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Assessing the Impact of a Heated Basement on Groundwater Temperatures in Bratislava, Slovakia
Ground Water ( IF 2.0 ) Pub Date : 2020-02-21 , DOI: 10.1111/gwat.12986
David Krcmar 1 , Renata Flakova 1 , Ivana Ondrejkova 1 , Kamila Hodasova 1 , Daniela Rusnakova 1 , Zlatica Zenisova 1 , Martin Zatlakovic 2
Affiliation  

Groundwater temperature is a useful hydrogeological parameter that is easy to measure and can provide much insight into groundwater flow systems, but can be difficult to interpret. For measuring temperature directly in the ground, dedicated specifically designed monitoring wells are recommended since conventional groundwater wells are not optimal for temperature monitoring. Multilevel monitoring of groundwater temperature is required to identify contributions of different possible heat inputs (sources) on measured temperature signals. Interpreting temperature data as a cosine function, including period, average temperature, amplitude, and phase offset, is helpful. Amplitude dampening and increasing phase shift with distance from a boundary can be used for estimation of transport parameters. Temperature measurements at different depths can be used for evaluation of unknown parameters of analytical functions by optimization of regression fits in Python. These estimated parameters can be used to calculate temperatures at known water table depths which can be applied as a fixed transient boundary condition in MT3DMS to overcome the limitations of MT3DMS heat transport modeling in the unsaturated zone. In this study, temperature monitoring and modeling was used to evaluate the influence of a department store's heated basement foundation on groundwater temperature within a green space (city park), with the main outcome that 17 years after construction, the department store foundation has increased the mean groundwater temperature by 3.2 °C. Heat input evaluated by the MT3DMS model varied from 0.1 W/m2 at a distance of 100 m up to 12 W/m2 next to the building.

中文翻译:

在斯洛伐克布拉迪斯拉发评估地下室受热对地下水温度的影响

地下水温度是一种有用的水文地质参数,易于测量,可以深入了解地下水流系统,但可能难以解释。为了直接在地下测量温度,建议使用专用的专门设计的监测井,因为常规的地下水井并不是温度监测的最佳选择。需要对地下水温度进行多级监控,以识别不同的可能热量输入(源)对测得的温度信号的影响。将温度数据解释为余弦函数,包括周期,平均温度,幅度和相位偏移,将很有帮助。振幅衰减和随着距边界的距离而增加的相移可用于估计传输参数。通过优化Python中的回归拟合,可以将不同深度的温度测量结果用于评估解析函数的未知参数。这些估计的参数可用于计算已知水位深度的温度,该温度可用作MT3DMS中的固定瞬态边界条件,以克服非饱和区MT3DMS传热建模的局限性。在这项研究中,温度监控和建模被用于评估百货公司加热地下室基础对绿色空间(城市公园)内地下水温度的影响,其主要结果是,在建设17年后,百货商店基础增加了平均地下水温度为3.2°C。MT3DMS模型评估的热量输入为0.1 W / m 这些估计的参数可用于计算已知水位深度的温度,该温度可用作MT3DMS中的固定瞬态边界条件,以克服非饱和区MT3DMS传热建模的局限性。在这项研究中,温度监控和建模被用于评估百货公司加热地下室基础对绿色空间(城市公园)内地下水温度的影响,其主要结果是,在建设17年后,百货商店基础增加了平均地下水温度为3.2°C。MT3DMS模型评估的热量输入为0.1 W / m 这些估计的参数可用于计算已知水位深度的温度,该温度可用作MT3DMS中的固定瞬态边界条件,以克服非饱和区MT3DMS传热建模的局限性。在这项研究中,温度监控和建模被用于评估百货公司加热地下室基础对绿色空间(城市公园)内地下水温度的影响,其主要结果是,在建设17年后,百货商店基础增加了平均地下水温度为3.2°C。MT3DMS模型评估的热量输入为0.1 W / m s地下室的加热基础是绿色空间(城市公园)中地下水的温度,其主要结果是,在施工17年后,百货商店的基础将平均地下水温度提高了3.2°C。MT3DMS模型评估的热量输入为0.1 W / m s地下室的加热基础是绿色空间(城市公园)中地下水的温度,其主要结果是,在施工17年后,百货商店的基础将平均地下水温度提高了3.2°C。MT3DMS模型评估的热量输入为0.1 W / m2距离建筑物100 m处最大12 W / m 2
更新日期:2020-02-21
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