Potential Impacts of Climate Change and Management Strategies on U.S. Air Quality
Abstract
Climate change will bring about many changes to the composition of the atmosphere.
In addition to the increasing threats of extreme weather events and rising sea levels,
climate change may also have a negative effect on air quality. Secondary formations
of ozone and particulate matter are especially sensitive to changes in meteorological
parameters such as temperatures and precipitation. In addition to changes due to climate
change, air pollution concentrations in the future are influenced by management strategies
that control emissions. The Clean Air Interstate Rule (CAIR) and the National Ambient
Air Quality Standards (NAAQS) are both examples of management strategies that will
change pollution concentrations in the future. The purpose of this Master’s Project
is to take model results of current and future air pollution concentrations, under
the CAIR and the NAAQS management scenarios, and summarize them in a way that can
be utilized by policy makers to determine the best course of action for the future.
Results are given for the Northeast United States summer season as an illustration
of the causal inference method. Ozone concentrations will be lower in the future yet
CAIR will not be any more effective at reducing ozone concentrations beyond the NAAQS’s.
In contrast, the CAIR management strategy is more effective at reducing PM2.5 concentrations
than the NAAQS. The probability of exceeding the health standards decreases for PM2.5¬
and ozone in the future.
The results of this analysis indicate that CAIR is an effective tool to reduce PM2.5
concentrations yet no more effective than the NAAQS management strategy for ozone.
This analysis paves the way for future work on how climate change will not only change
temperatures but could also change how pollution is formed in the atmosphere.
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https://hdl.handle.net/10161/494Citation
Marin, Kristen (2008). Potential Impacts of Climate Change and Management Strategies on U.S. Air Quality.
Master's project, Duke University. Retrieved from https://hdl.handle.net/10161/494.Collections
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