Compositional data analysis of household waste recycling centres in Denmark

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Abstract

The Danish government has set a target of 50% recycling rates for household waste by 2022. To achieve this goal, the Danish municipalities should increase the source separation of household waste. While significant knowledge and experiences were locally gained, lessons learnt have not been extensively exploited country-wise, an important reason being that the influence of these changes has not been rigorously investigated and quantified, meaning that generalized conclusions could not be drawn so far. One of the reasons is that a consistent calculation method to assess and document the effect of these projects on the recycling rates does not exist. Thus, compositional data analysis technique was applied to analyze consistently waste data. Based on the waste composition obtained from a recycling center in Denmark, we analyzed the composition of waste treatment and disposal options. Zero and non-zero pattern was used to describe historical changes in the definition and components of waste fractions. Variation array was applied to determine the relationship between waste treatment and disposal options. As a result, compositional data analysis technique enables to analyze waste data regardless of the unit (mass or percentage).
Original languageEnglish
Publication date2017
Number of pages7
Publication statusPublished - 2017
Event7th international Workshop on Compositional Data analysis (CoDaWork 2017) - Siena, Italy
Duration: 5 Jun 20179 Jun 2017
Conference number: 7

Conference

Conference7th international Workshop on Compositional Data analysis (CoDaWork 2017)
Number7
CountryItaly
CitySiena
Period05/06/201709/06/2017

Keywords

  • Geometric mean
  • Recycling center
  • Variation array
  • Waste treatments

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