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A monitoring strategy to assess the fugitive emission from a steel plant.

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Title: A monitoring strategy to assess the fugitive emission from a steel plant.
Authors: Amodio, M.1, Andriani, E.1, Dambruoso, P.R.1, de Gennaro, G.1 gianluigi.degennaro@uniba.it, Di Gilio, A.1, Intini, M.1, Palmisani, J.1, Tutino, M.1
Source: Atmospheric Environment. Nov2013, Vol. 79, p455-461. 7p.
Subject Terms: *Environmental monitoring, *Fugitive emissions, *Environmental impact analysis, *Particulate matter, *Metals & the environment, *Air quality, Steel, Atmospheric transport
Abstract: Abstract: An assessment of the fugitive emission impact on ambient air PM, PAHs and metal concentrations was performed in a residential area near the biggest European steel plant. A careful experimental design was developed to characterize fugitive emissions produced by the integrated steel plant. A PM10 and PM2.5 monitoring campaign was conducted at three sampling sites around the steel plant, in order to perform a triangulation in the area surrounding the investigated site and evaluate its impact based on wind direction. Data analysis showed that the transport of air mass, from the steelworks to one of the receptor sites, resulted in ambient air concentrations of Fe, Mn, Zn and PAHs higher than those observed in the other two sites. Principal component analysis allowed the identification of four emission sources: coke ovens stack, mineral park, a crustal source and vanadium source. The first two sources were characterized by high concentrations of PAHs and metals and related to the steelworks, while the vanadium source was probably associated with maritime traffic in the port area. This preliminary monitoring approach proved effective in identifying the fugitive emission contribution of the steel plant to the surrounding air quality. [Copyright &y& Elsevier]
Copyright of Atmospheric Environment is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: GreenFILE
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: A monitoring strategy to assess the fugitive emission from a steel plant.
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  Data: <searchLink fieldCode="AR" term="%22Amodio%2C+M%2E%22">Amodio, M.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Andriani%2C+E%2E%22">Andriani, E.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Dambruoso%2C+P%2ER%2E%22">Dambruoso, P.R.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22de+Gennaro%2C+G%2E%22">de Gennaro, G.</searchLink><relatesTo>1</relatesTo><i> gianluigi.degennaro@uniba.it</i><br /><searchLink fieldCode="AR" term="%22Di+Gilio%2C+A%2E%22">Di Gilio, A.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Intini%2C+M%2E%22">Intini, M.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Palmisani%2C+J%2E%22">Palmisani, J.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Tutino%2C+M%2E%22">Tutino, M.</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Atmospheric+Environment%22">Atmospheric Environment</searchLink>. Nov2013, Vol. 79, p455-461. 7p.
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  Data: *<searchLink fieldCode="DE" term="%22Environmental+monitoring%22">Environmental monitoring</searchLink><br />*<searchLink fieldCode="DE" term="%22Fugitive+emissions%22">Fugitive emissions</searchLink><br />*<searchLink fieldCode="DE" term="%22Environmental+impact+analysis%22">Environmental impact analysis</searchLink><br />*<searchLink fieldCode="DE" term="%22Particulate+matter%22">Particulate matter</searchLink><br />*<searchLink fieldCode="DE" term="%22Metals+%26+the+environment%22">Metals & the environment</searchLink><br />*<searchLink fieldCode="DE" term="%22Air+quality%22">Air quality</searchLink><br /><searchLink fieldCode="DE" term="%22Steel%22">Steel</searchLink><br /><searchLink fieldCode="DE" term="%22Atmospheric+transport%22">Atmospheric transport</searchLink>
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  Data: Abstract: An assessment of the fugitive emission impact on ambient air PM, PAHs and metal concentrations was performed in a residential area near the biggest European steel plant. A careful experimental design was developed to characterize fugitive emissions produced by the integrated steel plant. A PM10 and PM2.5 monitoring campaign was conducted at three sampling sites around the steel plant, in order to perform a triangulation in the area surrounding the investigated site and evaluate its impact based on wind direction. Data analysis showed that the transport of air mass, from the steelworks to one of the receptor sites, resulted in ambient air concentrations of Fe, Mn, Zn and PAHs higher than those observed in the other two sites. Principal component analysis allowed the identification of four emission sources: coke ovens stack, mineral park, a crustal source and vanadium source. The first two sources were characterized by high concentrations of PAHs and metals and related to the steelworks, while the vanadium source was probably associated with maritime traffic in the port area. This preliminary monitoring approach proved effective in identifying the fugitive emission contribution of the steel plant to the surrounding air quality. [Copyright &y& Elsevier]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Atmospheric Environment is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.atmosenv.2013.07.001
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      – Code: eng
        Text: English
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        PageCount: 7
        StartPage: 455
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      – SubjectFull: Environmental monitoring
        Type: general
      – SubjectFull: Fugitive emissions
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      – SubjectFull: Environmental impact analysis
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      – SubjectFull: Particulate matter
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      – SubjectFull: Metals & the environment
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      – SubjectFull: Air quality
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      – SubjectFull: Steel
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      – SubjectFull: Atmospheric transport
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      – TitleFull: A monitoring strategy to assess the fugitive emission from a steel plant.
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              Text: Nov2013
              Type: published
              Y: 2013
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