水文2024,Vol.44Issue(5) :1-9,105.DOI:10.19797/j.cnki.1000-0852.20240075

汉口水文站AI流量模型构建及应用研究

Research on the Construction and Application of AI Discharge Model for Hankou Hydrological Station

周波 邓山 陆鹏程 毛北平 魏猛
水文2024,Vol.44Issue(5) :1-9,105.DOI:10.19797/j.cnki.1000-0852.20240075

汉口水文站AI流量模型构建及应用研究

Research on the Construction and Application of AI Discharge Model for Hankou Hydrological Station

周波 1邓山 1陆鹏程 2毛北平 3魏猛3
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作者信息

  • 1. 长江水利委员会水文局,湖北武汉 430010
  • 2. 水利部水文司,北京 100053
  • 3. 长江水利委员会水文局长江中游水文水资源勘测局,湖北武汉 430014
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摘要

为进一步提升水文站实时推流的稳定性及精度,在开展测站特性分析的基础上,提出一种基于人工智能算法的河流流量在线推求新方法.经汉口水文站实践应用表明,无论是建模精度还是泛化精度,均达到了一类精度站水平,且具有较高稳定性.研究成果具有较高的推广价值,可为水文测站业务的智能化升级提供科学参考.

Abstract

To further improve the stability and accuracy of real-time flow prediction at hydrological stations,a new method for online river flow prediction based on artificial intelligence algorithms was proposed based on the analysis of station characteristics.The practical application of Hankou Hydrological Station has shown that both modeling accuracy and generalization accuracy have reached the level of a first-class accuracy station with high stability.The research results are well worth spreading and can provide scientific references for the intelligent upgrading of hydrological station services.

关键词

数字孪生/人工智能/河流流量/精度评价

Key words

digital twin/artificial intelligence/river discharge/accuracy evaluation

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出版年

2024
水文
水利部水文局 水利部水利信息中心

水文

CSTPCDCSCD北大核心
影响因子:0.742
ISSN:1000-0852
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