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Comparison of selected methods used in the assessment of contamination with heavy metals in littoral sediments of lakes Cover

Comparison of selected methods used in the assessment of contamination with heavy metals in littoral sediments of lakes

Open Access
|Dec 2016

Figures & Tables

Figure 1

Location of the studied lakes: 1. Biała Kuta, 2. Krzywa Kuta, 3. Kacze, 4. Smolak, 5. Łękuk, 6. Wolisko, 7. Pilwąg, 8. Szwałk Wielki, 9. Ciche, 10. Szwałk Mały, 11. Łaźno, 12. Litygajno, 13. Dubinek

Table 1

Morphometric parameters of Borecka Forest lakes

LakeCatchmentNatura 2000 Code*AreaHeightVolumeAverage depthMax. depthDepth factorShoreline depthShoreline developmentLake lengthAverage widthElongation factor
[ha][m a.s.l.][Mm3][m][m][m][m][m]
Biala KutaPregola314021.3134.3318.21.43.20.4427001.651200177.56.76
Krzywa Kuta3150131.2134.47883.16.026.50.2385502.112250583.13.86
Kacze31601.8134.35.10.30.80.384901.04171103.01.66
Smolak31607.0135.3125.91.75.10.3311901.27500140.03.57
Łękuk315020.7127.4957.44.612.50.3719001.18675306.72.20
WoliskoVistula315013.5175.9620.24.68.60.5317801.37588229.62.56
Pilwag3150135.1133.32025.31.53.60.4279401.932320582.33.98
Szwalk Wielki3150213.4133.410505.84.9110.4593501.813800561.66.77
Ciche315015.0141.9330.02.24.50.4925601.86689217.73.16
Szwalk Maly315070.4133.63016.84.36.70.6449001.651485474.13.13
Łaźno3150562.4133.232017.95.7180.32178252.126200907.16.83
Litygajno3150162.1133.19763.96.016.40.37106752.374700344.913.63
Dubinek314012.1151.4310.12.56.20.4016601.35638189.73.36

* shallow lakes (3140), eutrophic lakes (3150), dystrophic lakes (3160)

Table 2

The land use in the direct catchments of the analyzed lakes

LakeAgricultural land (%)Wasteland (%)Building (%)Forest (%)
Biala Kuta2.697.4
Krzywa Kuta17.81.82.677.8
Kacze100.0
Smolak4.495.6
Łękuk68.73.74.523.1
Wolisko19.65.52.772.3
Pilwąg5.21.10.593.2
Szwałk Wielki20.62.81.175.4
Ciche2.797.3
Szwałk Mały38.89.61.250.4
Łaźno40.712.25.441.7
Litygajno15.912.52.269.4
Dubinek100.0
Table 3

Heavy metals in sediments arranged in order from the highest to the lowest concentration for a given metal

LakeOrder of heavy metals
Biała KutaZn < Cu < Pb < Ni < Cd
Krzywa KutaZn < Cu < Pb < Ni < Cd
KaczeZn < Pb < Cu < Ni = Cd
SmolakZn < Cu < Pb < Ni < Cd
ŁękukZn < Pb < Cu < Ni < Cd
WoliskoZn < Cu < Pb < Ni < Cd
PilwągZn < Cu < Pb < Ni < Cd
Szwałk WielkiZn < Cu < Pb < Ni < Cd
CicheZn < Pb < Cu < Ni < Cd
Szwałk MałyZn < Cu < Pb < Ni < Cd
ŁaźnoCu < Zn < Pb < Ni < Cd
LitygajnoZn < Pb < Cu < Ni < Cd
DubinekZn < Cu < Ni < Pb < Cd
Table 4

The average content of heavy metals, total carbon (TC), total organic carbon (TOC), total inorganic carbon (TIC) in littoral sediments in lakes of Borecka Forest

LakeZnCuPbNiCdTOCTICTC
(mg kg−1)g C kg−1
Biała Kuta6.506.223.831.090.0516.000.1116.11
Krzywa Kuta3.412.011.060.720.106.010.036.04
Kacze42.3515.6026.770.640.64494.460.22494.68
Smolak11.315.622.890.050.0544.580.1244.71
Łękuk12.655.566.032.320.107.203.6510.86
Wolisko22.464.062.191.930.106.309.1715.46
Pilwąg19.7810.612.881.640.1541.967.1649.12
Szwałk Wielki5.803.701.290.850.1412.170.0312.20
Ciche8.962.722.761.910.198.570.118.67
Szwałk Mały0.622.550.891.351.2515.560.0415.60
Łaźno3.466.311.901.430.149.7915.1124.90
Litygajno8.063.544.081.820.1022.950.7423.69
Dubinek27.314.36.5712.10.0550.3010.4260.72
Average13.286.374.882.180.2356.603.6160.21
Min.0.622.010.890.500.056.010.036.04
Max.42.3515.6026.7712.101.25494.4615.11494.68
SD±11.81±4.42±6.82±3.03±0.34±132.47±5.14±131.65
V112.44144.0371.5471.7468.7642.7370.1945.74
GBP7371550.5
GBE673917680.1

SD – standard deviation; V – variability index [%]; GBP – geochemical background for Poland, GBE – geochemical background for the Earth’s crust.

Table 5

Geochemical criteria of sediment pollution assessment (Bojakowska 2001)

MetalClasses of sediment pollution
0IIIIIIIV
geochemical backgroundunpollutedmoderately pollutedpollutedstrongly polluted
(mg kg−1)
Zinc (Zn)732005001000>1000
Copper (Cu)740100200>200
Lead (Pb)1530100200>200
Nickel (Ni)5164050>50
Cadmium (Cd)<0.513.56>6
Table 6

Heavy metal pollution of littoral sediments from lakes in Borecka Forest

LakeZnCuPbNiCdSediment evaluation
Sediment purity classes
Biała Kuta00000geochemical background
KrzywaKuta00000geochemical background
Kacze0II0Iunpolluted
Smolak00000geochemical background
Łękuk00000geochemical background
Wolisko00000geochemical background
Pilwąg0I000unpolluted
Szwałk Wielki00000geochemical background
Ciche00000geochemical background
SzwalkMaly0000IImoderately polluted
Łaźno00000geochemical background
Litygajno00000geochemical background
Dubinek0I0I0unpolluted
Table 7

Ecotoxicological assessment of sediments in rivers and lakes (Macdonald 1994, CCME 1999)

MetalTELPEL
(mg kg–1)
Zn123315
Cu36197
Pb3591
Ni1642
Cd0.63.5
Table 8

Values of geoaccumulation indices (Igeo) of heavy metals in littoral sediments from lakes in Borecka Forest

LakeBackgroundIgeo-ZnIgeo-CuIgeo-PbIgeo-NiIgeo-Cd
Biała KutaGBP−4.07−0.76−2.55−2.78−4.00
GBE−3.95−3.23−2.74−5.05−1.67
KrzywaKutaGBP−5.01−2.39−4.41−3.38−2.97
GBE−4.88−4.86−4.59−7.15−0.64
KaczeGBP−1.370.57*0.25*−3.55−0.23
GBE−1.25−1.910.07*−7.312.10***
SmolakGBP−3.28−0.90−2.96−3.91−3.91
GBE−3.15−3.38−3.14−7.67−1.58
ŁękukGBP−3.11−0.92−1.84−1.69−2.95
GBE−2.99−3.40−2.02−5.46−0.63
WoliskoGBP−2.29−1.37−3.36−1.96−2.92
GBE−2.16−3.85−3.54−5.72−0.60
PilwągGBP−2.470.02*−2.97−2.19−2.33
GBE−2.35−2.46−3.15−5.96−0.01
Szwałk WielkiGBP−4.24−1.50−4.12−3.14−2.40
GBE−4.11−3.98−4.31−6.91−0.08
CicheGBP−3.61−1.95−3.03−1.97−1.97
GBE−3.49−4.43−3.21−5.740.35*
SzwalkMalyGBP−7.46−2.04−4.66−2.470.74*
GBE−7.34−4.52−4.84−6.243.06****
ŁaźnoGBP−4.98−0.73−3.57−2.39−2.39
GBE−4.86−3.21−3.75−6.16−0.07
LitygajnoGBP−3.76−1.57−2.46−2.04−2.94
GBE−3.64−4.05−2.64−5.81−0.61
DubinekGBP−2.000.45*−1.780.69*−3.91
GBE−1.88−2.03−1.96−3.08−1.58

* - unpolluted to moderately polluted sediments (class I);

* - unpolluted to moderately polluted sediments (class I);

* - unpolluted to moderately polluted sediments (class I);

*** - moderately to strongly polluted sediments (class III);

* - unpolluted to moderately polluted sediments (class I);

* - unpolluted to moderately polluted sediments (class I);

* - unpolluted to moderately polluted sediments (class I);

**** - strongly polluted sediments (class IV)

* - unpolluted to moderately polluted sediments (class I);

* - unpolluted to moderately polluted sediments (class I);

Table 9

Contamination factors (CF), the percentage of each metal in the total sediment contamination (%CF) with heavy metals in littoral sediments and the degree of sediment contamination (Cd)

LakeBackgroundCF (Zn)%CF (Zn)CF (Cu)%CF (Cu)CF (Pb)%CF (Pb)CF (Ni)%CF (Ni)CF (Cd)%CF (Cd)?CFCd
Biała KutaGBP0.095.80.8957.50.2616.50.2214.10.096.11.540.31
GBE0.1010.00.1616.50.2323.30.021.70.4748.60.970.19
Krzywa KutaGBP0.056.30.2938.80.079.50.1419.50.1925.90.740.15
GBE0.054.50.054.50.065.50.010.90.9684.61.140.23
KaczeGBP0.589.72.23*37.11.78*29.70.132.11.28*21.46.001.20
GBE0.637.00.404.41.57*17.40.010.16.41****71.09.031.812)
SmolakGBP0.1511.50.8059.50.1914.30.107.40.107.41.350.27
GBE0.1717.00.1414.60.1717.20.010.70.5050.50.990.20
ŁękukGBP0.178.50.7938.80.4220.50.4622.70.199.52.050.41
GBE0.1911.10.148.40.3721.70.032.00.9756.91.710.34
WoliskoGBP0.3119.00.5835.90.159.00.3923.90.2012.21.620.32
GBE0.3421.10.106.60.138.10.031.80.9962.41.590.32
PilwągGBP0.2710.41.52*58.20.197.40.3312.60.3011.42.600.52
GBE0.3013.10.2712.10.177.50.021.11.49*66.22.250.45
Szwałk WielkiGBP0.086.90.5346.00.097.50.1714.80.2824.71.150.23
GBE0.095.10.095.60.084.50.010.71.42*84.01.690.34
CicheGBP0.128.40.3926.60.1812.60.3826.20.3826.21.460.29
GBE0.135.80.073.00.167.00.031.21.91*82.92.300.46
Szwałk MałyGBP0.010.30.3611.40.061.90.278.42.50*78.13.200.64
GBE0.010.10.070.50.050.40.020.212.49****98.812.642.533)
ŁaźnoGBP0.052.90.9054.70.137.70.2917.40.2917.41.650.33
GBE0.052.90.169.10.116.30.021.21.43*80.51.780.36
LitygajnoGBP0.117.60.5134.90.2718.80.3625.10.2013.51.450.29
GBE0.128.30.096.20.2416.50.031.80.9867.21.460.29
DubinekGBP0.377.02.04*38.00.448.12.42*45.00.101.95.371.07
GBE0.4122.20.3719.90.3921.00.189.70.5027.21.840.37

* – moderate contamination level;

* – moderate contamination level;

* – moderate contamination level;

* – moderate contamination level;

**** – very high contamination level;

2) – low contamination level;

* – moderate contamination level;

* – moderate contamination level;

* – moderate contamination level;

* – moderate contamination level;

* – moderate contamination level;

**** – very high contamination level;

3) – moderate contamination level

* – moderate contamination level;

* – moderate contamination level;

* – moderate contamination level;

Figure 2

The percentage of individual forms of carbon in the littoral sediments in lakes of Borecka Forest

Table 10

Values of Pearson’s correlation coefficients between heavy metals, TOC and TIC in sediments

ZnCuPbNiCdTOCTIC
Zn1
Cu***0.851
Pb***0.82**0.731
Ni0.340.490.031
Cd0.000.000.24−0.181
TOC**0.78**0.69***0.97−0.090.341
TIC0.170.32−0.140.46−0.27−0.181

*** significant at p<0.01 and 0.05, respectively

*** significant at p<0.01 and 0.05, respectively

** significant at p<0.01 and 0.05, respectively

** significant at p<0.01 and 0.05, respectively

** significant at p<0.01 and 0.05, respectively

*** significant at p<0.01 and 0.05, respectively

DOI: https://doi.org/10.1515/ohs-2016-0042 | Journal eISSN: 1897-3191 | Journal ISSN: 1730-413X
Language: English
Page range: 493 - 504
Submitted on: Jan 26, 2016
Accepted on: Mar 23, 2016
Published on: Dec 14, 2016
Published by: University of Gdańsk
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2016 Julita A. Dunalska, Zygmunt M. Gusiatin, Rafał Zieliński, Daniel Szymański, Justyna Sieńska, published by University of Gdańsk
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.