Ozone and particle fluxes in a Mediterranean forest predicted by the AIRTREE model.

GPP Modelling ozone fluxes Multi-layer model Ozone-risk assessment Particles

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 Sep 2019
Historique:
received: 04 04 2019
revised: 07 05 2019
accepted: 08 05 2019
pubmed: 28 5 2019
medline: 28 5 2019
entrez: 27 5 2019
Statut: ppublish

Résumé

Mediterranean forests are among the most threatened ecosystems by the concurrent effects of climate change and atmospheric pollution. In this work we parameterized the AIRTREE multi-layer model to predict CO

Identifiants

DOI: 10.1016/j.scitotenv.2019.05.109 PMID: 31129537
pubmed: 31129537
pii: S0048-9697(19)32132-1
doi: 10.1016/j.scitotenv.2019.05.109
pii:
doi:

Types de publication

Journal Article

Langues

eng

Pagination

494-504

Informations de copyright

Copyright © 2018. Published by Elsevier B.V.

Auteurs

Silvano Fares (S)

Council for Agricultural Research and Economics (CREA), Research Centre for Forestry and Wood, Via Valle della Quistione 27, 00166 Rome, Italy. Electronic address: silvano.fares@crea.gov.it.

Alessandro Alivernini (A)

Council for Agricultural Research and Economics (CREA), Research Centre for Forestry and Wood, Via Valle della Quistione 27, 00166 Rome, Italy.

Adriano Conte (A)

Council for Agricultural Research and Economics (CREA), Research Centre for Forestry and Wood, Via Valle della Quistione 27, 00166 Rome, Italy.

Federico Maggi (F)

Environmental Engineering, School of Civil Engineering, The University of Sydney, 2006 Sydney, NSW, Australia.

Classifications MeSH