Generic Ontologies for Digital Watersheds

Author:

Tang Hailin1ORCID,Feng Jun1ORCID,Zhou Siyuan1ORCID

Affiliation:

1. Key Laboratory of Water Big Data Technology of Ministry of Water Resources, Hohai University, China

Publisher

ACM

Reference11 articles.

1. W Li, Y Zhai. Concept, Key Technologies and Challenges of Digital Twin Riverbasin, in Proceedings of the 2022 IEEE 12th International Conference on Electronics Information and Emergency Communication (ICEIEC), IEEE, 2022, pp. 117-122.

2. Synchronization-Enhanced Deep Learning Early Flood Risk Predictions: The Core of Data-Driven City Digital Twins for Climate Resilience Planning

3. Urban Flood Disaster Assessment and Early Warning System Analysis Based on Digital Twin Technology;Li;Journal of Beijing University of Technology,2022

4. Prevention in the Yangtze River;Huang;Journal of Hydraulic Engineering,2022

5. A New Digital Twin for Climate Change Adaptation, Water Management, and Disaster Risk Reduction (HIP Digital Twin)

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