Awards & Nominations

UFAir has received the following awards and nominations. Way to go!

Global Finalist

A One Health Approach

Air pollution is a major global environmental health risk, causing an estimated seven million deaths across the globe annually. Your challenge is to take an interdisciplinary approach, using both Earth science and health science, and integrate different types of datasets and applications to study the effects of air pollution.

UFAir

Summary

Atmospheric pollution has been a major concern over the last decades with the increase of dangerous gases released every year. The UFAir project intents to help anyone to visualize complex relationships between air pollution and public health, anywhere in the world. Using WHO and NASA's datasets, everyone can interact with various maps and tables which display useful information and how it changed over the years. Using the available data, this tool allows to make simulations for future scenarios, taking into account the current levels of pollution.

How We Addressed This Challenge

UFAir


UFAir is a web app that relates and shows connections between different datasets involving pollutent gases presents in the atmosphere and diseases as well. The interface was designed to maximize accessibility and confort, so anyone can manipulate with ease difficult data analysis, such as heat maps and correlation matrices.






Why is it important?


Researches have shown that air pollution causes millions of deaths every year. Our actions in everyday life affects the atmosphere's composition locally and globally, but most of the time this relationship isn't clear which fogs the big picture. Population's awareness of these factors are essential in order to prevent the situation from getting worse.






How does it work?


The site can be accessed from any browser at the link https://ufair.herokuapp.com/. In the plataform the user can choose which parameters to compare (Pollutent gases, diseases, COVID-19 cases, etc), and also one of the following visualizations:






  • Bubble map
  • Heat map
  • Correlation matrix


Then, it's possible to see how these parameters and analisys changes over the years, controling de time of observation using the timeline presented at the bottom of the page. As part of our future plans, this timeline also can be set to future days, in which the plataform will calculate possible outcomes for the current situation.






What do we hope?


We hope that this tool succeds in helping people to understand how the Earth's atmosphere is changing and in which way does our day-to-day lifes are influencing this. With awareness and a better comprehension of these phenomena, we can hope for a more sustainable and healthier future.

How We Developed This Project

UFAir was developed using Python with the Streamlit framework. The choice of framework and programming language was based on efficiency for processing big amounts of data and responsiveness for the user in the front-end.


The datasets for air polluntents and public health used in the plataform are available free online, provided and updated by National Aeronautics and Space Administration (NASA) and World Health Organization (WHO) .


Our team faced a lot of challenges on the way, but succeded in a very constrict time schedule, we were able to research, organize, learn e utilize a wide range of information and tools to develop a project and present it.

How We Used Space Agency Data in This Project

Sattelites' data are a very important part of the process of information parsing at the project. UFAir uses CSA's datasets in .csv format, to collect CO2, NO2, CH4 and O3 amounts over the world, from years 2004 to 2020. The information of date/time, geographical coordinates and mean amount of gases are extremely useful for analysis' sake.

Tags
#airquality #health #data analysis
Judging
This project was submitted for consideration during the Space Apps Judging process.