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Two-zone transient storage modeling using temperature and solute data with multiobjective calibration: 1. Temperature

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:1.温度

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摘要

This paper presents the formulation and calibration of the temperature portion of a two-zone temperature and solute (TZTS) model which separates transient storage into surface (STS) and subsurface transient storage (HTS) zones. The inclusion of temperature required the TZTS model formulation to differ somewhat from past transient storage models in order to accommodate terms associated with heat transfer. These include surface heat fluxes in the main channel (MC) and STS, heat and mass exchange between the STS and MC, heat and mass exchange between the HTS and MC, and heat exchange due to bed and deeper ground conduction. To estimate the additional parameters associated with a two-zone model, a data collection effort was conducted to provide temperature time series within each zone. Both single-objective and multiobjective calibration algorithms were then linked to the TZTS model to assist in parameter estimation. Single-objective calibrations based on MC temperatures at two different locations along the study reach provided reasonable predictions in the MC and STS. The HTS temperatures, however, were typically poorly estimated. The two-objective calibration using MC temperatures simultaneously at two locations illustrated that the TZTS model accurately predicts temperatures observed in MC, STS, and HTS zones, including those not used in the calibration. These results suggest that multiple data sets representing different characteristics of the system should be used when calibrating complex in-stream models.
机译:本文介绍了两区温度和溶质(TZTS)模型的温度部分的公式化和校准,该模型将瞬态存储分为表面(STS)和地下瞬态存储(HTS)区域。温度的包含要求TZTS模型公式与过去的瞬态存储模型有所不同,以适应与传热相关的条件。这些包括主通道(MC)和STS中的表面热通量,STS和MC之间的热和质量交换,HTS和MC之间的热和质量交换以及由于床层和更深的地面传导而引起的热交换。为了估计与两区域模型相关的其他参数,进行了数据收集工作以提供每个区域内的温度时间序列。然后将单目标和多目标校准算法都链接到TZTS模型,以帮助进行参数估计。基于研究范围内两个不同位置的MC温度的单目标校准可在MC和STS中提供合理的预测。但是,HTS温度通常估算不佳。在两个位置同时使用MC温度进行的两目标校准表明,TZTS模型可以准确预测在MC,STS和HTS区域中观察到的温度,包括未在校准中使用的温度。这些结果表明,在校准复杂的流内模型时,应使用代表系统不同特征的多个数据集。

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