Fuzzy-Logic Analysis of the State of the Atmosphere in Large Cities of the Industrial Region on the Example of Rostov Region
| Autor: | V. Sakharova Lyudmila, G. Vovchenko Natalia, B. Stryukov Michael, V. Domakur Olga |
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| Rok vydání: | 2018 |
| Předmět: |
Pollutant
Pollution Index (economics) Meteorology media_common.quotation_subject Air pollution Major stationary source 020206 networking & telecommunications 02 engineering and technology medicine.disease_cause Fuzzy logic Frequency of exceedance Atmosphere 0202 electrical engineering electronic engineering information engineering medicine Environmental science 020201 artificial intelligence & image processing media_common |
| Zdroj: | 13th International Conference on Theory and Application of Fuzzy Systems and Soft Computing — ICAFS-2018 ISBN: 9783030041632 |
| DOI: | 10.1007/978-3-030-04164-9_93 |
| Popis: | The technique of forming a complex estimation of the state of the atmosphere in the industrial region, based on the aggregation of time series of statistical data through a system of fuzzy inference. The calculation of the estimate uses heterogeneous indicators of three groups: the dynamics of atmospheric pollution in the region, the level of atmospheric pollution in the region and the dynamics of polluting emissions into the air, with each group built its own comprehensive assessment. In turn, estimates of the dynamics of air pollution in the region and the level of air pollution in the region are formed by aggregation of the relevant estimates for the major cities of the region. The calculation of the assessment of the dynamics of the atmosphere pollution in a single city carried out on the basis of time series statistical data characterizing the pollution of air with various chemical contaminants (average concentration, standard index, the highest frequency of exceedance for each impurity). The estimation of the level of atmospheric pollution in a particular city is made on the basis of aggregation of statistical data on the total standard index, the highest repeatability and the index of atmospheric pollution for the current year. Statistical data on emissions of pollutants into the air from stationary sources by types of economic activity were used to estimate the dynamics of polluting emissions into the air. Standard fuzzy [0, 1] – classifiers are used for aggregation of indicators. |
| Databáze: | OpenAIRE |
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