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

Attila Petrik, Stefano Albanese, Annamaria Lima, G. Jordán, Roberto Rolandi, Carmela Rezza, Benedetto De Vivo

Research output: Article

3 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

Fingerprint

Volcanic rocks
Carbonates
pattern recognition
Arsenic
topsoil
Pattern recognition
arsenic
Sediments
Image processing
Rivers
Rocks
digital image
image processing
fluvial deposit
volcanic rock
carbonate
valley
river
rock

ASJC Scopus subject areas

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

Cite this

Spatial pattern recognition of arsenic in topsoil using high-density regional data. / Petrik, Attila; Albanese, Stefano; Lima, Annamaria; Jordán, G.; Rolandi, Roberto; Rezza, Carmela; De Vivo, Benedetto.

In: Geochemistry: Exploration, Environment, Analysis, Vol. 18, No. 4, 01.11.2018, p. 319-330.

Research output: Article

Petrik, Attila ; Albanese, Stefano ; Lima, Annamaria ; Jordán, G. ; Rolandi, Roberto ; Rezza, Carmela ; De Vivo, Benedetto. / Spatial pattern recognition of arsenic in topsoil using high-density regional data. In: Geochemistry: Exploration, Environment, Analysis. 2018 ; Vol. 18, No. 4. pp. 319-330.
@article{b5117862bf184b2caae85203b1ee497f,
title = "Spatial pattern recognition of arsenic in topsoil using high-density regional data",
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.",
keywords = "Bedrock geology, Campania, Digital image processing, Fault density, Terra rossa soils",
author = "Attila Petrik and Stefano Albanese and Annamaria Lima and G. Jord{\'a}n and Roberto Rolandi and Carmela Rezza and {De Vivo}, Benedetto",
year = "2018",
month = "11",
day = "1",
doi = "10.1144/geochem2017-060",
language = "English",
volume = "18",
pages = "319--330",
journal = "Geochemistry: Exploration, Environment, Analysis",
issn = "1467-7873",
publisher = "Geological Society of London",
number = "4",

}

TY - JOUR

T1 - Spatial pattern recognition of arsenic in topsoil using high-density regional data

AU - Petrik, Attila

AU - Albanese, Stefano

AU - Lima, Annamaria

AU - Jordán, G.

AU - Rolandi, Roberto

AU - Rezza, Carmela

AU - De Vivo, Benedetto

PY - 2018/11/1

Y1 - 2018/11/1

N2 - 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.

AB - 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.

KW - Bedrock geology

KW - Campania

KW - Digital image processing

KW - Fault density

KW - Terra rossa soils

UR - http://www.scopus.com/inward/record.url?scp=85042363515&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85042363515&partnerID=8YFLogxK

U2 - 10.1144/geochem2017-060

DO - 10.1144/geochem2017-060

M3 - Article

VL - 18

SP - 319

EP - 330

JO - Geochemistry: Exploration, Environment, Analysis

JF - Geochemistry: Exploration, Environment, Analysis

SN - 1467-7873

IS - 4

ER -