Standard

Algorithms based on sensitivity operators for analyzing and solving inverse modeling problems of transport and transformation of atmospheric pollutants. / Penenko, Alexey; Gochakov, Alexander; Penenko, Vladimir.

In: IOP Conference Series: Earth and Environmental Science, Vol. 611, No. 1, 012032, 22.12.2020.

Research output: Contribution to journal › Conference article › peer-review

Harvard

Penenko, A, Gochakov, A & Penenko, V 2020, 'Algorithms based on sensitivity operators for analyzing and solving inverse modeling problems of transport and transformation of atmospheric pollutants', IOP Conference Series: Earth and Environmental Science, vol. 611, no. 1, 012032. https://doi.org/10.1088/1755-1315/611/1/012032

APA

Penenko, A., Gochakov, A., & Penenko, V. (2020). Algorithms based on sensitivity operators for analyzing and solving inverse modeling problems of transport and transformation of atmospheric pollutants. IOP Conference Series: Earth and Environmental Science, 611(1), [012032]. https://doi.org/10.1088/1755-1315/611/1/012032

Vancouver

Penenko A, Gochakov A, Penenko V. Algorithms based on sensitivity operators for analyzing and solving inverse modeling problems of transport and transformation of atmospheric pollutants. IOP Conference Series: Earth and Environmental Science. 2020 Dec 22;611(1):012032. doi: 10.1088/1755-1315/611/1/012032

Author

Penenko, Alexey ; Gochakov, Alexander ; Penenko, Vladimir. / Algorithms based on sensitivity operators for analyzing and solving inverse modeling problems of transport and transformation of atmospheric pollutants. In: IOP Conference Series: Earth and Environmental Science. 2020 ; Vol. 611, No. 1.

BibTeX

@article{1f1b29c9605547cba02873d1518040e7,
title = "Algorithms based on sensitivity operators for analyzing and solving inverse modeling problems of transport and transformation of atmospheric pollutants",
abstract = "An application of sensitivity operator-based algorithms to an inverse modeling scenario of urban air quality is presented. A source identification problem and a concentration field continuation problem are solved and analyzed. The analysis of the sensitivity operator allows one to obtain a preliminary estimate of the source identification problem solution.",
author = "Alexey Penenko and Alexander Gochakov and Vladimir Penenko",
note = "Funding Information: The construction of the modeling scenario, the algorithm{\textquoteright}s adaptation to the conditions of Novosibirsk city, and the numerical experiments were carried out with financial support of the Russian Foundation for Basic Research and the Novosibirsk Region Government under scientific project 19-47-540011. 2GIS Company provided information about the road traffic intensity. The continuation problem analysis was supported by the Russian Foundation for Basic Research under project 20-01-00560. Publisher Copyright: {\textcopyright} Published under licence by IOP Publishing Ltd. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 11th International Conference and Early Career Scientists School on Environmental Observations, Modeling and Information Systems, ENVIROMIS 2020 ; Conference date: 07-09-2020 Through 11-09-2020",
year = "2020",
month = dec,
day = "22",
doi = "10.1088/1755-1315/611/1/012032",
language = "English",
volume = "611",
journal = "IOP Conference Series: Earth and Environmental Science",
issn = "1755-1307",
publisher = "IOP Publishing Ltd.",
number = "1",

}

RIS

TY - JOUR

T1 - Algorithms based on sensitivity operators for analyzing and solving inverse modeling problems of transport and transformation of atmospheric pollutants

AU - Penenko, Alexey

AU - Gochakov, Alexander

AU - Penenko, Vladimir

N1 - Funding Information: The construction of the modeling scenario, the algorithm’s adaptation to the conditions of Novosibirsk city, and the numerical experiments were carried out with financial support of the Russian Foundation for Basic Research and the Novosibirsk Region Government under scientific project 19-47-540011. 2GIS Company provided information about the road traffic intensity. The continuation problem analysis was supported by the Russian Foundation for Basic Research under project 20-01-00560. Publisher Copyright: © Published under licence by IOP Publishing Ltd. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.

PY - 2020/12/22

Y1 - 2020/12/22

N2 - An application of sensitivity operator-based algorithms to an inverse modeling scenario of urban air quality is presented. A source identification problem and a concentration field continuation problem are solved and analyzed. The analysis of the sensitivity operator allows one to obtain a preliminary estimate of the source identification problem solution.

AB - An application of sensitivity operator-based algorithms to an inverse modeling scenario of urban air quality is presented. A source identification problem and a concentration field continuation problem are solved and analyzed. The analysis of the sensitivity operator allows one to obtain a preliminary estimate of the source identification problem solution.

UR - http://www.scopus.com/inward/record.url?scp=85099147812&partnerID=8YFLogxK

U2 - 10.1088/1755-1315/611/1/012032

DO - 10.1088/1755-1315/611/1/012032

M3 - Conference article

AN - SCOPUS:85099147812

VL - 611

JO - IOP Conference Series: Earth and Environmental Science

JF - IOP Conference Series: Earth and Environmental Science

SN - 1755-1307

IS - 1

M1 - 012032

T2 - 11th International Conference and Early Career Scientists School on Environmental Observations, Modeling and Information Systems, ENVIROMIS 2020

Y2 - 7 September 2020 through 11 September 2020

ER -

ID: 27450269