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

Standard

Methods for Studying the Sensitivity of Air Quality Models and Inverse Problems of Geophysical Hydrothermodynamics. / Penenko, V. V.; Penenko, A. V.; Tsvetova, E. A. и др.

в: Journal of Applied Mechanics and Technical Physics, Том 60, № 2, 01.03.2019, стр. 392-399.

Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование

Harvard

Penenko, VV, Penenko, AV, Tsvetova, EA & Gochakov, AV 2019, 'Methods for Studying the Sensitivity of Air Quality Models and Inverse Problems of Geophysical Hydrothermodynamics', Journal of Applied Mechanics and Technical Physics, Том. 60, № 2, стр. 392-399. https://doi.org/10.1134/S0021894419020202

APA

Penenko, V. V., Penenko, A. V., Tsvetova, E. A., & Gochakov, A. V. (2019). Methods for Studying the Sensitivity of Air Quality Models and Inverse Problems of Geophysical Hydrothermodynamics. Journal of Applied Mechanics and Technical Physics, 60(2), 392-399. https://doi.org/10.1134/S0021894419020202

Vancouver

Penenko VV, Penenko AV, Tsvetova EA, Gochakov AV. Methods for Studying the Sensitivity of Air Quality Models and Inverse Problems of Geophysical Hydrothermodynamics. Journal of Applied Mechanics and Technical Physics. 2019 март 1;60(2):392-399. doi: 10.1134/S0021894419020202

Author

Penenko, V. V. ; Penenko, A. V. ; Tsvetova, E. A. и др. / Methods for Studying the Sensitivity of Air Quality Models and Inverse Problems of Geophysical Hydrothermodynamics. в: Journal of Applied Mechanics and Technical Physics. 2019 ; Том 60, № 2. стр. 392-399.

BibTeX

@article{6be02187d40d43b3bca5b43108b40c73,

title = "Methods for Studying the Sensitivity of Air Quality Models and Inverse Problems of Geophysical Hydrothermodynamics",

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.",

keywords = "air quality model, ensemble of sensitivity functions, inverse problems, mathematical simulation, monitoring data, Novosibirsk agglomeration, source estimation, variational methods",

author = "Penenko, {V. V.} and Penenko, {A. V.} and Tsvetova, {E. A.} and Gochakov, {A. V.}",

note = "Publisher Copyright: {\textcopyright} 2019, Pleiades Publishing, Ltd.",

year = "2019",

month = mar,

day = "1",

doi = "10.1134/S0021894419020202",

language = "English",

volume = "60",

pages = "392--399",

journal = "Journal of Applied Mechanics and Technical Physics",

issn = "0021-8944",

publisher = "Maik Nauka-Interperiodica Publishing",

number = "2",

}

RIS

TY - JOUR

T1 - Methods for Studying the Sensitivity of Air Quality Models and Inverse Problems of Geophysical Hydrothermodynamics

AU - Penenko, V. V.

AU - Penenko, A. V.

AU - Tsvetova, E. A.

AU - Gochakov, A. V.

PY - 2019/3/1

Y1 - 2019/3/1

N2 - 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.

AB - 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.

KW - air quality model

KW - ensemble of sensitivity functions

KW - inverse problems

KW - mathematical simulation

KW - monitoring data

KW - Novosibirsk agglomeration

KW - source estimation

KW - variational methods

UR - http://www.scopus.com/inward/record.url?scp=85066611874&partnerID=8YFLogxK

U2 - 10.1134/S0021894419020202

DO - 10.1134/S0021894419020202

M3 - Article

AN - SCOPUS:85066611874

VL - 60

SP - 392

EP - 399

JO - Journal of Applied Mechanics and Technical Physics

JF - Journal of Applied Mechanics and Technical Physics

SN - 0021-8944

IS - 2

ER -

ID: 20365882