Analyzing Long-Term Air Pollution Trends and Health Risks in Coastal City of Eastern China 2015-2022 Using Machine Learning

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This article narrates on the topic of air pollution’s long-term trend and health risk in a coastal city in Eastern China from 2015 to 2022. It was written by MDPI, a open access platform that provides free access to scientific research. Through machine learning, they studied the air pollution in the city and observed how this hazardous substance affects its urban residents. The conclusions of their findings are that air pollution has peaked during the years 2018 to 2020 and the health risk remains high, with a possible increase during the period of 2021-2022.

MDPI is a publisher of scholarly and open-access journals that provide quality, peer-reviewed research in all areas of science. They are not only a publisher but are also an open access platform which facilitates interested individuals and organisations to read high-impact scientific content without any subscription fees. For any published article, MDPI provides free access worldwide using the open-access license they provide. They also support an extensive archive of collections on topics such as Environmental Science, Earth and Planetary Sciences, Plant Sciences and many more.

The article was written by Professor Toshiaki Shinzaki of the Tokyo Institute of Technology, who contributes to the field of air pollution studies. He is a renowned professor in the field of air pollution research. He has published several papers in international journals on the topics of air pollution, air quality, and environmental issues. He is also the lead researcher on the study done on the air pollution long-term trend in Eastern China. He is a strong advocate on the need to address air pollution in the Asia Pacific region.

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