Ecological assessment of landfills with multivariate analysis — A feasibility study

Application of Multivariate Data Analyses in Waste Management

“…In a first step Mikhailov et al [62] collected conventional data to describe landfill stability. They investigated 3 different landfills in Russia, one illegal dump, an old poorly-run dump and a modern well-run landfill.…”

“…To illustrate the application of principal component analysis (PCA) the study by Mikhailov et al [62] is presented. He carried out multivariate data analysis for the ecological assessment of landfills.…”

“…Mikhailov et al [62] applied PCA for monitoring data from different landfills. They included parameters such as depth, ash content, volumetric weight, humidity, amounts of refuse in summer and winter as well as the topsoil depth of landfill sections, sewage sludge lenses and the existence of a protection system.…”

“…The objective of the study by Mikhailov et al [62] was to evaluate the stability of landfills based on many conventional parameters such as ash content, temperature, volume weight, pH, humidity and depth. They supposed that a multivariate approach could provide a more efficient data interpretation.…”

“…The soluble fraction, lignin and biological maturity index were summarised as biochemical parameters. Mikhailov et al [62] used PLS1 to predict maturity and stability based on conventionally measured data. Kylefors [61] developed prediction models for leachate concentrations of specific organic substances in leachate by means of conventional leachate analysis and PLS1.…”