Cargando…
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...
Autores principales: | , , , |
---|---|
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 |
_version_ | 1783488141953335296 |
---|---|
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. |
format | Online Article Text |
id | pubmed-6962330 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT mocerinoluigia amethodologyforthedesignofaneffectiveairqualitymonitoringnetworkinportareas AT murenafabio amethodologyforthedesignofaneffectiveairqualitymonitoringnetworkinportareas AT quarantafranco amethodologyforthedesignofaneffectiveairqualitymonitoringnetworkinportareas AT toscanodomenico amethodologyforthedesignofaneffectiveairqualitymonitoringnetworkinportareas AT mocerinoluigia methodologyforthedesignofaneffectiveairqualitymonitoringnetworkinportareas AT murenafabio methodologyforthedesignofaneffectiveairqualitymonitoringnetworkinportareas AT quarantafranco methodologyforthedesignofaneffectiveairqualitymonitoringnetworkinportareas AT toscanodomenico methodologyforthedesignofaneffectiveairqualitymonitoringnetworkinportareas |