Methods for Studying the Sensitivity of Air Quality Models and Inverse Problems of Geophysical Hydrothermodynamics

V. V. Penenko, A. V. Penenko, E. A. Tsvetova, A. V. Gochakov

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)392-399
Number of pages8
JournalJournal of Applied Mechanics and Technical Physics
Volume60
Issue number2
DOIs
Publication statusPublished - 1 Mar 2019

Keywords

  • air quality model
  • ensemble of sensitivity functions
  • inverse problems
  • mathematical simulation
  • monitoring data
  • Novosibirsk agglomeration
  • source estimation
  • variational methods

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