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Using health impacts to assess atmospheric carbon monoxide models

Published online by Cambridge University Press:  22 February 2006

Kim N. Dirks ,
Andrew P. Sturman  and
Murray D. Johns
Kim N. Dirks
Affiliation:
The University of Auckland, Private Bag 92019, Auckland, New Zealand
Andrew P. Sturman
Affiliation:
The University of Canterbury, Private Bag 4800, Christchurch, New Zealand Email: k.dirks@auckland.ac.nz
Murray D. Johns
Affiliation:
The University of Auckland, Private Bag 92019, Auckland, New Zealand
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Abstract

Atmospheric pollution models are generally evaluated using measures of the difference between predicted and observed concentrations. These statistics can be inadequate as they tend to be sensitive to small errors in the timing of peak events that are generally of little consequence from a health point of view. This paper presents a technique for evaluating atmospheric carbon monoxide models based on the statistical properties of the uptake of carbon monoxide, rather than relying on traditional model evaluation measures. A simple semi-empirical atmospheric carbon monoxide model is used as an example to illustrate the approach.

Keywords

exposure assessmentcarboxyhæmoglobinmodellinghealth effectscarbon monoxidemodel evaluation
Type
Research Article
Information
Meteorological Applications , Volume 13 , Issue 1 , March 2006 , pp. 83 - 87
Copyright
2006 Royal Meteorological Society

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