Plug Pollution| A One Health Approach
A One Health Approach
A Statistical Approach to Monitoring our Atmosphere
Summary
Our project represents a mean to start combating the worldwide air pollution problem by identifying the most affected areas in order to take the action in those. The data is represented through maps and graphs.We included a chemical interactive representation of the molecules that constitute our atmosphere, and also of the principal air pollutants.
How We Addressed This Challenge
Air pollution has been one of the most important environmental issues since the Industrial Revolution, but in recent years it has become the main factor of health and environmental risk, killing an estimated seven million people worldwide every year and affecting the vegetation all over the globe.
Considering the actual context of the COVID-19 Pandemic, air pollution can be considered an important factor that contributed to the spread of the new virus as it weakens the immune system and reduces the breathing capacity of the lungs.
In order to start taking action against this pressing matter, we decided to create a Web App which provides us with a visualisation of the levels of CO2 around the world and also how the vegetation is being affected by these levels.In this way, we begin our journey of combating air pollution by applying the urgent measures proposed by specialists in the most affected areas.
How We Developed This Project
This challenge was the one that allowed us to highlight our areas of expertise, our knowledge, as we come from different backgrounds and domains.We wanted to create a Web App which helps us asses the true level of air pollution nowadays and, in order to do so, we used Leaflet and
Plotly with JavaScript to generate the graphs and maps, and for the design of our site, HTML, CSS and JavaScript.
How We Used Space Agency Data in This Project
We used data obtained from various satellites such as TROPOMI, MOPITT and SCISAT.All of our data was sourced through the earthdata search engine.
Project Demo
https://1drv.ms/p/s!AmppYt4ZtO8FhFmNZ9BdikH7M4Ld?e=eCs90S
Data & Resources
We used data obtained from various satellites such as TROPOMI, MOPITT and SCISAT.All of our data was sourced through the earthdata search engine.
Leaflet : https://unpkg.com/leaflet@1.7.1/dist/leaflet.js
Plotly : https://cdn.plot.ly/plotly-latest.min.js
Chemical models : https://cdnjs.cloudflare.com/ajax/libs/3Dmol/1.4.0/3Dmol-min.js
https://cdnjs.cloudflare.com/ajax/libs/3Dmol/1.4.0/3Dmol-nojquery.js
Load d3 : https://d3js.org/d3.v4.js