Journal article

Dynamic parameter estimation for a street canyon air quality model

Jeremy David Silver, Matthias Ketzel, Jorgen Brandt

Environmental Modelling & Software | ELSEVIER SCI LTD | Published : 2013

Abstract

The Operational Street Pollution Model (OSPM ) is a widely used air quality model for urban street canyons. It is a parametric model, simulating the contribution from traffic emissions on a single street at receptor points at the buildings' facades. The OSPM contains a number of empirical parameters, accounting for processes such as emission factors or dispersion of pollutants. The values of these parameters are based on empirical assumptions, and might not be optimal for a specific street. In this work, we allow these parameters to vary within a certain meaningful range.We implemented two different parameter estimation schemes: a dynamic estimation procedure (using an ensemble Kalman filter..

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University of Melbourne Researchers

Grants

Funding Acknowledgements

This study was funded by a program grant from the Danish Council for Technology and Innovation: Effects of climate changes on ecosystems - a global comparative analysis (ECOGLOBE). We thank Ruwin Berkovicz for reading and commenting on the manuscript. Two anonymous reviewers provided a wide range of insightful comments and criticism on this manuscript.