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  • Mapping urban air pollution using mobile dust meters of the AirExpert Mini series

    Results of field tests of mobile dust meters of the AirExpert series based on optical sensors (OPC-R1 / OPC-N3) at the stationary air monitoring station "Shabolovka" State Environmental Budgetary Institution (GPBU) "Mosekomonitoring", Moscow, equipped with a dust analyzer (TEOM) series 1405 , showed that the measurement accuracy meets the requirements for instruments for measuring the quality of atmospheric air in populated areas. Mapping of atmospheric air pollution in certain areas of the cities of Obninsk, Dubna, St. Petersburg, Kursk, Moscow, Volgograd (2019-2024) was carried out, which made it possible to quickly assess the environmental situation in the study area in real time, thereby detailing the data from stationary monitoring posts.

    Keywords: mobile dust meters, monitoring, reference device, measurement accuracy, pollution mapping, hyperlocal monitoring

  • Comparative analysis of the designs of dust settling chambers for steel furnace emissions purification systems

    The main designs of dust settling chambers of metallurgical enterprises are considered, an analysis is given from the point of view of the type of metallurgical furnaces, their power, and schemes for removing gases from them to gas cleaning equipment. The movement of gas flow in chambers of various designs was studied using the SolidWorks software product with the FlowSimulation application, which made it possible to establish the behavior of the gas-air flow depending on the design of the dust settling chamber.

    Keywords: dust settling chambers, steel melting furnace, solid particles, modeling, gas-air flow, bag filter, gas exhaust path

  • On the issue of increasing the reliability of assessing the quality of the air environment of an urbanized area

    The possibility of increasing the reliability of assessing air pollution through the use of probabilistic methods is shown. Evaluation of quality indicators on a quantitative basis made it possible to find an error of the first and second kind in assessing the quality of the atmosphere. Based on the Bayesian approach, dependencies were obtained for estimating and predicting atmospheric pollution in the area of ​​a city that does not have a stationary post, based on data from stationary posts in other areas.

    Keywords: atmosphere quality, reliability of the estimate, probabilistic methods, quantitative characteristic, error of the first and second kind, Bayesian approach, a priori probability, posterior probability, likelihood of a quantity