Sensitivity studies of pollutant concentrations calculated by the UNI-DEM with respect to the input emissions

DOI10.2478/s11533-013-0256-2zbMath1321.92081OpenAlexW2036205387MaRDI QIDQ360323

Zahari Zlatev, Raya Georgieva, Tzvetan Ostromsky, Ivan T. Dimov

Publication date: 26 August 2013

Published in: Central European Journal of Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2478/s11533-013-0256-2

zbMATH Keywords

multidimensional numerical integrationMonte Carlo approaches for small sensitivity indicesremote transport of air pollutantsSobol' global variance-based sensitivity analysisUnified Danish Eulerian Model (UNI-DEM)

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12) Monte Carlo methods (65C05) Ecology (92D40) Analysis of variance and covariance (ANOVA) (62J10)

Related Items (4)

Sensitivity analysis of an air pollution model with using innovative Monte Carlo methods in calculating multidimensional integrals ⋮ Advanced Quasi-Monte Carlo Algorithms for Multidimensional Integrals in Air Pollution Modelling ⋮ Sensitivity Studies of an Air Pollution Model by Using Efficient Stochastic Algorithms for Multidimensional Numerical Integration ⋮ Preparing input data for sensitivity analysis of an air pollution model by using high-performance supercomputers and algorithms

Cites Work

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• Sensitivity Analysis in Practice
• Global Sensitivity Analysis
• Monte Carlo estimators for small sensitivity indices
• Monte Carlo Methods for Applied Scientists
• Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates

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