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In this paper an attempt has been done to develop this method. We have performed a joint analysis of the data of the daily measurements of the chemical composition of atmospheric aerosols and wind direction. To this end, we used the autumn series of observations made in Samburg in 1998 with the winds of the north-east sector. The joint analysis of the surface wind fields and the data on the chemical composition of atmospheric aerosols allowed us to reveal a number of cases where the exhausts of the contaminants of the Norilsk plant were carried out to the north of Western Siberia, to establish relations between the observed concentrations and the initial exhausts of dominating substances and elements. [ABSTRACT FROM AUTHOR]

Berezovskaya GRES (BGRES), located in the Sharypovsky district of the Krasnoyarsk Territory, is the most powerful coal-fired power station in the Krasnoyarsk region (3 power units of 800 MW each). The power plant has been operating as part of the Unified Energy System of Siberia since 1987, generating 4.6% of its capacity. On February 1, 2016, an accidental fire occurred in the boiler room of power unit No. 3, which caused the large-scale destruction of load-bearing structures and technological equipment. The operation of the power unit was interrupted for carrying out repair and restoration works of unique complexity. For the first time in Russia, during the debris removal and dismantlement of hazardous structural elements, it was decided to set an extensive monitoring program for continuous stress and displacement observations of load-bearing structures to ensure the safety of the personnel involved in the work. The article provides general information on design and organizational solutions for the implementation of the automated structural health monitoring system of the boiler room of the BGRES power unit No. 3. Detailed information on the architecture and topology of the system is given. The instrumentation, the measurement technique, and software solutions are described. Techniques for calculating internal forces in steel beam structures based on vibrating wire strain gauges data are proposed. A method of tiltmeter data processing that allows to distinguish the potential hazardous structural displacements and process these events in automatic mode is suggested. [ABSTRACT FROM AUTHOR]

Increasing the efficiency of remote sensing technologies used to detect forest fires is an urgent problem of fire and environmental safety, the solution of which for such a vast region of the world as Siberia would be of considerable theoretical and practical importance. The purpose of this work is to identify directions for improving one aspect of these technologies, ensuring the detection of forest fires, based on the results of searching for areas of the Earth's surface, the effective temperature of which is increased by at least 70° C – thermal anomalies. To achieve this goal, an analysis of its effectiveness for the conditions of Siberia was carried out based on the results of its application in the period 2012-2020 yrs. Information about fires that took place in Siberia was also used as factual material. The reasons for the "gaps" that arise when forest fires are detected have been studied. Ways to improve its practical efficiency are proposed. Their implementation could be used for better planning of the main activities of the Forest Guard units and the State Fire Service of the Ministry of Emergency Situations of Russia. [ABSTRACT FROM AUTHOR]

© 2000 American Institute of Physics. [ABSTRACT FROM AUTHOR]