Kalman Filtering in the Air Quality Monitoring

Authors

  • Fabrício P. Harter Instituto Nacional de Pesquisas Espaciais, São José dos Campos, SP
  • Haroldo F. de Campos Velho Instituto Nacional de Pesquisas Espaciais, São José dos Campos, SP
  • Marco A. Chamon Instituto Nacional de Pesquisas Espaciais, São José dos Campos, SP

DOI:

https://doi.org/10.5902/2179460X63630

Abstract

Data assimilation is a process where an improved prediction is obtained from a weighted combination between experimental measurements and mathematical model data. In the present work this procedure is applied to pollutant atmospheric dispersion by using a Kalman filter (KF). This is interesting approach, because the KF gives an output in which the balance between the data from the diffusion model and the experimental data is done automaticaly, through the Kalman gain. In addition, the Kalman filter computes the propagation of the error.

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References

A.F. Bennett (1992): Inverse Methods in Physical Oceanography, Cambridge University Press.

H.F. de Campos Velho (1992): Non-modal Matrix in Initialization and Integration for a Barotropic Model and Numerical Study of Turbulent Vertical Dispersion, PhD Dissertation, Mechanical Engineering Graduation Program, Federal University of Rio Grande do Sul, Porto Alegre (RS), Brasil.

R.A. Daley (1991): Atmospheric Data Analysis, Cambridge University Press.

G.A. Degrazia, O.L.L. Moraes (1992): A Model for Eddy Diffusivity in a Stable Boundary Layer, Boundary Layer Meteorology, 58, 205-214.

J.D. Hoffman (1993): Numerical Methods for Engineers and Scientists, McGraw-Hill Inc., New York, EUA

A.H. Jazwinski (1970): Stochastic Process and Filtering Theory, Academic Press, New York.

A.G. Nowosad, A. Rios Neto, H.F. de Campos Velho (2000a): Data Assimilation Using an Adaptive Kalman Filter and Laplace

Transform, Journal of Hybrid Methods in Engineering, 2 (3), 291-310.

A.G. Nowosad, A. Rios Neto, H.F. de Campos Velho (2000b): Data Assimilation in Chaotic Dynamics Using Neural Networks, Third International Conference on Nonlinear Dynamics, Chaos, Control and Their Applications in Engineering Sciences, Campos do Jordão (SP), Brasil, Vol. 6, Chapter 6 - Control, 212-221.

A.G. Nowosad, H.F. de Campos Velho, A. Rios Neto (2000c): Neural Network as a New Approach for Data Assimilation, Brazilian Congress on Meteorology, Rio de Janeiro (RJ), Brasil, Proceedings in CD-ROM (paper code PT00002), 3078-3086.

P. Zannetti (1990): Air Pollution Modeling, Computational Mechanics Publications, UK.

X.F. Zhang, A.W. Heemink (1997): Data Assimilation in Transport Models, Applied Mathematical Modelling, 21, 2-14.

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Published

2002-01-18

How to Cite

Harter, F. P., Velho, H. F. de C., & Chamon, M. A. (2002). Kalman Filtering in the Air Quality Monitoring. Ciência E Natura, 177–187. https://doi.org/10.5902/2179460X63630

Issue

CIÊNCIA E NATURA, SPECIAL VOLUME, 2002: II WORKSHOP ON PHYSICS OF THE PLANETARY BOUNDARY LAYER AND DISPERSION PROCESS MODELING

Section

Articles

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