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A mechanistic analysis of bioturbation.

机译:机械扰动的机械分析。

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摘要

The intensity of biogenic sediment mixing is often expressed as a "biodiffusion coefficient" (Db), quantified by fitting a diffusive model of bioturbation to vertical tracer profiles. Frequently when using steady-state particle-bound radioisotope tracers, the biodiffusion coefficient exhibits a dependence on tracer half-life: short-lived radioisotopes (e.g., 234Th) tend to yield significantly larger values than longer-lived radioisotopes (e.g., 210Pb). Similarly, when employing introduced particles as transient tracers the biodiffusion coefficient is inclined to be greatest in the short term and decrease thereafter. Transient tracer experiments further suggest that the nature of bioturbation changes as time progresses with initial advective or nonlocal transport giving way to diffusive mixing. It has been hypothesized that these trends are the results of differential mixing by benthic fauna, whereby recently deposited particles are mixed preferentially over other particles.;Alternative models of bioturbation must specify how particles are redistributed by benthic fauna, if they are not mixed diffusively. To this end, LABS is used to derive quantitative descriptions of particle transport for a variety of mixing modes. Such a decomposition of bioturbation into its constituent processes provides much needed insight into the different mixing mechanisms involved in biogenic reworking of sediments.;To investigate how the biodiffusion model interprets bioturbation on a variety of time scales, a mechanistic model is advanced named the Lattice-Automaton Bioturbation Simulator (LABS) within which tracer experiments like those undertaken in nature can be performed. Results from LABS demonstrate that the observed trends are generated in the absence of differential mixing when the biodiffusion model is applied on sufficiently short time scales such that its assumptions are no longer valid. Failure of the model, however, is not usually apparent from tracer profiles meaning that the model can be easily misapplied. Furthermore, an initial advective or nonlocal phase is shown to be expected when using introduced particles as a result of boundary effects.
机译:生物沉积物混合的强度通常表示为“生物扩散系数”(Db),可通过将生物扰动的扩散模型拟合到垂直示踪剂剖面来量化。通常使用稳态颗粒结合放射性同位素示踪剂时,生物扩散系数表现出对示踪剂半衰期的依赖性:寿命短的放射性同位素(例如234Th)往往比寿命长的放射性同位素(例如210Pb)产生明显更大的值。类似地,当采用引入的颗粒作为瞬态示踪剂时,生物扩散系数在短期内倾向于最大,然后降低。瞬态示踪剂实验进一步表明,随着时间的流逝,随着初始对流或非局部迁移让位于扩散混合,生物扰动的性质也会发生变化。据推测,这些趋势是底栖动物区系混合混合的结果,因此,最近沉积的颗粒优先于其他颗粒进行混合。生物扰动的替代模型必须规定底栖动物区系如何重新分布颗粒(如果未进行扩散混合)。为此,LABS用于得出各种混合模式下颗粒传输的定量描述。这种将生物扰动分解成其组成过程的方法,为深入了解沉积物生物修复中涉及的不同混合机制提供了迫切需要的洞察力。为了研究生物扩散模型如何在各种时间尺度上解释生物扰动,提出了一种称为莱迪思的机械模型。自动机生物扰动模拟器(LABS),可以在其中进行类似自然界中的示踪剂实验。 LABS的结果表明,当在足够短的时间尺度上应用生物扩散模型时,观察到的趋势是在没有差异混合的情况下产生的,因此其假设不再有效。但是,从跟踪器配置文件中通常看不到模型的故障,这意味着可以轻易地错误应用模型。此外,由于边界效应,使用引入的颗粒时,预计会出现初始对流或非局部相。

著录项

  • 作者

    Reed, Daniel C.;

  • 作者单位

    Dalhousie University (Canada).;

  • 授予单位 Dalhousie University (Canada).;
  • 学科 Physical Oceanography.
  • 学位 Ph.D.
  • 年度 2008
  • 页码 105 p.
  • 总页数 105
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 非洲史;
  • 关键词

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