SAALTS - Space Apps Challenge

SAALTS| A One Health Approach

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.

RevolutionAIR

Summary

RevoltionAIR is an effective awareness project that studies the data and displays the effects of air pollution on human, animal, and environmental health at your local level. Thus, we aim to aware wide mass, societies, and even countries with a touch of their fingertips. This userfriendly app aims at making information available to all the groups and inhabitants of a country informing them of how COVID19 and Air pollution are intricately linked, how extremely essential it is to take care of one's health, and even advise them if it's okay to go outside or not on the basis of data collected and used in the app.

How We Addressed This Challenge

We developed an app that is significant for studying the effects of air pollution in various fields of a particular location. The app displays the value of different indicators such as Aerosol Optical Depth (AOD), the release of SO2, and the Dust Dry Deposition to let know of the quality of air in that location.

The app is to analyze the data (couldn’t do so with our current coding knowledge) of a particular area to illustrate the effects of air pollution in that area. It also lists out the precautionary methods one can adopt to be safe from hazardous and detrimental health risks.

Since this app shows people and societies on how there is a link between COVID 19 and air pollution and what the possible effects on the environment, animals, pets, and human health are, our team aims to educate all the people, even the ones living in the rural area easily and assist them by providing with reliable precautionary methods.

How We Developed This Project

During our research on which project would be the most applicable for our team members, we were deeply inspired by One Health Approach, as air pollution is one of the most burgeoning issues in the present context; causing millions of deaths worldwide. We decided to do something which may lead to a cleaner and healthier environment with decreased health issues and thus, started working on our app.

We used MIT App Inventor to develop the app in this project.

Our team learned in-depth about the air pollution which we researched thoroughly to analyze the effects of it on the societal, environmental, and also in global scale even though we have only used the data of local scale for this app model as an example. Therefore only changing the location can display all the effects and precautionary measures one should adopt.

As a team, we learned how to use the data for drawing out the most useful information.

How We Used Space Agency Data in This Project

We used various data for our project. They are listed down below:

Aerosol Optical Depth (AOD): To analyze the effects in accordance with the values, we studied AOD to draw a conclusion on its linkage between COVID 19 and air pollution.
Values of SO2: Like AOD, we took the data for our local area and studied the health effects, environmental effects caused by its release.
Air Quality Index (AQI): for awareness on the implications caused by the air pollution we used this data to study how AQI level affects the health of general people and how we can mitigate it.
Dust Dry Deposition: This value also helped us retain the effect and understand more about the condition of the environment to make the app.

Project Demo

We have linked a slide which explains how to operate the App.

Link to the Slide:The Link

Here is a link to the APK file of the App:https://drive.google.com/file/d/1S3DC85iNbt1X4dZahayDucpAkw5bFjzh/view?usp=sharing

Limitations of the App:

The data that are shown in the app are explicitly written into the code which means that it is not changeable and certainly not real-time data. (definitely a place to improve on)
The Graph provided are images and were made on October 3rd, which is why the value on Oct-4 is kept 'zero'. The other zeros means that we could not get data of those days.

We plan on working on it further!