[Application of ARIMA Model for Mid- and Long-term Forecasting of Ozone Concentration].
Ying-Ruo Li, Tingting Han, Junxia Wang, Weijun Quan, Di He, Re-Guang Jiao, Jin Wu, Heng Guo, Zhiqiang Ma
Abstract
between the predicted and observed value increased from 0.296-0.455 to 0.670-0.748, and RMSE was effectively reduced for the 8-hour ozone average predicted by the dynamic ARIMA model.
Topics & Concepts
OzoneAutoregressive integrated moving averageEnvironmental scienceMeteorologyPollutionBeijingCorrelation coefficientTime seriesAtmospheric sciencesTerm (time)Air pollutionMean squared errorStatisticsMathematicsGeographyChemistryOrganic chemistryGeologyEcologyArchaeologyChinaPhysicsBiologyQuantum mechanicsAir Quality Monitoring and ForecastingWater Quality Monitoring and Analysis