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What is Probability-Based Indoor Contaminant Modeling about?

This research article presents a probability-based inverse modeling method, specifically the adjoint probability method, for identifying indoor airborne contaminant sources using limited sensor data. The method aims to enhance indoor air quality management by accurately locating and quantifying contaminant sources, thereby allowing for effective responses to pollution incidents. The study demonstrates the feasibility and accuracy of this approach through numerical simulations in realistic indoor environment

Author

Obaapre

Language

EN