Adapting CMAQ to investigate air pollution in North Sea coastal regions

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Title: Adapting CMAQ to investigate air pollution in North Sea coastal regions
Authors: Matthias, V. volker.matthias@gkss.de, Aulinger, A.1, Quante, M.1
Source: Environmental Modelling & Software. Mar2008, Vol. 23 Issue 3, p356-368. 13p.
Subject Terms: *Air pollution, *Pollution, *Polycyclic aromatic hydrocarbons, *Polycyclic aromatic compounds, *Aerosols & the environment, Mathematical models, Simulation methods & models
Geographic Terms: North Sea
Abstract: The Models-3 Community Multiscale Air Quality (CMAQ) model is setup on a 54×54km2 grid for Europe and on a nested smaller domain with a 18×18km2 grid for the North Sea region. This paper concentrates on the models ability to represent the transport and deposition of atmospheric pollution in North Sea coastal areas. Comparisons to NO2 and PM10 measurements at selected sites of the Co-operative Program for Monitoring and Evaluation of the Long-range Transmission of Air Pollutants in Europe (EMEP) are used for quality control for atmospheric concentrations. We use modeled nitrogen deposition fields and EMEP wet deposition measurements during January and July 2001 as a measure to evaluate the deposition schemes. Close agreement between the model and the measurements was found for the oxidised nitrogen compounds in January, when on average NO2 was overestimated by 18% (measured: 3.52μgN/m3, modeled: 4.16μgN/m3) and nitrate deposition was only slightly underestimated by 2%. However, ammonia was underestimated by 44%. In July, NO2 levels are much lower than in January and the model underestimates the mean concentration by 35% (measured 1.49μgN/m3, modeled 0.97μgN/m3). Wet deposition is also underestimated, but again the results for nitrate (−38%) were in better agreement with the measurements than for ammonium (−57%). PM10 concentrations are largely underestimated in January and July (by about 65% on average), but this result was expected, because only anthropogenic emissions were considered. Nevertheless, especially in January high daily correlations (0.69–0.84) between the modeled dry PM10 and the measurements in Germany were found. This indicates that the aerosol transport pathways are captured quite well by the model. CMAQ has been expanded to represent also persistent organic pollutants (POPs). In this paper first results of deposition fields of the carcinogenic benzo(a)pyrene (B(a)P) are shown. Preliminary comparisons to air concentration and deposition measurements show that the model results are in the right order of magnitude. In particular the observed strong seasonal cycle of B(a)P in air was also present in the model. [Copyright &y& Elsevier]
Copyright of Environmental Modelling & Software is the property of Elsevier B.V. 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.)
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  Data: Adapting CMAQ to investigate air pollution in North Sea coastal regions
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  Data: <searchLink fieldCode="AR" term="%22Matthias%2C+V%2E%22">Matthias, V.</searchLink><i> volker.matthias@gkss.de</i><br /><searchLink fieldCode="AR" term="%22Aulinger%2C+A%2E%22">Aulinger, A.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Quante%2C+M%2E%22">Quante, M.</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Environmental+Modelling+%26+Software%22">Environmental Modelling & Software</searchLink>. Mar2008, Vol. 23 Issue 3, p356-368. 13p.
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  Data: *<searchLink fieldCode="DE" term="%22Air+pollution%22">Air pollution</searchLink><br />*<searchLink fieldCode="DE" term="%22Pollution%22">Pollution</searchLink><br />*<searchLink fieldCode="DE" term="%22Polycyclic+aromatic+hydrocarbons%22">Polycyclic aromatic hydrocarbons</searchLink><br />*<searchLink fieldCode="DE" term="%22Polycyclic+aromatic+compounds%22">Polycyclic aromatic compounds</searchLink><br />*<searchLink fieldCode="DE" term="%22Aerosols+%26+the+environment%22">Aerosols & the environment</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Simulation+methods+%26+models%22">Simulation methods & models</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22North+Sea%22">North Sea</searchLink>
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  Label: Abstract
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  Data: The Models-3 Community Multiscale Air Quality (CMAQ) model is setup on a 54×54km2 grid for Europe and on a nested smaller domain with a 18×18km2 grid for the North Sea region. This paper concentrates on the models ability to represent the transport and deposition of atmospheric pollution in North Sea coastal areas. Comparisons to NO2 and PM10 measurements at selected sites of the Co-operative Program for Monitoring and Evaluation of the Long-range Transmission of Air Pollutants in Europe (EMEP) are used for quality control for atmospheric concentrations. We use modeled nitrogen deposition fields and EMEP wet deposition measurements during January and July 2001 as a measure to evaluate the deposition schemes. Close agreement between the model and the measurements was found for the oxidised nitrogen compounds in January, when on average NO2 was overestimated by 18% (measured: 3.52μgN/m3, modeled: 4.16μgN/m3) and nitrate deposition was only slightly underestimated by 2%. However, ammonia was underestimated by 44%. In July, NO2 levels are much lower than in January and the model underestimates the mean concentration by 35% (measured 1.49μgN/m3, modeled 0.97μgN/m3). Wet deposition is also underestimated, but again the results for nitrate (−38%) were in better agreement with the measurements than for ammonium (−57%). PM10 concentrations are largely underestimated in January and July (by about 65% on average), but this result was expected, because only anthropogenic emissions were considered. Nevertheless, especially in January high daily correlations (0.69–0.84) between the modeled dry PM10 and the measurements in Germany were found. This indicates that the aerosol transport pathways are captured quite well by the model. CMAQ has been expanded to represent also persistent organic pollutants (POPs). In this paper first results of deposition fields of the carcinogenic benzo(a)pyrene (B(a)P) are shown. Preliminary comparisons to air concentration and deposition measurements show that the model results are in the right order of magnitude. In particular the observed strong seasonal cycle of B(a)P in air was also present in the model. [Copyright &y& Elsevier]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Environmental Modelling & Software is the property of Elsevier B.V. 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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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.envsoft.2007.04.010
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 13
        StartPage: 356
    Subjects:
      – SubjectFull: Air pollution
        Type: general
      – SubjectFull: Pollution
        Type: general
      – SubjectFull: Polycyclic aromatic hydrocarbons
        Type: general
      – SubjectFull: Polycyclic aromatic compounds
        Type: general
      – SubjectFull: Aerosols & the environment
        Type: general
      – SubjectFull: Mathematical models
        Type: general
      – SubjectFull: Simulation methods & models
        Type: general
      – SubjectFull: North Sea
        Type: general
    Titles:
      – TitleFull: Adapting CMAQ to investigate air pollution in North Sea coastal regions
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            NameFull: Matthias, V.
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            NameFull: Aulinger, A.
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            NameFull: Quante, M.
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            – D: 01
              M: 03
              Text: Mar2008
              Type: published
              Y: 2008
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              Value: 13648152
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              Value: 23
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              Value: 3
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            – TitleFull: Environmental Modelling & Software
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