Theses and Dissertations
Date of Award
5-2019
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Mathematics
First Advisor
Dr. Xiaohui Wang
Second Advisor
Dr. Santanu Chakraborty
Third Advisor
Dr. Demba Fofana
Abstract
PM2.5 has been a main environmental concern due to its adverse effects on human health and society. We used data from two sources: monitoring station of the U.S. Embassy in Beijing, and several nearby monitoring stations of the Chinese Ministry of Environmental Protection. This study includes investigating (1) PM2.5 historical data reliability, (2) PM2.5 real-time data reliability, and (3) air quality improvement trends in Beijing over the past decade. We used graphical methods, descriptive statistics, correlation analysis, and inferential analyses including paired samples t-test, ANOVA, and Kruskal-Wallis test. We reported effect sizes to aid study on practical significance. Inferential procedures' assumptions were checked. Results showed that PM2.5 historical and real-time
Recommended Citation
Li, Huimin, "PM2.5 Data Reliability and Air Quality Improvement Trends in Beijing" (2019). Theses and Dissertations. 498.
https://scholarworks.utrgv.edu/etd/498
Comments
Copyright 2019 Huimin Li. All Rights Reserved.
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