Abstract
The paper describes optimization of mathematical models for determining the main characteristics of the source of environmental pollution. A modification of the classical Newton’s method for finding a numerical solution of the constructed mathematical models for identifying the parameters of an environmental pollutant has been developed. A modification of the classical Newton’s method is obtained, which makes it possible to reduce the total number of calculations in the process of determining the main characteristics of the pollution source. A number of software-implemented computational experiments have been carried out for the model for determining the height of the pipe of the pollution source and the concentration of emissions on it, the model for determining the full location of the pipe of the pollution source and the concentration of emissions from the source. The possibility of complete localization of the pollution source in less than 40 measurement iterations using 1 post of the air pollution monitoring system has been established. The proposed method makes it possible to reduce by 3 times the number of simulation iterations for detecting a source of pollution in comparison with classical methods for solving inverse problems during monitoring of air pollution.
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Acknowledgments
The project presented in this article is supported by «Development of a system for monitoring the level of harmful emissions of TPP and diagnosing the equipment of power plants using renewable energy sources on the basis of Smart Grid with their collaboration» (2019–2021, 0119U101859), which is financed by National Science of Ukraine, and «Development of a system for monitoring micro climatic parameters and the air pollution of the ecosystems the Northern Black Sea Coast (2019–2021, 0119U100550), which is financed by the Ukrainian Ministry of Education.
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Zaporozhets, A.O., Khaidurov, V.V. Mathematical Models of Inverse Problems for Finding the Main Characteristics of Air Pollution Sources. Water Air Soil Pollut 231, 563 (2020). https://doi.org/10.1007/s11270-020-04933-z
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DOI: https://doi.org/10.1007/s11270-020-04933-z