Application of AI and Big Data to air pollution monitoring and forecasting: Experiences of some countries around the world and proposed solutions for Vietnam

Abstract

    Air pollution (AP) is currently considered one of the most serious threats to public health and the path to realizing the global Sustainable Development Goals (SDGs). Faced with this reality, more and more countries around the world are prioritizing the choice of modern technology, considering this as the main solution in the fight against AP, in which, artificial intelligence (AI) and big data (Big Data) are emerging as breakthrough tools, helping to analyze complex environmental data from many different sources. Thanks to their fast and accurate processing, these systems can identify pollution “hot spots” in real time; simulating the trend of dispersing hazardous substances, and at the same time providing a scientific foundation to develop effective and timely response policies. The article introduces a number of typical countries in the world that have successfully applied AI and Big Data to AP monitoring and forecasting, thereby proposing an appropriate direction for Vietnam.