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首页> 外文期刊>Environmental toxicology and chemistry >MODELING METAL BIOACCUMULATION IN THE INVASIVE MUSSELS DREISSENA POLYMORPHA AND DREISSENA ROSTRIFORMIS BUGENSIS IN THE RIVERS RHINE AND MEUSE
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MODELING METAL BIOACCUMULATION IN THE INVASIVE MUSSELS DREISSENA POLYMORPHA AND DREISSENA ROSTRIFORMIS BUGENSIS IN THE RIVERS RHINE AND MEUSE

机译：在河滨莱茵河中侵袭性贻贝多角形藻和芽孢杆菌的金属生物富集建模及目的

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摘要

The metal-specific covalent index and the species-specific size-based filtration rate were integrated into a biokinetic model estimating metal bioaccumulation in mussels from the dissolved phase and phytoplankton. The model was validated for zebra (Dreissena polymorpha) and quagga (Dreissena rostriformis bugensis) mussels in the rivers Rhine and Meuse, the Netherlands. The model performed well in predicting tissue concentrations in different-sized zebra mussels from various sampling sites for ~(55)Mn, ~(56)Fe, ~(59)Co, ~(66)Ni, ~(82)Se,~(111)Cd, ~(118)Sn, and ~(208)Pb (r~2 = 0.71-0.99). Performance for ~(52)Cr, ~(63)Cu, ~(66)Zn, ~(68)Zn, and ~(112)Cd was moderate (r~2 < 0.20). In quagga mussels, approximately 73 to 94% of the variability in concentrations of ~(82)Se, ~(111)Cd, ~(112)Cd, and ~(208)Pb was explained by the model (r~2 = 0.73-0.94), followed by ~(52)Cr, ~(55)Mn, ~(56)Fe, ~(60)Ni, and ~(63)Cu (r~2 = 0.48-0.61). Additionally, in both zebra and quagga mussels, average modeled concentrations were within approximately one order of magnitude of the measured values. In particular, in zebra mussels, estimations of ~(60)Ni and ~(82)Se concentrations were equal to 51 and 76% of the measurements, respectively. Higher deviations were observed for ~(52)Cr, ~(59)Co, ~(55)Mn, ~(56)Fe, ~(111)Cd, ~(63)Cu, and ~(112)Cd (underestimation), and ~(66)Zn, ~(68)Zn, ~(208)Pb, and ~(118)Sn (overestimation). For quagga mussels, modeled concentrations of ~(66)Zn and ~(68)Zn differed approximately 14% from the measured levels. Differences between predictions and measurements were higher for other metals.
机译：将金属特异性共价指数和物种特异性基于尺寸的过滤速率整合到生物动力学模型中，该模型可估算贻贝从溶解相和浮游植物中的金属生物累积量。该模型已针对荷兰莱茵河和默兹河中的斑马（Dreissena polymorpha）和斑马（Dreissena rostriformis bugensis）贻贝进行了验证。该模型在预测来自各个采样点的〜（55）Mn，〜（56）Fe，〜（59）Co，〜（66）Ni，〜（82）Se，〜的不同大小斑马贻贝的组织浓度方面表现出色（111）Cd，〜（118）Sn和〜（208）Pb（r〜2 = 0.71-0.99）。 〜（52）Cr，〜（63）Cu，〜（66）Zn，〜（68）Zn和〜（112）Cd的性能中等（r〜2 <0.20）。在夸加贻贝中，模型解释了〜（82）Se，〜（111）Cd，〜（112）Cd和〜（208）Pb浓度的大约73％至94％的变异性（r〜2 = 0.73 -0.94），然后是〜（52）Cr，〜（55）Mn，〜（56）Fe，〜（60）Ni和〜（63）Cu（r〜2 = 0.48-0.61）。此外，在斑马和斑马贻贝中，平均建模浓度均在测量值的大约一个数量级内。特别是在斑马贻贝中，〜（60）Ni和〜（82）Se浓度的估计值分别等于测量值的51％和76％。观察到〜（52）Cr，〜（59）Co，〜（55）Mn，〜（56）Fe，〜（111）Cd，〜（63）Cu和〜（112）Cd的偏差更大（低估） ，〜（66）Zn，〜（68）Zn，〜（208）Pb和〜（118）Sn（高估）。对于夸加贻贝，〜（66）Zn和〜（68）Zn的模拟浓度与测得的浓度相差约14％。其他金属的预测值与测量值之间的差异更大。

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  • 来源
    《Environmental toxicology and chemistry》 |2011年第12期|p.2825-2830|共6页
  • 作者

    T.T. Yen Le; Rob S.E.W. Leuven; A. Jan Hendriks;

  • 作者单位

    Department of Environmental Science, Institute for Water and Wetland Research, Radboud University Nijmegen, Nijmegen, the Netherlands;

    Department of Environmental Science, Institute for Water and Wetland Research, Radboud University Nijmegen, Nijmegen, the Netherlands;

    Department of Environmental Science, Institute for Water and Wetland Research, Radboud University Nijmegen, Nijmegen, the Netherlands;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    bivalve; modeling; bioconcentration factor; river rhine; river meuse;

    机译：双壳类造型;生物浓缩因子;莱茵河默兹河;

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