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首页> 外文期刊>Hydrological Processes >Modelling in-pool temperature variability in a beaded arctic stream
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Modelling in-pool temperature variability in a beaded arctic stream

机译:对串珠状北极水流的池内温度变化建模

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This study examines the variability of in-pool temperatures in Imnavait Creek, a beaded arctic stream consisting of small pools connected by shallow chutes, for the purpose of predicting potential impacts of climate variations on the system. To better understand heat fate and transport through this system, the dominant heat sources and sinks creating and influencing thermal stratification within even the smallest and shallowest pools must be quantified. To do this, temperature data were collected vertically within the pool water column and surrounding bed sediments during stratified conditions. These temperature and other supporting data (e.g. instream flow, weather data, and bathymetry) were used to formulate and develop an instream temperature model that captures the site-specific processes occurring within the pools during summer low flow conditions. The model includes advective, air–water interface, and bed conduction fluxes, simplified vertical exchange between stratified pool layers, and attenuation of shortwave radiation within the water column. We present the model formulation, data collection methods used in support of model development and population, and the resulting model calibration and validation for one of the study pools. We also provide information regarding dominant heat sources and sinks and residence times of different layers within the stratified pool. We found that the dominant heat sources vary between stratified layers and that increases in thaw depths surrounding these pools due to possible climate changes can shift stratification, mixing, and instream storage dynamics, thereby influencing the fate and transport of heat and other constituents of interest (e.g. nutrients). Copyright © 2011 John Wiley & Sons, Ltd.
机译:这项研究检查了Imnavait Creek(珠状北极流,由浅水槽连接的小水池组成)的池内温度变化,目的是预测气候变化对系统的潜在影响。为了更好地了解通过该系统进行的热量归宿和运输,必须量化甚至在最小和最浅的池中产生并影响热分层的主要热源和热源。为此,在分层条件下,在池水柱和周围床沉积物中垂直收集温度数据。这些温度和其他支持数据(例如河道流量,天气数据和测深法)用于制定和开发河道温度模型,以捕获夏季低流量条件下水池内发生的特定地点过程。该模型包括对流,空气-水界面和床传导通量,分层池层之间的简化垂直交换以及水柱内短波辐射的衰减。我们介绍了模型公式,用于模型开发和总体支持的数据收集方法,以及对其中一个研究库进行的模型校准和验证。我们还提供有关分层池内主要热源和汇以及不同层的停留时间的信息。我们发现,主要的热源在分层层之间变化,并且由于可能的气候变化,这些池周围的融化深度增加会改变分层,混合和河内存储动态,从而影响热量和其他感兴趣的成分的命运和传输(例如营养)。版权所有©2011 John Wiley&Sons,Ltd.

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