Logo image
Interpretation of Conventional Photochemical Air Quality Data using the Integrated Empirical Rate Model
Journal article   Open access   Peer reviewed

Interpretation of Conventional Photochemical Air Quality Data using the Integrated Empirical Rate Model

Aaron Wiegand and N D Bofinger
Clean Air and Environmental Quality, Vol.33(4), pp.45-49
1999
pdf
Interpretation of Conventional Photochemical Air Quality Data using the Integrated Empirical Rate Model159.44 kBDownloadView
Published VersionNot for commercial use without permission from the Clean Air Society of Australia and New Zealand. Open Access
url
https://search.informit.com.au/documentSummary;dn=699594520474398;res=IELENGView
Webpage

Abstract

Chemical Sciences Earth Sciences Environmental Sciences environmental risk assessment air quality monitoring stations photochemical oxidants photochemical smog ozone
The Integrated Empirical Rate (IER) model is used as an airshed photochemical management tool, owing to its simplicity and accuracy, to give an understanding of the degree of photooxidation that is occurring in air parcels. The model requires a knowledge of concentrations of NO, NOy, ozone and reactive organic compounds (ROC) to estimate the reactivity of an air parcel. All these are measured by Airtrak, an instrument designed specifically to provide data for the IER model. However, as the majority of air quality agencies do not have access to this technology, most conventional air quality data consists only of NO, NOy and ozone. In this paper, the IER model has been applied successfully to conventional data by assuming a constant ratio of ROC to NOx emissions, which can be determined from emissions inventories or Airtrak technology if available. The proposed method is illustrated by means of an example, which provides insight into the requirements, restrictions and effectiveness of this modelling technique.

Details

Metrics

7 File views/ downloads
448 Record Views
Logo image