Applications of Discrete-time Markov Chains and Poisson Processes to Air Pollution Modeling and Studies

2013 ◽  
Author(s):  
Eliane Regina Rodrigues ◽  
Jorge Alberto Achcar
Keyword(s):  
Air Pollution ◽  
Markov Chains ◽  
Discrete Time ◽  
Poisson Processes ◽  
Air Pollution Modeling ◽  
Pollution Modeling

Photochemical Air Pollution Modeling

2009 ◽  
pp. 269-285
Author(s):  
Carlos Borrego ◽  
Ana Miranda ◽  
Joana Ferreira
Keyword(s):  
Air Pollution ◽  
Air Pollution Modeling ◽  
Pollution Modeling

High-accuracy numerical methods for a parabolic system in air pollution modeling

2019 ◽  
Vol 32 (10) ◽  
pp. 6025-6040
Author(s):  
Venelin Todorov ◽  
Juri Kandilarov ◽  
Ivan Dimov ◽  
Luben Vulkov
Keyword(s):  
Air Pollution ◽  
Numerical Methods ◽  
Parabolic System ◽  
High Accuracy ◽  
Air Pollution Modeling ◽  
Pollution Modeling

scholarly journals A PRECONDITIONED ITERATIVE SOLUTION SCHEME FOR NONLINEAR PARABOLIC SYSTEMS ARISING IN AIR POLLUTION MODELING

2013 ◽  
Vol 18 (5) ◽  
pp. 641-653 ◽  
Author(s):  
Janos Karatson ◽  
Tamas Kurics
Keyword(s):  
Air Pollution ◽  
Iterative Solution ◽  
Transport Systems ◽  
Preconditioned Conjugate Gradient ◽  
Inexact Newton Method ◽  
Element Discretization ◽  
Air Pollution Modeling ◽  
Nonlinear Parabolic ◽  
Pollution Modeling ◽  
Preconditioned Iterative

A preconditioned iterative solution method is presented for nonlinear parabolic transport systems. The ingredients are implicit Euler discretization in time and finite element discretization in space, then an outer-inner (outer damped inexact Newton method with inner preconditioned conjugate gradient) iteration, further, as a main part, preconditioning via an l-tuple of independent elliptic operators. Numerical results show that the suggested method works properly for a test problem in air pollution modeling.

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