2020
DOI: 10.15439/2020f107
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Sensitivity Study of a Large-Scale Air Pollution Model by Using Optimized Stochastic Algorithm

Abstract: In this work a systematic procedure for multidimensional sensitivity analysis in the area of air pollution modeling by an optimized latin hypercube sampling has been done. The Unified Danish Eulerian Model (UNI-DEM) is used in our investigation, because this is one of the most advanced largescale mathematical models that describes adequately all physical and chemical processes. We study the sensitivity of concentration variations of some of the most dangerous air pollutants with respect to the anthropogenic em… Show more

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