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5 results on '"Oorts, K."'

1. Use of GEMAS data for risk assessment of cadmium in European agricultural and grazing land soil under the REACH Regulation

Author

Birke, M., Reimann, C., Oorts, K., Uwe, R., Alecos, D., Dinelli, E., Ladenberger, A., Halamić, J., Mateja, G., Jähne Klingberg, F., Andersson, M., Baritz, R., Batista, M. J., Bel Ian, A., Cicchella, D., De Vos, W., Duris, M., Dusza Dobek, A., Eggen, O. A., Eklund, M., Ernsten, V., Filzmoser, P., Flight, D. M. A., Forrester, S., Fügedi, U., Gilcucis, A., Gregorauskiene, V., De Groot, W., Gulan, A., Haslinger, E., Hayoz, P., Hoogewerff, J., Hrvatovic, H., Husnjak, S., Janik, L., Jordan, G., Kaminari, M., Kirby, J., Klos, V., Kwecko, P., Kuti, L., Locutura, J., Lucivjansky, P., Mann, A., Mackovych, D., Mclaughlin, M., Malyuk, B. I., Maquil, R., Meuli, R. G., Mol, G., Negrel, P., ’Connor, P. O, Ottesen, R. T., Pasnieczna, A., Petersell, V., Pfleiderer, S., Ponavi c, M., Prazeres, C., Radusinovic, S., Salpeteur, I., Scanlon, R., Schedl, A., Scheib, A., Schoeters, I., Sefcik, P., Sellersjo, E., Slaninka, I., Soriano Disla, J. M., Sorsa, A., Svrkota, R., Stafilov, T., Tarvainen, T., Tendavilov, V., Valera, P., Verougstraete, V., Vidojevic, D., Zomeni, Z., Zissimos, A., ALBANESE, STEFANO, DE VIVO, BENEDETTO, LIMA, ANNAMARIA, Birke, M., Reimann, C., Oorts, K., Uwe, R., Alecos, D., Dinelli, E., Ladenberger, A., Halamić, J., Mateja, G., Jähne Klingberg, F., Albanese, Stefano, Andersson, M., Baritz, R., Batista, M. J., Bel Ian, A., Cicchella, D., DE VIVO, Benedetto, De Vos, W., Duris, M., Dusza Dobek, A., Eggen, O. A., Eklund, M., Ernsten, V., Filzmoser, P., Flight, D. M. A., Forrester, S., Fügedi, U., Gilcucis, A., Gregorauskiene, V., De Groot, W., Gulan, A., Haslinger, E., Hayoz, P., Hoogewerff, J., Hrvatovic, H., Husnjak, S., Janik, L., Jordan, G., Kaminari, M., Kirby, J., Klos, V., Kwecko, P., Kuti, L., Lima, Annamaria, Locutura, J., Lucivjansky, P., Mann, A., Mackovych, D., Mclaughlin, M., Malyuk, B. I., Maquil, R., Meuli, R. G., Mol, G., Negrel, P., ’Connor, P. O, Ottesen, R. T., Pasnieczna, A., Petersell, V., Pfleiderer, S., Ponavi c, M., Prazeres, C., Radusinovic, S., Salpeteur, I., Scanlon, R., Schedl, A., Scheib, A., Schoeters, I., Sefcik, P., Sellersjo, E., Slaninka, I., Soriano Disla, J. M., Sorsa, A., Svrkota, R., Stafilov, T., Tarvainen, T., Tendavilov, V., Valera, P., Verougstraete, V., Vidojevic, D., Zomeni, Z., Zissimos, A., Birke, Manfred, Reimann, Clemen, Oorts, Koen, Rauch, Uwe, Demetriades, Aleco, Dinelli, Enrico, Ladenberger, Anna, Halamić, Josip, Gosar, Mateja, and Jähne-Klingberg, Fabian

Subjects
Pollution, agricultural soil, grazing land soil, risk assessment, REACH, cadmium, Soil test, media_common.quotation_subject, chemistry.chemical_element, 010501 environmental sciences, 010502 geochemistry & geophysics, Agricultural soil, 01 natural sciences, Ecology and Environment, Geochemistry and Petrology, Grazing, Environmental Chemistry, Risk assessment, 0105 earth and related environmental sciences, media_common, Hydrology, Cadmium, business.industry, Forestry, Expert group, Chemistry, chemistry, Agriculture, Soil water, Earth Sciences, business, Grazing land soil
Abstract

Over 4000 soil samples were collected for the “Geochemical Mapping of Agricultural and Grazing Land Soil of Europe” (GEMAS) project carried out by the EuroGeoSurveys Geochemistry Expert Group. Cadmium concentrations are reported for the

Published
2016

2. GEMAS: Cobalt, Cr, Cu and Ni distribution in agricultural and grazing land soil of Europe

Author

ALBANESE, STEFANO, LIMA, ANNAMARIA, DE VIVO, BENEDETTO, Sadeghi, M., Cicchella, D., Dinelli, E., Valera, P., Falconi, M., Demetriades, A., Andersson, M., Baritz, R., Batista, M. J., Bel lan, A., Birke, M., De Vos, W., Ďuriš, M., Dusza Dobek, A., Eggen, O. A., Eklund, M., Ernstsen, V., Filzmoser, P., Flight, D. M. A., Forrester, S., Fuchs, M., Fügedi, U., Gilucis, A., Gosar, M., Gregorauskiene, V., De Groot, W., Gulan, A., Halamić, J., Haslinger, E., Hayoz, P., Hoffmann, R., Hoogewerff, J., Hrvatovic, H., Husnjak, S., Janik, L., Jordan, G., Kaminari, M., Kirby, J., Klos, V., Krone, F., Kwecko, P., Kuti, L., Ladenberger, A., Locutura, J., Lucivjansky, P., Mann, A., Mackovych, D., Mclaughlin, M., Malyuk, B. I., Maquil, R., Meuli, R. G., Mol, G., Négrel, P., O'Connor, P., Oorts, K., Ottesen, R. T., Pasieczna, A., Petersell, V., Pfleiderer, S., Poňavič, M., Prazeres, C., Rauch, U., Radusinović, S., Reimann, C., Salpeteur, I., Scanlon, R., Schedl, A., Scheib, A., Schoeters, I., Sellersjö, E., Slaninka, I., Soriano Disla, J. M., Šorša, A., Svrkota, R., Stafilov, T., Tarvainen, T., Trendavilov, V., Verougstraete, V., Vidojević, D., Zomeni, Z., Albanese, Stefano, Sadeghi, M., Lima, Annamaria, Cicchella, D., Dinelli, E., Valera, P., Falconi, M., Demetriades, A., DE VIVO, Benedetto, Andersson, M., Baritz, R., Batista, M. J., Bel lan, A., Birke, M., De Vos, W., Ďuriš, M., Dusza Dobek, A., Eggen, O. A., Eklund, M., Ernstsen, V., Filzmoser, P., Flight, D. M. A., Forrester, S., Fuchs, M., Fügedi, U., Gilucis, A., Gosar, M., Gregorauskiene, V., De Groot, W., Gulan, A., Halamić, J., Haslinger, E., Hayoz, P., Hoffmann, R., Hoogewerff, J., Hrvatovic, H., Husnjak, S., Janik, L., Jordan, G., Kaminari, M., Kirby, J., Klos, V., Krone, F., Kwecko, P., Kuti, L., Ladenberger, A., Locutura, J., Lucivjansky, P., Mann, A., Mackovych, D., Mclaughlin, M., Malyuk, B. I., Maquil, R., Meuli, R. G., Mol, G., Négrel, P., O'Connor, P., Oorts, K., Ottesen, R. T., Pasieczna, A., Petersell, V., Pfleiderer, S., Poňavič, M., Prazeres, C., Rauch, U., Radusinović, S., Reimann, C., Salpeteur, I., Scanlon, R., Schedl, A., Scheib, A., Schoeters, I., Sellersjö, E., Slaninka, I., Soriano Disla, J. M., Šorša, A., Svrkota, R., Stafilov, T., Tarvainen, T., Trendavilov, V., Verougstraete, V., Vidojević, D., Zomeni, Z., Albanese, S., Lima, A., De Vivo, B., Batista, M.J., Bel-lan, A., Duris, M., Dusza-Dobek, A., Eggen, O.A., Flight, D.M.A., Fugedi, U., Halamic, J., Malyuk, B.I., Meuli, R.G., Negrel, P., Ottesen, R.T., Ponavic, M., Radusinovic, S., Sellersjo, E., Soriano-Disla, J.M., Sorsa, A., and Vidojevic, D.

Subjects
Mediterranean climate, Soil test, Metal, Mafic-ultramafic rocks, Soil guidelines, Earth science, European soil, Mineralogy, cobalt, crom, distribution, Ni, Cu, Ophiolite, Metals, Geochemistry and Petrology, Ultramafic rock, Grazing, Geochemical mapping, Economic Geology, Glacial period, Mafic, European soil Mafic–ultramafic rocks Metals Geochemical mapping Soil guidelines, Scale (map), Geology, Mafic-ultramafic rock
Abstract

In the framework of the GEMAS project, 2211 samples of agricultural soil (Ap, 0-20cm, regularly ploughed fields), and 2118 samples from land under permanent grass cover (Gr, 0-10cm, grazing land soil) were collected across almost the whole European continent, at a density of 1 sample site/2500km2, in accordance with a common sampling protocol.Among many other elements, the concentrations of Co, Cr, Cu and Ni in European soil were determined by ICP-MS after a hot aqua extraction, and WD-XRFS analytical methods, and their spatial distribution patterns generated by means of a GIS software.The presence of mafic and ultramafic rocks, ophiolite complexes and mineralisation, is widespread across the European continent, and seems to explain most of the variability of the elements studied in this paper. A large belt, north of the last glaciation maximum limit, is generally dominated by lower concentrations compared with central European and Mediterranean areas and to some areas in Northern Europe where higher Co, Cr, Cu and Ni values also occur.The application of the guideline value set for Cu and Ni by the EU Directive 86/278/EEC to the Ap soil samples of the GEMAS data set highlighted that at the continental scale the use of a unique reference interval is a tool of limited effectiveness; the lithological variation, occurring across a whole continent, generates changes in the geochemistry of soil, which cannot be accommodated by using a single reference interval even if it is very wide. The GEMAS data set should form the sound basis to set at the European scale the geochemical background reference intervals, at least, for regions sharing common lithological settings and a common geological history. •Geochemistry of Co, Cr, Cu and Ni•Mineral deposits in Europe with Co, Cr, Cu and Ni•Distribution of Co, Cr, Cu and Ni in European agricultural and grazing land soil•Comparison of aqua regia extractable and total element concentrations in soil•Comparison of Cu and Ni concentrations with European guideline values. © 2015 Elsevier B.V.

Published
2015

3. The concept of compositional data analysis in practice--total major element concentrations in agricultural and grazing land soils of Europe

Author

Reimann C., Filzmoser P., Fabian K., Hron K., Birke M., Demetriades A., Ladenberger A., Albanese S., Andersson M., Arnoldussen A., Baritz R., Batista M. J., Bel lan A., Cicchella D., De Vivo B., De Vos W., Duris M., Dusza Dobek A., Eggen O. A., Eklund M., Ernstsen V., Finne T. E., Flight D., Forrester S., Fuchs M., Fugedi U., Gilucis A., Gosar M., Gregorauskiene V., Gulan A., Halamic J., Haslinger E., Hayoz P., Hobiger G., Hoffmann R., Hoogewerff J., Hrvatovic H., Husnjak S., Janik L., Johnson C. C., Jordan G., Kirby J., Kivisilla J., Klos V., Krone F., Kwecko P., Kuti L., Lima A., Locutura J., Lucivjansky P., Mackovych D., Malyuk B. I., Maquil R., McLaughlin M. J., Meuli R. G., Miosic N., Mol G., Négrel P., O'Connor P., Oorts K., Ottesen R. T, Pasieczna A., Petersell V., Pfleiderer S., Ponavic M., Prazeres C., Rauch U., Salpeteur I., Schedl A., Scheib A., Schoeters I., Sefcik P., Sellersjö E., Skopljak F., Slaninka I., Šorša A., Srvkota R., Stafilov T., Tarvainen T., Trendavilov V., Valera P., Verougstraete V., Vidojevic D., Zissimos A. M., Zomeni Z., DINELLI, ENRICO, Reimann, C., Filzmoser, P., Fabian, K., Hron, K., Birke, M., Demetriades, A., Dinelli, E., Ledenberger, A., GEMAS Project, Team, Albanese, Stefano, Cicchella, D., DE VIVO, Benedetto, Lima, Annamaria, Valera, P., Reimann C., Filzmoser P., Fabian K., Hron K., Birke M., Demetriades A., Dinelli E., Ladenberger A., Albanese S., Andersson M., Arnoldussen A., Baritz R., Batista M.J., Bel-lan A., Cicchella D., De Vivo B., De Vos W., Duris M., Dusza-Dobek A., Eggen O.A., Eklund M., Ernstsen V., Finne T.E., Flight D., Forrester S., Fuchs M., Fugedi U., Gilucis A., Gosar M., Gregorauskiene V., Gulan A., Halamic J., Haslinger E., Hayoz P., Hobiger G., Hoffmann R., Hoogewerff J., Hrvatovic H., Husnjak S., Janik L., Johnson C.C., Jordan G., Kirby J., Kivisilla J., Klos V., Krone F., Kwecko P., Kuti L., Lima A., Locutura J., Lucivjansky P., Mackovych D., Malyuk B.I., Maquil R., McLaughlin M.J., Meuli R.G., Miosic N., Mol G., Négrel P., O'Connor P., Oorts K., Ottesen R.T, Pasieczna A., Petersell V., Pfleiderer S., Ponavic M., Prazeres C., Rauch U., Salpeteur I., Schedl A., Scheib A., Schoeters I., Sefcik P., Sellersjö E., Skopljak F., Slaninka I., Šorša A., Srvkota R., Stafilov T., Tarvainen T., Trendavilov V., Valera P., Verougstraete V., Vidojevic D., Zissimos A.M., and Zomeni Z.

Subjects
Environmental Engineering, Multivariate analysis, XRF, Agricultural soil, Major elements, Europe, Geochemistry, Compositional data, Scandinavian and Nordic Countries, Stability (probability), Data type, Major element, Soil, Statistics, Environmental Chemistry, Soil Pollutants, Waste Management and Disposal, Mathematics, geochemistry, Measure (data warehouse), Compositional data, Agricultural Soils, Grazing soils, agricultural soil, major elements, Agriculture, Pollution, compositional data, Trace Elements, Euclidean distance, Variable (computer science), Exploratory data analysis, Multivariate Analysis, Europa, Environmental Monitoring
Abstract

Applied geochemistry and environmental sciences invariably deal with compositional data. Classically, the original or log-transformed absolute element concentrations are studied. However, compositional data do not vary independently, and a concentration based approach to data analysis can lead to faulty conclusions. For this reason a better statistical approach was introduced in the 1980s, exclusively based on relative information. Because the difference between the two methods should be most pronounced in large-scale, and therefore highly variable, datasets, here a new dataset of agricultural soils, covering all of Europe (5.6 million km2) at an average sampling density of 1 site/2500 km2, is used to demonstrate and compare both approaches. Absolute element concentrations are certainly of interest in a variety of applications and can be provided in tabulations or concentration maps. Maps for the opened data (ratios to other elements) provide more specific additional information. For compositional data XY plots for raw or log-transformed data should only be used with care in an exploratory data analysis (EDA) sense, to detect unusual data behaviour, candidate subgroups of samples, or to compare pre-defined groups of samples. Correlation analysis and the Euclidean distance are not mathematically meaningful concepts for this data type. Element relationships have to be investigated via a stability measure of the (log-)ratios of elements. Logratios are also the key ingredient for an appropriate multivariate analysis of compositional data, Geological Survey of Norway, Noruega, Institute for Statistics and Probability Theory, Vienna University of Technology, Austria, Department of Mathematical Analysis and Applications of Mathematics, Palacký University, República Checa, Federal Institute for Geosciences and Natural Resources, Alemania, Institute of Geology and Mineral Exploration, Grecia, Dipartimento di Scienze della Terra, Università di Bologna, Italia, Geological Survey of Sweden, Suecia

Published
2011

4. GEMAS: Spatial analysis of the Ni distribution on a continental-scale using digital image processing techniques on European agricultural soil data

Author

Jordan, Gyozo, Petrik, Attila, De Vivo, Benedetto, Albanese, Stefano, Demetriades, Alecos, Sadeghi, Martiya, M. Andersson, R. Baritz, M. J. Batista, A. Bel-lan, M. Birke, D. Cicchella, W. De Vos, E. Dinelli, M. Ďuriš, A. Dusza-Dobek, O. A. Eggen, M. Eklund, V. Ernstsen, P. Filzmoser, D. M. A. Flight, S. Forrester, M. Fuchs, U. Fügedi, A. Gilucis, M. Gosar, V. Gregorauskiene, W. De Groot, A. Gulan, J. Halamić, E. Haslinger, P. Hayoz, R. Hoffmann, J. Hoogewerff, H. Hrvatovic, S. Husnjak, L. Janik, M. Kaminari, J. Kirby, V. Klos, F. Krone, P. Kwecko, L. Kuti, A. Ladenberger, A. Lima, J. Locutura, P. Lucivjansky, A. Mann, D. Mackovych, M. McLaughlin, B. I. Malyuk, R. Maquil, R. G. Meuli, G. Mol, P. Négrel, P. O'Connor, K. Oorts, R. T. Ottesen, A. Pasieczna, V. Petersell, S. Pfleiderer, M. Poňavič, C. Prazeres, U. Rauch, S. Radusinović, C. Reimann, I. Salpeteur, R. Scanlon, A. Schedl, A. Scheib, I. Schoeters, E. Sellersjö, I. Slaninka, J. M. Soriano-Disla, A. Šorša, R. Svrkota, T. Stafilov, T. Tarvainen, V. Trendavilov, P. Valera, V. Verougstraete, D. Vidojević and Z. Zomeni., Jordan, Gyozo, Petrik, Attila, De Vivo, Benedetto, Albanese, Stefano, Demetriades, Aleco, Sadeghi, Martiya, Andersson, M., Baritz, R., Batista, M. J., Bel-lan, A., Birke, M., Cicchella, D., De Vos, W., Dinelli, E., Ďuriš, M., Dusza-Dobek, A., Eggen, O. A., Eklund, M., Ernstsen, V., Filzmoser, P., Flight, D. M. A., Forrester, S., Fuchs, M., Fügedi, U., Gilucis, A., Gosar, M., Gregorauskiene, V., De Groot, W., Gulan, A., Halamić, J., Haslinger, E., Hayoz, P., Hoffmann, R., Hoogewerff, J., Hrvatovic, H., Husnjak, S., Janik, L., Kaminari, M., Kirby, J., Klos, V., Krone, F., Kwecko, P., Kuti, L., Ladenberger, A., Lima, A., Locutura, J., Lucivjansky, P., Mann, A., Mackovych, D., Mclaughlin, M., Malyuk, B. I., Maquil, R., Meuli, R. G., Mol, G., Négrel, P., O'Connor, P., Oorts, K., Ottesen, R. T., Pasieczna, A., Petersell, V., Pfleiderer, S., Poňavič, M., Prazeres, C., Rauch, U., Radusinović, S., Reimann, C., Salpeteur, I., Scanlon, R., Schedl, A., Scheib, A., Schoeters, I., Sellersjö, E., Slaninka, I., Soriano-Disla, J. M., Šorša, A., Svrkota, R., Stafilov, T., Tarvainen, T., Trendavilov, V., Valera, P., Verougstraete, V., D. Vidojević and Z. Zomeni., and The GEMAS Project Team: M. Andersson, R. Baritz, M.J. Batista, A. Bel-lan, M. Birke, D. Cicchella, W. De Vos, E. Dinelli, M.Ďuriš, A. Dusza-Dobek, O.A. Eggen, M. Eklund, V. Ernstsen, P. Filzmoser, D.M.A. Flight, S. Forrester, M. Fuchs, U. Fügedi, A. Gilucis, M. Gosar, V. Gregorauskiene, W. De Groot, A. Gulan, J. Halamić, E. Haslinger, P. Hayoz, R. Hoffmann, J.Hoogewerff, H. Hrvatovic, S. Husnjak, L. Janik, M. Kaminari, J. Kirby, V. Klos, F. Krone, P. Kwecko, L. Kuti, A. Ladenberger, A. Lima, J. Locutura, P. Lucivjansky, A. Mann, D. Mackovych, M. McLaughlin, B.I. Malyuk, R. Maquil, R.G. Meuli, G. Mol, P. Négrel, P. O'Connor, K. Oorts, R.T. Ottesen, A. Pasieczna, V. Petersell, S. Pfleiderer, M. Poňavič, C. Prazeres, U. Rauch, S. Radusinović, C. Reimann, I. Salpeteur, R. Scanlon, A. Schedl, A. Scheib, I. Schoeters, E. Sellersjö, I. Slaninka, J.M. Soriano-Disla, A. Šorša, R. Svrkota, T. Stafilov, T. Tarvainen, V.Trendavilov, P. Valera, V. Verougstraete, D. Vidojević and Z. Zomeni

Subjects
Outcrop, Lithology, Soil science, 010501 environmental sciences, 010502 geochemistry & geophysics, 01 natural sciences, Numerical differential calculation, Soil parent material, Geochemistry and Petrology, Ultramafic rock, Spatial pattern, Digital image processing, Lineament analysi, Univariate statistic, Common spatial pattern, Economic Geology, Economic geology, Scale (map), Geomorphology, Geology, Smoothing, 0105 earth and related environmental sciences
Abstract

This study demonstrates the use of digital image processing for the spatial pattern recognition and characterisation of Ni concentrations in topsoil in Europe. Moving average smoothing was applied to the TIN-interpolated grid model to suppress small irregularities. Digital image processing was applied then to the grid. Several NE-SW, E-W and NW-SE oriented features were revealed at the continental scale. The dominant NE-SW linear features follow the Variscan and Alpine orogenies. The highest variability zones are in the Alps and the Balkans where mafic and ultramafic rocks outcrop. A single major E-W oriented north-facing feature runs along the last continental glaciation zone. This zone also coincides with a series of local maxima in Ni concentration along the glaciofluvial deposits. The NW-SE elongated features are located in the Pyrenees, northern Italy, Hellas and Fennoscandia. This study demonstrates the advantages of digital image processing analysis in identifying and characterising spatial geochemical patterns unseen before on conventional colour-surface maps.

Published
2018

5. The availability of copper in soils historically amended with sewage sludge, manure, and compost

Author

I. Schoeters, Enzo Lombi, Mike J. McLaughlin, Erik Smolders, Koen Oorts, Sharyn Zrna, Yibing Ma, Smolders, E, Oorts, K, Lombi, Enzo, Schoeters, I, Ma, Y, Zrna, S, and Mclaughlin, M

Subjects
Environmental Engineering, Metal salts, salts, Sewage, chemistry.chemical_element, Management, Monitoring, Policy and Law, engineering.material, complex mixtures, Soil, field trial, amended soil, manures, natural sciences, Solubility, Waste Management and Disposal, organic amendment, Water Science and Technology, sewage sludge, Chemistry, Metal binding, Compost, business.industry, fungi, food and beverages, toxicity, Plants, Pollution, Manure, Copper, Agronomy, in control, Environmental chemistry, Soil water, engineering, Salts, business, metal binding sites
Abstract

Metals in soils amended with sewage sludge are typically less available compared with those in soils spiked with soluble metal salts. However, it is unclear if this difference remains in the long term. A survey of copper (Cu) availability was made in soils amended with sewage sludge, manure, and compost, collectively named organic amendments. Paired sets of amended and control soils were collected from 22 field trials where the organic amendments had aged up to 112 yr. Amended soils had higher total Cu concentrations (range, 2-220 mg Cu kg−1; median, 15 mg Cu kg−1) and organic C (range, 1-16 g kg−1; median, 4 g kg−1) than control soils. All samples were freshly spiked with CuCl2, and the toxicity of added Cu to barley was compared between amended and control soils. The toxicity of added Cu was significantly lower in amended soils than in control soil in 15 sets by, on average, a factor of 1.4, suggesting that aged amendments do not largely increase Cu binding sites. The fraction of added Cu that is isotopic exchangeable Cu (labile Cu) was compared between control soils freshly spiked with CuCl2 and amended soils with both soils at identical total Cu concentrations. Copper derived from amendments was significantly less labile (on average 5.9-fold) than freshly added Cu in 18 sets of soils. This study shows that Cu availability after long-term applications of organic amendments is lower than that of freshly added Cu2+ salts, mainly because of its lower availability in the original matrix and ageing reactions than because of increased metal binding sites in soil. Refereed/Peer-reviewed

Published
2012

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