Atmospheric Dispersion Modeling Using a Stochastic Wind Model

Roseane A.S. Albani; Luiz Eduardo Gomes; Hélio S. Migon; Antônio José da Silva Neto

doi:10.4028/p-5PXIoW

Paper Titles

Preface

Atmospheric Dispersion Modeling Using a Stochastic Wind Model
p.3

Implementation, Validation and Study Case of a Landscape Evolution Model Algorithm
p.13

Mathematical Modeling of Atmospheric Dispersion from Accidental Release of Ammonia (NH₃) during Road Transport
p.25

Analysis under Uncertainty with the Monte Carlo Method Applied to a Bioheat Transfer Problem with Coupled Deep Brain Stimulation Lead
p.37

Numerical Study of the Influence of the Geometric Parameters of a Radial Crystalizer Using a Multiscale CFD Model
p.47

Performance of an Oscillating Water Column Wave Energy Converter Integrated with Three Types of Harbor Protection Structures
p.63

Maximizing Efficiency of Earth-Air Heat Exchangers with Galvanized Blocks
p.75

Computational Modeling of an Earth-Air Heat Exchanger Integrated with Phase Change Materials: A Case Study Performed for the Viamão City, Rio Grande do Sul State, Brazil
p.85

HomeDefect and Diffusion ForumDefect and Diffusion Forum Vol. 427Atmospheric Dispersion Modeling Using a Stochastic...

Atmospheric Dispersion Modeling Using a Stochastic Wind Model

Abstract:

In this work, we propose a stochastic wind field based on the Bayesian dynamic linear model to account for the wind flow field in the transient advection-diffusion partial differential equation (PDE). The resulting dispersion model accounts for the time variation in the wind field and meteorological variables, allowing the simulation of a transient regime. The main advantage of using such a wind field model over a Fourier series to fit wind time series is its potential to make predictions. In addition, a suitable methodology is necessary to solve the resulting dispersion model. In this work, we use a finite element formulation appropriate to solve transient advection-diffusion PDEs. We verify the accuracy of the proposed methodology by reproducing a case study considering a field tracer experiment. The model evaluation against experimental data shows the good performance of the proposed dispersion model.

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Periodical:

Defect and Diffusion Forum (Volume 427)

Pages:

3-11

DOI:

https://doi.org/10.4028/p-5PXIoW

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Online since:

July 2023

Authors:

Roseane A.S. Albani*, Luiz Eduardo Gomes, Hélio S. Migon, Antônio José da Silva Neto

Keywords:

Atmospheric Dispersion, Bayesian Dynamic Linear Model, Finite Element Method, Pollutants Dispersion

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