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Research Article

Evaluating urban and nonurban PM2.5 variability under clean air actions in China during 2010–2022 based on a new high-quality dataset

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Article: 2310734 | Received 12 Sep 2023, Accepted 22 Jan 2024, Published online: 02 Feb 2024

References

  • An, Zhisheng, Ru-Jin Huang, Renyi Zhang, Xuexi Tie, Guohui Li, Junji Cao, Weijian Zhou, et al. 2019. “Severe Haze in Northern China: A Synergy of Anthropogenic Emissions and Atmospheric Processes.” Proceedings of the National Academy of Sciences of the United States of America 116 (18): 8657–8666. https://doi.org/10.1073/pnas.1900125116.
  • Apte, Joshua S., Julian D. Marshall, Aaron J. Cohen, and Michael Brauer. 2015. “Addressing Global Mortality from Ambient PM2.5.” Environmental Science & Technology 49 (13): 8057–8066. https://doi.org/10.1021/acs.est.5b01236.
  • Bai, Kaixu, Ke Li, Mingliang Ma, Kaitao Li, Zhengqiang Li, Jianping Guo, Ni-Bin Chang, Zhuo Tan, and Di Han. 2022. “LGHAP: The Long-term Gap-free High-resolution Air Pollutant Concentration Dataset, Derived via Tensor-Flow-based Multimodal Data Fusion.” Earth System Science Data 14 (2): 907–927. https://doi.org/10.5194/essd-14-907-2022.
  • Bai, Kaixu, Ke Li, Yibing Sun, Lv Wu, Ying Zhang, Ni-Bin Chang, and Zhengqiang Li. 2023. “Global Synthesis of Two Decades of Research on Improving PM2.5 Estimation Models from Remote Sensing and Data Science Perspectives.” Earth-Science Reviews 241:104461. https://doi.org/10.1016/j.earscirev.2023.104461.
  • Bian, Yahui, Zhijiong Huang, Jiamin Ou, Zhuangmin Zhong, Yuanqian Xu, Zhiwei Zhang, Xiao Xiao, et al. 2019. “Evolution of Anthropogenic air Pollutant Emissions in Guangdong Province, China, from 2006 to 2015.” Atmospheric Chemistry and Physics 19 (18): 11701–11719. https://doi.org/10.5194/acp-19-11701-2019.
  • Breiman, L. 1996. “Bagging Predictors.” Machine Learning 24 (2): 123–140. https://doi.org/10.1007/bf00058655.
  • Breiman, L. 2001. “Random Forests.” Machine Learning 45 (1): 5–32. https://doi.org/10.1023/A:1010933404324.
  • Cai, Wenju, Ke Li, Hong Liao, Huijun Wang, and Lixin Wu. 2017. “Weather Conditions Conducive to Beijing Severe Haze More Frequent under Climate Change.” Nature Climate Change 7 (4): 257–262. https://doi.org/10.1038/nclimate3249.
  • Candiani, Gabriele, Claudio Carnevale, Giovanna Finzi, Enrico Pisoni, and Marialuisa Volta. 2013. “A Comparison of Reanalysis Techniques: Applying Optimal Interpolation and Ensemble Kalman Filtering to Improve Air Quality Monitoring at Mesoscale.” Science of the Total Environment 458–460:7–14. https://doi.org/10.1016/j.scitotenv.2013.03.089.
  • Carnevale, Claudio, Giovanna Finzi, Enrico Pisoni, Vikas Singh, and Marialuisa Volta. 2011. “An Integrated air Quality Forecast System for a Metropolitan Area.” Journal of Environmental Monitoring 13 (12): 3437–3447. https://doi.org/10.1039/c1em10303b.
  • Chai, Tianfeng, Alice Crawford, Barbara Stunder, Michael J. Pavolonis, Roland Draxler, and Ariel Stein. 2017. “Improving Volcanic ash Predictions with the HYSPLIT Dispersion Model by Assimilating MODIS Satellite Retrievals.” Atmospheric Chemistry and Physics 17 (4): 2865–2879. https://doi.org/10.5194/acp-17-2865-2017.
  • Chan, Chak K., and Xiaohong Yao. 2008. “Air Pollution in Mega Cities in China.” Atmospheric Environment 42 (1): 1–42. https://doi.org/10.1016/j.atmosenv.2007.09.003.
  • Che, Huizheng, Xiaoye Zhang, Yang Li, Zijiang Zhou, and John J. Qu. 2007. “Horizontal Visibility Trends in China 1981–2005.” Geophysical Research Letters 34 (24), https://doi.org/10.1029/2007gl031450.
  • Chelani, Asha B. 2019. “Estimating PM2.5 Concentration from Satellite Derived Aerosol Optical Depth and Meteorological Variables Using a Combination Model.” Atmospheric Pollution Research 10 (3): 847–857. https://doi.org/10.1016/j.apr.2018.12.013.
  • Chen, Gongbo, Shanshan Li, Luke D. Knibbs, N. A. S. Hamm, Wei Cao, Tiantian Li, Jianping Guo, Hongyan Ren, Michael J. Abramson, and Yuming Guo. 2018. “A Machine Learning Method to Estimate PM2.5 Concentrations Across China with Remote Sensing, Meteorological and Land use Information.” Science of the Total Environment 636:52–60. https://doi.org/10.1016/j.scitotenv.2018.04.251.
  • Chen, Zhao-Yue, Tian-Hao Zhang, Rong Zhang, Zhong-Min Zhu, Jun Yang, Ping-Yan Chen, Chun-Quan Ou, and Yuming Guo. 2019. “Extreme Gradient Boosting Model to Estimate PM2.5 Concentrations with Missing-Filled Satellite Data in China.” Atmospheric Environment 202:180–189. https://doi.org/10.1016/j.atmosenv.2019.01.027.
  • Chu, Yuanyuan, Yisi Liu, Xiangyu Li, Zhiyong Liu, Hanson Lu, Yuanan Lu, Zongfu Mao, et al. 2016. “A Review on Predicting Ground PM2.5 Concentration Using Satellite Aerosol Optical Depth.” Atmosphere 7 (10). https://doi.org/10.3390/atmos7100129.
  • Ding, Aijun, Xin Huang, Wei Nie, Xuguang Chi, Zheng Xu, Longfei Zheng, Zhengning Xu, et al. 2019. “Significant Reduction of PM2.5 in Eastern China due to Regional-Scale Emission Control: Evidence from SORPES in 2011 to 2018.” Atmospheric Chemistry and Physics 19 (18): 11791–11801. https://doi.org/10.5194/acp-19-11791-2019.
  • Enebish, Temuulen, Khang Chau, Batbayar Jadamba, and Meredith Franklin. 2021. “Predicting Ambient PM(2.5)Concentrations in Ulaanbaatar, Mongolia with Machine Learning Approaches.” Journal of Exposure Science and Environmental Epidemiology 31 (4): 699–708. https://doi.org/10.1038/s41370-020-0257-8.
  • Gao, Genhong, Steven G. Pueppke, Qin Tao, Jing Wei, Weixin Ou, and Yu Tao. 2023. “Effect of Urban Form on PM2.5 Concentrations in Urban Agglomerations of China: Insights from Different Urbanization Levels and Seasons.” Journal of Environmental Management 327:116953. https://doi.org/10.1016/j.jenvman.2022.116953.
  • Gao, Lan, Xu Yue, Xiaoyan Meng, Li Du, Yadong Lei, Chenguang Tian, and Liang Qiu. 2020. “Comparison of Ozone and PM(2.5)Concentrations Over Urban, Suburban, and Background Sites in China.” Advances in Atmospheric Sciences 37 (12): 1297–1309. https://doi.org/10.1007/s00376-020-0054-2.
  • Geng, Guannan, Qingyang Xiao, Shigan Liu, Xiaodong Liu, Jing Cheng, Yixuan Zheng, Tao Xue, et al. 2021. “Tracking Air Pollution in China: Near Real-Time PM2.5 Retrievals from Multisource Data Fusion.” Environmental Science & Technology 55 (17): 12106–12115. https://doi.org/10.1021/acs.est.1c01863.
  • Geng, Guannan, Yixuan Zheng, Qiang Zhang, Tao Xue, Hongyan Zhao, Dan Tong, Bo Zheng, et al. 2021. “Drivers of PM2.5 air Pollution Deaths in China 2002–2017.” Nature Geoscience 14 (9): 645–650. https://doi.org/10.1038/s41561-021-00792-3.
  • Grange, Stuart K., and David C. Carslaw. 2019. “Using Meteorological Normalisation to Detect Interventions in Air Quality Time Series.” Science of the Total Environment 653:578–588. https://doi.org/10.1016/j.scitotenv.2018.10.344.
  • Grange, Stuart K., David C. Carslaw, Alastair C. Lewis, Eirini Boleti, and Christoph Hueglin. 2018. “Random Forest Meteorological Normalisation Models for Swiss PM10 Trend Analysis.” Atmospheric Chemistry and Physics 18 (9): 6223–6239. https://doi.org/10.5194/acp-18-6223-2018.
  • Gui, Ke, Huizheng Che, Zhaoliang Zeng, Yaqiang Wang, Shixian Zhai, Zemin Wang, Ming Luo, et al. 2020. “Construction of a Virtual PM2.5 Observation Network in China Based on High-density Surface Meteorological Observations Using the Extreme Gradient Boosting Model.” Environment International 141:105801. https://doi.org/10.1016/j.envint.2020.105801.
  • Guo, Yong, Kangwei Li, Bin Zhao, Jiandong Shen, William J. Bloss, Merched Azzi, and Yinping Zhang. 2022. “Evaluating the Real Changes of Air Quality Due to Clean Air Actions Using a Machine Learning Technique: Results from 12 Chinese Mega-Cities During 2013–2020.” Chemosphere 300:134608. https://doi.org/10.1016/j.chemosphere.2022.134608.
  • Guo, Cui, Zilong Zhang, Alexis K. H. Lau, Chang Qing Lin, Yuan Chieh Chuang, Jimmy Chan, Wun Kai Jiang, et al. 2018. “Effect of Long-term Exposure to Fine Particulate Matter on Lung Function Decline and Risk of Chronic Obstructive Pulmonary Disease in Taiwan: A Longitudinal, Cohort Study.” Lancet Planetary Health 2 (3): E114–E125. https://doi.org/10.1016/S2542-5196(18)30028-7.
  • Gupta, Pawan, Sundar A. Christopher, Jun Wang, Robert Gehrig, Yc Lee, and Naresh Kumar. 2006. “Satellite Remote Sensing of Particulate Matter and Air Quality Assessment Over Global Cities.” Atmospheric Environment 40 (30): 5880–5892. https://doi.org/10.1016/j.atmosenv.2006.03.016.
  • Han, Lijian, Weiqi Zhou, Weifeng Li, and Li Li. 2014. “Impact of Urbanization Level on Urban air Quality: A Case of Fine Particles (PM2.5) in Chinese Cities.” Environmental Pollution 194:163–170. https://doi.org/10.1016/j.envpol.2014.07.022.
  • Harrison, Roy M., Tuan Van Vu, Hanan Jafar, and Zongbo Shi. 2021. “More Mileage in Reducing Urban air Pollution from Road Traffic.” Environment International 149:106329. https://doi.org/10.1016/j.envint.2020.106329.
  • Hu, Xuefei, Jessica H. Belle, Xia Meng, Avani Wildani, Lance A. Waller, Matthew J. Strickland, and Yang Liu. 2017. “Estimating PM2.5 Concentrations in the Conterminous United States Using the Random Forest Approach.” Environmental Science & Technology 51 (12): 6936–6944. https://doi.org/10.1021/acs.est.7b01210.
  • Jing, Yue, Long Pan, and Yanling Sun. 2023. “Estimating PM2.5 Concentrations in a Central Region of China Using a Three-stage Model.” International Journal of Digital Earth 16 (1): 578–592. https://doi.org/10.1080/17538947.2023.2175499.
  • Kang, Yoojin, Hyunyoung Choi, Jungho Im, Seohui Park, Minso Shin, Chang-Keun Song, and Sangmin Kim. 2021. “Estimation of Surface-Level NO2 and O-3 Concentrations Using TROPOMI Data and Machine Learning Over East Asia.” Environmental Pollution 288:117711. https://doi.org/10.1016/j.envpol.2021.117711.
  • Ke, Guolin, Qi Meng, Thomas Finley, Taifeng Wang, Wei Chen, Weidong Ma, Qiwei Ye, and Tie-Yan Liu. 2017. “LightGBM: A Highly Efficient Gradient Boosting Decision Tree.” Paper presented at the 31st Annual Conference on Neural Information Processing Systems (NIPS), 2017 December 4–9, Long Beach, CA.
  • Lelieveld, J., J. S. Evans, M. Fnais, D. Giannadaki, and A. Pozzer. 2015. “The Contribution of Outdoor air Pollution Sources to Premature Mortality on a Global Scale.” Nature 525 (7569): 367–371. https://doi.org/10.1038/nature15371.
  • Li, Lijuan, Baozhang Chen, Yanhu Zhang, Youzheng Zhao, Yue Xian, Guang Xu, Huifang Zhang, and Lifeng Guo. 2018. “Retrieval of Daily PM2.5 Concentrations Using Nonlinear Methods: A Case Study of the Beijing-Tianjin-Hebei Region, China.” Remote Sensing 10 (12):2006, https://doi.org/10.3390/rs10122006.
  • Li, Jiayi, and Xin Huang. 2020. “Impact of Land-Cover Layout on Particulate Matter 2.5 in Urban Areas of China.” International Journal of Digital Earth 13 (4): 474–486. https://doi.org/10.1080/17538947.2018.1530310.
  • Li, Tongwen, Huanfeng Shen, Chao Zeng, Qiangqiang Yuan, and Liangpei Zhang. 2017. “Point-surface Fusion of Station Measurements and Satellite Observations for Mapping PM2.5 Distribution in China: Methods and Assessment.” Atmospheric Environment 152:477–489. https://doi.org/10.1016/j.atmosenv.2017.01.004.
  • Li, Mingge, Lili Wang, Jingda Liu, Wenkang Gao, Tao Song, Yang Sun, Liang Li, et al. 2020. “Exploring the Regional Pollution Characteristics and Meteorological Formation Mechanism of PM2.5 in North China during 2013–2017.” Environment International 134:105283. https://doi.org/10.1016/j.envint.2019.105283.
  • Li, Xue, Fang Zhang, Jingye Ren, Wenchao Han, Bo Zheng, Jieyao Liu, Lu Chen, and Sihui Jiang. 2022. “Rapid Narrowing of the Urban-Suburban Gap in Air Pollutant Concentrations in Beijing from 2014 to 2019.” Environmental Pollution 304:119146. https://doi.org/10.1016/j.envpol.2022.119146.
  • Liao, Hong, Wenyuan Chang, and Yang Yang. 2015. “Climatic Effects of Air Pollutants Over China: A Review.” Advances in Atmospheric Sciences 32 (1): 115–139. https://doi.org/10.1007/s00376-014-0013-x.
  • Lim, Stephen S., Theo Vos, Abraham D. Flaxman, Goodarz Danaei, Kenji Shibuya, Heather Adair-Rohani, Markus Amann, et al. 2012. “A Comparative Risk Assessment of Burden of Disease and Injury Attributable to 67 Risk Factors and Risk Factor Clusters in 21 Regions, 1990–2010: A Systematic Analysis for the Global Burden of Disease Study 2010.” Lancet 380 (9859): 2224–2260. https://doi.org/10.1016/S0140-6736(12)61766-8.
  • Lin, Changqing, Alexis K. H. Lau, Ying Li, Jimmy C. H. Fung, Chengcai Li, Xingcheng Lu, and Zhiyuan Li. 2018. “Difference in PM2.5 Variations Between Urban and Rural Areas Over Eastern China from 2001 to 2015.” Atmosphere 9 (8): 312. https://doi.org/10.3390/atmos9080312.
  • Liu, Miaomiao, Jun Bi, and Zongwei Ma. 2017. “Visibility-Based PM2.5 Concentrations in China: 1957–1964 and 1973–2014.” Environmental Science & Technology 51 (22): 13161–13169. https://doi.org/10.1021/acs.est.7b03468.
  • Liu, Jie, Jianli Ding, Liang Li, Xiaohang Li, Zhe Zhang, Si Ran, Xiangyu Ge, Junyong Zhang, and Jingzhe Wang. 2020. “Characteristics of Aerosol Optical Depth Over Land Types in Central Asia.” Science of the Total Environment 727:138676. https://doi.org/10.1016/j.scitotenv.2020.138676.
  • Liu, Ming, Yang Wang, Ruochen Liu, Chao Ding, Gaoxiang Zhou, and Ling Han. 2023. “How Magnitude of PM2.5 Exposure Disparities Have Evolved Across Chinese Urban-Rural Population During 2010–2019.” Journal of Cleaner Production 382:135333. https://doi.org/10.1016/j.jclepro.2022.135333.
  • Liu, Boya, Lili Wang, Lei Zhang, Zhiheng Liao, Yuesi Wang, Yang Sun, Jinyuan Xin, and Bo Hu. 2023. “Analysis of Severe Ozone-Related Human Health and Weather Influence Over China in 2019 Based on a High-Resolution Dataset.” Environmental Science and Pollution Research 30:111536–111551. https://doi.org/10.1007/s11356-023-30178-4.
  • Lu, Xingcheng, Changqing Lin, Wenkai Li, Yiang Chen, Yeqi Huang, Jimmy C. H. Fung, and Alexis K. H. Lau. 2019. “Analysis of the Adverse Health Effects of PM2.5 from 2001 to 2017 in China and the Role of Urbanization in Aggravating the Health Burden.” Science of the Total Environment 652: 683–695. https://doi.org/10.1016/j.scitotenv.2018.10.140.
  • Lyu, Yan, Qinru Ju, Fengmao Lv, Jialiang Feng, Xiaobing Pang, and Xiang Li. 2022. “Spatiotemporal Variations of Air Pollutants and Ozone Prediction Using Machine Learning Algorithms in the Beijing-Tianjin-Hebei Region from 2014 to 2021.” Environmental Pollution 306:119420. https://doi.org/10.1016/j.envpol.2022.119420.
  • Ma, Zongwei, Sagnik Dey, Sundar Christopher, Riyang Liu, Jun Bi, Palak Balyan, and Yang Liu. 2022. “A Review of Statistical Methods Used for Developing Large-Scale and Long-Term PM2.5 Models from Satellite Data.” Remote Sensing of Environment 269:112827. https://doi.org/10.1016/j.rse.2021.112827.
  • Manktelow, P. T., K. S. Carslaw, G. W. Mann, and D. V. Spracklen. 2010. “The Impact of Dust on Sulfate Aerosol, CN and CCN During an East Asian Dust Storm.” Atmospheric Chemistry and Physics 10 (2): 365–382. https://doi.org/10.5194/acp-10-365-2010.
  • Meng, Xia, Cong Liu, Lina Zhang, Weidong Wang, Jennifer Stowell, Haidong Kan, and Yang Liu. 2021. “Estimating PM2.5 Concentrations in Northeastern China with Full Spatiotemporal Coverage, 2005–2016.” Remote Sensing of Environment 253:112203. https://doi.org/10.1016/j.rse.2020.112203.
  • Pope, C. A., R. T. Burnett, M. J. Thun, E. E. Calle, D. Krewski, K. Ito, and G. D. Thurston. 2002. “Lung Cancer, Cardiopulmonary Mortality, and Long-term Exposure to Fine Particulate Air Pollution.” Jama-Journal of the American Medical Association 287 (9): 1132–1141. https://doi.org/10.1001/jama.287.9.1132.
  • Pui, David Y. H., Sheng-Chieh Chen, and Zhili Zuo. 2014. “PM2.5 in China: Measurements, Sources, Visibility and Health Effects, and Mitigation.” Particuology 13:1–26. https://doi.org/10.1016/j.partic.2013.11.001.
  • Shi, Zongbo, Congbo Song, Bowen Liu, Gongda Lu, Jingsha Xu, Van Vu Tuan, Robert J. R. Elliott, Weijun Li, William J. Bloss, and Roy M. Harrison. 2021. “Abrupt But Smaller Than Expected Changes in Surface Air Quality Attributable to COVID-19 Lockdowns.” Science Advances 7 (3). https://doi.org/10.1126/sciadv.abd6696.
  • Sun, Yele, Guoshun Zhuang, Kan Huang, Juan Li, Qiongzhen Wang, Ying Wang, Yanfen Lin, et al. 2010. “Asian Dust Over Northern China and its Impact on the Downstream Aerosol Chemistry in 2004.” Journal of Geophysical Research-Atmospheres 115. https://doi.org/10.1029/2009jd012757.
  • Tao, Minghui, Lili Wang, Liangfu Chen, Zifeng Wang, and Jinhua Tao. 2020. “Reversal of Aerosol Properties in Eastern China with Rapid Decline of Anthropogenic Emissions.” Remote Sensing 12 (3): 523. https://doi.org/10.3390/rs12030523.
  • Tian, Jingyu, Philip K. Hopke, Tianqi Cai, Zhongjie Fan, Yue Yu, Kaining Zhao, and Yuanxun Zhang. 2022. “Evaluation of Impact of “2 + 26 Regional Strategies on air Quality Improvement of Different Functional Districts in Beijing Based on a Long-term Field Campaign.” Environmental Research 212 (Pt D): 113452–113452. https://doi.org/10.1016/j.envres.2022.113452.
  • van Donkelaar, Aaron, Randall V. Martin, Michael Brauer, Ralph Kahn, Robert Levy, Carolyn Verduzco, and Paul J. Villeneuve. 2010. “Global Estimates of Ambient Fine Particulate Matter Concentrations from Satellite-based Aerosol Optical Depth: Development and Application.” Environmental Health Perspectives 118 (6): 847–855. https://doi.org/10.1289/ehp.0901623.
  • Vu, Tuan V., Zongbo Shi, Jing Cheng, Qiang Zhang, Kebin He, Shuxiao Wang, and Roy M. Harrison. 2019. “Assessing the Impact of Clean air Action on air Quality Trends in Beijing Using a Machine Learning Technique.” Atmospheric Chemistry and Physics 19 (17): 11303–11314. https://doi.org/10.5194/acp-19-11303-2019.
  • Wang, Su, Gang Huang, Jintai Lin, Kaiming Hu, Lin Wang, and Hainan Gong. 2019. “Chinese Blue Days: A Novel Index and Spatio-Temporal Variations.” Environmental Research Letters 14 (7): 074026. https://doi.org/10.1088/1748-9326/ab29bb.
  • Wang, Lili, Boya Liu, Rong Li, Xingfeng Chen, Lili Liu, Xiao Tang, Jingda Liu, et al. 2023. “Prediction of Daily PM2.5 and Ozone Based on High-Density Weather Stations in China: Nonlinear Effects of Meteorology, Human and Ecosystem Health Risks.” Atmospheric Research 293. https://doi.org/10.1016/j.atmosres.2023.106889.
  • Wang, Wenjie, David D. Parrish, Siwen Wang, Fengxia Bao, Ruijing Ni, Xin Li, Suding Yang, Hongli Wang, Yafang Cheng, and Hang Su. 2022. “Long-term Trend of Ozone Pollution in China during 2014–2020: Distinct Seasonal and Spatial Characteristics and Ozone Sensitivity.” Atmospheric Chemistry and Physics 22 (13): 8935–8949. https://doi.org/10.5194/acp-22-8935-2022.
  • Wang, Yaqian, Jieqiong Zhang, Zhipeng Bai, Wen Yang, Hui Zhang, Jian Mao, YanLing Sun, et al. 2019. “Background Concentrations of PMs in Xinjiang, West China: An Estimation Based on Meteorological Filter Method and Eckhardt Algorithm.” Atmospheric Research 215:141–148. https://doi.org/10.1016/j.atmosres.2018.09.008.
  • Wang, Lili, Nan Zhang, Zirui Liu, Yang Sun, Dongsheng Ji, and Yuesi Wang. 2014. “The Influence of Climate Factors, Meteorological Conditions, and Boundary-layer Structure on Severe Haze Pollution in the Beijing-Tianjin-Hebei Region During January 2013.” Advances in Meteorology 2014:1–14. https://doi.org/10.1155/2014/685971.
  • Wei, Jing, Wei Huang, Zhanqing Li, Wenhao Xue, Yiran Peng, Lin Sun, and Maureen Cribb. 2019. “Estimating 1-km-Resolution PM2.5 Concentrations across China Using the Space-time Random Forest Approach.” Remote Sensing of Environment 231:111221. https://doi.org/10.1016/j.rse.2019.111221.
  • Wei, Jing, Zhanqing Li, Maureen Cribb, Wei Huang, Wenhao Xue, Lin Sun, Jianping Guo, et al. 2020. “Improved 1 km Resolution PM2.5 Estimates across China Using Enhanced Space-time Extremely Randomized Trees.” Atmospheric Chemistry and Physics 20 (6): 3273–3289. https://doi.org/10.5194/acp-20-3273-2020.
  • Wei, Jing, Zhanqing Li, Alexei Lyapustin, Lin Sun, Yiran Peng, Wenhao Xue, Tianning Su, and Maureen Cribb. 2021. “Reconstructing 1-km-Resolution High-Quality PM2.5 Data Records from 2000 to 2018 in China: Spatiotemporal Variations and Policy Implications.” Remote Sensing of Environment 252:112136. https://doi.org/10.1016/j.rse.2020.112136.
  • Wei, Jing, Zhanqing Li, Jun Wang, Can Li, Pawan Gupta, and Maureen Cribb. 2023. “Ground-level Gaseous Pollutants (NO2, SO2, and CO) in China: Daily Seamless Mapping and Spatiotemporal Variations.” Atmospheric Chemistry and Physics 23 (2): 1511–1532. https://doi.org/10.5194/acp-23-1511-2023.
  • Wei, Jing, Song Liu, Zhanqing Li, Cheng Liu, Kai Qin, Xiong Liu, Rachel T. Pinker, et al. 2022. “Ground-Level NO2 Surveillance from Space Across China for High Resolution Using Interpretable Spatiotemporally Weighted Artificial Intelligence.” Environmental Science & Technology 56 (14): 9988–9998. https://doi.org/10.1021/acs.est.2c03834.
  • Wright, Marvin N., and Andreas Ziegler. 2017. “ranger: A Fast Implementation of Random Forests for High Dimensional Data in C Plus Plus and R.” Journal of Statistical Software 77 (1): 1–17. https://doi.org/10.18637/jss.v077.i01.
  • Xiao, Qingyang, Guannan Geng, Fengchao Liang, Xin Wang, Zhuo Lv, Yu Lei, Xiaomeng Huang, Qiang Zhang, Yang Liu, and Kebin He. 2020. “Changes in Spatial Patterns of PM2.5 Pollution in China 2000–2018: Impact of Clean air Policies.” Environment International 141:105776. https://doi.org/10.1016/j.envint.2020.105776.
  • Xiao, Q., G. Geng, S. Liu, J. Liu, X. Meng, and Q. Zhang. 2022. “Spatiotemporal Continuous Estimates of Daily 1 km PM2.5 from 2000 to Present under the Tracking Air Pollution in China (TAP) Framework.” Atmospheric Chemistry and Physics 22 (19): 13229–13242. https://doi.org/10.5194/acp-22-13229-2022.
  • Xiao, Zhisheng, Yucong Miao, Xiaohui Du, Wei Tang, Yang Yu, Xin Zhang, and Huizheng Che. 2020. “Impacts of Regional Transport and Boundary Layer Structure on the PM2.5 Pollution in Wuhan, Central China.” Atmospheric Environment 230:117508. https://doi.org/10.1016/j.atmosenv.2020.117508.
  • Xin, Jinyuan, Yuesi Wang, Yuepeng Pan, Dongsheng Ji, Zirui Liu, Tianxue Wen, Yinghong Wang, et al. 2015. “The Campaign on Atmospheric Aerosol Research Network of China Care-China.” Bulletin of the American Meteorological Society 96 (7): 1137–1155. https://doi.org/10.1175/BAMS-D-14-00039.1.
  • Xin, Jinyuan, Yuesi Wang, Lili Wang, Guiqian Tang, Yang Sun, Yuepeng Pan, and Dongsheng Ji. 2012. “Reductions of PM2.5 in Beijing-Tianjin-Hebei Urban Agglomerations During the 2008 Olympic Games.” Advances in Atmospheric Sciences 29 (6): 1330–1342. https://doi.org/10.1007/s00376-012-1227-4.
  • Xing, Li, Xingli Mao, and Keqin Duan. 2022. “Impacts of Urban-Rural Disparities in the Trends of PM2.5 and Ozone Levels in China during 2013–2019.” Atmospheric Pollution Research 13 (11): 101590. https://doi.org/10.1016/j.apr.2022.101590.
  • Xu, Yuelei, Yan Huang, and Zhongyang Guo. 2021. “Influence of AOD Remotely Sensed Products, Meteorological Parameters, and AOD-PM2.5 Models on the PM2.5 Estimation.” Stochastic Environmental Research and Risk Assessment 35 (4): 893–908. https://doi.org/10.1007/s00477-020-01941-7.
  • Xu, Wen, Qinghua Wu, Xuejun Liu, Aohan Tang, Anthony J. Dore, and Mathew R. Heal. 2016. “Characteristics of Ammonia, Acid Gases, and PM2.5 for Three Typical Land-use Types in the North China Plain.” Environmental Science and Pollution Research 23 (2): 1158–1172. https://doi.org/10.1007/s11356-015-5648-3.
  • Yang, Qian, Xinlei Zhang, Qing Luan, Shuai Sun, Yongqiang Zhao, Chenggege Fang, Xiaonan Mi, and Mengwei Li. 2023. “Optimization of Hourly PM2.5 Inversion Model Integrating Upper-Air Meteorological Elements.” IEEE Access 11:35421–35428. https://doi.org/10.1109/ACCESS.2023.3263790.
  • Yao, Xuefeng, Baozhu Ge, Aibing Li, Guanjun Chen, Fan Fan, Danhui Xu, Yuge Wang, Xiao Tang, Lei Kong, and Zifa Wang. 2023. “Spatio-temporal Variation of PM2.5 Pollution in Xinjiang and its Causes: The Growing Importance in air Pollution Situation in China.” Frontiers in Environmental Science 10. https://doi.org/10.3389/fenvs.2022.1051610.
  • Yao, Fei, Jiansheng Wu, Weifeng Li, and Jian Peng. 2019. “A Spatially Structured Adaptive two-Stage Model for Retrieving Ground-Level PM2.5 Concentrations from VIIRS AOD in China.” Isprs Journal of Photogrammetry and Remote Sensing 151:263–276. https://doi.org/10.1016/j.isprsjprs.2019.03.011.
  • Yin, Xiaohong, Zhijiong Huang, Junyu Zheng, Zibing Yuan, Wenbo Zhu, Xiaobo Huang, and Duohong Chen. 2017. “Source Contributions to PM2.5 in Guangdong Province, China by Numerical Modeling: Results and Implications.” Atmospheric Research 186:63–71. https://doi.org/10.1016/j.atmosres.2016.11.007.
  • Zeng, Qiaolin, Jinhua Tao, Liangfu Chen, Hao Zhu, SongYan Zhu, and Yang Wang. 2020. “Estimating Ground-level Particulate Matter in Five Regions of China Using Aerosol Optical Depth.” Remote Sensing 12 (5): 881. https://doi.org/10.3390/rs12050881.
  • Zhai, Shixian, Daniel J. Jacob, Xuan Wang, Lu Shen, Ke Li, Yuzhong Zhang, Ke Gui, Tianliang Zhao, and Hong Liao. 2019. “Fine Particulate Matter (PM2.5) Trends in China, 2013–2018: Separating Contributions from Anthropogenic Emissions and Meteorology.” Atmospheric Chemistry and Physics 19 (16): 11031–11041. https://doi.org/10.5194/acp-19-11031-2019.
  • Zhan, Yu, Yuzhou Luo, Xunfei Deng, Michael L. Grieneisen, Minghua Zhang, and Baofeng Di. 2018. “Spatiotemporal Prediction of Daily Ambient Ozone Levels Across China Using Random Forest for Human Exposure Assessment.” Environmental Pollution 233:464–473. https://doi.org/10.1016/j.envpol.2017.10.029.
  • Zhang, Ying, Zhengqiang Li, Kaixu Bai, Yuanyuan Wei, Yisong Xie, Yuanxun Zhang, Yang Ou, et al. 2021. “Satellite Remote Sensing of Atmospheric Particulate Matter Mass Concentration: Advances, Challenges, and Perspectives.” Fundamental Research 1 (3): 240–258. https://doi.org/10.1016/j.fmre.2021.04.007.
  • Zhang, Haoran, Nan Li, Keqin Tang, Hong Liao, Chong Shi, Cheng Huang, Hongli Wang, et al. 2022. “Estimation of Secondary PM2.5 in China and the United States Using a Multi-tracer Approach.” Atmospheric Chemistry and Physics 22 (8): 5495–5514. https://doi.org/10.5194/acp-22-5495-2022.
  • Zhang, Lei, Lili Wang, Boya Liu, Guiqian Tang, Baoxian Liu, Xue Li, Yang Sun, et al. 2023. “Contrasting Effects of Clean Air Actions on Surface Ozone Concentrations in Different Regions Over Beijing from May to September 2013–2020.” The Science of the Total Environment 903:166182–166182. https://doi.org/10.1016/j.scitotenv.2023.166182.
  • Zhang, Lei, Lili Wang, Runyu Wang, Nan Chen, Yuan Yang, Ke Li, Jie Sun, et al. 2024. “Exploring Formation Mechanism and Source Attribution of Ozone During the 2019 Wuhan Military World Games: Implications for Ozone Control Strategies.” Journal of Environmental Sciences 136:400–411. https://doi.org/10.1016/j.jes.2022.12.009.
  • Zhang, Qiang, Yixuan Zheng, Dan Tong, Min Shao, Shuxiao Wang, Yuanhang Zhang, Xiangde Xu, et al. 2019. “Drivers of Improved PM2.5 Air Quality in China from 2013 to 2017.” Proceedings of the National Academy of Sciences of the United States of America 116 (49): 24463–24469. https://doi.org/10.1073/pnas.1907956116.
  • Zheng, Bo, Jing Cheng, Guannan Geng, Xin Wang, Meng Li, Qinren Shi, Ji Qi, Yu Lei, Qiang Zhang, and Kebin He. 2021. “Mapping Anthropogenic Emissions in China at 1 km Spatial Resolution and its Application in Air Quality Modeling.” Science Bulletin 66 (6): 612–620. https://doi.org/10.1016/j.scib.2020.12.008.
  • Zhong, Qirui, Shu Tao, Jianmin Ma, Junfeng Liu, Huizhong Shen, Guofeng Shen, Dabo Guan, et al. 2021. “PM2.5 Reductions in Chinese Cities from 2013 to 2019 Remain Significant Despite the Inflating Effects of Meteorological Conditions.” One Earth 4 (3): 448–458. https://doi.org/10.1016/j.oneear.2021.02.003.
  • Zhong, Junting, Xiaoye Zhang, Ke Gui, Yaqiang Wang, Huizheng Che, Xiaojing Shen, Lei Zhang, Yangmei Zhang, Junying Sun, and Wenjie Zhang. 2021. “Robust Prediction of Hourly PM2.5 from Meteorological Data Using LightGBM.” National Science Review 8 (10). https://doi.org/10.1093/nsr/nwaa307.
  • Zhu, Weiwei, Meichang Wang, and Bingbing Zhang. 2019. “The Effects of Urbanization on PM2.5 Concentrations in China's Yangtze River Economic Belt: New Evidence from Spatial Econometric Analysis.” Journal of Cleaner Production 239. https://doi.org/10.1016/j.jclepro.2019.118065.