How a vast digital twin of the Yangtze River could prevent flooding in China
Xiaopeng Wang (),
Biqiong Wu,
Guoliang Zhou,
Tao Wang,
Fanwei Meng (),
Li Zhou (),
Hui Cao and
Zhengyang Tang
Nature, 2025, vol. 639, issue 8054, 303-305
Abstract:
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.
Keywords: Environmental sciences; Hydrology; Databases; Information technology (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.nature.com/articles/d41586-025-00720-0 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:639:y:2025:i:8054:d:10.1038_d41586-025-00720-0
Ordering information: This journal article can be ordered from
https://www.nature.com/
DOI: 10.1038/d41586-025-00720-0
Access Statistics for this article
Nature is currently edited by Magdalena Skipper
More articles in Nature from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().