Tracking Air Pollution in China: Near Real-Time PM2.5 Retrievals from Multisource Data Fusion

• DOI: 10.1021/acs.est.1c01863
• Publication Date: 2021-08-19T06:09:57Z
• Authors: Guannan Geng; Qingyang Xiao; Shigan Liu; Xiaodong Liu; Jing Cheng; Yixuan Zheng; Tao Xue; Dan Tong; Bo Zheng; Yiran Peng; Xiaomeng Huang; Kebin He; Qiang Zhang
• Keywords: Aerosols; Air Pollutants; China; 01 natural sciences; 13. Climate action; Air Pollution; 11. Sustainability; Humans; Particulate Matter; Ecosystem; Environmental Monitoring; 0105 earth and related environmental sciences

Air pollution has altered the Earth's radiation balance, disturbed ecosystem, and increased human morbidity mortality. Accordingly, a full-coverage high-resolution air pollutant data set with timely updates historical long-term records is essential to support both research environmental management. Here, for first time, we develop near real-time database known as Tracking Pollution in China (TAP, http://tapdata.org.cn/) that combines information from multiple sources, including ground observations, satellite aerosol optical depth (AOD), operational chemical transport model simulations, other ancillary such meteorological fields, land use data, population, elevation. Daily PM2.5 at spatial resolution of 10 km our product. The TAP estimated based on two-stage machine learning coupled synthetic minority oversampling technique tree-based gap-filling method. Our an averaged out-of-bag cross-validation R2 0.83 different years, which comparable those studies, but improves its performance high levels fills gaps missing AOD daily scale. full coverage allow us track day-to-day variations concentrations over manner. since 2000 will also policy assessments health impact studies. are publicly available through website sharing communities.