Predicting Tunnel Groundwater Inflow by Geological Investigation Using Horizontal Directional Drilling Technology

Liu, Xialin

doi:10.1155/2022/6578331

Cited by 3 publications

(1 citation statement)

References 5 publications

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“…Chen [25] accurately predicted the amount of water inflow in the Liupanshan Tunnel by using the underground runoff model. Liu [26] used the groundwater runoff modulus method to estimate the prediction results for tunnel groundwater inflow.…”

Section: Introductionmentioning

confidence: 99%

Water Inflow Amount Prediction for Karst Tunnel with Steady Seepage Conditions

et al. 2023

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Tunnel engineering is an important aspect of developing and utilizing underground spaces. Tunnel water inrush became a common problem that restricts the safe and efficient construction of tunnels. This paper focuses on a karst water-rich tunnel in Chongqing and establishes a seepage field distribution model around the tunnel, analyzing the evolution law of the seepage field. The water balance method and underground runoff modulus method are used to predict tunnel water inflow. The prediction method for tunnel water inflow in water-rich karst areas is combined with long-term on-site tunnel hydrology observations. The distribution of groundwater in front of the tunnel face is drawn using the software, successfully predicting the larger karst area in front of the face. The prediction of water inrush risk level for karst tunnels is carried out using the SVR model. An expression formula for the water head around the tunnel is established by using the conformal mapping relationship, and the distribution status of the seepage field around the tunnel is ultimately determined. The overall prediction accuracy of the underground runoff modulus method is better than that of the water balance method in predicting the water inrush volume of the tunnel. The prediction of the large karst area ahead of the heading is successfully achieved by using the SVR model. This prediction method can provide reference and guidance for the construction of other karst-rich water tunnels in the region.

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Section: Introductionmentioning

confidence: 99%

Water Inflow Amount Prediction for Karst Tunnel with Steady Seepage Conditions

et al. 2023

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Identifying suitable boreholes for irrigation in the bedrock regions of the Sahel

Keïta,

Faye,

Hayde

et al. 2024

Irrigation and Drainage

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This study addresses the critical challenge of optimizing borehole drilling techniques and predictive models to improve groundwater utilization for irrigation in Burkina Faso. Initially, the analysis involved drilling 22 boreholes as part of a photovoltaic micro‐sprinkler irrigation project (PRECIS), with only 11 deemed suitable for irrigation, highlighting the difficulty in achieving the required flow rate of 5 m3/h. To enhance the robustness of the study, additional data from 205 high‐yield boreholes provided by the Office National de l'Eau et de l'Assainissement (ONEA) were incorporated. These boreholes, primarily intended for potable water supply, had flow rates often exceeding 5 m3/h. This extensive dataset was crucial in identifying significant predictors of the project flow rate (Qproj), including the flow rate at the end of drilling (QEndBorh) and lithological factors. The predictive model combining QEndBorh and lithological data explained 73.7% of the variance in Qproj, with an adjusted coefficient of determination (R2adj) of 72.4%. The CART (classification and regression tree) regression model effectively identified branches with flow rates suitable for irrigation, such as Terminal Node 3 with a predicted Qproj of 6.67 m3/h and Terminal Node 4 with a predicted Qproj of 10.5 m3/h, demonstrating the model's robustness. These findings underscore the necessity of detailed lithological assessments and advanced predictive modelling to ensure efficient and reliable borehole drilling for irrigation purposes in regions with complex geological conditions.

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Study of biocementation treatment to prevent erosion by concentrated water flow in a small-scale sand slope

Rodríguez

Cardoso²

2022

Transportation Geotechnics

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Predicting Tunnel Groundwater Inflow by Geological Investigation Using Horizontal Directional Drilling Technology

Cited by 3 publications

References 5 publications

Water Inflow Amount Prediction for Karst Tunnel with Steady Seepage Conditions

Water Inflow Amount Prediction for Karst Tunnel with Steady Seepage Conditions

Identifying suitable boreholes for irrigation in the bedrock regions of the Sahel

Study of biocementation treatment to prevent erosion by concentrated water flow in a small-scale sand slope

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