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Updated national emission inventory and comparison with the Emissions Database for Global Atmospheric Research (EDGAR): case of Lebanon

Physically based computational modeling is an effective tool for estimating and predicting the spatial distribution of pollutant concentrations in complex environments. A detailed and up-to-date emission inventory is one of the most important components of atmospheric modeling and a prerequisite for...

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Autores principales: Shami, Anwar Al, Aawar, Elissar Al, Baayoun, Abdelkader, Saliba, Najat A., Kushta, Jonilda, Christoudias, Theodoros, Lakkis, Issam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9001561/
https://www.ncbi.nlm.nih.gov/pubmed/34997520
http://dx.doi.org/10.1007/s11356-021-17562-8
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author Shami, Anwar Al
Aawar, Elissar Al
Baayoun, Abdelkader
Saliba, Najat A.
Kushta, Jonilda
Christoudias, Theodoros
Lakkis, Issam
author_facet Shami, Anwar Al
Aawar, Elissar Al
Baayoun, Abdelkader
Saliba, Najat A.
Kushta, Jonilda
Christoudias, Theodoros
Lakkis, Issam
author_sort Shami, Anwar Al
collection PubMed
description Physically based computational modeling is an effective tool for estimating and predicting the spatial distribution of pollutant concentrations in complex environments. A detailed and up-to-date emission inventory is one of the most important components of atmospheric modeling and a prerequisite for achieving high model performance. Lebanon lacks an accurate inventory of anthropogenic emission fluxes. In the absence of a clear emission standard and standardized activity datasets in Lebanon, this work serves to fill this gap by presenting the first national effort to develop a national emission inventory by exhaustively quantifying detailed multisector, multi-species pollutant emissions in Lebanon for atmospheric pollutants that are internationally monitored and regulated as relevant to air quality. Following the classification of the Emissions Database for Global Atmospheric Research (EDGAR), we present the methodology followed for each subsector based on its characteristics and types of fuels consumed. The estimated emissions encompass gaseous species (CO, NO(x), SO(2)), and particulate matter (PM(2.5) and PM(10)). We compare totals per sector obtained from the newly developed national inventory with the international EDGAR inventory and previously published emission inventories for the country for base year 2010 presenting current discrepancies and analyzing their causes. The observed discrepancies highlight the fact that emission inventories, especially for data-scarce settings, are highly sensitive to the activity data and their underlying assumptions, and to the methodology used to estimate the emissions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11356-021-17562-8.
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spelling pubmed-90015612022-04-27 Updated national emission inventory and comparison with the Emissions Database for Global Atmospheric Research (EDGAR): case of Lebanon Shami, Anwar Al Aawar, Elissar Al Baayoun, Abdelkader Saliba, Najat A. Kushta, Jonilda Christoudias, Theodoros Lakkis, Issam Environ Sci Pollut Res Int Research Article Physically based computational modeling is an effective tool for estimating and predicting the spatial distribution of pollutant concentrations in complex environments. A detailed and up-to-date emission inventory is one of the most important components of atmospheric modeling and a prerequisite for achieving high model performance. Lebanon lacks an accurate inventory of anthropogenic emission fluxes. In the absence of a clear emission standard and standardized activity datasets in Lebanon, this work serves to fill this gap by presenting the first national effort to develop a national emission inventory by exhaustively quantifying detailed multisector, multi-species pollutant emissions in Lebanon for atmospheric pollutants that are internationally monitored and regulated as relevant to air quality. Following the classification of the Emissions Database for Global Atmospheric Research (EDGAR), we present the methodology followed for each subsector based on its characteristics and types of fuels consumed. The estimated emissions encompass gaseous species (CO, NO(x), SO(2)), and particulate matter (PM(2.5) and PM(10)). We compare totals per sector obtained from the newly developed national inventory with the international EDGAR inventory and previously published emission inventories for the country for base year 2010 presenting current discrepancies and analyzing their causes. The observed discrepancies highlight the fact that emission inventories, especially for data-scarce settings, are highly sensitive to the activity data and their underlying assumptions, and to the methodology used to estimate the emissions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11356-021-17562-8. Springer Berlin Heidelberg 2022-01-08 2022 /pmc/articles/PMC9001561/ /pubmed/34997520 http://dx.doi.org/10.1007/s11356-021-17562-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Shami, Anwar Al
Aawar, Elissar Al
Baayoun, Abdelkader
Saliba, Najat A.
Kushta, Jonilda
Christoudias, Theodoros
Lakkis, Issam
Updated national emission inventory and comparison with the Emissions Database for Global Atmospheric Research (EDGAR): case of Lebanon
title Updated national emission inventory and comparison with the Emissions Database for Global Atmospheric Research (EDGAR): case of Lebanon
title_full Updated national emission inventory and comparison with the Emissions Database for Global Atmospheric Research (EDGAR): case of Lebanon
title_fullStr Updated national emission inventory and comparison with the Emissions Database for Global Atmospheric Research (EDGAR): case of Lebanon
title_full_unstemmed Updated national emission inventory and comparison with the Emissions Database for Global Atmospheric Research (EDGAR): case of Lebanon
title_short Updated national emission inventory and comparison with the Emissions Database for Global Atmospheric Research (EDGAR): case of Lebanon
title_sort updated national emission inventory and comparison with the emissions database for global atmospheric research (edgar): case of lebanon
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9001561/
https://www.ncbi.nlm.nih.gov/pubmed/34997520
http://dx.doi.org/10.1007/s11356-021-17562-8
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