Air pollution has become a grave concern for many countries around the world. Consequently, air pollution is responsible for over 7 million fatalities worldwide. It is necessary to build a formidable defense mechanism against the rising air pollution levels in advance. A group of computer scientists from the UK developed a new AI system that identifies air pollution intensity around the world. Furthermore, it examines air data through sensors installed in various parts of the city to identify the pollution levels. The AI system examines the most crucial pollutant in the world: The PM 2.5 level.
PM 2.5 and the vitality of knowing its levels in advance
PM 2.5 refers to the atmospheric particulate matter (PM) less than 2.5 microns in diameter. However, these particles are so small that they are only detected with the help of an electron microscope. These particles have various sources of advent such as forest fires, agricultural burning, dust storms, volcanic eruptions, motor vehicles, etc. Therefore, as these particles are small, they are more likely to stay in the air for a long time. In addition, these particles trigger chronic diseases such as bronchitis, heart attack, and asthma.
The newly discovered AI can help researchers and policymakers to know the causes of these levels and discover ways to decrease them by analyzing the weather, environmental and seasonal data. The computer scientists developed this system with the help of machine learning, a technology that makes use of large data amounts to imbibe rules and features. Eventually, this enables the system to make predictions based on the data.
This research will help to achieve a clean future for the community and lead to the improvement of people’s health in the future to a great extent.
