数字孪生流域多尺度数据底板构建技术研究OA

To meet the needs of decision-makers in pre-simulations who require a focused analysis of the feasibility of scheduling plans across different scale scenarios,a digital twin watershed multi-scale data base construction technology based on orthorectified texture mapping,an improved semi-global matching algorithm,and an attention-connected cost stereo matching network was proposed.By combining open-source terrain data with low-cost satellite remote sensing data,the construction of data bases for different scales,including large-scale watersheds,medium-scale river segments,and small-scale engineering projects,was achieved.Taking the Yangtze River basin as an example,data bases with resolutions of 500 m for the entire basin,5 m for the section from the Three Gorges to Hankou,and 1 m for the Three Gorges and Gezhouba hydro projects were constructed.This meets the needs of decision-makers in pre-simulations who focus on analyzing the feasibility of scheduling plans from different perspectives,such as watersheds,important river segments,and hydraulic engineering projects.At the same time,it reduces the computational resources required for detailed scene rendering,providing support for intelligent simulation and precise decision-making in watershed flood control operations.The relevant technical achievements presented in this paper can serve as a reference for the construction of data bases in other watersheds.