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Use of numerical models and satellite data to study physical processes in Lake Baikal

机译:利用数值模型和卫星数据研究贝加尔湖的物理过程

摘要

The survival of Lake Baikal's unique floral and fauna, of over 1500 endemic species, depends on water circulation carrying oxygen to all depths. However, the mechanisms by which this takes place are not well understood. A three-dimensional model of the lake has been developed, which is the first to be discussed in the open literature. The model, in conjunction with satellite data, is demonstrated to be particularly useful for investigating mixing processes occurring in the upper layer when the lake surface is frozen. Model generated temperature-depth profiles show that mixing extends to a depth of 40 m under regions of snow-free ice, compared to 15 m under snow-covered ice (after a period of 8 days). The model can, therefore, provide an indication of diatom populations (a vital part of the food chain), as these are larger in regions where convective mixing is most active.;Satellite data are analysed to assess the spatial and temporal distribution of snow and ice cover, in order to study density driven currents caused by non-uniform solar heating through the ice and snow. Incorporating these into the model generates current speeds of about 5x10-3 m s-1, an order of magnitude small than those observed in the lake. This suggests that current flow in the real lake may not be purely density driven, as was previously thought.;Other features observed in satellite images include thermal bars and gyres, both possible mechanisms for deep circulation of water. Thermal bars occur primarily along the south cost of the Central Basin, during June. Numerical modelling experiments suggest that gyre formation is due to the combination of a north-west wind, the Coriolis effect, and the presence of the steep Academician Ridge separating the Central and North Basins.;Finally, as regards the ice-free lake, it has been suggested that deep water ventilation might occur if internal waves are able to displace the thermocline downwards to a depth sufficient to cause 'thermobaric instability'. Model results show that wind speeds greater than 40 m s-1 must be uniformly applied to the surface of the lake for 1 to 2 days for the depth criterion to be met. It therefore seems unlikely that deep water ventilation is due to wind-induced internal waves.
机译:贝加尔湖独特的花卉和动物群(超过1500种特有物种)的生存依赖于向深处输送氧气的水循环。但是,对此发生的机制还没有很好的理解。已经开发了湖泊的三维模型,这是公开文献中首次讨论的模型。该模型与卫星数据一起被证明对调查湖面冻结时在上层发生的混合过程特别有用。模型生成的温度-深度剖面图表明,在无雪冰区域下,混合扩展到40 m的深度,而在大雪覆盖的冰下,混合扩展到15 m(8天后)。因此,该模型可以指示硅藻种群(食物链的重要组成部分),因为在对流混合最活跃的区域中硅藻种群更大。;分析卫星数据以评估雪和冰的时空分布冰盖,以研究由不均匀的太阳加热通过冰和雪引起的密度驱动电流。将它们合并到模型中会产生大约5x10-3 m s-1的当前速度,比在湖泊中观察到的速度小一个数量级。这表明,真实湖泊中的水流可能不像以前所想的那样纯粹是由密度驱动的;卫星图像中观察到的其他特征包括热棒和回旋,这都是水深循环的可能机制。在6月期间,热棒主要出现在中部盆地南部。数值模拟实验表明,旋流的形成是由于西北风,科里奥利效应以及分隔中部和北部盆地的陡峭院士岭的共同作用。最后,对于无冰湖,有人建议,如果内部波浪能够使温跃层向下移位到足以引起“热不稳定”的深度,则可能发生深水通风。模型结果表明,必须将大于40 m s-1的风速均匀施加到湖泊表面1到2天,才能满足深度标准。因此,深水通风似乎不太可能是由于风引起的内部波浪。

著录项

  • 作者

    Le Core, Helen Louise.;

  • 作者单位
  • 年度 1998
  • 总页数
  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
  • 中图分类

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