Research on water level prediction of inland waterways based on MHA-BiGRU

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  • (1. Key Laboratory of Marine Simulation and Control,Dalian Maritime University,Dalian 116026,China;2. Tianjin Research Institute for Water Transport Engineering, M.O.T.,Tianjin 300456,China)

Received date: 2023-08-06

  Revised date: 2023-10-08

  Accepted date: 2023-10-08

  Online published: 2023-08-06

Abstract

Focusing on the technical problems of inland waterway level prediction in mountainous area,the environmental factors and technical difficulties affecting waterway water level prediction are analyzed,the current technical methods of waterway water level prediction model are summarized, and a new waterway water level prediction model Multi-Head Attention-Bidirectional Gated Recurrent Unit(MHA-BiGRU is innovatively proposed.The multi-head attention mechanism is introduced into GRU model,and the characteristic weights of important factors such as time and space of waterway water level series data are divided by the model, so that the model focuses on the key factors affecting waterway water level change..Taking the downstream of Wujiang River as the research object, the model realizes the establishment of monitoring data set by building a real-time dynamic monitoring station for water level and flow velocity. The parameters such as MAE, RMSE and NSE are selected as evaluation indexes to verify the proposed model. The research results show that the model improves the performance of waterway water level prediction through the application of multi-head attention mechanism and bidirectional cyclic neural network. Compared with traditional classical time series prediction models such as LSTM and GRU, the model has better robustness and higher accuracy. Finally,the model is embedded into the system platform for demonstration application, and the real-time dynamic monitoring and short-term prediction of waterway water level are realized,which has high engineering application value.

Cite this article

MA Ruixin, YIN Yong, BAO Kexin, WANG Yongchao . Research on water level prediction of inland waterways based on MHA-BiGRU[J]. Journal of Dalian Maritime University, 2024 , 50(1) : 46 -56 . DOI: 10.16411/j.cnki.issn1006-7736.2024.01.006

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