Home |  English version |  Mappa |  Commenti |  Sondaggio |  Staff |  Contattaci Cerca nel sito  
Istituto sull'inquinamento atmosferico

Torna all'elenco Contributi in rivista anno 2015

Contributo in rivista

Tipo: Articolo in rivista

Titolo: Impact of grid resolution on aerosol predictions: a case study over Italy

Anno di pubblicazione: 2015

Formato: Elettronico Cartaceo

Autori: Mihaela Mircea1*, Georgiana Grigoras3, Massimo D'Isidoro1, Gaia Righini1, Mario Adani1, Gino Briganti1, Luisella Ciancarella1, Andrea Cappelletti1, Giuseppe Calori2, Irene Cionni1, Giuseppe Cremona1, Sandro Finardi2, Bo R. Larsen4, Giandomenico Pace6, Cinzia Perrino5, Antonio Piersanti1, Camillo Silibello2, Lina Vitali1, Gabriele Zanini1

Affiliazioni autori: 1ENEA - National Agency for New Technologies, Energy and Sustainable Economic Development, via Martiri di Monte Sole 4, 40129 Bologna, Italy 2ARIANET Srl, via Gilino 9, 20128, Milan, Italy 3National Institute for Research and Development in Environmental Protection, 294 Splaiul Independentei, 6th District, 060031, Bucharest, Romania 4European Commission, Joint Research Centre, Institute for Health and Consumer Protection, Via Enrico Fermi 2749, Ispra (VA) 21027, Italy 5C.N.R. Institute of Atmospheric Pollution, Via Salaria Km. 29,300 - 00015 Monterotondo St., Rome, Italy 6Laboratory for Earth Observations and Analyses, ENEA, Via Anguillarese 301, 00123 Roma, Italy.

Autori CNR:

  • CINZIA PERRINO

Lingua: inglese

Abstract: This study investigates the effect of grid resolution on the particulate matter (PM10, PM2.5) mass concentrations and its chemical composition simulated with the AMS-MINNI modelling system. The air pollution was simulated over Italy with grid resolutions of 20 and 4 km, for a whole year. The gridded emissions were produced performing speciation and space-time disaggregation of aggregated inventory data, using both land use information and anthropogenic activity-based profiles. Often, the fine grid simulations, based on high resolution gridded emissions, improved the agreement between model and measurements. In particular, the use of a fine grid improved predictions of primary species such as elemental carbon (EC), PM10 and PM2.5 mainly at urban stations. An improvement of predicted PM components and mass concentration at high altitudes sites was also observed, especially during winter. However, a general overestimation of nitrate (NO- 3) and of secondary inorganic species, more evident at night than during the day, was increased by employing a finer grid. Organic carbon (OC) was more affected by the grid resolution than the other species. At urban and kerbside stations, the use of a finer grid resulted in an overestimation of primary organic carbon aerosol (POC) but had a negligible effect on secondary organic carbon aerosol (SOC). The overestimation of carbonaceous aerosol (defined as the sum of EC, POC and SOC), at an urban station, opposite to general underestimation of this component by air quality (AQ) models, indicates that the anthropogenic emissions can contribute as much as organic model formulation at the success of simulation in reproducing experimental data.

Lingua abstract: inglese

Rivista:

Aerosol and air quality research Chinese Association for Aerosol Research in Taiwan
Paese di pubblicazione: Taiwan
Lingua: inglese
ISSN: 1680-8584

Referee: Sė: Internazionale

Stato della pubblicazione: Preprint

Parole chiave:

  • Horizontal grid resolution
  • Aerosol chemical composition
  • PM10
  • PM2.5
  • Air quality modelling.

Strutture CNR:

 
Torna indietro Richiedi modifiche Invia per email Stampa
Home Il CNR  |  I servizi News |   Eventi | Istituti |  Focus