Abstract：With the acceleration of urbanization and the increasing impact of climate change, traditional water resource planning and management models face challenges such as data fragmentation, poor coordination, and delayed decision-making when addressing complex issues like urban flooding and water scarcity. Smart water resource management is a crucial component of smart cities, requiring the integration of multi-source data and advanced models to enhance planning scientificity and decision-making precision. The City Information Model (CIM), which integrates geographic information, building data, and IoT sensing data, serves as a three-dimensional digital foundation, offering a new technological approach to addressing these challenges. This paper primarily explores the integrated application of CIM in the field of smart water resource management, aiming to discuss the integration of hydrological, pipe network, terrain, and real-time monitoring data based on the CIM platform, and the construction of a decision support framework that couples hydrodynamic models with spatial analysis functions.
张明昭 Mingzhao Zhang (Wed,) studied this question.