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Application of hydrodynamic models in simulating the thermal regime of Lake Superior.

机译:水动力模型在模拟苏必利尔湖热力状况中的应用。

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摘要

In large systems, such as the Great Lakes and coastal oceans, physical processes have a significant influence on chemical and biological phenomena. Hydrodynamic modeling assists in describing these physical characteristics and in recent years, these models have been extensively applied in the Great Lakes basin to study the response of the lake ecosystem to long-term meteorological forcing conditions. Due to its role in mediating physical, biological and chemical processes in lake environments, water temperature (and the attendant thermal regime) has been the parameter of interest in many of these mathematical modeling studies and was adopted as the primary metric for this research. Owing to its pristine waters and relatively undisturbed (lowest-urban-impact) watershed, Lake Superior, the largest, deepest and northernmost of the Great Lakes, was selected as the study site for this doctoral work.;This study first describes the calibration and confirmation procedure for a three-dimensional (3D) hydrodynamic model developed for the western basin of Lake Superior, with an emphasis on evaluating model performance using a multi-criteria approach, and the introduction of a new goodness-of-fit criterion that finds applicability in an ecological context. The following segment introduces a one-dimensional (1D) hydrodynamic framework, adapted to explore spatio-temporal patterns in thermal stratification in Lake Superior (large lakes), supporting the development of coupled 1D frameworks to provide a computationally efficient and accurate approach to parameterize and test complex 3D ecosystem models. This 1D hydrodynamic model was further applied, in conjunction with field measurements of water temperature, to identify differences in the response of the thermal regime of Lake Superior in the nearshore and offshore regions to the divergent forcing conditions in the unusually warm year (2012) and the extreme cold year (2014).
机译:在大系统中,例如大湖区和沿海海洋,物理过程对化学和生物现象具有重大影响。水动力模型有助于描述这些物理特征,近年来,这些模型已在大湖流域得到广泛应用,以研究湖泊生态系统对长期气象强迫条件的响应。由于其在湖泊环境中介导的物理,生物和化学过程中的作用,水温(及其伴随的热态)已成为许多这些数学建模研究中感兴趣的参数,并被用作本研究的主要指标。由于其原始水域和相对不受干扰的(对城市影响最小)的分水岭,被选为大湖区最大,最深和最北端的苏必利尔湖作为这项博士研究的研究地点。为苏必利尔湖西部盆地开发的三维(3D)流体动力学模型的确认程序,重点是使用多准则方法评估模型的性能,并引入新的拟合优度准则以寻找适用性在生态环境中。以下部分介绍一维(1D)流体动力学框架,适用于探索苏必利尔湖(大型湖泊)热分层中的时空格局,支持耦合的一维框架的开发,从而提供一种计算有效且准确的方法来参数化和测试复杂的3D生态系统模型。进一步将该一维水动力模型与水温的现场测量结果结合起来,用于识别近岸和近海地区苏必利尔湖热状况对异常温暖年份(2012年)和不同强迫条件的响应差异。极端寒冷的一年(2014年)。

著录项

  • 作者

    Gawde, Rasika K.;

  • 作者单位

    Michigan Technological University.;

  • 授予单位 Michigan Technological University.;
  • 学科 Environmental engineering.;Biogeochemistry.
  • 学位 Ph.D.
  • 年度 2015
  • 页码 160 p.
  • 总页数 160
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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