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Full-Text Articles in Physical Sciences and Mathematics
Data From: Yellow Air Day Advisory Study, Arthur J. Caplan
Data From: Yellow Air Day Advisory Study, Arthur J. Caplan
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Using a dataset consisting of daily vehicle trips, PM2.5 concentrations, along with a host of climactic control variables, we test the hypothesis that “yellow air day” advisories provided by the Utah Division of Air Quality resulted in subsequent reductions in vehicle trips taken during northern Utah’s winter-inversion seasons in the early 2000s. Winter inversions occur in northern Utah when climactic conditions are such that PM2.5 concentrations (derived mainly from vehicle emissions) become trapped in the lower atmosphere, leading to unhealthy air quality (concentrations of at least 35 µg/m3) over a span of what are called “red air days”. When concentrations …
China: Avoiding Impediments To Successful Climate Change Mitigation, Molly Rose Van Engelenhoven
China: Avoiding Impediments To Successful Climate Change Mitigation, Molly Rose Van Engelenhoven
Undergraduate Honors Capstone Projects
This paper uses the Cultural Topography (CTOPs) methodology, an intelligence community standard which is used to avoid ethnocentric analysis and the dangerous practice of mirror imaging--projecting US culture on to another country rather than viewing the costs and benefits they face through their own cultural lens. CTOPs assess a country’s culture by examining four components of culture: identity, values, norms, and perceptual lens of an actor in conjunction with a specific issue of concern. This paper examines the internal culture of China, with the Chinese government as the key actor, to discover how to build effective policy to regulate air …
Comparing Linear Mixed Models To Meta-Regression Analysis In The Greenville Air Quality Study, Lynsie M. Daley
Comparing Linear Mixed Models To Meta-Regression Analysis In The Greenville Air Quality Study, Lynsie M. Daley
All Graduate Plan B and other Reports, Spring 1920 to Spring 2023
The effect of air quality on public health is an important issue in need of better understanding. There are many stakeholders, especially in Utah and Cache Valley, where the poor air quality as measured by PM 2.5 levels and consequent inversions can sometimes be the very worst in the nation. This project focuses on comparing two statistical methods used to analyze an important air quality data set from the Greenville Air Quality Study, focusing on a lung function response variable. A linear mixed model, with a random factor for subject, gives slope estimates and their significance for predictor variables of …