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Estimation of vertical water flow in slopes from high-resolution temperature profiles
https://orcid.org/0000-0002-7139-4807
https://orcid.org/0000-0001-7373-8266
Abstract Vertical water flow is a decisive factor for slope stability and instability, but its characterization in the field remains a challenge. Quantifying flow rates in slopes is commonly impeded by insufficient resolution during field investigations or the limited insight obtained from near-surface geophysical methods. This study aims to develop a convenient method to investigate vertical water flow in slopes on the sub-meter scale. We present a numerical method to estimate flow rates based on temperature–depth profiles. In order to account for typical small-scale variabilities and complex boundary conditions in slopes, these profiles are obtained by high-resolution temperature measurements with passive distributed temperature sensing (passive-DTS). The transient heat tracing data is inverted in space and time to derive trends of perturbing vertical flow. The method is successfully validated in a laboratory tank with a series of experiments under well-controlled hydraulic and temperature boundary conditions. It is demonstrated that upward and downward flow rates greater than 1.0 × $ 10^{−6} $ m·$ s^{−1} $ can be properly estimated, and the influence of moving water on the thermal profiles can be identified even to a flow rate of 1.0 × $ 10^{−7} $ m·$ s^{−1} $.
Estimation of vertical water flow in slopes from high-resolution temperature profiles
https://orcid.org/0000-0002-7139-4807
https://orcid.org/0000-0001-7373-8266
Abstract Vertical water flow is a decisive factor for slope stability and instability, but its characterization in the field remains a challenge. Quantifying flow rates in slopes is commonly impeded by insufficient resolution during field investigations or the limited insight obtained from near-surface geophysical methods. This study aims to develop a convenient method to investigate vertical water flow in slopes on the sub-meter scale. We present a numerical method to estimate flow rates based on temperature–depth profiles. In order to account for typical small-scale variabilities and complex boundary conditions in slopes, these profiles are obtained by high-resolution temperature measurements with passive distributed temperature sensing (passive-DTS). The transient heat tracing data is inverted in space and time to derive trends of perturbing vertical flow. The method is successfully validated in a laboratory tank with a series of experiments under well-controlled hydraulic and temperature boundary conditions. It is demonstrated that upward and downward flow rates greater than 1.0 × $ 10^{−6} $ m·$ s^{−1} $ can be properly estimated, and the influence of moving water on the thermal profiles can be identified even to a flow rate of 1.0 × $ 10^{−7} $ m·$ s^{−1} $.
Estimation of vertical water flow in slopes from high-resolution temperature profiles
https://orcid.org/0000-0002-7139-4807
https://orcid.org/0000-0001-7373-8266
Abstract Vertical water flow is a decisive factor for slope stability and instability, but its characterization in the field remains a challenge. Quantifying flow rates in slopes is commonly impeded by insufficient resolution during field investigations or the limited insight obtained from near-surface geophysical methods. This study aims to develop a convenient method to investigate vertical water flow in slopes on the sub-meter scale. We present a numerical method to estimate flow rates based on temperature–depth profiles. In order to account for typical small-scale variabilities and complex boundary conditions in slopes, these profiles are obtained by high-resolution temperature measurements with passive distributed temperature sensing (passive-DTS). The transient heat tracing data is inverted in space and time to derive trends of perturbing vertical flow. The method is successfully validated in a laboratory tank with a series of experiments under well-controlled hydraulic and temperature boundary conditions. It is demonstrated that upward and downward flow rates greater than 1.0 × $ 10^{−6} $ m·$ s^{−1} $ can be properly estimated, and the influence of moving water on the thermal profiles can be identified even to a flow rate of 1.0 × $ 10^{−7} $ m·$ s^{−1} $.
Estimation of vertical water flow in slopes from high-resolution temperature profiles
Zhang, Bo (author) / Gu, Kai (author) / Bayer, Peter (author) / Xiang, Fulin (author) / Wei, Zhuang (author) / Wang, Baojun (author) / Shi, Bin (author)
2022
Article (Journal)
Electronic Resource
English
BKL:
56.00$jBauwesen: Allgemeines
/
38.58
Geomechanik
/
38.58$jGeomechanik
/
56.20
Ingenieurgeologie, Bodenmechanik
/
56.00
Bauwesen: Allgemeines
/
56.20$jIngenieurgeologie$jBodenmechanik
RVK:
ELIB18
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