Title

Analyzing Air Quality Trends in Bishkek

Document Type

Poster

Event Website

https://source2022.sched.com/

Start Date

16-5-2022

End Date

16-5-2022

Keywords

Mathematics, Numerical Analysis, Bishkek

Abstract

In the small post-Soviet country of Kyrgyzstan, nestled in the Tien Shan mountains, lies the city of Bishkek. Due in part to it's geographic location, and in part to the poor urban planning of the city, Bishkek struggles with some of the worst air quality problems in the world. We will be looking into some data about the air quality in Bishkek, and we hope to gain some insight into this problem. We will be using various numerical methods, to try to predict trends about how air quality behaves in Bishkek. The methods used will take existing data about air quality and then use mathematical methods about how the air quality is behaving to see if we can figure anything out about our data set. The goal of this project is to implement Mathematical methods onto an existing data set, and try to predict how air quality will behave in the future.

Faculty Mentor(s)

Brandy Wiegers

Department/Program

Applied Mathematics

Additional Mentoring Department

Mathematics

Additional Files

Johnson, Joshua Source Presentation 2022.pptx (85330 kB)
Slides

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May 16th, 12:00 AM May 16th, 12:00 AM

Analyzing Air Quality Trends in Bishkek

In the small post-Soviet country of Kyrgyzstan, nestled in the Tien Shan mountains, lies the city of Bishkek. Due in part to it's geographic location, and in part to the poor urban planning of the city, Bishkek struggles with some of the worst air quality problems in the world. We will be looking into some data about the air quality in Bishkek, and we hope to gain some insight into this problem. We will be using various numerical methods, to try to predict trends about how air quality behaves in Bishkek. The methods used will take existing data about air quality and then use mathematical methods about how the air quality is behaving to see if we can figure anything out about our data set. The goal of this project is to implement Mathematical methods onto an existing data set, and try to predict how air quality will behave in the future.

https://digitalcommons.cwu.edu/source/2022/COTS/61