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Spatial and temporal freeze-thaw variations in Alaskan roads

机译:阿拉斯加道路的时空冻融变化

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Seasonal freeze and thaw impact a road's ability to bear loads. Temperature index models are one of the methods being used to manage seasonal weight restrictions on roads. Many of these methods are limited to specific regions in which they have been calibrated and more universally applicable models are sought. We conducted a mull-year study of road subsurface temperature data in Alaska to understand temperature variations among stations and support the development of generally applicable models. Time-stability analysis showed that stations located within 25 km had consistent temperatures with the consistency increasing with measurement depth. At greater separation distances, stations' relative cold or warm biases were maintained across years. Up to 95% of temperature differences among stations was explained by latitude when linear regression was used. Temperature time series showed distinct isothermal conditions in spring at temperature below 0 degrees C. For stations located further south, thaw penetration rates were greater, and surface n-Factors varied more. A constant thawing index was also tested to determine thaw dates. Thaw depths corresponding to these dates were relatively consistent for northern stations but varied substantially for southern stations.
机译:季节性的冻融会影响道路的承受能力。温度指数模型是用于管理道路季节性重量限制的方法之一。这些方法中的许多方法都局限于已对其进行校准的特定区域,并寻求更通用的模型。我们对阿拉斯加的地下道路温度数据进行了为期一年的研究,以了解车站之间的温度变化并支持开发通用模型。时间稳定性分析表明,位于25 km之内的测站具有一致的温度,并且随着测量深度的增加,一致性不断提高。在更大的分隔距离下,这些站的相对偏冷或偏温可以保持多年。使用线性回归时,纬度可以解释站点之间高达95%的温差。温度时间序列在温度低于0摄氏度的春季显示出明显的等温条件。对于更偏南的站点,解冻渗透率更大,并且表面n因子变化更大。还测试了恒定的解冻指数以确定融化日期。与这些日期对应的解冻深度在北部站点相对一致,但在南部站点则变化很大。

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