Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
Numerical solution of the inverse source problems for the advection-diffusion-reaction models with image-type measurement data. / Penenko, A. V.; Mukatova, Z. S.; Blem, A. A.
19th International Conference on the Methods of Aerophysical Research, ICMAR 2018. ред. / Fomin. Том 2027 American Institute of Physics Inc., 2018. 030106 (AIP Conference Proceedings; Том 2027).Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
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TY - GEN
T1 - Numerical solution of the inverse source problems for the advection-diffusion-reaction models with image-type measurement data
AU - Penenko, A. V.
AU - Mukatova, Z. S.
AU - Blem, A. A.
N1 - Publisher Copyright: © 2018 Author(s).
PY - 2018/11/2
Y1 - 2018/11/2
N2 - The inverse source problem for 2D advection-diffusion-reaction model with the measurement data in the form of 2D concentration distribution images is considered. These inverse problems arise in the air quality studies with satellite images data avalible. The sensitivity operator composed of the set of the adjoint problems is used to transform the inverse source problem to the quasi-linear operator equation, which depends on the set of the projection basis functions for the incoming measurement data. The algorithm is tested in the scenarion for an atmospheric chemistry transport model.
AB - The inverse source problem for 2D advection-diffusion-reaction model with the measurement data in the form of 2D concentration distribution images is considered. These inverse problems arise in the air quality studies with satellite images data avalible. The sensitivity operator composed of the set of the adjoint problems is used to transform the inverse source problem to the quasi-linear operator equation, which depends on the set of the projection basis functions for the incoming measurement data. The algorithm is tested in the scenarion for an atmospheric chemistry transport model.
UR - http://www.scopus.com/inward/record.url?scp=85056362613&partnerID=8YFLogxK
U2 - 10.1063/1.5065200
DO - 10.1063/1.5065200
M3 - Conference contribution
AN - SCOPUS:85056362613
VL - 2027
T3 - AIP Conference Proceedings
BT - 19th International Conference on the Methods of Aerophysical Research, ICMAR 2018
A2 - Fomin, null
PB - American Institute of Physics Inc.
T2 - 19th International Conference on the Methods of Aerophysical Research, ICMAR 2018
Y2 - 13 August 2018 through 19 August 2018
ER -
ID: 17410487