Analysis of Air Pollution Models in the context of Coupled Carbon and Air Pollution Benefits in Multi-scale Urban Systems
2019-08
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Analysis of Air Pollution Models in the context of Coupled Carbon and Air Pollution Benefits in Multi-scale Urban Systems
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2019-08
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Many subnational state and local governments have taken a leadership role in climate change mitigation through clean energy and climate action policies. Because the majority of carbon emissions come from the burning of fossil fuels, there is potential for ancillary co-benefits of carbon mitigation resulting from the concurrent reduction of co-pollutants. This research focuses on the co-benefit of reducing particulate matter, which globally contributed to 4.2 million premature moralities in 2015. Global cities are simultaneously taking action to improve air quality and mitigate climate change by reducing emissions from energy and infrastructure systems. Cities are uniquely positioned to achieve improved environmental policy by managing carbon, air pollution, and health co-benefits concurrently due to the concentration of people and economic activity in cities. By accounting for the air pollution co-benefits of carbon mitigation, cities may create more political support for reducing emissions and energy use due to the large health benefits of reducing local air pollution exposure. The following dissertation explores these issues to determine how the state-of-the-science tools can be used to inform carbon mitigation actions which have air pollution and health co-benefits. Together, these chapters seek to inform the discussion surrounding the distribution of air pollution and carbon co-benefits in order to design more optimal environmental policies moving forward. The focus of this dissertation is on developing methods for the spatial analysis of air pollution co-benefits across multi-scale urban systems to support their evaluation in the context of carbon mitigation actions.
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University of Minnesota Ph.D. dissertation. August 2019. Major: Public Affairs. Advisor: Anu Ramaswami. 1 computer file (PDF); iv, 134 pages.
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Fang, Andrew. (2019). Analysis of Air Pollution Models in the context of Coupled Carbon and Air Pollution Benefits in Multi-scale Urban Systems. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/209057.
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