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Estimating PM2.5 concentrations via random forest method using satellite, auxiliary, and ground-level station dataset at multiple temporal scales across China in 2017

Random Forest MethodPollution DetectionEnvironmental MonitoringMultiple Temporal ScalesEngineeringAir Pollution MeasurementAtmospheric ScienceEnvironmental HealthGeographyAir Quality MonitoringAir QualityPm2.5 ConcentrationsAir PollutionParticulate MatterEarth ScienceSocial Sciences