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

被引：3
|
作者：
Petrik, Attila [1 ]
Albanese, Stefano [1 ]
Lima, Annamaria [1 ]
Jordan, Gyozo [2 ]
Rolandi, Roberto [1 ]
Rezza, Carmela [1 ]
De Vivo, Benedetto [3 ,4 ]
机构：
[1] Univ Naples Federico II, Dept Earth Environm & Resources Sci, Via Cintia Snc, I-80126 Naples, Italy
[2] Szent Istvan Univ, Dept Appl Geochem, Godollo, Hungary
[3] Pegaso Univ, Piazza Trieste & Trento 48, I-80132 Naples, Italy
[4] Benecon Scarl, Environm & Terr Dept, Via S Maria di Costantinopoli 104, I-80138 Naples, Italy
来源：
GEOCHEMISTRY-EXPLORATION ENVIRONMENT ANALYSIS | 2018年 / 18卷 / 04期
关键词：
digital image processing; bedrock geology; fault density; terra rossa soils; Campania; RED MEDITERRANEAN SOILS; GRAZING LAND SOIL; TERRA-ROSSA; GEOCHEMICAL ANOMALIES; NEIGHBORHOOD STATISTICS; CAMPANIA REGION; IDENTIFICATION; SEPARATION; EUROPE; AREAS;
D O I：
10.1144/geochem2017-060
中图分类号：
P3 [地球物理学]; P59 [地球化学];
学科分类号：
0708 ; 070902 ;
摘要：
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.
引用
收藏
页码：319 / 330
页数：12
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