Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloThe role of emissions and meteorology in driving CO2 concentrations in urban areas
Anno di pubblicazione2021
FormatoElettronico
Autore/iGiovanni Gualtieri, Sara Di Lonardo, Federico Carotenuto, Piero Toscano, Carolina Vagnoli, Alessandro Zaldei, Beniamino Gioli
Affiliazioni autoriNational Research Council-Institute of BioEconomy (CNR-IBE); National Research Council-Research Institute on Terrestrial Ecosystems (CNR-IRET)
Autori CNR e affiliazioni
  • FEDERICO CAROTENUTO
  • ALESSANDRO ZALDEI
  • GIOVANNI GUALTIERI
  • BENIAMINO GIOLI
  • PIERO TOSCANO
  • CAROLINA VAGNOLI
  • SARA DI LONARDO
Lingua/e
  • inglese
AbstractA multi-year dataset of measurements of CO2 concentrations, eddy covariance fluxes and meteorological parameters over the city centre of Florence (Italy) has been analyzed to assess the role of anthropogenic emissions and meteorology in controlling urban CO2 concentrations.The latter exhibited a negative correlation with air temperature, wind speed, solar radiation and sensible heat flux, and a positive one with relative humidity and emissions. A linear and an artificial neural network (ANN) model have been developed and validated for short-term modelling of 3-h CO2 concentrations. The ANN model performed better, with mean bias of 0.58 ppm, root mean square error within 30 ppm, and r2=0.49. Data clustering through the Self-Organized Maps allowed to disentangle the role played by emissions and meteorological parameters in influencing CO2 concentrations. Sensitivity analysis of CO2 concentrations revealed a primary role played by the meteorological parameters, particularly wind speed. These results highlighted that: (i) emission reduction actions at local urban scale should be better tied to actual and expected meteorological conditions, and (ii) those actions alone have limited effects (e.g. a 20% emission reduction would result in a 3% CO2 concentrations reduction). For all these reasons, large-scale policies would be needed.
Lingua abstractinglese
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RivistaEnvironmetal science and pollution research international (Internet)
Attiva dal 1998
Editore: Springer - Berlin
Paese di pubblicazione: Germania
Lingua: inglese
ISSN: 1614-7499
Titolo chiave: Environmetal science and pollution research international (Internet)
Titolo proprio: Environmental science and pollution research international. (Internet)
Titolo abbreviato: Environ. sci. pollut. res. int. (Internet)
Titoli alternativi:
  • Environmental science and pollution research (Internet)
  • ESPR (Internet) (Internet)
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DOI10.1007/s11356-021-12754-8
Verificato da refereeSì: Internazionale
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)-
Parole chiaveEddy covariance, CO2 concentrations, urban CO2 fluxes, Meteorological conditions, Artificial neural network, Self-organized maps
Link (URL, URI)http://link.springer.com/article/10.1007/s11356-021-12754-8
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Strutture CNR
  • IRET — Istituto di Ricerca sugli Ecosistemi Terrestri
  • IBE — Istituto per la BioEconomia
Moduli/Attività/Sottoprogetti CNR-
Progetti Europei-
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