Search

Your search keyword '"Sefcik, P."' showing total 3 results
Start Over Author "Sefcik, P." Language undetermined
3 results on '"Sefcik, P."'

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
Full Text
View/download PDF

2. 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

3. GEMAS: Geochemical background and mineral potential of emerging tech-critical elements in Europe revealed from low-sampling density geochemical mapping

Author

M. Fuchs, P. Kwecko, E. Haslinger, P. O'Connor, R. G. Meuli, F. Skopljak, P. Hayoz, Z. Zomeni, P. Sefcik, W. De Groot, G. Mol, U. Rauch, M. Andersson, Trajče Stafilov, R. Srvkota, V. Klos, S. Pfleiderer, D. Vidojević, Paolo Valera, Josip Halamić, Stefano Albanese, R. Hoffmann, F. Krone, Belinda Flem, Anna Pasieczna, A. Gilucis, Alecos Demetriades, Peter Filzmoser, Annamaria Lima, I. Slaninka, D. P. Lucivjansky, S. Forrester, R. K. Oorts, D. Mackovych, M. Eklund, V. Gregorauskiene, Mateja Gosar, V. Verougstraete, L. Janik, Timo Tarvainen, S. Radusinović, U. Fugedi, M. Poňavič, Anna Ladenberger, W. De Vos, I. Schoeters, Jurian Hoogewerff, Clemens Reimann, M. Ďuriš, Philippe Négrel, E. Sellersjö, Martiya Sadeghi, W. Petersell, O. A. Eggen, Andreas Scheib, R. Maquil, A. Schedl, Jörg Matschullat, B. I. Malyuk, Domenico Cicchella, A. Mann, Ajka Šorša, J. Kivisilla, Manfred Birke, L. Kuti, Enrico Dinelli, R. Scanlon, C. Prazeres, Andreas M. Zissimos, V. Trendavilov, A. Bel-lan, Dee Flight, A. Dusza-Dobek, H. Hrvatovic, I. Salpeteur, Jason K. Kirby, S. Pramuka, Mike J. McLaughlin, M. Kaminari, Rolf Tore Ottesen, J. Locutura, A. Gulan, V. Ernstsen, G. Jordan, Maria João Batista, B. De Vivo, Stjepan Husnjak, Rainer Baritz, Bureau de Recherches Géologiques et Minières (BRGM) (BRGM), Geological Survey of Sweden, sgu, Geological Survey of Norway (NGU), Geological Survey of Norway, Federal Institute for Geosciences and Natural Resources (BGR), Institute of Geology and Mineral Exploration (IGME), IGME, Negrel, P., Ladenberger, A., Reimann, C., Birke, M., Demetriades, A., Sadeghi, M., Albanese, S., Andersson, M., Baritz, R., Batista, M. J., Flem, B., Bel-lan, A., Cicchella, D., De Vivo, B., De Vos, W., Dinelli, E., Duris, M., Dusza-Dobek, A., Eggen, O. A., Eklund, M., Ernstsen, V., Filzmoser, P., Flight, D. M. A., Forrester, S., Fuchs, M., Fugedi, U., Gilucis, A., Gosar, M., Gregorauskiene, V., De Groot, W., Gulan, A., Halamic, J., Haslinger, E., Hayoz, P., Hoffmann, R., Hoogewerff, J., Hrvatovic, H., Husnjak, S., Janik, L., Jordan, G., Kaminari, M., Kirby, J., Kivisilla, J., Klos, V., Krone, F., Kwecko, P., Kuti, L., Lima, A., Locutura, J., Lucivjansky, D. P., Mann, A., Mackovych, D., Matschullat, J., Mclaughlin, M., Malyuk, B. I., Maquil, R., Meuli, R. G., Mol, G., O'Connor, P., Oorts, R. K., Ottesen, R. T., Pasieczna, A., Petersell, W., Pfleiderer, S., Ponavic, M., Pramuka, S., Prazeres, C., Rauch, U., Radusinovic, S., Salpeteur, I., Scanlon, R., Schedl, A., Scheib, A. J., Schoeters, I., Sefcik, P., Sellersjo, E., Skopljak, F., Slaninka, I., Sorsa, A., Srvkota, R., Stafilov, T., Tarvainen, T., Trendavilov, V., Valera, P., Verougstraete, V., Vidojevic, D., Zissimos, A., Zomeni, Z., Negrel P., Ladenberger A., Reimann C., Birke M., Demetriades A., Sadeghi M., Albanese S., Andersson M., Baritz R., Batista M.J., Flem B., Bel-lan A., Cicchella D., De Vivo B., De Vos W., Dinelli E., Duris M., Dusza-Dobek A., Eggen O.A., Eklund M., Ernstsen V., Filzmoser P., Flight D.M.A., Forrester S., Fuchs M., Fugedi U., Gilucis A., Gosar M., Gregorauskiene V., De Groot W., Gulan A., Halamic J., Haslinger E., Hayoz P., Hoffmann R., Hoogewerff J., Hrvatovic H., Husnjak S., Janik L., Jordan G., Kaminari M., Kirby J., Kivisilla J., Klos V., Krone F., Kwecko P., Kuti L., Lima A., Locutura J., Lucivjansky D.P., Mann A., Mackovych D., Matschullat J., McLaughlin M., Malyuk B.I., Maquil R., Meuli R.G., Mol G., O'Connor P., Oorts R.K., Ottesen R.T., Pasieczna A., Petersell W., Pfleiderer S., Ponavic M., Pramuka S., Prazeres C., Rauch U., Radusinovic S., Salpeteur I., Scanlon R., Schedl A., Scheib A.J., Schoeters I., Sefcik P., Sellersjo E., Skopljak F., Slaninka I., Sorsa A., Srvkota R., Stafilov T., Tarvainen T., Trendavilov V., Valera P., Verougstraete V., Vidojevic D., Zissimos A., and Zomeni Z.

Subjects
Antimony, Soil test, Weathering, Earth science, Sorting (sediment), Lithium, 010501 environmental sciences, 010502 geochemistry & geophysics, Spatial distribution, Agricultural soil, 01 natural sciences, Tungsten, Geochemistry and Petrology, Environmental Chemistry, ComputingMilieux_MISCELLANEOUS, 0105 earth and related environmental sciences, geography, geography.geographical_feature_category, Bedrock, 15. Life on land, Platinum group, Pollution, Weathering, Geochemistry, Critical elements, Geochemistry, [SDU]Sciences of the Universe [physics], 13. Climate action, [SDE]Environmental Sciences, Leaching (pedology), Spatial ecology, Environmental science, Critical element
Abstract

The demand for ‘high-tech’ element resources (e.g., rare earth elements, lithium, platinum group elements) has increased with their continued consumption in developed countries and the emergence of developing economies. To provide a sound knowledge base for future generations, it is necessary to identify the spatial distribution of critical elements at a broad-scale, and to delineate areas for follow-up surveys. Subsequently, this knowledge can be used to study possible environmental consequences of the increased use of these resources. In this paper, three critical industrial elements (Sb, W, Li) from low-sampling density geochemical mapping at the continental-scale are presented. The geochemical distribution and spatial patterns have been obtained from agricultural soil samples (Ap-horizon, 0–20 cm; N = 2108 samples) collected at a density of 1 site per 2500 km2 and analysed by ICP-MS after a hot aqua regia digestion as part of the GEMAS (GEochemical Mapping of Agricultural and grazing land Soil) soil-mapping project in 33 European countries. Most of the geochemical maps show exclusively natural background element concentrations with minor, or without, anthropogenic influence. The maximum extent of the last glaciation is marked as a discrete element concentration break, and a distinct difference occurs in element concentration levels between the soil of northern and southern Europe, most likely an effect of soil genesis, age and weathering. The Sb, W and Li concentrations in soil provide a general overview of element spatial distribution in relation to complexity of the underlying bedrock and element mobility in the surface environment at the continental-scale. The chemical composition of agricultural soil represents largely the primary mineralogy of the source bedrock, the effects of pre- and post-depositional chemical weathering, formation of secondary products, such as clays, and element mobility, either by leaching or mineral sorting. Observed geochemical patterns of Li, W and Sb can be often linked with known mineralisation as recorded in the ProMine Mineral Database, where elements in question occur either as main or secondary resources. Anthropogenic impact has only been identified locally, predominantly in the vicinity of large urban agglomerations. Unexplained high element concentrations may potentially indicate new sources for high-tech elements and should be investigated at a more detailed scale.

Published
2019
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results