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Multivariate analysis of historical data (2004-2013) in assessing the possible environmental impact of the Bellolampo landfill (Palermo).

Serena IndelicatoDavid BongiornoNicola TuzzolinoMaria Rosaria ManninoRosalia MuscarellaPasquale FradellaMaria Elena GarganoSalvatore NicosiaLeopoldo Ceraulo
Published in: Environmental monitoring and assessment (2018)
Multivariate analysis was performed on a large data set of groundwater and leachate samples collected during 9 years of operation of the Bellolampo municipal solid waste landfill (located above Palermo, Italy). The aim was to obtain the most likely correlations among the data. The analysis results are presented. Groundwater samples were collected in the period 2004-2013, whereas the leachate analysis refers to the period 2006-2013. For groundwater, statistical data evaluation revealed notable differences among the samples taken from the numerous wells located around the landfill. Characteristic parameters revealed by principal component analysis (PCA) were more deeply investigated, and corresponding thematic maps were drawn. The composition of the leachate was also thoroughly investigated. Several chemical macro-descriptors were calculated, and the results are presented. A comparison of PCA results for the leachate and groundwater data clearly reveals that the groundwater's main components substantially differ from those of the leachate. This outcome strongly suggests excluding leachate permeation through the multiple landfill lining.
Keyphrases
  • municipal solid waste
  • human health
  • electronic health record
  • anaerobic digestion
  • sewage sludge
  • drinking water
  • heavy metals
  • health risk
  • big data
  • data analysis
  • single molecule
  • artificial intelligence