, based on the experience of many years of research at the Melnikov Permafrost Institute of Siberian Branch of the Russian Academy of Science (MPI SB RAS), methodological and technical issues of equipping experimental sites for monitoring the thermal state of permafrost in Eastern Siberia are considered. It is demonstrated that the reliability of permafrost thermal monitoring depends not only on measurement devices used but also on proper borehole system design and adequate choice of a method for active-layer thickness measurement depending on soil composition and properties. The use of protective tubes significantly lengthens the life of sensors in soils. A method of protecting the loggers from surface waters is recommended.
Highlights
Documenting the current state of permafrost is increasingly important because of the observed global changes in climatic conditions
GlobalTerrestrial Network for Permafrost (GTN-P) is the primary international programme concerned with monitoring permafrost parameters
In Russia, high-precision measurement systems for permafrost applications have been developed at several research and engineering centres, such as the Research
Summary
Documenting the current state of permafrost is increasingly important because of the observed global changes in climatic conditions. Observations of recent years indicate the ongoing degradation of permafrost in many regions of the world [1,2]. This implies certain risks for the living of the population and the stability of engineering structures in the permafrost zone. A key priority for this is to establish and maintain ground thermal monitoring which involves long-term continuous observations of the thermal parameters within the layer of annual temperature variations.
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