High-Level Project Summary
Nine out of ten people on the earth live in locations with air quality that is worse than recommended by the World Health Organization (WHO). According to some researchers, air pollution may also contribute to some newborns' abnormal births. When sulfur dioxide and nitrogen oxide particles in the air interact with atmospheric water and oxygen, acid rain may result. Acid rain damages plants by changing the composition of the soil, changes the water quality in rivers, lakes, and streams, harms crops, and can damage structures such as monuments and buildings. For the solution to the above problems, we have proposed an idea to develop an application that can detect the presence
Link to Final Project
Link to Project "Demo"
Detailed Project Description
Nowdays Air pollution is become lethal threats to us. But now no single apparatus provides ready to use.Satellite data are now widely use in the decision making and environmental management activities of public and private sector as well as non-profits organizations.If we only use satellite data then there should be existing high quality monitors which is much expensive and there will be more gaps in coverage. So that means millions of people can not take daily action to protect their health.
According to the WHO, smoke from unclean cooking stoves and fuels causes 3.8 million deaths globally each year, while outdoor air pollution causes 4.2 million deaths yearly. Nine out of ten people on the planet reside in areas where the air quality exceeds WHO guidelines.
The combined effects of indoor and outdoor air pollution are responsible for around 7 million premature deaths annually.
To reduce air pollution, we decided to make an application that will be reported to the relative authorities who are associated with the gas production, which is highly responsible for polluting the air of a particular area.
Nine out of ten people on the earth live in locations with air quality that is worse than recommended by the World Health Organization (WHO). According to some researchers, air pollution may also contribute to some newborns' abnormal births. When sulfur dioxide and nitrogen oxide particles in the air interact with atmospheric water and oxygen, acid rain may result. Acid rain damages plants by changing the composition of the soil, changes the water quality in rivers, lakes, and streams, harms crops, and can damage structures such as monuments and buildings.
For the solution to the above problems, we have proposed an idea to develop an application that can detect the presence and quantity of several gases in the atmosphere using sensors and satellite data. This information will help to reduce harmful gases in the environment.
Space Agency Data
In order to design new solutions that can help local governments to tackle this problem, the Air Quality Platform project was launched by ESA. Built at the Earth Observation Laboratory located in the European Space Research Institute (ESRIN) on the occasion of the Living Planet Symposium in 2019 (LPS2019), the platform has a mainly educational purpose: it was designed, in fact, to be assembled by students from schools and universities to let them become aware of the quality of the air we breathe in different conditions. Massimiliano Ferrante, the EO Laboratory Work Package Manager who designed, tested and built the AQPs, declares: “The AQP project was born for LPS2019 with an educational purpose, acquiring some parameters for measuring air quality by transmitting them to a ESA website. This platform allowed and allows students both to become aware of the air quality and to make a comparison with similar data acquired via satellites (for example Sentinel 5p). It also allows students to view real time on an ESA site map the position of the AQPs and the graphs of the various parameters acquired. After LPS2019, the AQP platform has extended, with new versions, the fields involved in the project that now range across robotics, electronics, software, artistic (with LOTUS), citizen science, IoT (with the AQP lamp), wearable AQP platforms such as the AQP backpack, automotive AQP platforms such as the AQP50 and flatbed mobile AQP footprints (on rovers or drones). Finally, at the time being methods are being sought and optimised to correct the measurements of the low-cost sensors used by AQP, to move from measurements for educational purposes to measurements that provide the errors associated with the measurements themselves, involving Machine Learning algorithms, comparative methods with professional tools and more robust scientific approaches“.
Using Earth Observation (EO) data to complement traditional monitoring systems, the study sheds new light on the impact of COVID-19 on air quality and emissions due to transport and industry, allowing for a new level of insight for policy makers and practitioners.
Satellite Data for UK Regulation:
There are three areas of challenge when utilising satellite data for regulatory purposes in the UK. Firstly, UK point sources are often omitted from global studies due to difficulties associated with observations over the UK. Frequent and extensive cloud cover is the main obstacle for UK observations. The UK spans a latitude range of 50°–60° and as a result is influenced by the collision of Ferrel and Polar circulation cells. This interaction gives rise to increased cloud formation and also drives the polar jet stream, which delivers low-pressure systems to the UK and leads to increased cloudiness and precipitation. Clouds limit the ability of the satellite instrument to detect boundary layer pollutants, as they can completely shield the column of air below the cloud layer .. Clouds increase the uncertainty in the light path, as scattering off high clouds can shorten the light path, and multiple scatterings within thick clouds can increase the light path . Therefore, any pixel with a cloud fraction greater than 0.5 (i.e., greater than 50% cloud coverage within the pixel) is typically discarded . This results in a large portion of data being omitted, and represents the greatest obstacle in using satellite data for regulatory purposes, as clouds reduce the amount of data available and introduce a “bias” towards clear sky conditions . a demonstrates the percentage coverage of cloud-free high-quality retrievals for the TROPOMI NO2 data product. The majority of UK mainland sits between 30 and 40% data coverage, with rural mountainous areas such as north-west Scotland, falling to approximately 15–20%.
Hackathon Journey
Last year a team which is our proud from bangladesh has been winner of nasa space apps chanllenge .thats gives us full of energy and insprition to look forward and move into this challenge.Thats why we thank team mohakash .
How We Addressed This Challenge:
Air pollution – the combination of outdoor and indoor particulate matter, and ozone – is a risk factor for many of the leading causes of death including heart disease, stroke, lower respiratory infections, lung cancer, diabetes and chronic obstructive pulmonary disease (COPD). In low-income countries, it is often very near the top of the list (or is the leading risk factor). Air pollution contributes to 11.65% of deaths globally. According to the WHO, smoke from unclean cooking stoves and fuels causes 3.8 million deaths globally each year, while outdoor air pollution causes 4.2 million deaths yearly. Nine out of ten people on the planet reside in areas where the air quality exceeds WHO guidelines. The combined effects of indoor and outdoor air pollution are responsible for around 7 million premature deaths annually. To reduce air pollution, we decided to make an application that will be reported to the relative authorities who are associated with the gas production, which is highly responsible for polluting the air of a particular area.
References
How We Developed This Project:
To develop this project we are going to build software as well as hardware.For the hardware portion we actually using Sniffer 4D .Which is a multi-gas detection system that can track up to 16 different types of gases. It is a sensor which is able to measure the density of all gases present in a particular area.The outcome of the calculation will be submitted to our suggested program, which in this case will be a web application, for additional computation. Software application operations will begin once the sensors' result data has been received.
Overall software procedures are split into three basic steps for ease of understanding. They are :
1.Find the gas with the highest density:It will first identify all the gases that cause air pollution from the data that the sensor sends.Then It will determine which gases, based on their density, are more accountable for polluting a specific area.
2.Track down the origin of the responsible gases: Our application will pinpoint all the places where the gases that were discovered in the first phase originated in this stage.
3.Send Reports: This is the last step. During this procedure, our application will submit a report to the authorities identified in the second phase who are responsible for the production of dangerous gases to our environment.
tools:
1.VS code editor
2.Sniffer 4D
3.monitors
Tags
#air polltution #vscode #python #air quality apps #world air quality apps #data