Hostname: page-component-586b7cd67f-rdxmf Total loading time: 0 Render date: 2024-11-28T07:36:29.120Z Has data issue: false hasContentIssue false

Mesoscale model forecasting as a tool for air pollution management: a case study of sustained smoke pollution over the Greater Sydney area

Published online by Cambridge University Press:  22 November 2000

Milton S. Speer
Affiliation:
Bureau of Meteorology, Sydney, P.O. Box 413, Darlinghurst, New South Wales 1300, Australia
Lance M. Leslie
Affiliation:
School of Mathematics, University of New South Wales, Sydney 2052, Australia
Get access

Abstract

A mesoscale model has been applied over the Greater Sydney region to an air pollution episode resulting from fire hazard reduction burns from 12 to 14 April 1997. The episode was characterised by two distinct events in a period of sustained light winds, which included humid sea breezes and land breezes. The first event occurred early in the period when the atmospheric circulation involved either weak sea breezes or no sea breeze at the coast. Described here are the meteorological conditions associated with the inter-regional transport of smoke from a prescribed, or hazard reduction, burn just north of Sydney, which concentrated smoke in the eastern part of the Sydney metropolitan area. The second event, which occurred late in the episode, was local in nature but was induced synoptically by the large-scale airflow by a change in wind direction that transported smoke and fog over a major highway. Also described are the meteorological conditions that contributed to the disruption of a major highway caused by a multiple vehicle pile-up just to the south-west of Sydney later in the period. Numerical model simulations using the University of New South Wales (UNSW) NWP model, which used archived real-time data, accurately predicted both the concentration of pollution in the eastern part of the Sydney metropolitan area in the first event and the hazardous smog formation and timing of the clearing south-west wind change in the second event.

Type
Research Article
Copyright
© 2000 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)