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A numerical evaluation of the source identification algorithm for atmospheric chemistry model with the concentrations time series data. / Penenko, Alexey V.; Mukatova, Zhadyra S.

24th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. ред. / Oleg A. Romanovskii; Gennadii G. Matvienko. Том 10833 SPIE, 2018. 108338R (Proceedings of SPIE; Том 10833).

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование

Harvard

Penenko, AV & Mukatova, ZS 2018, A numerical evaluation of the source identification algorithm for atmospheric chemistry model with the concentrations time series data. в OA Romanovskii & GG Matvienko (ред.), 24th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. Том. 10833, 108338R, Proceedings of SPIE, Том. 10833, SPIE, 24th International Symposium on Atmospheric and Ocean Optics - Atmospheric Physics, Tomsk, Российская Федерация, 02.07.2018. https://doi.org/10.1117/12.2504627

APA

Penenko, A. V., & Mukatova, Z. S. (2018). A numerical evaluation of the source identification algorithm for atmospheric chemistry model with the concentrations time series data. в O. A. Romanovskii, & G. G. Matvienko (Ред.), 24th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics (Том 10833). [108338R] (Proceedings of SPIE; Том 10833). SPIE. https://doi.org/10.1117/12.2504627

Vancouver

Penenko AV, Mukatova ZS. A numerical evaluation of the source identification algorithm for atmospheric chemistry model with the concentrations time series data. в Romanovskii OA, Matvienko GG, Редакторы, 24th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. Том 10833. SPIE. 2018. 108338R. (Proceedings of SPIE). doi: 10.1117/12.2504627

Author

Penenko, Alexey V. ; Mukatova, Zhadyra S. / A numerical evaluation of the source identification algorithm for atmospheric chemistry model with the concentrations time series data. 24th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. Редактор / Oleg A. Romanovskii ; Gennadii G. Matvienko. Том 10833 SPIE, 2018. (Proceedings of SPIE).

BibTeX

@inproceedings{a2448c245e0745e3b03de3e70b2c43e6,
title = "A numerical evaluation of the source identification algorithm for atmospheric chemistry model with the concentrations time series data",
abstract = "The algorithm of source identification for atmospheric chemistry transformation models with the measurement data in the form of time series is tested numerical in the scenario with the second generation regional acid deposition model chemical mechanism. The algorithm is based on the sensitivity operator that is constructed from the ensemble of the adjoint equation solutions. This operator allows to apply algorithms for the solution of nonlinear operator equations for the solution of the inverse problem. The objective of the paper is to numerically evaluate the ability of the algorithm to solve the realistic inverse source problems with the mechanism.",
keywords = "adjoint equations ensemble, chemical transformation model, inverse source problem, Newton-Kantorovich method, RADM2, sensitivity operator",
author = "Penenko, {Alexey V.} and Mukatova, {Zhadyra S.}",
year = "2018",
month = jan,
day = "1",
doi = "10.1117/12.2504627",
language = "English",
volume = "10833",
series = "Proceedings of SPIE",
publisher = "SPIE",
editor = "Romanovskii, {Oleg A.} and Matvienko, {Gennadii G.}",
booktitle = "24th International Symposium on Atmospheric and Ocean Optics",
address = "United States",
note = "24th International Symposium on Atmospheric and Ocean Optics - Atmospheric Physics ; Conference date: 02-07-2018 Through 05-07-2018",

}

RIS

TY - GEN

T1 - A numerical evaluation of the source identification algorithm for atmospheric chemistry model with the concentrations time series data

AU - Penenko, Alexey V.

AU - Mukatova, Zhadyra S.

PY - 2018/1/1

Y1 - 2018/1/1

N2 - The algorithm of source identification for atmospheric chemistry transformation models with the measurement data in the form of time series is tested numerical in the scenario with the second generation regional acid deposition model chemical mechanism. The algorithm is based on the sensitivity operator that is constructed from the ensemble of the adjoint equation solutions. This operator allows to apply algorithms for the solution of nonlinear operator equations for the solution of the inverse problem. The objective of the paper is to numerically evaluate the ability of the algorithm to solve the realistic inverse source problems with the mechanism.

AB - The algorithm of source identification for atmospheric chemistry transformation models with the measurement data in the form of time series is tested numerical in the scenario with the second generation regional acid deposition model chemical mechanism. The algorithm is based on the sensitivity operator that is constructed from the ensemble of the adjoint equation solutions. This operator allows to apply algorithms for the solution of nonlinear operator equations for the solution of the inverse problem. The objective of the paper is to numerically evaluate the ability of the algorithm to solve the realistic inverse source problems with the mechanism.

KW - adjoint equations ensemble

KW - chemical transformation model

KW - inverse source problem

KW - Newton-Kantorovich method

KW - RADM2

KW - sensitivity operator

UR - http://www.scopus.com/inward/record.url?scp=85061093578&partnerID=8YFLogxK

U2 - 10.1117/12.2504627

DO - 10.1117/12.2504627

M3 - Conference contribution

AN - SCOPUS:85061093578

VL - 10833

T3 - Proceedings of SPIE

BT - 24th International Symposium on Atmospheric and Ocean Optics

A2 - Romanovskii, Oleg A.

A2 - Matvienko, Gennadii G.

PB - SPIE

T2 - 24th International Symposium on Atmospheric and Ocean Optics - Atmospheric Physics

Y2 - 2 July 2018 through 5 July 2018

ER -

ID: 19262604