Browsing by Subject "air pollution"
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Item Corridors of Concern:The Unequal Impact of Pollution on Cancer Rates in America(2023-04) Dauber, EveCancer is not experienced uniformly across the United States, in large part due to pollution exposure. A growing body of evidence has been revealing the impact of toxic industrial air pollution on surrounding communities, particularly communities of color. This thesis aims to explore the connection between sites of industrial air pollution and associated cancer risks with a particular focus on exposure disparities by race and income. First, the biological link between cancer and chemical-containing air pollution will be explored through the lens of carcinogenic molecular mechanisms. Then, the concept of cancer hot spots near industrial pollution sites will be introduced, focusing on the geopolitical dynamics and environmental racism behind these hot spots. Finally, two case studies will explore the largest hot spots in America: Cancer Alley, Louisiana, and Houston, Texas. Immediate action is needed to address the health disparities present in these cancer hot spots, and understanding the issue at hand will be the first step toward finding potential solutions.Item Corwin Zigler(The Texas Scientist, 2020) The Texas ScientistItem Cost-Benefit Politics in U.S. Energy Policy(2015-08-11) Spence, David B.; Adelman, David E.Item Ideology vs. Interest Group Politics in U.S. Energy Policy(2017-03-27) Spence, David B.; Adelman, David E.Item Moral Outrage vs. Cool Analysis in the Regulation of shale Gas Production(2013-12-31) Spence, David BItem Something’s in Our Air(The Medium, 2018-06-25) Corsi, RichardItem Trajectory Grid: A Lagrangian Advection Algorithm Implemented into CMAQ(2019) Pouyaei, Arman; Choi, Yunsoo; Jung, Jia; Sadeghi, BavandEulerian chemical transport models (e.g. EPA’s CMAQ) cannot clearly show the source-receptor of polluted areas. Furthermore, Lagrangian back-trajectory analysis (e.g. NOAA HYSPLIT) cannot clearly show the polluted air mass; it could be polluted or clean air mass. Trajectory Grid (TG) by Choke et al. (2005) is a Lagrangian advection algorithm. It removes the numerical diffusion caused by Eulerian advection algorithms and also transports all species at once in each “packet” so saves execution time. TG also can help in the interpretation of back-trajectories as a direct clue for aerosols variation in Eulerian models by introducing “Back Trajectory and Concentration Output.” We implemented TG into EPA’s Community Multiscale Air Quality model version 5.2.Item Unfounded Fears About Pollution Trading and Hotspots(2014-10-24) Adelman, David E.