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

IF 50.5 1区综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES

Nature Pub Date : 2025-03-11 DOI:10.1038/d41586-025-00720-0

Xiaopeng Wang, Biqiong Wu, Guoliang Zhou, Tao Wang, Fanwei Meng, Li Zhou, Hui Cao, Zhengyang Tang

引用次数: 0

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.

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来源期刊

Nature 综合性期刊-综合性期刊

CiteScore

90.00

自引率

1.20%

发文量

3652

审稿时长

3 months

期刊介绍： Nature is a prestigious international journal that publishes peer-reviewed research in various scientific and technological fields. The selection of articles is based on criteria such as originality, importance, interdisciplinary relevance, timeliness, accessibility, elegance, and surprising conclusions. In addition to showcasing significant scientific advances, Nature delivers rapid, authoritative, insightful news, and interpretation of current and upcoming trends impacting science, scientists, and the broader public. The journal serves a dual purpose: firstly, to promptly share noteworthy scientific advances and foster discussions among scientists, and secondly, to ensure the swift dissemination of scientific results globally, emphasizing their significance for knowledge, culture, and daily life.