Data loss from time series of pollutants in ambient air exhibiting seasonality: consequences and strategies for data prediction
Abstract
The effect of data loss on annual average concentrations of seasonal and non-seasonal pollutants in ambient air has been investigated. The bias caused to the true annual average has been shown to be significant for measurements of