Machine Learning Explains Long-Term Trend and Health Risk of Air Pollution during 2015–2022 in a Coastal City in Eastern China
Abstract
:1. Introduction
2. Data and Methods
2.1. Data Source
2.2. Meteorological Normalization Using RF Model
2.3. Calculation of Health-Risk-Based AQI (HAQI)
2.4. Calculation of Premature Mortality (M)
3. Results and Discussion
3.1. Modeling Evaluation
3.2. Impact of Anthropogenic Emissions on Air Pollution Trends
3.3. Impact of Meteorology on Air Pollution Trends
3.4. Health Risk and Premature Mortality Assessment
4. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Qian, Z.; Meng, Q.; Chen, K.; Zhang, Z.; Liang, H.; Yang, H.; Huang, X.; Zhong, W.; Zhang, Y.; Wei, Z.; et al. Machine Learning Explains Long-Term Trend and Health Risk of Air Pollution during 2015–2022 in a Coastal City in Eastern China. Toxics 2023, 11, 481. https://doi.org/10.3390/toxics11060481
Qian Z, Meng Q, Chen K, Zhang Z, Liang H, Yang H, Huang X, Zhong W, Zhang Y, Wei Z, et al. Machine Learning Explains Long-Term Trend and Health Risk of Air Pollution during 2015–2022 in a Coastal City in Eastern China. Toxics. 2023; 11(6):481. https://doi.org/10.3390/toxics11060481
Chicago/Turabian StyleQian, Zihe, Qingxiao Meng, Kehong Chen, Zihang Zhang, Hongwei Liang, Han Yang, Xiaolei Huang, Weibin Zhong, Yichen Zhang, Ziqian Wei, and et al. 2023. "Machine Learning Explains Long-Term Trend and Health Risk of Air Pollution during 2015–2022 in a Coastal City in Eastern China" Toxics 11, no. 6: 481. https://doi.org/10.3390/toxics11060481