Quantifying the influence of local meteorology on air quality using generalized additive models

• Published in: Atmospheric environment (1994) 2011-02, Vol.45 (6), p.1328-1336
• Main Authors: Pearce, John L., Beringer, Jason, Nicholls, Neville, Hyndman, Rob J., Tapper, Nigel J.
• Format: Article
• Language: English
• Subjects: Additives; air; Air pollution; Air quality; Applied sciences; atmospheric chemistry; Atmospheric pollution; Climate change; Drivers; emissions; Exact sciences and technology; Generalized additive models; Marine; Mathematical models; Meteorology; Nitrogen dioxide; ozone; pollutants; Pollution; sea level; temperature; vapor pressure; variance; Water vapor; wind
• ISSN: 1352-2310; 1873-2844
• DOI: 10.1016/j.atmosenv.2010.11.051

Recent acknowledgement of the sensitivity of air quality to changes in climate has initiated a closer examination of the relationships between meteorology and air quality. This paper presents the estimated response of daily air pollutant concentrations in Melbourne, Australia to local-scale meteorology. The meteorological-pollutant relationships have been assessed after controlling for long-term trends, seasonality, weekly emissions, spatial variation, and temporal persistence using the framework of generalized additive models (GAMs). Overall, results found that the aggregate impact of meteorological variables in the models explained 26.3% of the variance in O 3, 21.1% in PM 10, and 26.7% in NO 2. This indicates that meteorology – at the local-scale, is a relatively strong driver of air quality in Melbourne. Analysis of partial residuals plots found that changes in temperature, particularly when above 35 °C, resulted in the strongest positive response for O 3 (150%), PM 10 (150%) and NO 2 (120%). Other variables (boundary layer height, winds, water vapor pressure, radiation, precipitation, and mean sea-level pressure) displayed some importance for one or more of the pollutants, but their impact in the models was less pronounced. In sum, we provide results that form a solid foundation for understanding the importance of local-scale meteorology as a driver of regional air pollution. Additionally, these results can be used to provide a window into how changes in climate may affect air quality. ►PM 10, and NO 2 all show significant responses to local-scale meteorology. ►Temperature changes are the strongest meteorological driver of air pollution. ►Boundary layer height, winds, and water vapor pressure are also important. ►Results suggest that climate change may worsen air quality.