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Brash ice growth model - development and validation

机译:碎冰生长模型-开发和验证

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Brash ice growth in frequently navigated areas like fairways or ports is quick due to the 'freezing - breaking' cycle induced by sub-zero temperatures and ship traffic. This problem is very acute in ports in Arctic areas where the temperatures are very low for long durations and the ship traffic is frequent. In order to take adequate action in managing the brash ice, the forecasts of the amount of brash ice expected should be reliable. The aim of this work is to develop and validate these prediction methods.The growth model developed is based on extension of earlier growth models which modify the Stefan type growth modelling. The improvement on the earlier models is that the brash ice layer is divided into three layers (instead of two in earlier models): The consolidated layer just below the water level, the brash ice over the water level and the unfrozen brash ice below the consolidated layer. The thermodynamic model follows the Stefan formulation including only the heat flux from latent heat release upon freezing (Stefan, 1891 and e.g. Anderson, 1961). The modelling includes the cyclic breaking and refreezing.The validation of the model is made using measurements carried out in winter 2013 in Lulea port and in winter 2015 in Sabetta in the Yamal peninsula. Lulea data suggests that the sideways motion of brash ice due to ship motion and wake should be taken into account when assessing the brash ice thickness. The analytical calculation over-estimates the brash ice thickness in the actual channel but under-estimates the total amount of broken ice. When applied to Sabetta data, the analytical calculation predicts well the observed brash ice thickness. It can be concluded that the analytical method that does not take into account any radiation heat fluxes can be applied in the high Arctic where solar radiation plays a minor role and ice surface is clearly below zero.
机译:由于低于零温度和船舶交通的“冻结-破坏”循环,在航道或港口等经常航行的地区,碎冰的生长很快。这个问题在北极地区的港口长期处于非常低的温度并且船舶交通频繁的地区非常严重。为了采取适当的行动来管理冰激凌,对期望的冰激凌量的预测应该是可靠的。这项工作的目的是开发和验证这些预测方法。所开发的增长模型基于对早期增长模型的扩展,这些扩展修改了Stefan类型的增长模型。较早模型的改进是将冰激凌层分为三层(而不是较早模型中的两层):刚好在水位以下的固结层,刚好在水位之上的残渣冰层和未固结的冰激凌层层。热力学模型遵循Stefan公式,其中仅包括冻结时潜热释放产生的热通量(Stefan,1891和例如Anderson,1961)。该模型包括周期性破坏和重新冻结.2013年冬季在吕勒奥港口和2015年冬季在亚马尔半岛的萨贝塔进行的测量对模型进行了验证。 Lulea的数据表明,在评估冰厚时应考虑由于船舶运动和尾流而引起的冰的侧向运动。分析计算高估了实际通道中的冰厚,但低估了碎冰的总量。当应用于Sabetta数据时,分析计算可以很好地预测观察到的冰霜厚度。可以得出结论,可以将不考虑任何辐射热通量的分析方法应用于北极地区,因为北极地区的太阳辐射起着很小的作用,冰面明显低于零。

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