PAPILA dataset : a regional emission inventory of reactive gases for South America based on the combination of local and global information (resumen)

The multidisciplinary project Prediction of Air Pollution in Latin America and the Caribbean (PAPILA) is dedicated to the development and implementation of an air quality analysis and forecasting system to assess pollution impacts on human health and economy. In this context, a comprehensive emissi...

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Autor principal: Puliafito, Enrique
Formato: Artículo acceptedVersion
Lenguaje:Inglés
Publicado: 2024
Materias:
Emissions inventory, Sout America, Regional model, Reactive gases
Acceso en línea:http://hdl.handle.net/20.500.12272/11274
https://doi.org/10.5194/essd-14-271- 2022
Aporte de:
RIA - Repositorio Institucional Abierto (UTN) de Universidad Tecnológica Nacional
id I68-R174-20.500.12272-11274
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spelling I68-R174-20.500.12272-112742024-08-08T13:27:37Z PAPILA dataset : a regional emission inventory of reactive gases for South America based on the combination of local and global information (resumen) Puliafito, Enrique Emissions inventory, Sout America, Regional model, Reactive gases The multidisciplinary project Prediction of Air Pollution in Latin America and the Caribbean (PAPILA) is dedicated to the development and implementation of an air quality analysis and forecasting system to assess pollution impacts on human health and economy. In this context, a comprehensive emission inventory for South America was developed on the basis of the existing data on the global dataset CAMS-GLOB-ANT v4.1 (developed by joining CEDS trends and EDGAR v4.3.2 historical data), enriching it with data derived from locally available emission inventories for Argentina, Chile, and Colombia. This work presents the results of the first joint effort of South American researchers and European colleagues to generate regional maps of emissions, together with a methodological approach to continue incorporating information into future versions of the dataset. This version of the PAPILA dataset includes CO, NOx, NMVOCs, NH3, and SO2 annual emissions from anthropogenic sources for the period 2014–2016, with a spatial resolution of 0.1◦ 0.1◦ over a domain that covers 32–120◦ W and 34◦ N–58◦ S. The PAPILA dataset is presented as netCDF4 files and is available in an openaccess data repository under a CC-BY 4 license: https://doi.org/10.17632/btf2mz4fhf.3 (Castesana et al., 2021). A comparative assessment of PAPILA–CAMS datasets was carried out for (i) the South American region, (ii) the countries with local data (Argentina, Colombia, and Chile), and (iii) downscaled emission maps for urban domains with different environmental and anthropogenic factors. Relevant differences were found at both country and urban levels for all the compounds analyzed. Among them, we found that when comparing PAPILA total emissions versus CAMS datasets at the national level, higher levels of NOx and considerably lower levels of the other species were obtained for Argentina, higher levels of SO2 and lower levels of CO and NOx for Colombia, and considerably higher levels of CO, NMVOCs, and SO2 for Chile. These discrepancies are mainly related to the representativeness of local practices in the local emission estimates, to the improvements made in the spatial distribution of the locally estimated emissions, or to both. Both datasets were evaluated against surface concentrations of CO and NOx by using them as input data to the WRF-Chem model for one of the analyzed domains, the metropolitan area of Buenos Aires, for summer and winter of 2015. PAPILA-based modeling results had a smaller bias for CO and NOx concentrations in winter while CAMS-based results for the same period tended to deliver an underestimation of these concentrations. Both inventories exhibited similar performances for CO in summer, while the PAPILA simulation outperformed CAMS for NOx concentrations. These results highlight the importance of refining global inventories with local data to obtain accurate results with high-resolution air quality models. Universidad Tecnológica Nacional. Facultad Regional Mendoza, Argentina Peer Reviewed 2024-08-08T13:27:36Z 2024-08-08T13:27:36Z 2022-06-01 info:eu-repo/semantics/article acceptedVersion Earth Syst. Sci. Data http://hdl.handle.net/20.500.12272/11274 https://doi.org/10.5194/essd-14-271- 2022 eng openAccess http://creativecommons.org/publicdomain/zero/1.0/ CC0 1.0 Universal Universidad Tecnológica Nacional. Facultad Regional Mendoza CC BY (Autoría) CC BY-NC (Autoría – No Comercial) pdf Earth Syst. Sci. Data 14, 271–293. (2022)
institution Universidad Tecnológica Nacional
institution_str I-68
repository_str R-174
collection RIA - Repositorio Institucional Abierto (UTN)
language Inglés
topic Emissions inventory, Sout America, Regional model, Reactive gases
spellingShingle Emissions inventory, Sout America, Regional model, Reactive gases
Puliafito, Enrique
PAPILA dataset : a regional emission inventory of reactive gases for South America based on the combination of local and global information (resumen)
topic_facet Emissions inventory, Sout America, Regional model, Reactive gases
description The multidisciplinary project Prediction of Air Pollution in Latin America and the Caribbean (PAPILA) is dedicated to the development and implementation of an air quality analysis and forecasting system to assess pollution impacts on human health and economy. In this context, a comprehensive emission inventory for South America was developed on the basis of the existing data on the global dataset CAMS-GLOB-ANT v4.1 (developed by joining CEDS trends and EDGAR v4.3.2 historical data), enriching it with data derived from locally available emission inventories for Argentina, Chile, and Colombia. This work presents the results of the first joint effort of South American researchers and European colleagues to generate regional maps of emissions, together with a methodological approach to continue incorporating information into future versions of the dataset. This version of the PAPILA dataset includes CO, NOx, NMVOCs, NH3, and SO2 annual emissions from anthropogenic sources for the period 2014–2016, with a spatial resolution of 0.1◦ 0.1◦ over a domain that covers 32–120◦ W and 34◦ N–58◦ S. The PAPILA dataset is presented as netCDF4 files and is available in an openaccess data repository under a CC-BY 4 license: https://doi.org/10.17632/btf2mz4fhf.3 (Castesana et al., 2021). A comparative assessment of PAPILA–CAMS datasets was carried out for (i) the South American region, (ii) the countries with local data (Argentina, Colombia, and Chile), and (iii) downscaled emission maps for urban domains with different environmental and anthropogenic factors. Relevant differences were found at both country and urban levels for all the compounds analyzed. Among them, we found that when comparing PAPILA total emissions versus CAMS datasets at the national level, higher levels of NOx and considerably lower levels of the other species were obtained for Argentina, higher levels of SO2 and lower levels of CO and NOx for Colombia, and considerably higher levels of CO, NMVOCs, and SO2 for Chile. These discrepancies are mainly related to the representativeness of local practices in the local emission estimates, to the improvements made in the spatial distribution of the locally estimated emissions, or to both. Both datasets were evaluated against surface concentrations of CO and NOx by using them as input data to the WRF-Chem model for one of the analyzed domains, the metropolitan area of Buenos Aires, for summer and winter of 2015. PAPILA-based modeling results had a smaller bias for CO and NOx concentrations in winter while CAMS-based results for the same period tended to deliver an underestimation of these concentrations. Both inventories exhibited similar performances for CO in summer, while the PAPILA simulation outperformed CAMS for NOx concentrations. These results highlight the importance of refining global inventories with local data to obtain accurate results with high-resolution air quality models.
format Artículo
acceptedVersion
author Puliafito, Enrique
author_facet Puliafito, Enrique
author_sort Puliafito, Enrique
title PAPILA dataset : a regional emission inventory of reactive gases for South America based on the combination of local and global information (resumen)
title_short PAPILA dataset : a regional emission inventory of reactive gases for South America based on the combination of local and global information (resumen)
title_full PAPILA dataset : a regional emission inventory of reactive gases for South America based on the combination of local and global information (resumen)
title_fullStr PAPILA dataset : a regional emission inventory of reactive gases for South America based on the combination of local and global information (resumen)
title_full_unstemmed PAPILA dataset : a regional emission inventory of reactive gases for South America based on the combination of local and global information (resumen)
title_sort papila dataset : a regional emission inventory of reactive gases for south america based on the combination of local and global information (resumen)
publishDate 2024
url http://hdl.handle.net/20.500.12272/11274
https://doi.org/10.5194/essd-14-271- 2022
work_keys_str_mv AT puliafitoenrique papiladatasetaregionalemissioninventoryofreactivegasesforsouthamericabasedonthecombinationoflocalandglobalinformationresumen
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