冶运涛, 蒋云钟, 梁犁丽, 赵红莉, 顾晶晶, 董甲平, 曹引, 段浩. 数字孪生流域: 未来流域治理管理的新基建新范式[J]. 水科学进展, 2022, 33(5): 683-704. DOI: 10.14042/j.cnki.32.1309.2022.05.001
引用本文: 冶运涛, 蒋云钟, 梁犁丽, 赵红莉, 顾晶晶, 董甲平, 曹引, 段浩. 数字孪生流域: 未来流域治理管理的新基建新范式[J]. 水科学进展, 2022, 33(5): 683-704. DOI: 10.14042/j.cnki.32.1309.2022.05.001
YE Yuntao, JIANG Yunzhong, LIANG Lili, ZHAO Hongli, GU Jingjing, DONG Jiaping, CAO Yin, DUAN Hao. Digital twin watershed: new infrastructure and new paradigm of future watershed governance and management[J]. Advances in Water Science, 2022, 33(5): 683-704. DOI: 10.14042/j.cnki.32.1309.2022.05.001
Citation: YE Yuntao, JIANG Yunzhong, LIANG Lili, ZHAO Hongli, GU Jingjing, DONG Jiaping, CAO Yin, DUAN Hao. Digital twin watershed: new infrastructure and new paradigm of future watershed governance and management[J]. Advances in Water Science, 2022, 33(5): 683-704. DOI: 10.14042/j.cnki.32.1309.2022.05.001

数字孪生流域: 未来流域治理管理的新基建新范式

Digital twin watershed: new infrastructure and new paradigm of future watershed governance and management

  • 摘要: 数字孪生流域是数字孪生地球的重要组成部分, 厘清数字孪生流域理论定义和内涵是研究和建设数字孪生流域的前提和基础, 对流域智慧化治理管理具有重要意义。本文基于数字孪生理论技术, 开展了以下研究: ①给出了数字孪生流域的定义, 认为数字孪生流域是以服务流域全生命周期管理的全量数据和领域知识驱动物理流域和虚拟流域交互映射、共智进化、虚实融合的新基建新范式, 并辨析了与传统建模仿真的区别。②数字孪生流域内涵是通过"由实入虚"、"以虚映实"和"由虚控实"实现物理流域对象的全生命周期管控, 特征包括高度保真、演化自治、实时同步、闭环互动和共生进化。③数字孪生流域基本模型由物理流域、虚拟流域、实时连接交互、数字赋能服务、孪生流域数据和孪生流域知识组成, 其核心能力包括物理流域感知操控、全要素数字化表达、实景可视动态呈现、流域数据融合供给、流域知识融合供给、流域模拟仿真推演及孪生自主学习优化。④提出数字孪生流域要解决的关键科学问题和关键技术体系, 并从感知网、数据网、知识网、模型网及服务网展望了数字孪生流域发展方向, 阐述了数字孪生流域的赋能领域。本文旨在通过数字孪生流域理论新型研究范式为数字孪生流域技术应用落地提供理论指导, 对未来智慧流域研究和数字技术在流域治理管理中的应用提供有益的启发与借鉴。

     

    Abstract: The digital twin watershed is an important part of the digital twin earth. Clarifying the theoretical definition and connotation of the digital twin watershed is the premise and foundation for the research and construction of the digital twin watershed, and it is of great significance for the intelligent management of the watershed. Based on the digital twin theory and technology, the following research has been carried out in this paper. ① The definition of a digital twin watershed is given, and it is considered that a digital twin watershed is a new infrastructure and new paradigm serving the entire life-cycle management of the watershed, which is the interactive mapping, co-intelligence evolution, and virtual reality integration between physical and virtual watersheds driven by the full amount of data and domain knowledge, and the differences between a digital twin watershed and traditional modeling and simulation are analyzed. ② The connotation of a digital twin watershed is to realize the full life-cycle control of physical watershed objects by loading the physical watershed into the virtual watershed, mapping the physical watershed with the virtual watershed, and then managing and controlling the physical watershed using the virtual watershed. Its characteristics include high fidelity, evolution autonomy, real-time synchronization, closed-loop interaction, and symbiotic evolution. ③ The basic model of a digital twin watershed is composed of a physical watershed, a virtual watershed, the real-time connection and interaction, the digital enabling service, the twin watershed data, and the twin watershed knowledge. Its core capabilities include physical watershed perception and control, digital expression of all of the water-related elements, visual dynamic presentation of real scene, watershed data fusion supply, watershed knowledge fusion supply, watershed simulation and deduction, and self-learning and optimization of digital twin watershed. ④ This paper puts forward the key scientific problems and key technical systems to be solved in the digital twin watershed, and looks forward to the development direction of the digital twin watershed from the perspective of a perception network, data network, knowledge network, model network, and service network, and expounds the enabling field of the digital twin watershed. This paper aims to provide theoretical guidance for the application of digital twin watershed technology through the new research paradigm of digital twin watershed theory and to provide useful inspiration and reference for future smart watershed research and the application of digital technology in watershed governance and management.

     

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