Uncertainty Quantification and Global Sensitivity Analysis of a Lagrangian Acoustical-meteorological Coupled Simulation

Kurzfassung

This study focuses on the methods of Monte Carlo and the generalized polynomial chaos expansion, both of which make it possible to obtain the first statistical moment and the Sobol' sensitivity indices for uncertainty and sensitivity analysis, respectively. These methods are applied to acoustical-meteorological simulations with several hill topographies and also with several variations of meteorological parameters. The results are compared and it is observed that both methods can be applied. The generalized polynomial chaos expansion method produces similar results to the Monte Carlo method but with lower computational costs. The results also show the same pattern as other studies on the meteorological effects on sound propagation for specific test cases.