Estimating hourly PM2.5 concentrations using MODIS 3 km AOD and an improved spatiotemporal model over Beijing-Tianjin-Hebei, China

References

Page 1

	Year	Citations
A Computer Movie Simulating Urban Growth in the Detroit Region Waldo Tobler Economic Geography	1970	9.3K
The MODIS Aerosol Algorithm, Products, and Validation L. A. Remer, Yoram J. Kaufman, D. Tanré, Journal of the Atmospheric Sciences Environmental MonitoringEngineeringAtmospheric SoundingAerosol ProductsAtmospheric Optics	2005	3.4K
Increased Particulate Air Pollution and the Triggering of Myocardial Infarction Annette Peters, Douglas W. Dockery, James E. Muller, Circulation	2001	1.5K
Reduction in Fine Particulate Air Pollution and Mortality Francine Laden, Joel Schwartz, Frank E. Speizer, American Journal of Respiratory and Critical Care Medicine	2006	1.4K
Intercomparison between satellite‐derived aerosol optical thickness and PM<sub>2.5</sub> mass: Implications for air quality studies Jun Wang, Sundar A. Christopher Geophysical Research Letters Environmental MonitoringEngineeringAtmospheric SoundingAir QualityModis Aot	2003	872
Mechanism for the formation of the January 2013 heavy haze pollution episode over central and eastern China Yuesi Wang, Yao Li, Lili Wang, Science China Earth Sciences Environmental MonitoringEngineeringAtmospheric ScienceAtmospheric Impact AssessmentAir Quality	2013	799
Qualitative and quantitative evaluation of MODIS satellite sensor data for regional and urban scale air quality Jill Engel‐Cox, Christopher Holloman, Basil W. Coutant, Atmospheric Environment Environmental MonitoringEngineeringAir Pollution MeasurementAtmospheric ScienceUrban Air Quality	2004	646
Risk of Nonaccidental and Cardiovascular Mortality in Relation to Long-term Exposure to Low Concentrations of Fine Particulate Matter: A Canadian National-Level Cohort Study Dan L. Crouse, Paul A. Peters, Aaron van Donkelaar, Environmental Health Perspectives	2012	623
A machine learning method to estimate PM2.5 concentrations across China with remote sensing, meteorological and land use information Gongbo Chen, Shanshan Li, Luke D. Knibbs, The Science of The Total Environment MeteorologyPollution DetectionEnvironmental MonitoringEngineeringAtmospheric Science	2018	577
A hybrid model for spatiotemporal forecasting of PM2.5 based on graph convolutional neural network and long short-term memory Yanlin Qi, Qi Li, Hamed Karimian, The Science of The Total Environment Forecasting MethodologySpatiotemporal ForecastingSpatiotemporal DiagnosticsMachine LearningData Science	2019	566

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