摘要
安康水库是汉江上游流域主要控制型水库,对汉江上游的防洪起着决定性的作用,所以安康水库洪水预报准确性将影响汉江上游防洪的决策。为此研究了基于LSTM的智能化洪水预报模型,并开发了基于B/S模式的系统软件,通过与传统的新安江模型比较,得到了更为满意的结果,表明研究的模型及开发的系统软件在水文预报领域具有先进性。
Ankang Reservoir is the main control reservoir in the upper reaches of Hanjiang River,which plays a critical role in flood prevention.The accuracy of flood forecast for Ankang Reservoir will affect the flood control decision of the upper reaches of Hanjiang River.An intelligent flood forecast model based on the long short-term memory(LSTM)is proposed and a system software based on the Browser/Server(B/S)model is developed.Compared with the traditional Xin'anjiang hydrological model,more satisfactory results are obtained by the intelligent flood forecast system.The results show that the proposed flood forecast model and the developed system software are of certain advantages in the hydrological forecasting field.
作者
何伟
石静涛
万俊
万飚
于耀翔
HE Wei;SHI Jingtao;WAN Jun;WAN Biao;YU Yaoxiang(Ankang Hydropower Plant, Ankang 725000, China;State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China)
出处
《水电与新能源》
2021年第8期1-6,共6页
Hydropower and New Energy
基金
国家电网陕西省电力公司科技项目资助(合同号:SGSNSD00SCJS2000088)。
关键词
安康水库
深度学习
智能化
洪水预报
系统软件
Ankang Reservoir
deep learning
intellectualization
flood forecast
system software