Community Research and Development Information Service - CORDIS


Airborne particulates have a negative impact on human health and there are European directives aimed at controlling their levels. It is foreseen that there will be continuing demands for reductions in emissions of particulates by the steel industry, and there is a need to ensure that these demands are in proportion to contributions by the steel plants to the level of particulates in the environment. This project examined two main approaches to estimation of this contribution at five steel plants. One used mathematical modelling of the dispersion of emissions to predict the levels present in the environment. The other approach used sampling of the dust in the environment, chemical analysis of the samples, followed by mathematical analysis. Mathematical modelling requires good knowledge of the emissions, and some emissions can be difficult to model. Modelling can be accurate to within 50 % for annual averages, but is less accurate for shorter periods. Modelling is relatively low cost, and can be completed in a short time. Sampling in the environment is usually continued for several months and so is more costly and slower. Time is also needed for the chemical analysis of samples and the mathematical analysis of the data. The work showed that the conclusions obtained were influenced by the methods of chemical analysis used - bulk or single particle. Analysis of single particles, using SEM/EDA, gave the most information on sources of particulates, and required fewer samples. Both mathematical modelling and sampling in the environment can yield useful results.

Additional information

Authors: HARVEY D S, Corus UK, Rotherham (GB);HORNE A, Corus UK, Rotherham (GB);HODGES J S, Corus UK, Rotherham (GB);HAINES A N, Corus UK, Rotherham (GB);LELOÜER P, LECES, Maizières-lès-Metz (FR);BERHO F, LECES, Maizières-lès-Metz (FR);FALCIONI F, CSM, Rome (GB)
Bibliographic Reference: EUR 22457 EN (2007), 127 pp. Euro: 25
Availability: Katalogue Number: KI-NA-22457-EN-S The paper version can be ordered online and the PDF version downloaded at:
ISBN: ISBN: 978-92-79-04995-8
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