Assessment of elemental contamination in the bottom sediments from a dam reservoir using a sequential extraction technique and chemometric analysis
PBN-AR
Instytucja
Wydział Matematyki, Fizyki i Chemii (Uniwersytet Śląski w Katowicach)
Informacje podstawowe
Główny język publikacji
EN
Czasopismo
Central European Journal of Chemistry
ISSN
1895-1066
EISSN
1644-3624
Wydawca
VERSITA
DOI
URL
Rok publikacji
2013
Numer zeszytu
12
Strony od-do
1981-1995
Numer tomu
11
Identyfikator DOI
Liczba arkuszy
0,7
Słowa kluczowe
EN
Cluster analysis
Heavy metals
Modified Tessier sequential extraction
Principal component analysis
Sediments
Streszczenia
Język
EN
Treść
The concentration of elements in sediments is an important aspect of the quality of water ecosystems. The element concentrations in bottom sediments from Goczalkowice Reservoir, Poland, were investigated to determine the levels, accumulation and distribution of elements; to understand the contamination and potential toxicity of elements; and to trace the possible source of pollution. Sediments were collected from 8 sampling points. The functional speciation, mobility and bioavailability of elements were evaluated by means of modified Tessier sequential extraction. The element contents were measured by optical emission spectrometry with inductively coupled plasma. The experimental results were analyzed using chemometric methods such as principal component analysis and cluster analysis to elucidate the metal distributions, correlations and associations. The highest concentrations of most elements were found at the center of the reservoir. The distribution of metals in the individual fractions was varied. To assess the extent of anthropogenic impact indices, contamination factor, degree of contamination, metal pollution index and risk assessment code were applied. The calculated factors showed the highest contamination factor and the ability of chromium to be released from sediments. The degree of contamination showed that the area is characterized by a very high contamination. Strontium and manganese showed high potential ecological risk for sediments.
Inne
System-identifier
0192400099531
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