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Air Quality Modelling For Ireland, Aoife Donnelly, Bruce Misstear, Brian Broderick
Air Quality Modelling For Ireland, Aoife Donnelly, Bruce Misstear, Brian Broderick
Reports
Air pollution is the primary environmental cause of premature death in the EU (European Commission, 2013) and the most problematic pollutants across Europe have consistently been oxides of nitrogen (e.g. nitrogen dioxide (NO2)), particulate matter (e.g. PM10, PM2.5) and ozone (O3). While measurements form an important aspect of air quality assessment, on their own they are unlikely to be sufficient to provide an accurate spatial and temporal description of the pollutant concentrations for exposure assessment and moreover they cannot provide information regarding future air quality. Annex XVI of 2008/50/EC requires member states …
Short Term Forecasting Of Nitrogen Dioxide (No2) Levels Using A Hybrid Statistical And Air Mass History Modelling Approach, Aoife Donnelly, Owen Naughton, Brian Broderick, Bruce Misstear
Short Term Forecasting Of Nitrogen Dioxide (No2) Levels Using A Hybrid Statistical And Air Mass History Modelling Approach, Aoife Donnelly, Owen Naughton, Brian Broderick, Bruce Misstear
Articles
A novel hybrid model has been developed to support the provision of real-time air quality forecasts. Statistical techniques have been applied in parallel with airmass history modelling to provide an efficient and accurate forecasting system with the ability to identify high NO2 events, which tend to be the episodes ofmost significance in Ireland. Airmass history modelling and k-means clustering are used to identify air mass types that lead to high NO2 levels in Ireland. Trajectory matching techniques allow data associated with these air masses to be partitioned during model development. Non-parametric regression (NPR) has been applied to describe nonlinear variations …
Maximizing The Spatial Representativeness Of No2 Monitoring Data Using A Combination Of Local Wind-Based Sectoral Division And Seasonal And Diurnal Correction Factors, Aoife Donnelly, Owen Naughton, Bruce Misstear, Brian Broderick
Maximizing The Spatial Representativeness Of No2 Monitoring Data Using A Combination Of Local Wind-Based Sectoral Division And Seasonal And Diurnal Correction Factors, Aoife Donnelly, Owen Naughton, Bruce Misstear, Brian Broderick
Articles
This article describes a new methodology for increasing the spatial representativeness of individual monitoring sites. Air pollution levels at a given point are influenced by emission sources in the immediate vicinity. Since emission sources are rarely uniformly distributed around a site, concentration levels will inevitably be most affected by the sources in the prevailing upwind direction. The methodology provides a means of capturing this effect and providing additional information regarding source/pollution relationships. The methodology allows for the division of the air quality data from a given monitoring site into a number of sectors or wedges based on wind direction and …