Literature DB >> 27664177

Novel method of vulnerability assessment of simple landfills area using the multimedia, multipathway and multireceptor risk assessment (3MRA) model, China.

Ying Yuan1, Xiao-Song He2, Bei-Dou Xi3, Zi-Min Wei4, Wen-Bing Tan3, Ru-Tai Gao3.   

Abstract

Vulnerability assessment of simple landfills was conducted using the multimedia, multipathway and multireceptor risk assessment (3MRA) model for the first time in China. The minimum safe threshold of six contaminants (benzene, arsenic (As), cadmium (Cd), hexavalent chromium [Cr(VI)], divalent mercury [Hg(II)] and divalent nickel [Ni(II)]) in landfill and waste pile models were calculated by the 3MRA model. Furthermore, the vulnerability indexes of the six contaminants were predicted based on the model calculation. The results showed that the order of health risk vulnerability index was As > Hg(II) > Cr(VI) > benzene > Cd > Ni(II) in the landfill model, whereas the ecology risk vulnerability index was in the order of As > Hg(II) > Cr(VI) > Cd > benzene > Ni(II). In the waste pile model, the order of health risk vulnerability index was benzene > Hg(II) > Cr(VI) > As > Cd and Ni(II), whereas the ecology risk vulnerability index was in the order of Hg(II) > Cd > Cr(VI) > As > benzene > Ni(II). These results indicated that As, Hg(II) and Cr(VI) were the high risk contaminants for the case of a simple landfill in China; the concentration of these in soil and groundwater around the simple landfill should be strictly monitored, and proper mediation is also recommended for simple landfills with a high concentration of contaminants.
© The Author(s) 2016.

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Keywords:  Risk vulnerability assessment; contaminant; heavy metal; landfill; multimedia; multipathway and multireceptor risk assessment (3MRA)

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Year:  2016        PMID: 27664177     DOI: 10.1177/0734242X16665912

Source DB:  PubMed          Journal:  Waste Manag Res


  1 in total

1.  Risk-Based Prioritization Method for the Classification of Groundwater Pollution from Hazardous Waste Landfills.

Authors:  Yu Yang; Yong-Hai Jiang; Xin-Ying Lian; Bei-Dou Xi; Zhi-Fei Ma; Xiang-Jian Xu; Da An
Journal:  Environ Manage       Date:  2016-09-24       Impact factor: 3.266

  1 in total

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