Air pollution monitoring

Ground-level ozone is an air pollutant that can harm human health. It is formed as a result of chemical reactions of a few pollutants found in vehicles' emissions. Computer simulation of ozone concentration requires solving dozens of complex nonlinear advection-diffusion-reaction equations.

The challenge is to overcome the “curse of dimensionality” in order to construct a robust ozone forecast. The minimax uncertainty propagation approach was applied to generate the forecast and assess its quality.

The solution suggests optimal model reduction (up to 50%), worst-case estimation error (new confidence intervals for the forecast) and flexible uncertainty description.

Contact

Sergiy Zhuk

Challenge
Solution
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