Literature DB >> 23784057

Adsorption of multi-heavy metals Zn and Cu onto surficial sediments: modeling and adsorption capacity analysis.

Shanshan Li1, Chen Zhang, Meng Wang, Yu Li.   

Abstract

Improved multiple regression adsorption models (IMRAMs) was developed to estimate the adsorption capacity of the components [Fe oxides (Fe), Mn oxides (Mn), organic materials (OMs), residuals] in surficial sediments for multi-heavy metal Zn and Cu. IMRAM is an improved version over MRAM, which introduces a computer program in the model developing process. As MRAM, Zn(Cu) IMRAM, and Cu(Zn) IMRAM again confirmed that there is significant interaction effects that control the adsorption of compounded Zn and Cu, which was neglected by additional adsorption model. The verification experiment shows that the relative deviation of the IMRAMs is less than 13%. It is revealed by the IMRAMs that Mn, which has the greatest adsorption capability for compounded Zn and Cu (54.889 and 161.180 mg/l, respectively), follows by interference adsorption capacity of Fe/Mn (-1.072 and -24.591 mg/l respectively). Zn and Cu influence each other through different mechanisms. When Zn is the adsorbate, compounded Cu mainly affects the adsorption capacities of Fe/Mn and Fe/Mn/OMs; while when Cu is the adsorbate, compounded Zn mainly exerts its effect on Mn, Fe/Mn, and Mn/OMs. It also shows that the compounded Zn or Cu weakened the interference adsorption of Fe/Mn, and meanwhile, strengthened the interference adsorption of Mn/OMs.

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Year:  2013        PMID: 23784057     DOI: 10.1007/s11356-013-1916-2

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  8 in total

1.  Comparison of the adsorption of lead, cadmium, copper, zinc and barium to freshwater surface coatings.

Authors:  Deming Dong; Yu Li; Jingjing Zhang; Xiuyi Hua
Journal:  Chemosphere       Date:  2003-05       Impact factor: 7.086

2.  Cu and Zn adsorption onto non-residual and residual components in the natural surface coatings samples (NSCSs) in the Songhua River, China.

Authors:  Yu Li; Xiaoli Wang; Shuhai Guo; Deming Dong
Journal:  Environ Pollut       Date:  2006-02-07       Impact factor: 8.071

3.  Heavy metal contamination in surface sediments of Yangtze River intertidal zone: an assessment from different indexes.

Authors:  Weiguo Zhang; Huan Feng; Jinna Chang; Jianguo Qu; Hongxia Xie; Lizhong Yu
Journal:  Environ Pollut       Date:  2009-02-13       Impact factor: 8.071

4.  Chemical composition of suspended sediments in World Rivers: New insights from a new database.

Authors:  Jérôme Viers; Bernard Dupré; Jérôme Gaillardet
Journal:  Sci Total Environ       Date:  2008-11-12       Impact factor: 7.963

5.  The effects of pH and surface composition on Pb adsorption to natural freshwater biofilms.

Authors:  A R Wilson; L W Lion; Y M Nelson; M L Shuler; W C Ghiorse
Journal:  Environ Sci Technol       Date:  2001-08-01       Impact factor: 9.028

6.  Investigation on Fe, Mn, Zn, Cu, Pb and Cd fractions in the natural surface coating samples and surficial sediments in the Songhua River, China.

Authors:  Shu-hai Guo; Xiao-li Wang; Yu Li; Jie-jiang Chen; Jun-cheng Yang
Journal:  J Environ Sci (China)       Date:  2006       Impact factor: 5.565

7.  Lead adsorption to metal oxides and organic material of freshwater surface coatings determined using a novel selective extraction method.

Authors:  Deming Dong; Xiuyi Hua; Yu Li; Zhonghua Li
Journal:  Environ Pollut       Date:  2002       Impact factor: 8.071

8.  Sorption of pentachlorophenol on surficial sediments: the roles of metal oxides and organic materials with co-existed copper present.

Authors:  Xiaoli Wang; Yu Li; Deming Dong
Journal:  Chemosphere       Date:  2008-07-22       Impact factor: 7.086

  8 in total
  1 in total

1.  Remobilization of trace metals from contaminated marine sediment in a simulated dynamic environment.

Authors:  Weihai Xu; Xiangdong Li; Onyx W H Wai; Weilin Huang; Wen Yan
Journal:  Environ Sci Pollut Res Int       Date:  2015-08-21       Impact factor: 4.223

  1 in total

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