Efficient stochastic approaches for sensitivity studies of an Eulerian large-scale air pollution model

Reliability of large-scale mathematical models is an important issue when such models are used to support decision makers. Sensitivity analysis of model outputs to variation or natural uncertainties of model inputs is crucial for improving the reliability of mathematical models. A comprehensive expe...

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