A new method to quickly identify outliers in air quality monitoring data
Tuesday, October 30, 2018 - 06:20
in Earth & Climate
Ambient air quality monitoring data comprise the most important source for public awareness of air quality, and are widely used in many research fields, such as improving air quality forecasting and the analysis of haze episodes. However, there are outliers among such monitoring data, due to instrument malfunctions, the influence of harsh environments, and the limitation of measuring methods.