Sparse source identification in transient advection-diffusion problems with a primal-dual-active-point strategy

This work presents a mathematical model to enable rapid prediction of airborne contaminant transport based on scarce sensor measurements. The method is designed for applications in critical infrastructure protection (CIP), such as evacuation planning following contaminant release. In such scenarios, timely and reliable decision-making is essential, despite limited observation data.

Publication Details

Journal
Computer Methods in Applied Mechanics and Engineering
Published
2026-03-02
DOI
https://doi.org/10.1016/j.cma.2026.118854
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
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article

Sparse source identification in transient advection-diffusion problems with a primal-dual-active-point strategy

Computer Methods in Applied Mechanics and Engineering
Advanced Numerical Methods in Computational Mathematics
article

Sparse source identification in transient advection-diffusion problems with a primal-dual-active-point strategy

article en

Abstract

This work presents a mathematical model to enable rapid prediction of airborne contaminant transport based on scarce sensor measurements. The method is designed for applications in critical infrastructure protection (CIP), such as evacuation planning following contaminant release. In such scenarios, timely and reliable decision-making is essential, despite limited observation data.

Computer Methods in Applied Mechanics and EngineeringVol. 454
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Openalex Percentile: Top 35%
Advanced Numerical Methods in Computational Mathematics
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Sparse source identification in transient advection-diffusion problems with a primal-dual-active-point strategy · Computer Methods in Applied Mechanics and Engineering (2026) | TGRS Research Map | TGRS