一个巨大的长江数字孪生兄弟如何在中国防止洪水

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

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引用次数: 0

摘要

该项目将天气、水流和能源需求数据交织在一起，创建了整个河流流域的三维模型，使研究人员和其他人员能够实时做出水资源管理决策。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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

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. 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.