A Super-Convergent Stochastic Method Based on the Sobol Sequence for Multidimensional Sensitivity Analysis in Environmental Protection

Environmental security is among the top priorities worldwide, and there are many difficulties in this area. The reason for a painful subject society healthcare systems. Multidimensional sensitivity analysis fundamental process of validating accuracy reliability large-scale computational models air pollution. In paper, we present an improved version well-known Sobol sequence, which shows significant improvement over best available existing sequences measurement indices digital ecosystem under consideration. We performed complicated comparison with low-discrepancy multidimensional to study model’s output respect variations input emissions anthropogenic pollutants evaluate rates several chemical reactions. Our results, presented paper through analysis, will play extremely important multi-sided role.