测绘通报 ›› 2024, Vol. 0 ›› Issue (2): 32-38.doi: 10.13474/j.cnki.11-2246.2024.0206

• 学术研究 • 上一篇    下一篇

湿地数字孪生技术及其应用综述

曹许悦1,2,3,4, 孙永华1,2,3,4, 王衍昭1,2,3,4, 王一涵1,2,3,4, 成星露1,2,3,4, 张王宽1,2,3,4   

  1. 1. 首都师范大学水资源安全北京实验室, 北京 100048;
    2. 首都师范大学资源环境与旅游学院, 北京 100048;
    3. 首都师范大学城市环境过程与数字模拟国家重点实验室培育基地, 北京 100048;
    4. 教育部三维信息获取与应用重点实验室, 北京 100048
  • 收稿日期:2023-07-17 发布日期:2024-03-12
  • 通讯作者: 孙永华。E-mail:sunyonghua@cnu.edu.cn
  • 作者简介:曹许悦(1998—),女,硕士生,主要研究方向为GIS系统开发与应用和数字孪生。E-mail:2220902108@cnu.edu.cn

Wetland digital twin technology and its application

CAO Xuyue1,2,3,4, SUN Yonghua1,2,3,4, WANG Yanzhao1,2,3,4, WANG Yihan1,2,3,4, CHENG Xinglu1,2,3,4, ZHANG Wangkuan1,2,3,4   

  1. 1. Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing 100048, China;
    2. College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China;
    3. State Key Laboratory of Urban Environmental Processes and Digital Simulation, Capital Normal University, Beijing 100048, China;
    4. Key Laboratory of 3D Information Acquisition and Application, Ministry of Education, Beijing 100048, China
  • Received:2023-07-17 Published:2024-03-12

摘要: 湿地为自然界提供着巨大的生态服务功能,对维持区域、国家生态安全和促进可持续发展具有重要意义。数字孪生技术则为湿地的研究提供了一种新的方法和工具,既有助于理解湿地生态系统的运行机制,又可以推进湿地研究的智能化进程。本文将湿地特征与数字孪生技术相结合,研究分析了湿地数字孪生系统的构建可从湿地信息监测层、湿地信息处理层、湿地模型分析层和湿地应用交互层4个方面进行,从而实现信息化、数字化和智能化高度融合的湿地数字孪生系统。介绍了建立湿地数字孪生系统的关键技术,主要包括实时监测技术、高性能数据处理技术、复杂湿地模型和可视化交互技术等。从湿地资源动态监测、湿地分类、湿地生态系统评估、湿地旅游、湿地规划和管理5个方面探讨了数字孪生技术在湿地研究中的应用,并讨论了构建湿地数字孪生当前存在的问题,主要包括多源数据的融合、复杂湿地建模与优化、湿地多元场景可视化等,以期为数字孪生在湿地研究中进一步发展和应用提供参考。

关键词: 数字孪生, 湿地研究, 系统架构, 湿地应用, 关键技术

Abstract: Wetlands provide enormous ecological services function for nature, which is an essential component for maintaining regional and national ecological security and promoting sustainable development. Digital twin technology provides a new method and tool for wetland research, which can achieve comprehensive digital virtualization of wetlands, real-time visualization of the entire process and collaborative intelligence of management decisions. It not only helps to understand the operational mechanism of wetland ecosystems, but also promotes the intelligent process of wetland research. In this paper, the characteristics of wetlands and digital twin technology are combined to study and analyze the construction of wetland digital twin systems from four aspects: wetland information monitoring layer, wetland information processing layer, wetland model analysis layer, and wetland application interaction layer, so as to achieve a highly integrated wetland digital twin system with informatization, digitalization and intelligence. Then, the key technologies of establishing a digital twin system for wetlands are introduced, including real-time monitoring technology, high performance data processing technology, complex wetland models, and visual interaction technology. In addition, the application of digital twin technology in wetland research was explored from five aspects: dynamic monitoring of wetland resources, wetland classification, wetland ecosystem assessment, wetland tourism, wetland planning and management. What's more, the current existing problems in the construction of wetland digital twin were discussed, including the fusion of multi-source data, complex wetland modeling and optimization, and visualization of wetland multiple scenes. It is expected that relevant work can provide reference for the further development and implementation of digital twin in wetland research.

Key words: digital twin, wetland research, system architecture, wetland application, key technology

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