Results 11 to 20 of about 6,521,310 (287)
Prediction of Water Inflow in Subsea Tunnels under Blasting Vibration [PDF]
The subsea tunnel of Qingdao metro line 1 has been excavated using the drill and blast method. Blasting vibration during tunneling may cause larger water inflow and even severe security risks and considerable economic losses. However, the prediction of water inflow in subsea tunnels under blasting vibration still remains a challenging problem.
Liu, Rentai +6 more
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Accurate prediction of dam inflows is essential for effective water resource management and dam operation. In this study, we developed a multi-inflow prediction ensemble (MPE) model for dam inflow prediction using auto-sklearn (AS).
Seoro Lee +6 more
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BackgroundThe accurate prediction of mine water inflow plays a significant role in the prevention and control of water hazards and the safe and efficient production in coal mines.
Xuan LIU +8 more
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Research and comparative analysis of mine water inflow prediction method:a case study of Donggou Coal Mine in Xinjiang [PDF]
The prediction of mine water inflow is of great significance to the safe production of coal mines. The accurate selection of hydrogeological parameters and the selection of calculation methods have a great influence on the accurate prediction of mine ...
Quanchao ZHOU +7 more
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Water Inflow Amount Prediction for Karst Tunnel with Steady Seepage Conditions
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 ...
Xianmeng Zhang +3 more
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BackgroundAccurate prediction of water inflow in coal mines is essential for ensuring safe mining operations. Three-dimensional (3D) groundwater numerical models can be used to characterize hydrogeological conditions in mining areas and simulate the ...
Qiang JI, Zhenjiang WU, Yingying YAO
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Time series prediction model using LSTM-Transformer neural network for mine water inflow
Mine flooding accidents have occurred frequently in recent years, and the predicting of mine water inflow is one of the most crucial flood warning indicators.
Junwei Shi +3 more
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Uncertainty Analysis Applied to Predicting Water Inflow in Confined Water
Abstract In order to predict the amount of water inflow accurately, define the corresponding water influx response quantitatively in the parameter variation interval, this paper used the interval uncertainty analysis method, combined with the non-probability set theory and derived the predictive formula of confined water inflow under two
Chengcheng Xu, Chuiyu Lu, Jianhua Wang
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Chaos-generalized regression neural network prediction model of mine water inflow
Artificial neural network (ANN) provides a new way for mine water inflow prediction. However, the effectiveness of prediction using ANN model would not be guaranteed if the influencing factors of water inflow are difficult to quantify or there are only a
Jianlin Li +3 more
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Coal resources are one of the important mineral resources in China. In the process of coal mining, due to the complex hydrogeological conditions in the mining area, and ineffective water exploration and discharge, accidents of mine water inrush ...
Yinxian ZOU +5 more
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