Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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Naji, M.
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Siepak, Marcin

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (11/11 displayed)

  • 2024Self-stabilization of Zn, Pb, Cd, and As in smelter-impacted organic-rich soil: The effect of hydrous Fe oxides and ZnCd sulfide coprecipitationcitations
  • 2018Tracking heavy metal contamination in a complex river-oxbow lake system: Middle Odra Valley, Germany/Poland68citations
  • 2016Environmental factors affecting soil metals near outlet roads in Poznań, Poland: impact of grain size, soil depth, and wind dispersal15citations
  • 2013Effects of flooding on the contamination of floodplain sediments with available fractions of trace metals (western Poland)citations
  • 2013Assessment of Heavy Metal Concentration in Bottom Sediments of Stare Miasto Pre-dam Reservoir on the Powa Rivercitations
  • 2013Physico-chemical parameters determining the variability of actually and potentially available fractions of heavy metals in fluvial sediments of the middle Odra river6citations
  • 2010Heavy metals in fluvial sediments of the odra river flood plains - Introductory research12citations
  • 2009Distribution of heavy metals in the Mała Wełna River system (western Poland)18citations
  • 2009Vertical distribution of heavy metals in grain size fractions in sedimentary rocks: Mosina-Krajkowo water well field, Poland6citations
  • 2008Analysis of heavy metals in particular granulometric fractions of bottom sediments in the Mała Wełna River (Poland)citations
  • 2002Comparison of modifiers for determination of arsenic, antimony and selenium by atomic absorption spectrometry with atomization in graphite tube or hydride generation and in-situ preconcentration in graphite tube25citations

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Kubacki, Jerzy
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Smieja-Król, Beata
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Fiałkiewicz-Kozieł, Barbara
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Smieja, Agata
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Vaculovič, T.
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Siepak, Jerzy
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Niedzielski, Przemysław
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Co-Authors (by relevance)

  • Kubacki, Jerzy
  • Smieja-Król, Beata
  • Kądziołka-Gaweł, Mariola
  • Fiałkiewicz-Kozieł, Barbara
  • Smieja, Agata
  • Prokopowicz, Adam
  • Ciazela, Jakub
  • Wojtowicz, Piotr
  • Walna, Barbara
  • Ibragimow, Aleksandra
  • Sojka, Mariusz
  • Gnojska, Emilia
  • Głosińska, Grażyna
  • Frankowski, Marcin
  • Zioła-Frankowska, Anetta
  • Murat-Błałejewska, Sadłide
  • Vaculovič, T.
  • Siepak, Jerzy
  • Novotný, K.
  • Niedzielski, Przemysław
OrganizationsLocationPeople

article

Assessment of Heavy Metal Concentration in Bottom Sediments of Stare Miasto Pre-dam Reservoir on the Powa River

  • Siepak, Marcin
  • Sojka, Mariusz
  • Gnojska, Emilia
Abstract

<p>The aim of this study was the assessment of spatial variability of heavy metals concentration in the Stare Miasto pre-dam reservoir on the Powa river. Sediment samples from 16 locations were collected and analyzed for the trace metal contents (Cr, Ni, Cu, Zn, Cd and Pb), organic carbon and grain size. The variability of heavy metal concentration in bottom sediments was assessed by multivariate statistical methods like cluster analysis (CA), factor analysis (FA) and principal components analysis (PCA). They made it possible to observe similarities and differences in trace metal content in samples taken from specific locations, to identify indicators suitable for characterizing its spatial variability and to uncover hidden factors accounting for the structure of the data. Data of the grain size indicated that sandy sediments dominated in the initial part of the pre-dam reservoir were the Powa river inflow. The mean concentrations of Zn 3.38 - 21.3 mg·kg<sup>-1</sup> was the highest followed by Pb and Ni, 0.47 - 4.96 mg·kg<sup>-1</sup> and 0.96 - 5.25 mg·kg<sup>-1</sup> respectively, relative to other metals. The concentrations of Cu was 1.03 - 2.88 mg·kg<sup>-1</sup> while Cd and Cr were the least 0.02 - 0.80 mg·kg<sup>-1</sup> and 0.06 do 0.74 mg·kg<sup>-1</sup> respectively. Cluster analysis CA of heavy metals content in bottom sediments of the reservoir showed that 16 samples of sediments can be divided into two groups characterized by different content of heavy metals. The analysis showed that the content of Cd, Pb, Ni, Cr and Zn were associated with content of clay and organic matter, depth of sampling and the sampling distance from the inflow point of the river. The concentration of the copper was associated with sampling distance from inflow and out flow point and the content of the silt.</p>

Topics
  • cluster
  • Carbon
  • grain
  • grain size
  • copper