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Fusing Observational, Satellite Remote Sensing and Air Quality Model Simulated Data to Estimate Spatiotemporal Variations of PM2.5 Exposure in China

机译：融合观测，卫星遥感和空气质量模型模拟数据来估算中国pm2.5暴露的时空变化

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Tao Xue; Yixuan Zheng; Guannan Geng; Bo Zheng; Xujia Jiang; Qiang Zhang; Kebin He;
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1. Fusing Observational, Satellite Remote Sensing and Air Quality Model Simulated Data to Estimate Spatiotemporal Variations of PM 2.5 Exposure in China [J] . Tao Xue, Yixuan Zheng, Guannan Geng, Remote Sensing . 2017,第3期

机译：融合观测，卫星遥感和空气质量模型模拟数据以估算中国PM 2.5暴露的时空变化
2. Development of PM2.5 and NO2 models in a LUR framework incorporating satellite remote sensing and air quality model data in Pearl River Delta region, China [J] . Yang Xiaofan, Zheng Yixuan, Geng Guannan, Environmental Pollution . 2017,第Jula期

机译：在LUR框架中开发PM2.5和NO2模型，该模型结合了中国珠江三角洲地区的卫星遥感和空气质量模型数据
3. An empirical model to estimate daily forest fire smoke exposure over a large geographic area using air quality, meteorological, and remote sensing data [J] . YaoJ., HendersonS.B. Journal of exposure science & environmental epidemiology . 2014,第3期

机译：使用空气质量，气象和遥感数据估算大地理区域每天森林火灾烟雾暴露的经验模型
4. Spatiotemporal Continuous Estimates of PM2.5 Concentrations in China, 2000-2016: A Machine Learning Method with Inputs from Satellites, Chemical Transport Model, and Ground Observations [C] . Tao Xue, Yixuan Zheng, Jong Zhu, Joint annual meeting of the International Society of Exposure Science and the International Society for Environmental Epidemiology . 2018

机译：2000-2016年中国PM2.5浓度的时空连续估计：一种基于卫星，化学传输模型和地面观测输入的机器学习方法
5. Variational Data Assimilation of Satellite Remote Sensing Observations for Improving Methane Simulations in Chemical Transport Models [D] . Stanevich, Ilya. 2018

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6. An empirical model to estimate daily forest fire smoke exposure over a large geographic area using air quality meteorological and remote sensing data [O] . Jiayun Yao, Sarah B Henderson -1

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7. Fusing Observational, Satellite Remote Sensing and Air Quality Model Simulated Data to Estimate Spatiotemporal Variations of PM2.5 Exposure in China [O] . Tao Xue, Yixuan Zheng, Guannan Geng, 2017

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8. Observations from Satellites: Potential Impact on the United States Fishery. Some Considerations Affecting Satellite Data Contributions to Fisheries. Sea Surface Effects and Considerations Related to Remote Sensing from Orbiting Satellites. State of the ART: All-Weather Sea Surface Sensing [R] . Crutchfield, J. A., Coughran, E. H., Sullivan, R. H., 1967

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Fusing Observational, Satellite Remote Sensing and Air Quality Model Simulated Data to Estimate Spatiotemporal Variations of PM2.5 Exposure in China

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