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Lingyun Qiu: Multipollutant Traceability via Dynamic CGO Solutions #ICBS2024
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Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore a groundbreaking inversion framework utilizing dynamic Complex Geometrical Optics (CGO) solutions for precise pollution source identification in environmental systems. Delve into the innovative application of CGO solutions to tackle the challenges of simultaneously tracking multiple contaminants with varying diffusion coefficients and interactions. Learn how this approach integrates a wide range of environmental dynamics, including diffusion, convection, and inter-pollutant reactions, to create a comprehensive framework for tracing pollutant origins and accurately reconstructing emission concentrations in multipollutant traceability problems. Gain insights into this cutting-edge research presented by Lingyun Qiu at the International Conference on Biological Systems (ICBS) 2024, offering a one-hour lecture that pushes the boundaries of environmental monitoring and pollution source detection.

Multipollutant Traceability via Dynamic CGO Solutions

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