流域防汛智慧化总体框架建设及实施路径研究
CSTR:
作者:
作者单位:

作者简介:

谭尧耕(1993—),男,湖北宜昌人,博士,工程师,主要从事水文监测与情报预报工作。E-mail:yaogengtan@mwr.gov.cn

通讯作者:

中图分类号:

TV882;TP391.98

基金项目:

国家重点研发计划项目(2021YFB3900600)


Research on construction and implementation path of the overall framework forintelligent flfl ood control in river basins
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    为大力推进智慧水利和数字孪生流域建设,在防洪减灾领域需要构建流域防汛智慧化总体框架并研究实施路径,进而推动新阶段水利高质量发展。分析流域防汛智慧化建设过程中涉及的防汛业务应用智能化水平和应用系统建设水平等现状,从打造智慧化防洪“四预”体系、建设“三算”能力提升体系等方面构建我国防汛智慧化总体框架,并从优化提升洪水监测预报能力、加强洪水模拟推演和防洪调度模拟仿真技术应用、提升洪水风险管理与科学精准决策能力等方面提出具体实施路径。研究成果能为水利部门开展智慧化流域防洪业务、流域防洪规划修编提供技术支撑和对策参考。

    Abstract:

    In order to vigorously advance the development of intelligent water conservancy and digital twin basins,it is necessary to establish an overarching framework for intelligent flood control in river basins and study itsimplementation path in the field of flood prevention and disaster reduction. This research aims to promote thehigh-quality development of water conservancy in a new era,which analyzes the current status of intelligencelevels in flood control applications and the construction of application systems within the process of intelligentflood control in river basins. It proposes establishing a comprehensive framework for smart flood control,encompassing a“four pre”system for smart flood prevention,and a“three calculations”capability enhancementsystem. Additionally,specific implementation pathways are suggested,focusing on improving flood monitoringand forecasting capabilities,enhancing flood simulation and control technologies,and augmenting flood riskmanagement and decision-making capabilities,etc. The research fi ndings can provide technical support and strategicguidance for water conservancy departments in implementing intelligent flood control business and revising floodcontrol plans.

    参考文献
    相似文献
    引证文献
引用本文

谭尧耕,王金星,张怡雯.流域防汛智慧化总体框架建设及实施路径研究[J].水利信息化,2024(2):1-7.

复制
分享
相关视频

文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2023-08-31
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2024-04-25
  • 出版日期:
文章二维码