Selection of ventilation method for deep open-pit mines in the Arctic with regard to variability of meteorological data on atmospheric air

The study focuses on impact exerted by variability of meteorological data on atmospheric air on ventilation quality in deep open-pit gold mines. The change in direction and the increase in velocity of air flow across the pit leads to the enlargement of dead-air spaces and worsens the air quality in the pit. Modeling of velocity and temperature fields in the pit should use Ansys Fluent in combination with Minitab for interpreting data of atmospheric air statistics. The objective of the research is to predict probability of recirculation zones in the pit under varied meteorological data on atmospheric air. For estimating specifics of open-pit mine atmosphere, it is sufficient to perform mathematical aerodynamics modeling. The methodology of the aerodynamics modeling with regard to the open pit geometry, and the wind flow temperature, velocity and direction is proposed. The zones of air flow recirculation appear to be typical of all test meteorological conditions of open air and deteriorate natural ventilation of open pits. It is possible to enhance ventilation efficiency of open-pit mines by advanced prediction of probable recirculation zones depending on variation in meteorological data of open air and by selecting the most favorable periods to implement production processes accompanied with essential emissions of dust and gaseous substances. The method of aerodynamics control in open pit mines is proposed, and its application efficiency is assessed.

Gendler S. G., Borisovsky I. A. Selection of ventilation method for deep open-pit mines in the Arctic with regard to variability of meteorological data on atmospheric air. MIAB. Mining Inf. Anal. Bull. 2022;(8):38-55. [In Russ]. DOI: 10.25018/0236_1493_2022_8_0_38.

S.G. Gendler¹, Dr. Sci. (Eng.), Professor, e-mail: sgendler@mail.ru, ORCID ID: 0000-0002-7721-7246,
I.A. Borisovsky¹, Graduate Student, e-mail: s195058@stud.spmi.ru, ORCID ID: 0000-0002-8560-5863,
¹ Saint-Petersburg Mining University, 199106, Saint-Petersburg, Russia.

S.G. Gendler, e-mail: sgendler@mail.ru.

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