期刊名称：Eastern-European Journal of Enterprise Technologies
印刷版ISSN：1729-3774
电子版ISSN：1729-4061
出版年度：2020
卷号：2
期号：10
页码：6-12
DOI：10.15587/1729-4061.2020.200140
语种：English
出版社：PC Technology Center
摘要：The use of estimation of the values of the uncertainty function to identify hazardous states of an arbitrary atmospheric pollution vector is considered. At the same time, it is proposed to estimate the uncertainty function in a fixed-width window moving along the trajectory of the state vector. This allows not only identifying the occurrence of hazardous states of atmospheric pollution, but also determining their radial velocity relative to the monitoring post. Zero radial velocity of hazardous states of atmospheric pollution allows identifying current states of no pollution dispersion in the atmosphere. These states turn out to be especially dangerous, since they lead to the accumulation of pollution and an increase in their concentration in the atmosphere. Verification of the possibility of using the uncertainty function to identify hazardous states of the atmospheric pollution vector was carried out using experimental data. At the same time, formaldehyde, ammonia and carbon monoxide were considered as hazardous components of the state vector of atmospheric pollution. The verification results generally indicate the possibility of using the uncertainty function to identify hazardous states of the atmospheric pollution vector. The use of uncertainty function is found to be invariant with respect to the irregularity of recording of atmospheric pollution at stationary monitoring posts. It is shown that the use of uncertainty function enables the identification of hazardous states characterized not only by exceeding the maximum permissible concentrations, but also by the zero radial velocity relative to the monitoring point. It is experimentally found that in order to identify hazardous states of atmospheric pollution, the window length should be from 4 to 8?readings.
