Date of Award
6-2018
Culminating Project Type
Thesis
Degree Name
Geography - Geographic Information Science: M.S.
Department
Geography and Planning
College
School of Public Affairs
First Advisor
Mikhail Blinnikov
Second Advisor
Jeffrey Torguson
Third Advisor
Jeffrey Cheng
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Abstract
The purpose of this paper is trying to use air monitoring data of Particulate Matter (PM 2.5) from 19 monitoring sites in Minnesota, to determine the correlations between PM 2.5 and the influencing factors, such as road traffic, tree space area, and rainfall. The study will be based on pollutant data which were from Environment Protection Agency (EPA) and Minnesota Pollution Control Agency (MPCA), then through regression analysis and Pearson correlation analysis to determine the correlations of all variables. The correlation analysis results between PM 2.5 concentration and three variables (tree space area, traffic volume, and rainfall) showed that tree space area ratio had a negative, traffic volume had a positive and rainfall had a negative, correlation with PM 2.5 in Minnesota urban. The air traffic volume had a positive correlation with PM 2.5 in airport areas.
In this study, GIS system is a useful tool for geostatistical analysis. It can be used for Normalized Difference Vegetation Index (NDVI) analysis, raster data geoprocessing, and kriging spatial analysis.
Recommended Citation
Shen, Junyang, "Association between PM 2.5 in Minnesota and Influencing Factors: Tree Space Area, Road Pollution, and Rainfall" (2018). Culminating Projects in Geography and Planning. 5.
https://repository.stcloudstate.edu/gp_etds/5
