Digital twinning of river basins towards full-scale, sustainable and equitable water management and disaster mitigation

Digital twins are transforming the paradigm of water management and water hazard mitigation globally, facilitating more effective governance. However, comprehensive digitalisation at the basin scale still faces major challenges in data, modelling, policy incentives, and, most critically, widespread inequity. This article outlines a framework for building widely applicable digital-twin basins and addressing the main obstacles. Ensuring high-quality water data requires more comprehensive and well-controlled data aggregation and provision protocols. Significant improvements to the existing data infrastructure are necessary to support this effort. Most existing water models are not effectively integrated and do not include multi-physics to reflect all essential correlated physical processes at the basin scale. The current advancement in physics-informed data-driven approaches may provide a solution. Furthermore, global initiatives are critical to reducing major inequity in less developed regions, particularly the Global South, during digitalisation. It is imperative that researchers, practitioners and policymakers take decisive actions to prioritise research and allocate resources to foster transboundary collaborations towards integrated and extensive digital-twin basin systems, promoting the sustainability and resilience of global water resources.

Authors

Institutions

Publication Details

Journal
npj natural hazards.
Published
2024-12-13
DOI
https://doi.org/10.1038/s44304-024-00047-2
Citations
19
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
5.37

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Digital twinning of river basins towards full-scale, sustainable and equitable water management and disaster mitigation

Yifan Yang, Chen Xie, Bruce W. Melville, Zhonghou Xu et al.
19 citations
npj natural hazards.
Flood Risk Assessment and Management
5.37
article

Digital twinning of river basins towards full-scale, sustainable and equitable water management and disaster mitigation

Yifan Yang, Chen Xie, Bruce W. Melville, Zhonghou Xu, Lei Hong, Ziwu Fan, Guoqing Liu
article en
19 citations

Abstract

Digital twins are transforming the paradigm of water management and water hazard mitigation globally, facilitating more effective governance. However, comprehensive digitalisation at the basin scale still faces major challenges in data, modelling, policy incentives, and, most critically, widespread inequity. This article outlines a framework for building widely applicable digital-twin basins and addressing the main obstacles. Ensuring high-quality water data requires more comprehensive and well-controlled data aggregation and provision protocols. Significant improvements to the existing data infrastructure are necessary to support this effort. Most existing water models are not effectively integrated and do not include multi-physics to reflect all essential correlated physical processes at the basin scale. The current advancement in physics-informed data-driven approaches may provide a solution. Furthermore, global initiatives are critical to reducing major inequity in less developed regions, particularly the Global South, during digitalisation. It is imperative that researchers, practitioners and policymakers take decisive actions to prioritise research and allocate resources to foster transboundary collaborations towards integrated and extensive digital-twin basin systems, promoting the sustainability and resilience of global water resources.

npj natural hazards.Vol. 1(1)
University of Auckland (NZ), Wuhan University (CN), Nanjing Hydraulic Research Institute (CN), National Institute of Water and Atmospheric Research (NZ)
National Key Research and Development Program of China
Climate action
Openalex Percentile: Top 4%
Flood Risk Assessment and Management
5.37
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.