Spatial pattern recognition of arsenic in topsoil using high-density regional data

Attila Petrik, Stefano Albanese, Annamaria Lima, Gyozo Jordan, Roberto Rolandi, Carmela Rezza, Benedetto De Vivo

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Digital image processing analysis was carried out on As in topsoils of the Campania Region (Italy) to recognise any unknown spatial patterns. The highest As concentration is related to topsoils developed on the NW–SE-trending carbonate massifs overlain by pyroclastic rocks where the highest spatial variability and gradient magnitude of As concentration and the highest fault density were also observed. High As concentrations were also found in topsoils over volcanic rocks which played a control on its distribution pattern. The low As values are associated with topsoils along large fluvial valleys where the activity of rivers disturbed the As pattern by transporting larger grain-sized stream sediments with low As concentrations.

Original languageEnglish
Pages (from-to)319-330
Number of pages12
JournalGeochemistry: Exploration, Environment, Analysis
Volume18
Issue number4
DOIs
Publication statusPublished - Nov 1 2018

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Keywords

  • Bedrock geology
  • Campania
  • Digital image processing
  • Fault density
  • Terra rossa soils

ASJC Scopus subject areas

  • Chemistry(all)
  • Environmental Science(all)
  • Geochemistry and Petrology
  • Earth and Planetary Sciences(all)

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