Use of Recurrent Neural Network with Long Short-Term Memory for Seepage Prediction at Tarbela Dam, KP, Pakistan

Use of Recurrent Neural Network with Long Short-Term Memory for Seepage Prediction at Tarbela Dam, KP, Pakistan

Estimating the quantity of seepage through the foundation and body of a dam using proper health and safety monitoring is critical to the effective management of disaster risk in a reservoir downstream of the dam. In this study, a deep learning model was constructed to predict the extent of seepage t...

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Bibliographic Details
Main Authors: Dai, Q. (Author), Ishfaque, M. (Author), Jadoon, K. (Author), Janjuhah, H.T (Author), Shahzad, S.M (Author), Ul Haq, N. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Brain
dam seepage
Dam seepage
Dams
deep learning
Deep learning
Down-stream
Effective management
Forecasting
Health and safety
Health monitoring
Health risks
Long short-term memory
LSTM
Mean square error
Neural-networks
Pakistan
prediction
recurrent neural network
Reservoir management
Reservoirs (water)
Risk perception
Safety monitoring
Seepage
Time series
time series data
Time-series data
Water levels
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