Reducing the Measurement Frequency of Chloride and Ammonium Concentrations in Wieringermeer Landfill Leachate via SARIMAX Model

Abstract

Research on sustainable landfill management has been studied since 30 years ago in the Netherlands, the principle of which is to reduce the emission of harmful substances from the landfill to the surrounding soil and groundwater. As for this purpose, the active treatment is applied on Wieringermeer landfill, meanwhile, the long-term monitoring of substance concentration is of great importance. The measurement frequency of chemical concentration is twice per month, which costs around 48000 / year. To save money by reducing the measurement frequency, SARIMAX model is studied as a tool of data interpolation. For this analysis, we currently focus on the concentration
measurements of chloride and ammonium. By comparing the SARIMAX interpolated data and the data with reduced size, the results indicate that directly dropping half of the measurements can be regarded as an acceptable way to reduce the measurement frequency, as the data properties are well preserved and the errors in estimating the mass of substances leaching out are in the acceptable range. However, interpolating using SARIMAX model doesn’t have significant improvements in preserving the data properties. Further quartering the data can lead to large deviations in data properties.