作者: Jagoda Crawford , Scott Chambers , David D. Cohen , Alastair Williams , Alan Griffiths
DOI: 10.1016/J.ATMOSENV.2016.09.025
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摘要: Abstract Ion Beam Analysis (IBA) techniques were used to assign nine years of PM2.5 observations seven source types, at Lucas Heights, a topographically complex urban fringe site Sydney. The highest contributions total from motor vehicles (Autos, 26.3%), secondary sulfur (2ndryS, 23.7%), mixture industry and aged sea air (IndSaged, 20.6%), smoke (Smoke, 13.7%). Autos contribution was in winter, whereas 2ndryS summer, indicating that mitigation measures targeting SO2 release summer vehicle exhaust winter would be most effective reducing the concentrations this site. Since particulate matter can significantly affected by local meteorology, generalised additive model (GAM) employed investigate relationships between types meteorological conditions. GAM predictors included: time (seasonal inter-annual variations), mixing layer depth, temperature, relative humidity, wind speed, direction, atmospheric pressure. Meteorological influences on variability found 58% for soil dust, 46% Autos, 41% PM2.5, 35% 2ndryS. Effects much smaller other types. Temperature an important variable determination 2ndryS, IndSaged, Soil Smoke, future changes temperature are likely have associated change aerosol concentrations. However, impact different varied. had (sometimes more than factor 4 increase temperatures above 25 °C compared under 10 °C) being predominantly aerosols formed atmosphere precursors, speed direction fresh salt marginal effect humidity increased up 70–80% then plateaued, confirming previous findings (NH4)2SO4 is present solid phase below about 80%.