Nowadays, much of the world has a regional air pollution strategy to limit and decrease the
pollution levels across governmental borders and control their impact on human health and …

Sensitivity analysis is a modern promising technique for studying large systems such as
ecological systems. The main idea of sensitivity analysis is to evaluate and predict (through …

In this paper, we present and study highly efficient stochastic methods, including optimal
super convergent methods for multidimensional sensitivity analysis of large-scale ecological …

An optimization version of the van der Corput sequence has been used in our sensitivity
studies of the model output results for some air pollutants with respect to the emission levels …

The influence of emission levels on the concentrations of four important air pollutants
(ammonia, ozone, ammonium sulphate and ammonium nitrate) over three European cities …

A special computational technology for sensitivity analysis of ozone concentrations
according to variations of rates of chemical reactions is developed. It allows us to study a …

Many challenges in the environmental protection exist since this is one of the leading
priorities worldwide. Sensitivity analysis plays a foundational role in the validating process of …

In this paper an advanced stochastic approach based a lattice rule with improved generating
vector has been obtained and studied. The Unified Danish Eulerian Model (UNI-DEM) is a …

In this paper for the first time a Hammersley and van der Corput sequences comparison for
multidimensional sensitivity analysis has been done. Sensitivity analysis of model outputs to …

Quasi-Monte Carlo algorithms based on modified Sobol sequences, modified van der
Corput sequnces and modified lattice sequences are used in our sensitivity study of the …