Heavy metal pollution and spatial distribution in surface sediments of Mustafakemalpaşa stream located in the world's largest borate basin (Turkey)

Omwene, Philip Isaac; Öncel, Mehmet Salim; Çelen, Meltem; Kobya, Mehmet

doi:10.1016/j.chemosphere.2018.06.031

Cited by 125 publications

(45 citation statements)

References 39 publications

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“…23 It is widely applied to evaluate the pollution level of a single heavy metal in soils and sediments. 6,9 The value of I geo was calculated by formula (1):…”

Section: Methodsmentioning

confidence: 99%

“…In this study, the objective is to evaluate the health risks of heavy metals through direct exposure pathways. The noncarcinogenic hazard index and carcinogenic risk index were calculated by formulas (5)- (9) and the results are presented in Table 7. The values of non-carcinogenic hazard index were all lower than 1, suggesting no non-carcinogenic risks to the human body.…”

Section: Health Risk Assessment Of Heavy Metalsmentioning

confidence: 99%

“…5 The I geo method and RI method have been widely used to evaluate the contamination of heavy metals in soils and sediments. [6][7][8][9] It is reported that the combination of I geo method and RI method can improve the relative accuracy of assessment results by considering the lithology, toxicity and comprehensive effect of heavy metals together. 10 The dose-response model, recommended by USEPA, has been widely applied to soils to evaluate the human health risk (non-carcinogenic or carcinogenic) due to heavy metals.…”

Section: Introductionmentioning

confidence: 99%

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Contamination assessment, source apportionment and health risk assessment of heavy metals in paddy soils of Jiulong River Basin, Southeast China

Huang

Lin

et al. 2019

RSC Adv.

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“…23 It is widely applied to evaluate the pollution level of a single heavy metal in soils and sediments. 6,9 The value of I geo was calculated by formula (1):…”

Section: Methodsmentioning

confidence: 99%

Section: Health Risk Assessment Of Heavy Metalsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Contamination assessment, source apportionment and health risk assessment of heavy metals in paddy soils of Jiulong River Basin, Southeast China

Huang

Lin

et al. 2019

RSC Adv.

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“…HMs are a natural component of rocks. As the result of rocks weathering they are transferred to soil and bottom sediments, where they are supplemented with metals originating from anthropogenic activity such as urbanization, industrialization, transportation and energy production [3,4]. One important yet relatively seldom studied means of metals transferring to sediments is storm water run-off.…”

Section: Introductionmentioning

confidence: 99%

Heavy Metals in Sediments of Urban Streams: Contamination and Health Risk Assessment of Influencing Factors

et al. 2019

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Sediments of two urban streams in northern Poland outflowing to the Baltic Sea were assessed to explain the spatial variation in relation to urbanization level of the catchment, the role of retention tanks (RTs) and identification of pollution level. During the 3 month period of investigation sediment samples were collected from the inflow (IN) and outflow (OUT) of six RTs located on streams for flood protection. Six heavy metals (HMs) were investigated: Cu, Pb, Zn, Cd, Ni, Cr. The assessment of four geochemical enrichment indices used to quantify contamination of HMs in the sediments at IN and OUT samples was carried out. Contamination factor (CF), pollution load index (PLI), geoaccumulation index (Igeo) and potential ecological risk (RI) were calculated and the indices usefulness was assessed. Also, the hazard quotient (HQ) was calculated to assess health risk associated with dredging works. In sediments from RTs where paved surfaces constituted more than 70% of the catchment the HMs concentrations were from one to three times higher for Ni and from two to 143 times higher for Cu in comparison to soft catchment results. The extremely high Cu concentration (1114 mg/kg d.w.) found in sediments at RT Orłowska IN was most likely associated with large area of roofs covered with copper sheet. Calculation of CF, PLI, Igeo, RI, HQ indicators allows for a complex and multi-dimensional assessment of sediment status. Among these, CF and PLI classified the analyzed sediments as most polluted. Basing on the sedimentary HMs concentrations the health risk level via dermal exposure pathway was assessed as low.

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“…Not only are industrial sites affected by HM enrichment. The increase in HMs in sediments of urban water bodies has also been studied in the recent years, showing an accumulation of HMs in sediments (mostly fine-grained fraction) often leading to contamination (Alexakis 2011;Devesa-Rey et al 2011;Omwene et al 2018;Sekabira et al 2010). Total concentrations of heavy metals are generally used to evaluate the contamination status of the environment (Kanda et al 2018).…”

Section: Introductionmentioning

confidence: 99%

Spatial and vertical distribution analysis of heavy metals in urban retention tanks sediments: a case study of Strzyza Stream

Nawrot

Wojciechowska

Matej-Łukowicz

et al. 2019

Environ Geochem Health

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Concentrations of seven heavy metals (HMs): Zn, Cu, Pb, Cd, Ni, Cr, and Fe in core samples of bottom sediments from four retention tanks (RTs) located along the Strzyza Stream in northern Poland (Gdansk) were measured to obtain a general view of sediment quality. The recognition of contamination and potential environmental impacts is the main aim of this paper. A total of 96 sediment samples were collected from eight sampling sites at depths of 0-2 cm, 8-10 cm, 16-18 cm, 24-26 cm. Concentrations of Cu, Zn, Pb, Fe, Ni, and Cr were measured with AAS while Cd concentration was measured with ICP-MS. Granulometric analyses with normalized sieve apertures were carried out. Geochemical indices: enrichment factor, anthropogenic factor, and modified degree of contamination (mCd) were used to assess the contamination level. Concentrations of HMs in sediments changed in the range: Cu (3.24-119 mg/kg d.w.), Zn (12.5-584 mg/kg d.w.), Pb (4.91-309 mg/ kg d.w.), Cd (0.003-0.716 mg/kg d.w.), Ni (1.57-25.8 mg/kg d.w.), Cr (2.45-74.5 mg/kg d.w.), and Fe (3993-63817 mg/kg d.w.). The sequential extraction verified the bonding of HMs with nonmobile fractions. Geochemical indices showed widespread pollution by Cu, Pb, Cd, and Zn. Cluster and factor analysis distinguished three related subgroups of HMs: Pb, Ni-Cr, and Fe-Cd-Cu-Zn, suggesting possible common source of each subgroup. Strongly contaminated sediments were distinguished in sediment cores in two middle stream RTs characterized by intense urbanization in their direct catchments.

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Heavy metal pollution and spatial distribution in surface sediments of Mustafakemalpaşa stream located in the world's largest borate basin (Turkey)

Cited by 125 publications

References 39 publications

Contamination assessment, source apportionment and health risk assessment of heavy metals in paddy soils of Jiulong River Basin, Southeast China

Contamination assessment, source apportionment and health risk assessment of heavy metals in paddy soils of Jiulong River Basin, Southeast China

Heavy Metals in Sediments of Urban Streams: Contamination and Health Risk Assessment of Influencing Factors

Spatial and vertical distribution analysis of heavy metals in urban retention tanks sediments: a case study of Strzyza Stream

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