Abstract
Ningbo (NGB), a major port city on China’s east coast, is defined by a network of over 100 rivers across three major catchments. From the 1970s to the 2000s, extensive engineering, including channelisation and embankment construction, was used to manage flood risk during rapid urbanisation. Since the 2010s, however, the city has shifted towards smart flood management. The Ningbo government and Water Bureau have deployed digital twins and technologies like 3D flood mapping and real-time monitoring, significantly improving precision. Our study demonstrated that this smart technology performed effectively during recent extreme events, namely typhoons In-Fa (2021) and Muifa (2022), helping the Municipal Bureau to safeguard public safety. This success strengthens municipal and national commitments to climate resilience. Nevertheless, further advancement of the digital twin platform is required. Key priorities include boosting computational capacity, improving cross-departmental coordination, establishing open data sharing, and integrating artificial intelligence (AI) to enhance decision-making during future climate extremes.
| Original language | English |
|---|---|
| Article number | 427 |
| Journal | Water (Switzerland) |
| Volume | 18 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Feb 2026 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
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SDG 13 Climate Action
Free Keywords
- artificial intelligence
- big-data
- climate adaptations
- climate resilience
- digital-twin
- smart flood management
- sponge cities
ASJC Scopus subject areas
- Biochemistry
- Geography, Planning and Development
- Aquatic Science
- Water Science and Technology
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