About us
The YourAirTest air quality monitoring ecosystem is a wide range of Software and Hardware products worked on by a team of scientists, ecologists, developers, graduate students and students.
We model pollution emissions from businesses, fires and cars, as well as emissions from nuclear power plant accidents, to further visualize them on a map and calculate the level of negative impact on the environment and people, so that society can see, realize and rethink the importance of clean air and change the situation around them.
Our Mission
is to create an air quality monitoring ecosystem so that society, governments and businesses together find a mutual path to prosperity.
Every day there is hard work on each of the following areas:YourAirTest website
Nowadays, every visitor of yourairtest.com has the opportunity to see the current state of the air in his location in 100 countries around the world. In addition, air flows are visualized, which will become a forecast of air pollution in the near future.
The site has easy access to visual information, details about the project and answers to the most common questions.
WRF-YAT Meteo, Weather Research and Forecasting
In the field of weather forecasting and atmospheric research, precision and innovation are of paramount importance. This study examines the development and implementation of WRF-YAT Meteo, an innovative project in the field of weather forecasting.
Fires in Ukraine
We developed WildFiresUA, a system for predicting regional pollution of surface air with gas and aerosol impurities as a result of landscape fires in Ukraine since February 24.
- PM 2.5 - Particulate matter
- PM 10 - Particulate matter
- CO - Carbon monoxide
- CO2 - Carbon dioxide
- NO2 - Brown gas
- SO2 - Sulfur dioxide
YourAirTest mobile app
The mobile app is designed to reduce people's health impacts from poor air quality. We provide accurate data on 6 key pollutants: PM2.5 particulate matter, PM10 particulate matter, O3 (ozone), NO2 (nitrogen dioxide), SO₂ (sulfur dioxide) and CO (carbon monoxide) in the required format (U.S.AQI and EAQI ). We also added a weather forecast.
The app also has the ability to add your locations to favorites, quick to share results and available personalization in the form of four characters (male, female, astronaut and alien).
The iOS and Android apps will be expanded in the future, with an air pollution forecast and notifications of significant deterioration in advance.
Predictive Modeling for Nuclear Power Plant Accident Scenarios
We've developed a service that forecasts the potential fallout for up to 24 hours. This system provides insights into the likely path of radioactive particles carried by the wind and their concentration levels. This information allows us to assess which areas might be affected and where the radiation's impact would be most severe.
- Chernobyl NPP
- Zaporizhzhya NPP
- South Ukrainian NPP
- Rivne NPP
- Khmelnytsky NPP
MonAir
MonAir Out - is our full-featured ground-based monitoring stations for atmospheric air with electrochemical sensors which send real-time data on humidity, temperature and pressure levels as well as on presence of O3 (ozone), NO2 (nitrogen dioxide), SO₂ (sulfur dioxide) and CO (carbon monoxide) gasses and two types of dust PM2.5; PM10.
MonAir In - is our home and office air quality sensors that send real-time data on moisture level, temperature and pressure, and AQI.
YAT Gaussian plume model for ecological and environmental education
With the support of universities, we are creating trainings to teach citizens, ecologists and students about the basics of ecology and the effects of air pollution on health, as well as what to do, where to look for information and how to interpret it.
For those who want to dive deeper into air pollution modeling, we suggest exploring the Gaussian Plume Model with us.
The Gaussian Plume Model is the most common air pollution model. It is based on a fairly simple formula that describes the three-dimensional pollution concentration field produced by a point source under steady-state meteorological and emission conditions.
This model is used to predict the pathways and concentrations of pollutants in the air during transport and dispersion in the atmosphere after an emission. These models can be used for emergency preparedness as well as response and recovery operations.
Our Mission
is to create an air quality monitoring ecosystem so that society, governments and businesses together find a mutual path to prosperity.
Every day there is hard work on each of the following areas:Project Team
- 5 Universities
- 5 PhDs
- 2 Ecologists
- 5 Developers
- 7 Mentors
Project development plan
- Concept Approval
- Creating the MVP website
- Creating the MonAir MVP
- Testing different sensors
- Beta version of the website and mobile application
- Validation of our MonAir OUT ground stations with government stations
- Setting up the weather module and Calpuff modeling
- Creating a weather forecast for 24 hours
- Creating a model of air quality pollution in Kryvyi Rih
- Creation of the first 4 MonAir OUT devices
- Creation of the IndoorSolution MVP
- EcoAirSolutions conferences 2021
- Creating a weather forecast for 48 hours
- Creation of MonAir OUT and MonAir IN
- Modeling of air pollution from Enterprises
- Modeling air pollution from Radiation
- Modeling air pollution from fires after February 24, 2022
- Mobile application with notifications about changes in air quality and weather
- 60-hour weather forecast validation
- Creation of MonAir OUT and MonAir IN with new sensors
- Creation of an automatic system for modeling air pollution from fires
- Mobile application with notifications about changes in air quality, weather, and fires
- Scaling
OUR INTRINSIC MOTIVATION is the SUSTAINABLE DEVELOPMENT GOALS
The goals of YourAirTest team directly correlate with the The Sustainable Development Goals (SDGs), set in 2015 by the United Nations General Assembly. Anong this 17 sustainable development goals the leading for our project are the following:
Good Health and Well-being
Clean Water and Sanitation
LIFE ON LAND
PARTNERSHIPS
for sustainable development