Stardust| A One Health Approach
A One Health Approach
World NO2 Emission timelapse: Effect of COVID-19 on Air Pollution
Summary
With this project, we have tried to visualize and study the NO2 emission at a global level in accordance with time. The timelapse shows the increasing and decreasing rates of NO2 emissions in the world with time and hence we concluded that this emission rate had a huge change in the demographic before and after COVID-19 hit the world. We have mainly focused on the data analysis of the COVID-19's affect on NO2 emission near the regions where this outbreak was exclusively immense, Europe and China.
How We Addressed This Challenge
We have developed a method for data analysis of the air pollution reported from November 2019 to September 2020. This data analysis program tracks down the air pollution of the countries of interests by tracing a timelapse of the NO2 emissions in those areas for over a period of 10 months. This timelapse shows a great shift in the NO2 emission rates over this period. In the starting when the COVID-19 case reports were only starting, this emission rate was on its peak. As the COVID-19 outbreak started to take on the exponential graph, the NO2 emission around the globe started to come down to immensly low perccentages. We wanted to show that, when we had our lives going with normally faster pace, our environment was suffering massively, but unfortunately because of this deadly virus took a role, we were forced to stop affecting our daily life routine for sure, but that changed the graphs of air pollution for us that we couldn't do on our own.
How We Developed This Project
Air pollution is one of the major cause to create catastrophe everywhere, causing climate change, havocing global warming, increasing sea water level, O3 layer depletion, many major diseases including Cancer. Environmentalist and scientists have been warning public and have been puzzling to create a global solution for this unceasing issue but reached at no place. However, with just 10 months of havoc created by COVID-19 this never ending problem has changed its graphs.This made us wonder, what they have been saying on news channels, is that true? So, we as beginners in data science field, started to work on visualizing this change on our own, we also want other people to see this change that yes a change in living habits can change the world and can bring us all together. We have used raw data from "NASA archive" ,"ourworldindata" and "ds4g-environmental-insights-explorer" then analysed the data using Machine Learning techniques with Python. We have also used Google Earth engine in our code. Big thanks to Python for microscopist by Sreeni for his coding videos and Kaggle for descriptive data analysis techniques.
How We Used Space Agency Data in This Project
The whole project is based on analysing the data. So we have used NASA archive and ourworldindata for NO2 emission data and aura vision for COVID-19 data (report/cases). We used this data in our project and used AI techniques to first extract features like selecting countries we were interested in and the time period we were focusing on, then we used visualization packages of Python to plot different timelapses to describe our findings.
Project Demo
https://youtu.be/R9XzrsUturw
Data & Resources
NASA; Our world in data; Kaggle; Google Earth Engine