Gasbarra, Daniele (2020) Anthropogenic methane emissions in Campania region. [Tesi di dottorato]

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Item Type: Tesi di dottorato
Resource language: English
Title: Anthropogenic methane emissions in Campania region
Creators:
CreatorsEmail
Gasbarra, Danieledanielegasbarra@yahoo.it
Date: 11 March 2020
Number of Pages: 144
Institution: Università degli Studi di Napoli Federico II
Department: Biologia
Dottorato: Biologia
Ciclo di dottorato: 32
Coordinatore del Corso di dottorato:
nomeemail
Cozzolino, Salvatorecozzolin@unina.it
Tutor:
nomeemail
Arena, CarmenUNSPECIFIED
Date: 11 March 2020
Number of Pages: 144
Keywords: Landfills, livestock, methane emissions
Settori scientifico-disciplinari del MIUR: Area 05 - Scienze biologiche > BIO/07 - Ecologia
Date Deposited: 26 Mar 2020 08:33
Last Modified: 10 Nov 2021 09:57
URI: http://www.fedoa.unina.it/id/eprint/13073

Collection description

In this work an estimation of anthropogenic CH4 emission from the Campania region is presented by studying two different anthropic ecosystems that can be considered most relevant sources for the whole regional territory: landfills, which account for a percentage of about 45% of the total regional emission, and agricultural (crops and livestock activities) which account for a percentage of about 35%.Two different approaches were deployed for the retrievals of CH4 fluxes. Landfills emissions are characterized by large heterogeneity, with several hot-spots emitting with different magnitude and spread over the whole landfills domain. In this context, point measurements cannot provide a reliable picture of the emission field and also the footprint of EC measurements cannot be considered representative for the whole study domain. Aircraft measurements could be considered a powerful instrument to overcome this issue, covering the entire study domain. For this purpose a novel biogas payload for airborne CH4 measurements has been developed. On the other hand, GHGs emissions from agricultural field, generally show a uniform emission pattern and EC technique could provide a reliable estimates of the emissions. The proximity of the measurements site with a water buffalo farm allowed also the investigations of CH4 enteric emissions using measurements coupled with Lagrangian simulation.

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