Ferid Skopljak

Federal Institute for Geosciences and Natural Resources

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Daniel Elster

Geological Survey of Austria

Diana Perșa

Institutul Geologic al României

Ignasi Herms

Institut Cartogràfic i Geològic de Catalunya

Georgina Arnó

Institut Cartogràfic i Geològic de Catalunya

AŠ

Ajka Šorša

Croatian Geological Survey

Clemens Reimann

Norwegian Geological Survey

Andreas Scheib

Gemalto (Israel)

Peter Filzmoser

TU Wien

Mona Eklund

Lund University

Vincent Bailly-Comte

Bureau de Recherches Géologiques et Minières

Cooperative Institutions

Gemalto (Israel)

Norwegian Geological Survey

Geological Survey of Sweden

University of Johannesburg

Bureau de Recherches Géologiques et Minières

Geological Survey of Finland

TU Bergakademie Freiberg

Departamento de Ciência e Tecnologia

Australian National University

Federal Institute for Geosciences and Natural Resources

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The Eurogeosurveys Geochemical Mapping of Agricultural and Grazing Land Soil Project (GEMAS) - Evaluation of Quality Control Results of Aqua Regia Extraction Analysis

Clemens Reimann Alecos Demetriades Peter Filzmoser Stefano Albanese Madelen Andersson

Aqua regia

Soil Quality

Agricultural land

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Citations (39)

GeoERA RESOURCE CHAKA data set which contains time series of precipitation and discharge of springs in the CHAKA pilot areas (D5.5)

Zenodo (CERN European Organization for Nuclear Research) (2021)

Jean‐Christophe Maréchal Vincent Bailly-Comte Caoimhe Hickey Lou Maurice Andrej Stroj

Dataset which contains time series of precipitation and discharge of springs in the pilot areas of the CHAKA work package of the GeoERA RESOURCE project. The file contains precipitation and spring discharge data of 16 pilot areas in the Karst & Chalk work package. A description of the application of the dataset for the characterisation of the typology of karst systems in given in the D5.3 deliverable of GeoERA RESOURCE of which the pdf is provided. Further information about the CHAKA results can be assessed though the webservices of the European Geological Data Infrastructure (EGDI).

10.5281/zenodo.5668386

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GEMAS: Chemical weathering of silicate parent materials revealed by agricultural soil of Europe

Chemical Geology (2023)

Philippe Négrel Anna Ladenberger Clemens Reimann Alecos Demetriades Manfred Birke

Soil production function

Bedrock

Parent material

Parent rock

Silicate minerals

10.1016/j.chemgeo.2023.121732

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Citations (6)

GeoERA RESOURCE CHAKA data set which contains time series of precipitation and discharge of springs in the CHAKA pilot areas (D5.5)

Zenodo (CERN European Organization for Nuclear Research) (2021)

Jean‐Christophe Maréchal Vincent Bailly-Comte Caoimhe Hickey Lou Maurice Andrej Stroj

Data set

10.5281/zenodo.5668387

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Analysis of the geological control on the spatial distribution of potentially toxic concentrations of As and F- in groundwater on a Pan-European scale

Ecotoxicology and Environmental Safety (2022)

Elena Giménez‐Forcada Juan Antonio Luque-Espinar María Teresa López-Bahut Juan Grima Olmedo Jorge Jiménez‐Sánchez

The distribution of the high concentrations of arsenic (As) and fluoride (F-) in groundwater on a Pan-European scale could be explained by the geological European context (lithology and structural faults). To test this hypothesis, seventeen countries and eighteen geological survey organizations (GSOs) have participated in the dataset. The methodology has used the HydroGeoToxicity (HGT) and the Baseline Concentration (BLC) index. The results prove that most of the waters considered in this study are in good conditions for drinking water consumption, in terms of As and/or F- content. A low proportion of the analysed samples present HGT≥ 1 levels (4% and 7% for As and F-, respectively). The spatial distribution of the highest As and/or F- concentrations (via BLC values) has been analysed using GIS tools. The highest values are identified associated with fissured hard rock outcrops (crystalline rocks) or Cenozoic sedimentary zones, where basement fractures seems to have an obvious control on the distribution of maximum concentrations of these elements in groundwaters.

Lithology

Outcrop

Basement

10.1016/j.ecoenv.2022.114161

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Citations (5)