Please use this identifier to cite or link to this item: http://repositsc.nuczu.edu.ua/handle/123456789/22232
Title: Development and Implementation of an Algorithm for Predicting the Intensity of Sorption of Hazardous Gaseous Materials
Authors: Кулаков, Олег Вікторович
Катунін, Альберт Миколайович
Лесько, Андрій Сергійович
Мельниченко, Андрій Сергійович
Keywords: accident
algorithm
deposition
monitoring
hazardous gaseous materials
forecasting
sorption
Issue Date: 25-Sep-2024
Publisher: Trans Tech Publications Ltd
Citation: Solid State Phenomena, ISSN: 1662-9779, 2024, Vol. 364, pp 101-112. DOI: 10.4028/p-QJRa2J
Abstract: An algorithm for predicting the intensity of sorption of gaseous materials released into the atmosphere as a result of an accident is proposed. The algorithm consists of three hierarchical levels: monitoring the parameters of gaseous material emission, predicting the consequences of gaseous material emission before and after sorption, and making a management decision. The first hierarchical level includes 4 blocks: obtaining information from the chemical reconnaissance group and the facility representative on the type, amount of hazardous gaseous materials, release intensity and scale of the accident; obtaining information from the hydrometeorological service on temperature, atmospheric pressure, wind direction and speed in the accident area; processing the information received; information on the availability of forces and means for sorption of hazardous gaseous materials. The second hierarchical level also includes 4 blocks: readiness of forces and means for sorption of hazardous gaseous materials; calculation with sorption; calculation without sorption; determination of the boundaries of the chemical damage zone according to the established criteria. At the third hierarchical level, there is 1 block: making a management decision. The software implementation of the proposed algorithm was carried out. The use of the developed algorithm and its software implementation will increase the speed and accuracy of predicting the consequences of the release of hazardous gaseous materials in an accident.
URI: http://repositsc.nuczu.edu.ua/handle/123456789/22232
ISSN: 1662-9779
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