Literature DB >> 26041061

Fraction distribution and risk assessment of heavy metals in waste clay sediment discharged through the phosphate beneficiation process in Jordan.

Mohammad Salem Al-Hwaiti1, Hans Jurgen Brumsack, Bernhard Schnetger.   

Abstract

Heavy metal contamination of clay waste through the phosphate beneficiation process is a serious problem faced by scientists and regulators worldwide. Through the beneficiation process, heavy metals naturally present in the phosphate rocks became concentrated in the clay waste. This study evaluated the concentration of heavy metals and their fractions in the clay waste in order to assess the risk of environmental contamination. A five-step sequential extraction method, the risk assessment code (RAC), effects range low (ERL), effects range medium (ERM), the lowest effect level (LEL), the severe effect level (SEL), the redistribution index (U tf), the reduced partition index (I), residual partition index (I R), and the Nemerow multi-factor index (PC) were used to assess for clay waste contamination. Heavy metals were analyzed using high-resolution inductively coupled plasma mass spectrometry (HR-ICP-MS) and inductively coupled plasma optical emission spectroscopy (ICP-OES). Correlation analyses were carried out to better understand the relationships between the chemical characteristics and the contents of the different phase fractions. Concentrations of Cd and Cu confirmed that both were bound to the exchangeable fraction (F1) and the carbonate fraction (F2), presenting higher mobility, whereas Pb was most abundant in the Fe-Mn oxide fraction (F3) and organic matter fraction (F4). The residual fraction (F5) contained the highest concentrations (>60%) of As, Cr, Mo, V, and Zn, with lower mobility. Application of the RAC index showed that Cd and Cu should be considered a moderate risk, whereas As, Cr, Mo, Pb, and Zn presented a low risk. Cadmium and Cu contents in mobile fractions F1 and F2 were higher than ERL but lower than ERM. On the other hand, As, Pb, and Zn contents of mobile fractions F1 and F2 were lower than ERL and ERM guideline values. Moreover, total Pb concentrations in the clay waste were below the lowest effect level (LEL) threshold value period, Cr and Zn values in the clay waste were determined to have exceeded the severe effect level (SEL) limit values, whereas Cd and Cu level ranges between LEL and SEL indicate moderate contamination. I R values of heavy metals in the clay waste confirmed that Cd and Cu were bound to the exchangeable and carbonate fractions and presented higher mobility, whereas As, Cr, Mo, Pb, V, and Zn were bound to organic or residual fractions and consequently exhibit lower mobility. A Nemerow multi-factor index revealed that the mine site contains high levels of Cd, Cu, V, and Zn pollution. As and Cr were found at a moderate level of contamination, whereas Pb was present at a safe level of contamination. The order of the comprehensive contamination indices was Cd > Cu > Mo > Zn > V > Cr > As > Pb, indicating that the assessment of clay waste, especially with Cd and Cu, should be undertaken to control heavy metal contamination in adjacent urban and mine areas at the Eshidiya mines.

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Year:  2015        PMID: 26041061     DOI: 10.1007/s10661-015-4579-2

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  23 in total

1.  Evalution of sequential extractions on dry and wet sediments.

Authors:  W Baeyens; F Monteny; M Leermakers; S Bouillon
Journal:  Anal Bioanal Chem       Date:  2003-06-17       Impact factor: 4.142

2.  Cu, Ni, and Pb speciation in surface sediments from a contaminated bay of northern China.

Authors:  Wenhong Fan; Wen-Xiong Wang; Jingsheng Chen; Xiangdong Li; Yu-Fong Yen
Journal:  Mar Pollut Bull       Date:  2002-08       Impact factor: 5.553

3.  Assessment of metal mobility in dredged harbour sediments from Barcelona, Spain.

Authors:  A Guevara-Riba; A Sahuquillo; R Rubio; G Rauret
Journal:  Sci Total Environ       Date:  2004-04-05       Impact factor: 7.963

4.  Fraction distribution and risk assessment of heavy metals in sediments of Moshui Lake.

Authors:  Honglei Liu; Liqing Li; Chengqing Yin; Baoqing Shan
Journal:  J Environ Sci (China)       Date:  2008       Impact factor: 5.565

5.  Assessment of heavy metal pollutants accumulation in the Tisza river sediments.

Authors:  Sanja M Sakan; Dragana S Dordević; Dragan D Manojlović; Polić S Predrag
Journal:  J Environ Manage       Date:  2009-06-09       Impact factor: 6.789

6.  Oxygen levels versus chemical pollutants: do they have similar influence on macrofaunal assemblages? A case study in a harbour with two opposing entrances.

Authors:  J M Guerra-García; J C García-Gómez
Journal:  Environ Pollut       Date:  2005-05       Impact factor: 8.071

7.  Fractionation and sequential extraction of heavy metals in the soil of scrapyard of discarded vehicles.

Authors:  Qasem M Jaradat; Adnan M Massadeh; Mohammed A Zaitoun; Baheyah M Maitah
Journal:  Environ Monit Assess       Date:  2006-01       Impact factor: 2.513

8.  Metal partitioning in river sediments measured by sequential extraction and biomimetic approaches.

Authors:  Shu-Heng Peng; Wen-Xiong Wang; Xiangdong Li; Yu-Fong Yen
Journal:  Chemosphere       Date:  2004-11       Impact factor: 7.086

9.  Health risk assessment of heavy metals contamination in tomato and green pepper plants grown in soils amended with phosphogypsum waste materials.

Authors:  Mohammad Al-Hwaiti; Omar Al-Khashman
Journal:  Environ Geochem Health       Date:  2014-08-31       Impact factor: 4.609

10.  Heavy metal distribution in sediments and ecological risk assessment: The role of diagenetic processes in reducing metal toxicity in bottom sediments.

Authors:  H M Fernandes
Journal:  Environ Pollut       Date:  1997       Impact factor: 8.071

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