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Numerical Reaction-Transport Model of Lake Dynamics and Their Eutrophication Processes.

机译:湖泊动力学及其富营养化过程的数值反应-运输模型。

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摘要

A 1D numerical reaction-transport model (RTM) that is a coupled system of partial differential equations is created to simulate prominent physical and biogeochemical processes and interactions in limnological environments. The prognostic variables considered are temperature, horizontal velocity, salinity, and turbulent kinetic energy of the water column, and the concentrations of phytoplankton, zooplankton, detritus, phosphate (H3PO4 ), nitrate (NO3-), ammonium (NH 4+), ferrous iron (Fe2+), iron(III) hydroxide (Fe(OH)3(s)), and oxygen (O2) suspended within the water column. Turbulence is modelled using the k - epsilon closure scheme as implemented by Gaspar et al. (1990) for oceanic environments. The RTM is used to demonstrate how it is possible to investigate limnological trophic states by considering the problem of eutrophication as an example. A phenomenological investigation of processes leading to and sustaining eutrophication is carried out. A new indexing system that identifies different trophic states, the so-called Self-Consistent Trophic State Index (SCTSI), is proposed. This index does not rely on empirical measurements that are then compared to existing tables for classifying limnological environments into particular trophic states, for example, the concentrations of certain species at certain depths to indicate the trophic state, as is commonly done in the literature. Rather, the index is calculated using dynamic properties of only the limnological environment being considered and examines how those properties affect the sustainability of the ecosystem. Specifically, the index is calculated from a ratio of light attenuation by the ecosystem's primary biomass to that of total light attenuation by all particulate species and molecular scattering throughout the entire water column. The index is used to probe various simulated scenarios that are believed to be relevant to eutrophication: nutrient loading, nutrient limitation, overabundance of phytoplankton, solar-induced turbulence, and wind-induced turbulence.
机译:创建了一个一维数值反应运输模型(RTM),该模型是偏微分方程的耦合系统,用于模拟重要的物理和生物地球化学过程以及湖泊环境中的相互作用。考虑的预后变量包括温度,水平速度,盐度和水柱湍流动能,以及浮游植物,浮游动物,碎屑,磷酸盐(H3PO4),硝酸盐(NO3-),铵盐(NH 4+),亚铁的浓度悬浮在水柱中的铁(Fe2 +),氢氧化铁(III)(Fe(OH)3(s))和氧气(O2)。用Gaspar等人实现的k-ε封闭方案对湍流进行建模。 (1990)针对海洋环境。 RTM用于以富营养化问题为例,说明如何研究植物学的营养状态。进行了导致和维持富营养化过程的现象学研究。提出了一种识别不同营养状态的新索引系统,即所谓的自洽营养状态索引(SCTSI)。该指数不依赖于经验测量,然后将其与现有表进行比较,以将植物学环境分类为特定的营养状态,例如,某些物种在某些深度处的浓度指示营养状态,这在文献中通常是这样做的。相反,仅使用所考虑的森林环境的动态特性来计算该指数,并检查这些特性如何影响生态系统的可持续性。具体而言,该指数是根据生态系统的主要生物量的光衰减与所有颗粒物的总光衰减和整个水柱中的分子散射的比率得出的。该指数用于探测与富营养化有关的各种模拟情况:养分含量,养分限制,浮游植物的丰度,太阳引起的湍流和风引起的湍流。

著录项

  • 作者

    Stojanovic, Severin.;

  • 作者单位

    University of Ottawa (Canada).;

  • 授予单位 University of Ottawa (Canada).;
  • 学科 Physics Fluid and Plasma.;Biology Limnology.
  • 学位 M.Sc.
  • 年度 2011
  • 页码 118 p.
  • 总页数 118
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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