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Atmospheric dispersion modelling of gaseous emissions from Beirutinternational airport activities

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  • معلومة اضافية
    • Contributors:
      Institut de chimie et procédés pour l'énergie, l'environnement et la santé (ICPEES); Université de Strasbourg (UNISTRA)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE); Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS); Université Saint-Joseph de Beyrouth (USJ); Unité de Recherche Environnement, Génomique Fonctionnelle et Études Mathématiques [Beyrouth] (UR-EGFEM); This research was funded by the Research Council at Saint Joseph University and supported by Strasbourg University and Campus France.; Le Calvé, Stéphane
    • بيانات النشر:
      American Institute of Mathematical Sciences (AIMS), 2022.
    • الموضوع:
      2022
    • نبذة مختصرة :
      The projected increase of civil aviation activity, the degradation of air quality and the location of Beirut Airport embedded in a very urbanized area, in addition to the special geography and topography surrounding the airport which plays a significant role in drawing emissions to larger distances, demanded anassessment of the spatial impact of the airport activities on the air quality of Beirut and its suburbs. This is the first study in the Middle East region that model pollutant concentrations resulting from an international airport's activities using an advanced atmospheric dispersion modelling system in a country with no data. This followed validation campaigns showing very strong correlations (r = 0.85) at validation sites as close as possible to emission sources. The modelling results showed extremely high NO2 concentrations within the airport vicinity, i.e., up to 110 μg∙m-3 (which is greater than the World Health Organization annual guidelines) posing a health hazard to the workers in the ramp. The major contribution of Beirut–Rafic Hariri International Airport to the degradation of air quality was in the airport vicinity; however, it extended to Beirut and its suburbs in addition to affecting the seashore area due to emissions along the aircraft trajectory; this isan aspect rarely considered in previous studies. On the other hand, elevated volatile organic compound levels were observed near the fuel tanks and at the aerodrome center. This study provides (ⅰ) a methodology to assess pollutant concentrations resulting from airport emissions through the use of an advanced dispersion model in a country with no data; and (ⅱ) a tool for policy makers to better understand the contribution of the airport's operations to national pollutant emissions, which is vital for mitigation strategies and health impact assessments.
    • File Description:
      application/pdf
    • ISSN:
      2372-0352
      2372-0344
    • الرقم المعرف:
      10.3934/environsci.2022033
    • الرقم المعرف:
      10.3934/environsci.2022033⟩
    • Rights:
      OPEN
    • الرقم المعرف:
      edsair.doi.dedup.....5cfa5bfec4a174b7beae64b58acf5aa3