Methods for Studying the Sensitivity of Air Quality Models and Inverse Problems of Geophysical Hydrothermodynamics
| Autor: | Vladimir Penenko, A. V. Gochakov, Elena Tsvetova, Alexey Penenko |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Mathematical model
Computer science Mechanical Engineering 02 engineering and technology Inverse problem Parameter space Condensed Matter Physics 01 natural sciences 010305 fluids & plasmas 020303 mechanical engineering & transports 0203 mechanical engineering Mechanics of Materials Position (vector) 0103 physical sciences Applied mathematics Partial derivative Sensitivity (control systems) Air quality index Intensity (heat transfer) |
| Zdroj: | Journal of Applied Mechanics and Technical Physics. 60:392-399 |
| ISSN: | 1573-8620 0021-8944 |
| DOI: | 10.1134/s0021894419020202 |
| Popis: | Variational approach and sensitivity theory methods are used to construct algorithms for solving the problems of environmental forecast and design. When studying the behavior of the model in the parameter space, sensitivity functions are calculated as partial derivatives of the target functionals with respect to the model parameters. The sensitivity functions are used to investigate the properties of mathematical models and solve inverse problems. Using the proposed approach, which involves a model of air quality of the Novosibirsk agglomeration and an algorithm based on an ensemble of sensitivity functions, the inverse problem of estimating the position and intensity of pollution sources is solved. |
| Databáze: | OpenAIRE |
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