Correlation assessment and monitoring of the potential pollutants in the surface sediments of Pyeongchang River, Korea

Kabir, Md. Imran; Lee, Hosik; Kim, Geonha; Jun, Tae-Sung

doi:10.1016/s1001-6279(11)60083-8

Cited by 37 publications

(18 citation statements)

References 33 publications

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“…The constant 1.5 is the background matrix correction factor due to lithogenics. The classification of geo-accumulation index [53] indicates: class 0 (Igeo≤0) unpolluted, class 1 (0<Igeo<1) uncontaminated to moderately contaminated, class 2 (1<Igeo<2) moderately contaminated, class 3 (2<Igeo<3) moderately to strongly polluted, class 4 (3<Igeo<4) strongly polluted, class 5 (4<Igeo<5) strongly to extremely polluted, and class 6 (5>Igeo) extremely polluted. Very strong contamination Table 3.…”

Section: Geo-accumulation Index (Igeo)mentioning

confidence: 99%

Heavy Metals Contamination and Ecological Risk Assessment in Surface Sediments of Namal Lake, Pakistan

Javed¹,

Ahmad²,

Mashiatullah³

2018

Pol. J. Environ. Stud.

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Heavy metals pollution is a worldwide problem that has grown during the past few decades because of their toxicity, extensive sources, non-biodegradable characteristics, and accumulative behaviors in aquatic environments [1][2][3]. These metals are identified as a significant indicator for degradation of aquatic environments. Enormous quantities of metals are being released into the environment both from anthropogenicrelated processes and natural sources through direct discharge into water or indirectly through stormwater runoff, domestic effluents, fossil fuel combustion, and atmospheric depositions [4]. Heavy metals ultimately Pol. J. Environ. Stud. Vol. 27, No. 2 (2018), 675-688 Original Research Heavy Metals Contamination and Ecological Risk AbstractHeavy metal concentrations were determined using inductively coupled plasma-optical emission spectrometry (ICP-OES) in surface sediments of Namal Lake, Pakistan. The metals content in sediment varied significantly and were in the order of Al>Fe>Mn>V>Zn>Cr>Ni>Cu>As>Co>Pb>Cd. Except for Al, the average concentrations of metals were higher than the average value of the upper continental crust (UCC). The significant positive correlations among heavy metals (p<0.01) suggested that these metals originated from the same sources. The pollution indices indicated severe contamination of sediments with As, Cd, and Ni. The sediment quality guidelines (SQGs) revealed that 19.2% of As, 11.5% of Cr, and 88.5% of Ni from all the sampling sites exceeded the probable effect level (PEL). The computed average risk index (RI) of single elements were in the following order Cd(411.9)>As(69.0)>Ni(15.4)>Cu(10.0)>Cr(4.3)> Pb(3.66)>Zn(1.7). Principle component analysis (PCA) extracted three components explaining (76.136%) of total variance of chemical data and were highly to moderately loaded with Fe, Mn, Co, Cu, Zn, Al, As, Cd, Ni, V, Cr, TOC, pH, CaCO 3 , and Pb in three principal components (PCs). The results obtained from cluster analysis, correlation of heavy metals, and principal component analysis suggested the origin of metals from both anthropogenic and natural sources.

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Section: Geo-accumulation Index (Igeo)mentioning

confidence: 99%

Heavy Metals Contamination and Ecological Risk Assessment in Surface Sediments of Namal Lake, Pakistan

Javed¹,

Ahmad²,

Mashiatullah³

2018

Pol. J. Environ. Stud.

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“…Its advantage is that it offers the possibility of assessing sediment contamination in various sedimentary environments. In the case of aquatic ecosystems, this index is commonly used for marine (Özkan 2012;Attia and Ghrefat 2013;Ong et al 2013), fluvial (Bojakowska and Sokołowska 1998;Ghrefat and Yusuf 2006;Nikolaidis et al 2010;Kabir et al 2011;Rabee et al 2011;Rubin et al 2011;Varol and Sen 2012;Yahaya et al 2012;Kalender and Uçar 2013), lake (Zeng and Wu 2009;Choiński et al 2010;Bing et al 2011;Hu et al 2011;Cáceres Choque et al 2013;Alikaj et al 2014; El- Sayed et al 2015;Gao et al 2015;Guo et al 2015) and reservoir sediments (Loska and Wiechuła 2003;Saleem et al 2012;Young et al 2012;Bąk et al 2013;Goher et al 2014;Tang et al 2014;Wang et al 2014;Palma et al 2015) as well as in marshes and peats (Bai et al 2012) in various climatic zones. Modern applications of the I geo are also varied; even for the algorithm for calculating, it takes different forms.…”

Section: Methodsmentioning

confidence: 99%

Cadmium contamination of sediments in the water reservoirs in Silesian Upland (southern Poland)

Rzętała

2016

J Soils Sediments

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Purpose Cadmium (Cd) is considered a toxic element and its concentrations are relevant to human health and the environment. Therefore, the purpose of the study was to determine the extent to which the bottom sediments of water bodies (artificial lakes and ponds) in the Silesian Upland in southern Poland are contaminated with Cd; an attempt was also made to determine the factors that condition spatial differences in the concentration of this element between individual water bodies in the region. Materials and methods Measurements of the Cd content in bottom sediments were carried out in 35 water bodies in southern Poland in 2011 and 2012. Depending on the surface area and morphometric characteristics, from two to nine samples representative in terms of sediment thickness were collected in each water body. Cadmium concentrations were determined for 92 0.25 g aliquots using the TD-ICP method. Results and discussion Cadmium content in all samples (0.7-580.0 mg kg ) and, with a few exceptions, was also higher than the preindustrial concentration (1.0 mg kg ) as the baseline for the geoaccumulation index (I geo ), the sediments examined can be classified as extremely and heavily contaminated (and moderately contaminated in a small number of cases). The assessment of sediment quality based on I geo, with the regional geochemical background (2.5 mg kg −1 ) adopted as the baseline, results in non-contaminated and moderately contaminated sediments being dominant with a far smaller number of heavily and extremely contaminated ones. Conclusions In the case of several water bodies, Cd concentrations were at record levels that have not been found anywhere else in the world. On the basis of the I geo , sediments of varying quality were found-from virtually uncontaminated to extremely contaminated. The I geo index as an indicator of the quality of bottom sediments is a measure that requires careful interpretation, especially when different concentration levels regarded as natural are used for determining its value.

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“…P index 는 위에서 나타낸 세 가지 지수(PLI, ERI, I geo )를 이용하여 지역별 또는 정점별 우선순위를 매겨 저서생태계 위해도를 평가하 는 방법으로 다음과 같이 계산한다 (Kabir et al, 2011). o C for 1 h, then remove the cover and reduced the volume to less then 3 mL by further heating -another 5 mL 8.8 M H 2 O 2 , one more time as described above -25 mL 1.0 M NH 4 OA C , pH 2, shaking at 22±5 o C for 16 h 4* Residual Metals bound in lithogenic mineral -HNO 3 :HF:HClO 4 :HCl=6:4:1:2 *Although not part of extraction procedure, the addition of residual step is useful for quality control, since sum of step 1-4 can be compared with results of a separate total acid digestion.…”

Section: 미량금속의 오염도 및 위해도 평가mentioning

confidence: 99%

“…선철인 · 이영주 · 안정현 · 이용우 factor (EF), geo-accumulation index (I geo ), metal pollution index (MPI), pollution load index (PLI), ecological risk index (ERI), priority index (P index ), ERL/ERM 등이 있다 (Hakanson, 1980;Tomlinson et al, 1980;Muller, 1981;Long et al, 1998;Zhang and Liu, 2002;Kabir et al, 2011;Ghani et al, 2013). 그러나 퇴적물 내에서 미량금속은 화학적 존재형태(탄산염, 산화물, 수산화물, 황화물 및 유기물 등)에 따라 금속의 거동 및 생물이용성이 달라지기 때문에 미량금속의 총 농도만으로는 해양환경 및 생태계에 미치는 영향을 정확히 파악하 는데 어려움이 있다 (Yuan et al, 2004).…”

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Speciation and Ecological Risk Assessment of Trace Metals in Surface Sediments of the Masan Bay

Sun¹,

Lee²,

An³

et al. 2014

The Sea

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Total concentration and chemical speciation of trace metals (Cu, Pb, Zn, Cd, and Ni) were determined to evaluate pollution level and potential ecological risk in surface sediments of the Masan Bay. The results showed that the trace metal concentrations, except for Ni, were high in the inner Masan Bay. Based on the chemical speciation of metals in sediments, the percentage of total concentrations of Cd and Pb in non-residual fraction was 92% and 88%, respectively, indicating that these metals originated mainly from anthropogenic sources. However, Ni (70%) was dominant in residual fraction. Pollution load index (PLI) and ecological risk index (ERI) values in the inner bay indicate the presence of anthropogenic pollution and considerable-moderate ecological risk, respectively. Ecological index (Ei) value for Cd was high at most stations in the Masan Bay, and Cd content was the highest in acid soluble fraction, which presents the highest ecological risk. The results obtained in this study indicate that Cd presents a high potential ecological risk to benthic biota in the Masan Bay.

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Correlation assessment and monitoring of the potential pollutants in the surface sediments of Pyeongchang River, Korea

Cited by 37 publications

References 33 publications

Heavy Metals Contamination and Ecological Risk Assessment in Surface Sediments of Namal Lake, Pakistan

Heavy Metals Contamination and Ecological Risk Assessment in Surface Sediments of Namal Lake, Pakistan

Cadmium contamination of sediments in the water reservoirs in Silesian Upland (southern Poland)

Speciation and Ecological Risk Assessment of Trace Metals in Surface Sediments of the Masan Bay

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