Methodology choice could affect air quality interpretation? A case study for an international airport, Marco Polo, Venice.

Aircraft exhausts airport air quality impact emission estimate urban air quality

Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
10 Mar 2020
Historique:
received: 16 04 2019
revised: 26 10 2019
accepted: 30 10 2019
pubmed: 22 12 2019
medline: 22 12 2019
entrez: 22 12 2019
Statut: ppublish

Résumé

Venice Marco Polo Airport (VCE) is one of the most important airport of Italy, but is also placed in a delicate context; due to the proximity of the airport to the Venice historical city and the fragile ecosystem of the Lagoon that surround the city. For all these reasons the priority was to assess the possible impact of Marco Polo Airport in Venice area. For this reason a collaboration between Save Spa, the company that manage Marco Polo airport, and the Department of Environmental Sciences, Informatics and Statistics, of Ca' Foscari University was stated in order to: (I) understand the impact on air quality of an airport structure in a vulnerable context (II)analyze the airport emission trend (III) analyze how the number of flights and aircraft type can influence emission. During this collaboration two methodologies for emission estimation (EMEP-CORINAIR and Emissions and Dispersion Modeling System, EDMS) were tested in order to understand what was the best tool to estimate aircraft exhausts emissions. Results, reported in this paper show a deep difference between the two methods, with a general decrease in emission estimation using EDMS model, except in a NO

Identifiants

pubmed: 31864004
pii: S0048-9697(19)35318-5
doi: 10.1016/j.scitotenv.2019.135326
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

135326

Informations de copyright

Copyright © 2019 Elsevier B.V. All rights reserved.

Auteurs

Elena Innocente (E)

Department of Environmental Sciences, Informatics and Statistics (DAIS), Università Ca' Foscari Venezia, Campus scientifico, Via Torino 155, 30172 Mestre VE, Italy. Electronic address: elena.innocente@unive.it.

Eliana Pecorari (E)

Department of Environmental Sciences, Informatics and Statistics (DAIS), Università Ca' Foscari Venezia, Campus scientifico, Via Torino 155, 30172 Mestre VE, Italy.

Daniele Zannoni (D)

Department of Environmental Sciences, Informatics and Statistics (DAIS), Università Ca' Foscari Venezia, Campus scientifico, Via Torino 155, 30172 Mestre VE, Italy; Institute of Condensed Matter Chemistry and Energy Technologies, Italian National Research Council, C.so StatiUniti 4, Padova, 35127, Italy.

Giancarlo Rampazzo (G)

Department of Environmental Sciences, Informatics and Statistics (DAIS), Università Ca' Foscari Venezia, Campus scientifico, Via Torino 155, 30172 Mestre VE, Italy.

Classifications MeSH