Advanced Methods and Algorithms to Study the High Pollutant Concentrations in Europe

In this paper we investigate some key issues connected with the distribution of some major air pollutants. More precisely we will be interested in the possible changes of the potentially dangerous ozone levels. We will focus on some improvement stochastic algorithms based on scrambling and shifting of the well known Sobol and Halton sequences for improving the numerical algorithms for measuring the sensitivity indices of the UNI-DEM model, very important part of the Digital Twin, which is called DIGITAL AIR. The proposed technique is novel in the sense that the optimization of the Halton and Sobol sequences using Cranley-Patterson rotations and random digital scrambling is applied for the first time and essentially improves the results for the Digital Twin. The results will be of great importance for the environment protection and the human health, especially for people who are suffering from asthmatic diseases.