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Impact of Climate Change on Fine Particulate Matter (PM2.5) Air Quality

Posted on:2013-03-02Degree:Ph.DType:Dissertation
University:Harvard UniversityCandidate:Tai, Pui Kuen AmosFull Text:PDF
GTID:1450390008985666Subject:Atmospheric Chemistry
Abstract/Summary:
This dissertation investigates the impact of 2000-2050 climate change on fine particulate matter (PM2.5) air quality. We first applied a multiple linear regression model to study the correlations of total PM 2.5 and its components with meteorological variables using the past decadal PM2.5 observations over the contiguous US. We find that daily variation in meteorology can explain up to 50% of PM2.5 variability. Temperature is positively correlated with sulfate and organic carbon (OC) almost everywhere. The correlation of nitrate with temperature is negative in the Southeast but positive in California and the Great Plains. Relative humidity (RH) is positively correlated with sulfate and nitrate, but negatively with OC. Precipitation is strongly negatively correlated with all PM 2.5 components.;We then compared the observed correlations of PM2.5 with meteorological variables with results from the GEOS-Chem chemical transport model. The results indicate that most of the correlations of PM2.5 with temperature and RH do not arise from direct dependence but from covariation with synoptic transport. We applied principal component analysis and regression to identify the dominant meteorological modes controlling PM2.5 variability, and showed that 20-40% of the observed PM2.5 daily variability can be explained by a single dominant meteorological mode: cold frontal passages in the eastern US and maritime inflow in the West.;From 1999-2010 observations we further showed that interannual variability of annual mean PM2.5 in most of the US is strongly correlated with the synoptic period &Tgr; of the dominant meteorological mode as diagnosed from a spectral-autoregressive analysis. We then used the observed local PM 2.5-to-period sensitivity to project PM2.5 changes from the 2000-2050 changes in &Tgr; simulated by fifteen IPCC AR4 GCMs following the SRES A1B scenario. We project a likely increase of ~0.1 µg m -3 in annual mean PM2.5 in the eastern US arising from less frequent frontal ventilation, and a likely decrease of ~0.3 µg m-3 in the northwestern US due to more frequent maritime inflows. These circulation-driven changes are relatively small, representing only a minor climate penalty or benefit for PM2.5 regulatory purpose.
Keywords/Search Tags:Climate
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