Sorry, you need to enable JavaScript to visit this website.

Impact of horizontal grid resolution on air quality modeling: A case study over Italy

TitleImpact of horizontal grid resolution on air quality modeling: A case study over Italy
Publication TypePresentazione a Congresso
Year of Publication2010
AuthorsMircea, Mihaela, Cappelletti Andrea, Briganti Gino, Vitali Lina, Pace Giandomenico, Marri P., Silibello C., Finardi S., Calori G., and Zanini Gabriele
Conference NameHARMO 2010 - Proceedings of the 13th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes
PublisherARIA Technologies
ISBN Number9782868150622
KeywordsAir pollution, Air quality, Atmospheric movements, Boundary layers, Coastal zones, Formation and evolutions, Geographic characteristics, High spatial resolution, Integrated assessment modelling, Model validation, Ozone, Pollutant concentration, Pollution, Precipitation (meteorology), Soil pollution, Spatial and temporal distribution, spatial resolution
Abstract

The results of air quality models are highly influenced by meteorology and emission inventory. At high spatial resolutions, the meteorological models can capture in a more realistic way the effect of the orography, the interactions between soil/vegetation and atmosphere, the dynamics of the boundary layer, the sea-breezes circulation in the coastal zones, the formation and evolution of clouds and precipitation, etc. Moreover, the emissions produced using local information can capture better both the spatial and temporal distribution of pollution. This study investigates the change in pollutant concentrations in relation to the change of horizontal grid resolution. The analysis is carried out for stations located in zones with different geographic characteristics (mountain, coast, etc) and of different types (rural, urban). The simulations are performed with the Atmospheric Modelling System (AMS), part of the MINNI modelling system (Italian Integrated Assessment Modelling System), for emissions based on municipal and provincial inventories.

URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84891036314&partnerID=40&md5=4bccd4d02022b1a7a37c18a8900b4acb
Citation KeyMircea2010166