Abstract:
A synoptic climatological approach is applied to the study of weather air
quality relationships in Auckland. Ten synoptic weather types are identified
using a new, two-stage classification scheme that consists of obliquely
rotated T-mode principal component analysis (PCA) followed by K-means
clustering via Varimax rotated S-mode PCA. The weather types are analysed
in relation to local meteorology, and to nitrogen oxides concentrations
at two monitoring sites. Two anticyclonic weather types, characterised by
calm, cold and relatively humid morning rush hour local conditions, are
related to both high regional pollution and severe pollution episodes.
Weather types associated with strong and persistent local westsouthwesterly
winds help maintain good regional air quality due to enhanced
ventilation. Under unstable cyclonic synoptic types, characterized
by moderate to strong northerly winds, warm, humid, cloudy and rainy local
conditions, emissions from the Auckland Central Business District can have
significant air quality impacts on downwind residential areas. It is also
suggested that the synoptic determinants of solar radiation intensities as
well as temperatures appear important in controlling morning rush hour
nitrogen oxides conversion chemistry. The weather type-air quality relationships
vary to some extent from site to site due to the coupling of local
meteorology and spatial variations in major emission sources. The findings
demonstrate that the weather typing approach is not only capable of
reflecting the effects of conditions associated with both emissions and local
meteorology, but also provides an integrated evaluation of the impacts of
synoptic circulation on both regional meteorology and air quality.
Description:
A companion paper of
1) Jiang, N., Hay, J.E., Fisher, G.W., 2005. Effects of meteorological conditions on concentrations of nitrogen oxides in Auckland. Weather and Climate, 24, 15-34.
2) Jiang, N., Hay, J.E., Fisher, G.W., 2004. Classification of New Zealand synoptic weather types and relation to the Southern Oscillation Index. Weather and Climate, 23, 3-23.