Assessment of the relationship between industrial and traffic sources contributing to air quality objective exceedences: a theoretical modelling exercise

被引:29
作者
Leksmono, NS
Longhurst, JWS
Ling, KA
Chatterton, TJ
Fisher, BEA
Irwin, JG
机构
[1] Univ W England, Fac Sci Appl, Air Qual Res Grp, Bristol BS16 1QY, Avon, England
[2] Environm Agcy, Risk & Forecasting, Reading RG1 8DQ, Berks, England
关键词
air quality management; NOx : NO2 relationship; traffic pollution; industrial pollution; ADMS-urban; theoretical modelling;
D O I
10.1016/j.envsoft.2004.07.012
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In the UK, local government is under a statutory duty to undertake scientific review and assessment of air quality and designate Air Quality Management Areas (AQMAs) in locations with identified air quality problems. This paper investigates, from a theoretical perspective, a situation where traffic is not the sole cause of an AQM A declaration. It presents air quality assessments in different scenarios, which are modelled using ADMS-Urban to predict concentrations of nitrogen dioxide. Modelling is carried Out using simple scenarios with a combination of traffic and industrial emissions, different type of roads, meteorological data and approaches to derive nitrogen dioxide from oxides of nitrogen. The modelling results have shown the significance of the NO,:NO, relationship and meteorological data as parameters inputted into the model. The results are discussed and compared with the guidance provided by Department for Environment, Food and Rural Affairs (Defra). Examples of local authorities' source apportionment studies are presented. (c) 2004 Elsevier Ltd. All rights reserved.
引用
收藏
页码:494 / 500
页数:7
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