How a vast digital twin of the Yangtze River could prevent flooding in China

• 成果类型: Editorial Material
• 署名作者: Wang, Xiaopeng; Wu, Biqiong; Zhou, Guoliang; Wang, Tao; Meng, Fanwei; Zhou, Li; Cao, Hui; Tang, Zhengyang
• 署名单位: China Three Gorges University; China University of Mining & Technology; Sichuan University
• 刊物名称: Nature
• ISSN/ISSBN: 0028-2462
• DOI: 10.1038/d41586-025-00720-0
• 发表日期: 2025-03-13
• 页码: 303-305
• 关键词: water

摘要

A project that intertwines data on weather, water flow and energy demand to create a 3D model of the whole river basin would enable researchers and others to make water-management decisions in real time.