In the present study, scenario simulations are performed by integratingship performance prediction models with meteo-marine forecasting and pollutantsemissions transport models. By considering the detailed simulation of seakeepingand powering performance of a ship along predefined routes, in different realisticmeteo-marine conditions, the concentration of the emitted pollutants and their fatein the atmosphere are analysed. The relationship between the increase of pollutantsemissions due to adverse meteo-marine conditions and the corresponding pollutantdiffusion characteristics of the ensuing atmospheric dynamics is investigated. Inthis paper the authors report the results of the first part of the study, finalized tobetter comprehend the numerical implementation details of an integrated systemaimed at forecasting the powering performance and corresponding pollutantemissions impact based on realistic meteo-marine conditions and ship data.

Air quality simulations and forecasting of along-route ship emissions in realistic meteo-marine scenarios

F Calastrini;
2018

Abstract

In the present study, scenario simulations are performed by integratingship performance prediction models with meteo-marine forecasting and pollutantsemissions transport models. By considering the detailed simulation of seakeepingand powering performance of a ship along predefined routes, in different realisticmeteo-marine conditions, the concentration of the emitted pollutants and their fatein the atmosphere are analysed. The relationship between the increase of pollutantsemissions due to adverse meteo-marine conditions and the corresponding pollutantdiffusion characteristics of the ensuing atmospheric dynamics is investigated. Inthis paper the authors report the results of the first part of the study, finalized tobetter comprehend the numerical implementation details of an integrated systemaimed at forecasting the powering performance and corresponding pollutantemissions impact based on realistic meteo-marine conditions and ship data.
2018
Istituto di Biometeorologia - IBIMET - Sede Firenze
pollutants
ships
meteo
File in questo prodotto:
File Dimensione Formato  
prod_451752-doc_165886.pdf

accesso aperto

Descrizione: NAV2018_marino052.pdf
Tipologia: Versione Editoriale (PDF)
Licenza: Creative commons
Dimensione 1.67 MB
Formato Adobe PDF
1.67 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/402242
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? 2
social impact