4.7 Article

Spatial and geochemical aspects of heavy metal distribution in lacustrine sediments, using the example of Lake Wigry (Poland)

期刊

CHEMOSPHERE
卷 240, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.chemosphere.2019.124879

关键词

Sediment contaminants; Metallic pollutants; Trace elements; Environmental Risk Assessment; Spatial analysis; Geostatistics

资金

  1. Faculty of Geology, Geophysics and Environmental Protection at the AGH University of Science and Technology in Cracow, Poland [16.16.140.315]

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Heavy metals which pollute aquatic environments typically bond with bottom sediments and the analysis of the spatial distribution of metals allows to assess the geochemical purity of deposits and to identify the potential pollution sources. Research carried out on the Wigry Lake involved the collection of almost 500 samples of sediments, and the specification of the depth of their residence (0.2-71.4 m) as well as the level of concentration of three metals: Fe (80.3-32 857 mg kg(-1)), Mn (17.8-1698 mg kg(-1)) and Zn (3.14-632 mg kg(-1)). The geochemical and bathymetric data was interpolated using geostatistical methods and mapped with the consideration of 5 types of sediments: lacustrine chalk, carbonate gyttja, fluvial-lacustrine sediment, organic gyttja and clastic sediment. As a result, a significant increase in the concentration of metals was revealed in deeper zones, at a considerable distance from the lake shore, wherein the respective values of correlation coefficients were as follows: depth Mn 0.77; depth Fe 0.60; depth Zn 0.58. A strong dependency between the concentration of analysed metals and the type of sediment, attributed to the granular and chemical composition of sediments, was also revealed. Correlations between individual metallic pairs (Fe-Mn 0.77; Fe-Zn 0.80; Mn-Zn 0.75) indicated that similar factors influence spatial distribution of metals in sediments. The implementation of 3 different geochemical backgrounds allowed to conclude that the Wigry Lake is slightly polluted with the analysed metals, and that the origin of Mn is mainly natural, while in the case of Fe and Zn anthropogenic influence can also be identified. (C) 2019 Elsevier Ltd. All rights reserved.

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