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A methodology for the design of an effective air quality monitoring network in port areas

The assessment of the impact of ship emissions is generally realised by a network of receptors at ground level inside the port area or in the nearby urban canopy. Another possibility is the use of dispersion models capable of providing maps of concentrations to the ground taking into account ship em...

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Autores principales: Mocerino, Luigia, Murena, Fabio, Quaranta, Franco, Toscano, Domenico
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6962330/
https://www.ncbi.nlm.nih.gov/pubmed/31941929
http://dx.doi.org/10.1038/s41598-019-57244-7
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author Mocerino, Luigia
Murena, Fabio
Quaranta, Franco
Toscano, Domenico
author_facet Mocerino, Luigia
Murena, Fabio
Quaranta, Franco
Toscano, Domenico
author_sort Mocerino, Luigia
collection PubMed
description The assessment of the impact of ship emissions is generally realised by a network of receptors at ground level inside the port area or in the nearby urban canopy. Another possibility is the use of dispersion models capable of providing maps of concentrations to the ground taking into account ship emissions and weather conditions. In this work traffic data of passengers ships in the port of Naples were used to estimate pollutant emissions starting from EMEP/EEA (European Environment Agency/European Monitoring and Evaluation Programme) methodology and real data of power engines. In this way, a hourly file of emission rates was produced and input to CALPUFF together with meteorological data. Then SO(2) concentrations at different heights (0–60 m) in correspondence of selected points within the port area were evaluated. Results are compared with data measured at ground level in monitoring campaigns showing how is possible to better identify and quantify the air pollution from ships in port by positioning the receptors inside the port area at different heights from ground-level. The results obtained give useful information for designing an optimum on-site air quality monitoring network able to quantify the emissions of pollutants due to naval traffic and to individuate the contribution of single ships or ships’ categories.
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spelling pubmed-69623302020-01-23 A methodology for the design of an effective air quality monitoring network in port areas Mocerino, Luigia Murena, Fabio Quaranta, Franco Toscano, Domenico Sci Rep Article The assessment of the impact of ship emissions is generally realised by a network of receptors at ground level inside the port area or in the nearby urban canopy. Another possibility is the use of dispersion models capable of providing maps of concentrations to the ground taking into account ship emissions and weather conditions. In this work traffic data of passengers ships in the port of Naples were used to estimate pollutant emissions starting from EMEP/EEA (European Environment Agency/European Monitoring and Evaluation Programme) methodology and real data of power engines. In this way, a hourly file of emission rates was produced and input to CALPUFF together with meteorological data. Then SO(2) concentrations at different heights (0–60 m) in correspondence of selected points within the port area were evaluated. Results are compared with data measured at ground level in monitoring campaigns showing how is possible to better identify and quantify the air pollution from ships in port by positioning the receptors inside the port area at different heights from ground-level. The results obtained give useful information for designing an optimum on-site air quality monitoring network able to quantify the emissions of pollutants due to naval traffic and to individuate the contribution of single ships or ships’ categories. Nature Publishing Group UK 2020-01-15 /pmc/articles/PMC6962330/ /pubmed/31941929 http://dx.doi.org/10.1038/s41598-019-57244-7 Text en © The Author(s) 2020 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Mocerino, Luigia
Murena, Fabio
Quaranta, Franco
Toscano, Domenico
A methodology for the design of an effective air quality monitoring network in port areas
title A methodology for the design of an effective air quality monitoring network in port areas
title_full A methodology for the design of an effective air quality monitoring network in port areas
title_fullStr A methodology for the design of an effective air quality monitoring network in port areas
title_full_unstemmed A methodology for the design of an effective air quality monitoring network in port areas
title_short A methodology for the design of an effective air quality monitoring network in port areas
title_sort methodology for the design of an effective air quality monitoring network in port areas
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6962330/
https://www.ncbi.nlm.nih.gov/pubmed/31941929
http://dx.doi.org/10.1038/s41598-019-57244-7
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