New publication on a method for determining unknown source locations

9 März 2026

We are pleased to announce the publication of our article “Sparse source identification in transient advection-diffusion problems with a primal-dual-active-point strategy”  by Marco Mattuschka, Daniel Walter, Max von Danwitz and Alexander Popp in the journal Computer Methods in Applied Mechanics and Engineering.

The work addresses a problem in the field of Critical Infrastructure Protection (CIP). The method presented here is designed for scenarios such as evacuation planning in the event of hazardous contaminant releases. In such situations, rapid and reliable decisions must be made despite severely limited sensor data. The proposed approach is specifically tailored to support decision-making under these conditions.

To determine unknown source locations, an inverse problem is formulated and solved using an L1-type regularization. This approach promotes so-called sparse solutions. In practice, this means that the method searches for solutions in which only a small number of spatial locations are identified as active sources, while the majority of the domain remains free of sources.

 

Mattuschka, M., Walter, D., von Danwitz, M., & Popp, A. (2026). Sparse source identification in transient advection-diffusion problems with a primal-dual-active-point strategy. Computer Methods in Applied Mechanics and Engineering, 454, 118854. DOI (Open Access)

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