Global estimates of daily ambient fine particulate matter concentrations and unequal spatiotemporal distribution of population exposure: a machine learning modelling study

作者：Wenhua Yu, Tingting Ye, Yiwen Zhang, Rongbin Xu, Yadong Lei, Zhuying Chen, Zhengyu Yang, Yuxi Zhang, Jiangning Song, Xu Yue, Shanshan Li, Yuming Guo · 发表于：The Lancet Planetary Health · 年份：2023 · DOI：10.1016/s2542-5196(23)00008-6 · 被引用次数：205 · 研究领域：Air Quality and Health Impacts、Air Quality Monitoring and Forecasting、Climate Change and Health Impacts

BACKGROUND: concentrations over recent decades. METHODS: concentrations for each calendar month were averaged across the 20-year period to investigate global seasonal patterns. FINDINGS: . Distinct seasonal patterns were indicated in many regions of the world. INTERPRETATION: , especially for areas where monitoring station data are not available. FUNDING: Australian Research Council, Australian Medical Research Future Fund, and the Australian National Health and Medical Research Council.