Abstract:To respond to the national “dual-carbon” strategy and address the core challenges of high carbon emissions, extensive management, and insufficient regional adaptability in water conservancy project construction in Anhui Province, this study was guided by the green development concept and integrated life-cycle theory with BIM-Internet of Things–blockchain technologies to establish a closed-loop low-carbon management model covering precise carbon footprint tracking, intelligent optimization of low-carbon schemes, real-time feedback through dynamic monitoring, and continuous improvement through performance evaluation. In view of the engineering characteristics of the Jianghuai, Huaibei, and Yangtze River regions of Anhui Province, multidimensional collaborative optimization strategies involving engineering technologies, management mechanisms, and policy support were designed, and a regionally adaptive carbon emission accounting model was optimized, achieving an accounting accuracy of 95.8%. Taking the Yangtze-to-Huaihe Water Diversion Project (Lujiang Section) as an empirical case, a 24-month comparative validation between the experimental and control groups demonstrated that the low-carbon management model reduced total carbon emissions during the construction stage by 19.7%, decreased energy consumption intensity by 23.2%, improved management efficiency by more than 35%, and achieved net cost savings of CNY 43 million. The findings establish a low-carbon management paradigm for water conservancy projects featuring both technological advancement and regional adaptability, improve the regional green transformation technology system for water conservancy, and provide a replicable and scalable pathway for low-carbon development in the national water conservancy sector.