In this paper, we propose to revisit a reciprocity gap method for solving point inverse source problem in an advection diffusion equation. The motivation of this problem is in ecology for pollutant source identification in a river. We propose the construction of original (numerically computed) adjoint functions that allows to consider more realistic geometries and river flows. The method is combined with a state estimator which allows to accelerate the identification process. The proposed method is validated on several examples.
Keywords: Inverse source problem, advection diffusion equation, reciprocity gap method.
Antoine Tonnoir 1

@article{SMAI-JCM_2025__11__233_0, author = {Antoine Tonnoir}, title = {Combining reciprocity gap method and state estimator for source identification in an advection diffusion equation}, journal = {The SMAI Journal of computational mathematics}, pages = {233--260}, publisher = {Soci\'et\'e de Math\'ematiques Appliqu\'ees et Industrielles}, volume = {11}, year = {2025}, doi = {10.5802/smai-jcm.124}, language = {en}, url = {https://smai-jcm.centre-mersenne.org/articles/10.5802/smai-jcm.124/} }
TY - JOUR AU - Antoine Tonnoir TI - Combining reciprocity gap method and state estimator for source identification in an advection diffusion equation JO - The SMAI Journal of computational mathematics PY - 2025 SP - 233 EP - 260 VL - 11 PB - Société de Mathématiques Appliquées et Industrielles UR - https://smai-jcm.centre-mersenne.org/articles/10.5802/smai-jcm.124/ DO - 10.5802/smai-jcm.124 LA - en ID - SMAI-JCM_2025__11__233_0 ER -
%0 Journal Article %A Antoine Tonnoir %T Combining reciprocity gap method and state estimator for source identification in an advection diffusion equation %J The SMAI Journal of computational mathematics %D 2025 %P 233-260 %V 11 %I Société de Mathématiques Appliquées et Industrielles %U https://smai-jcm.centre-mersenne.org/articles/10.5802/smai-jcm.124/ %R 10.5802/smai-jcm.124 %G en %F SMAI-JCM_2025__11__233_0
Antoine Tonnoir. Combining reciprocity gap method and state estimator for source identification in an advection diffusion equation. The SMAI Journal of computational mathematics, Volume 11 (2025), pp. 233-260. doi : 10.5802/smai-jcm.124. https://smai-jcm.centre-mersenne.org/articles/10.5802/smai-jcm.124/
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