Identification Of Chemical Species Emission And Sensitivity Analysis With Variational Assimilation Of Restricted Artificial Observations

Recent developments in the field of chemical data assimilation have led to a variational analysis where the results are generally used as the initial condition for forecasting. Such analysis method is able to adjust other model parameters like emissions which are not available with conventional tech...

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Bibliographic Details
Published in:WIT Transactions on Ecology and the Environment 2002-01, Vol.51
Main Authors: Massart, S, Argaud, J P, Piacentini, A, Thual, O
Format: Article
Language:English
Subjects:
Chemical speciation
Data collection
Emission analysis
Organic chemistry
Pollutants
Pollution dispersion
Sensitivity analysis
Two dimensional analysis
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Summary:Recent developments in the field of chemical data assimilation have led to a variational analysis where the results are generally used as the initial condition for forecasting. Such analysis method is able to adjust other model parameters like emissions which are not available with conventional techniques. Using a simplified one-dimensional urban chemistry transport model, this paper presents the identification of the ground flux pollutants with data assimilation twin experiments. It also describes the initial effort in the understanding of the influence of each observed species on the quality of a two-dimensional variational analysis system
ISSN:1746-448X
1743-3541
DOI:10.2495/ENV020081