Abstract:
The digital twin river is an inter-response relationship constructed between natural and management elements of a river, which is developed based on data-platform that integrates multi-source information such as spatial data, meteorological, hydrological, environmental data etc., using hybrid models that coupling physically-based mathematical models with data-driven approaches such as machine learning and knowledge graph, to realize the real-time mirroring of the whole process of water flow, information flow, application flow and value flow of the river, therefore to provide technical support for river management and the high-quality development of the river basin. Taking the application of flood management in the Changjiang River Basin as an example, aiming to realize the functionalities of river simulation, forecast and early warning, intelligent water engineering regulation, dynamic flood risk assessment, and system construction, the paper presents the framework for developing the digital twin river and its key technologies including the construction of data, models, intelligence and platform. The research results have been applied in the construction of the digital twin Changjiang River, and has obtained the complete processes for the intelligent regulation of engineering works for flood management, including"flood forecasting-early warning-rehearsals-pre-planning", and has provided technical support in 2020 the basin-scale flood management. The research results can provide demonstration and experience reference for the construction of digital twin river. Β© 2022, China Water Power Press. All right reserved.
