Measuring, Analyzing, Predicting, and Improving the Quality of Air

Team: 12

School: Capital High

Area of Science: Computer/Data/Math/Environmental Science


Proposal:
The Definition of the Problem
Bad ventilation and the lack of air purifiers traps pollutants and allergens in an enclosed area and causes serious health problems.
The Purpose of the Project
There are some ways to improve the quality of the air, but before implementing any of them, it’s important to first know the level of each type of air particulates, especially pollutants and allergens. If, for example, there is an increased level of CO2, simply opening the window may keep their concentration from rising too high. Bad ventilation also means increased risk of catching a virus. It’s because with no or poor ventilation, the particles in the air build up and have no way to escape. Opening the window, on the other hand, invites pollen and dust inside, which is a serious problem for people suffering from allergies. This could be minimized by air purifiers.
Plan of Action
We will use a robotic air quality monitoring system to gather data about air quality. We will measure the quality of air in various enclosed areas, such as our classroom and our own houses, during a variety of changing circumstances (for example, with the door/window open/closed; with air purifier on/off; in smoking/smoke-free areas; after spraying air freshener and/or other chemicals, such as deodorants, perfumes; with burning incense, etc.). Using Python, we will then present our data graphically as well as write a computational mathematical model using linear regression to predict the level of various types of air particles depending on changing conditions.


Team Members:

  Joshua Tamarra
  Zachariah Burch
  Britny Marquez
  Isel Aragon

Sponsoring Teacher: Barbara Teterycz

Mail the entire Team