2016
DOI: 10.17221/118/2015-swr
|View full text |Cite
|
Sign up to set email alerts
|

Contamination characteristics of the confluence of polluted and unpolluted rivers - range and spatial distribution of contaminants of a significant mining centre (Kutná Hora, Czech Republic)

Abstract: Horák J., Hejcman M. (2016): Contamination characteristics of the confluence of polluted and unpolluted riversrange and spatial distribution of contaminants of a significant mining centre (Kutná Hora, Czech Republic). Soil & Water Res., 11: 235−243.The study brings new insights into the topic of the contamination characteristics of the mining region of Kutná Hora (Central Bohemia). The previous meta-analysis of the contamination studies showed that there could be a surprisingly low spatial range of contaminate… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
4
0

Year Published

2017
2017
2023
2023

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 7 publications
(4 citation statements)
references
References 35 publications
0
4
0
Order By: Relevance
“…The Kernel interpolated relative weights of these congeners helped to identify hotspots along the coast and the sum of selected congeners that were total normalized and CLR transformed was used (Figure 4). Previously, CLR transformed data were employed to identify hotspots of underlying compositional contaminants in terrestrial soils and river sediments of nearby mining sites (Horák & Hejcman, 2016; Neiva et al, 2019).…”
Section: Resultsmentioning
confidence: 99%
“…The Kernel interpolated relative weights of these congeners helped to identify hotspots along the coast and the sum of selected congeners that were total normalized and CLR transformed was used (Figure 4). Previously, CLR transformed data were employed to identify hotspots of underlying compositional contaminants in terrestrial soils and river sediments of nearby mining sites (Horák & Hejcman, 2016; Neiva et al, 2019).…”
Section: Resultsmentioning
confidence: 99%
“…The main metal-bearing minerals are native Ag and high-quality ores with minerals such as tetrahedrite, freibergite, argentite, proustite, pyrargyrite, galenite, and sulphides of Fe, Zn, As, Cu, Pb. Because of long-term mining and smelting activities, the soils of the model area are strongly contaminated, mainly by As and Cd, and a high concentration of Hg may or may not be connected with the mining process (Horák & Hejcman 2013, 2016a, 2016b.…”
Section: Study Areamentioning
confidence: 99%
“…There are many studies focusing on multi-element analyses bringing similar results (Bindler et al 2011;Bing et al 2011;Costa 2011;Davidson et al 2007;Entwistle et al 1998Entwistle et al , 2000Facchinelli et al 2001;Horák, Hejcman 2016a;2016b;Sollito et al 2010;Walkington 2010;Wilson et al 2009). It was also shown that it is highly suitable to work more with the multivariate analyses results rather than with the original concentrations, or the transformed concentrations, i.e.…”
Section: Comparison With Other Studiesmentioning
confidence: 99%