Abstract:
The concept of digital twin is originated from aerospace technology which aims to monitoring the physical processes of the machinery. After many years development, not only its concept but also its scope has been strongly extended which brings many opportunities for other industries. In theory, the digital technologies are able to represent the microscopic process of any objects, which can improve the user’s understanding of the progress and give chance to the user to control the occurrence and development of the object's process. However, in the water industry, especially the flood management in large-scaled catchment, how to introduce the digital technologies into the current working process and system and what kind of added values can it bring has became a hot top in the discussion among many water committees. On one hand, in large catchments, many physical process in water cycle are still unclear and difficult to find the way to well represent in the computer, on another hand, the core point in the current working process of the flood defense is more focus on the monitoring of macroscopic state of the catchment. One BIM model or even several specific models cannot fix with the requirement of current managers. Therefore, how to balance the macroscopic demands and the microscopic outputs is the core challenges in the digital application of the flood management in large-scaled catchment. With the application in Haihe River Basin (around 320,600 km2) in China, a new system framework and modelling strategy is presented in this paper, which indicates the added values produced by new digital technologies in the smodelling analysis of β€_x009c_23Β·7β€_x009d_ catastrophic flood disaster. The system was just setted up and used in the daily work of current managers in China. The operational strategy presented in this paper can be migrated to other large-scaled catchments in the world. Β© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
