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Physical Sciences and Mathematics

Non-parametric regression

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Full-Text Articles in Engineering

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 Sep 2016

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 Jan 2016

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 …