Project Team
Students
Jiheng Miao
Geography
Penn State University Park
Faculty Mentors
Manzhu Yu
Penn State University Park
Geography
Shiyan Zhang
Penn State University Park
Geography
Project
Project Video
Project Abstract
Abstract
From smoke emitted from wildfires to smog hanging over cities, air pollution poses great threat to human health and climate. The combined effects of ambient and household air pollution cause millions of premature deaths every year, largely because of increased mortality from stroke, heart disease, chronic obstructive pulmonary disease, lung cancer and acute respiratory infections. Thus, estimating the risks of human exposure to increased air pollution is an urgent research task. This project seeks to estimate how different races have a higher PWE to the concentration of fine particulate matter (PM2.5), in which the project will specifically focus on the NYC metropolitan area. The project will utilize machine learning as a way to program and format the patterns of human-exposure to PM2.5 based on the data at 2021 from Purple Air and EPA official websites, through Python Programming using Google Colaboratory. After all, the results will be compared with EJScreen data.
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