Identifiability-Aware Source Apportionment in City-Scale Advection-Diffusion Systems
Source apportionment from sparse urban air-quality sensors is an inverse problem limited by sensor placement, wind-driven transport, background variation, and noise. Known or proxy emission inventories make attribution meaningful by restricting the unknown source field to a finite set of candidate groups, but do not guarantee those groups are distinguishable from the observations. We represent time-varying source activity with a low-dimensional nonnegative temporal basis and formulate inventory-based apportionment as a wind-conditioned lagged inverse problem in which each source--basis coefficient produces a sensor-time fingerprint. After projecting out a separate low-dimensional backgrou...
| Authors | Ankit Bhardwaj, Lakshminarayanan Subramanian |
|---|---|
| Primary category | eess.SP |
| Published | 25 July 2026 |
| Last updated at source | 25 July 2026 |
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