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Two-zone transient storage modeling using temperature and solute data with multiobjective calibration: 2. Temperature and Solute

机译:使用温度和溶质数据进行多目标校准的两区域瞬态存储建模:2.温度和溶质

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摘要

This paper presents the multiobjective calibration results for temperature and solutefrom a two‐zone temperature and solute (TZTS) model which separates transient storageinto surface (STS) and subsurface (HTS) transient storage components. This modelcontains terms associated with surface heat fluxes in the main channel (MC) and STS, heatand mass exchange between the STS and MC, heat and mass exchange between the HTSand MC, and heat exchange due to bed and deeper ground conduction. To estimate theadditional parameters associated with a multiple‐zone model, a data collection effort wasconducted to provide temperature time series and solute tracer curves representingthe movement of heat and/or solute through each zone. A multiobjective calibrationalgorithm was linked to the TZTS model to assist in parameter estimation and to provideinformation about parameter uncertainty and tradeoffs associated with matchingdifferent combinations of observations (e.g., solute and/or temperature data gathered invarious zones). Results generated from three different combinations of calibration dataillustrated that the two‐zone model accurately reproduces temperatures and tracerconcentrations observed in different zones when considered independently. However,there were many parameter sets that resulted in objectively indistinguishable results. Whentracer and temperature observations were considered simultaneously in model calibration,the simplistic representation of the surface and subsurface zones did not adequatelyreproduce both observation types in each zone. If the uncertainty in model parametersand the data are taken into account, however, the results of the study suggest that it isplausible to use temperature and tracer information simultaneously to better informtransient storage modeling approaches.
机译:本文从两区域温度和溶质(TZTS)模型提供了温度和溶质的多目标校准结果,该模型将瞬态存储分为表面(STS)和地下(HTS)瞬态存储组件。该模型包含与主通道(MC)和STS中的表面热通量,STS和MC之间的热与质量交换,HTS和MC之间的热与质量交换以及由于床层和更深的地面传导引起的热交换有关的术语。为了估算与多区域模型相关的其他参数,进行了数据收集工作以提供温度时间序列和溶质示踪剂曲线,这些曲线表示热量和/或溶质在每个区域中的运动。将多目标校准算法链接到TZTS模型,以辅助参数估计并提供有关参数不确定性和与匹配不同观测值组合(例如溶质和/或温度数据收集的不变区域)相关的折衷的信息。从三种不同的校准数据组合产生的结果说明,当单独考虑时,两区模型可以准确再现在不同区域中观察到的温度和示踪剂浓度。但是,有许多参数集导致客观上难以区分的结果。当在模型校准中同时考虑示踪剂和温度观测值时,表层和地下区域的简单表示不能充分再现每个区域中的两种观测类型。但是,如果考虑模型参数和数据的不确定性,则研究结果表明,同时使用温度和示踪剂信息以更好地为瞬态存储建模方法提供信息是可行的。

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