首页|期刊导航|中国水利水电科学研究院学报(中英文)|流域产汇流及洪水预报模型(Sky-RyCF)软件平台研发与应用

流域产汇流及洪水预报模型(Sky-RyCF)软件平台研发与应用OA

Development and application of the Sky-RyCF software platform for watershed runoff and flood forecasting

中文摘要英文摘要

为支撑数字孪生流域建设与智慧水利发展,针对当前水文模型物理机制薄弱、功能单一、适应性不足及多模型松散耦合效率低等问题,本研究基于中国水利水电科学研究院自主研发的模型体系,研发了集成气象预报-流域产汇流-洪水预报-水库调度全链条、通用化的流域产汇流及洪水预报模型软件平台(Runoff Yield and Concen-tration in Watersheds and Flood Forecast Model,Sky-RyCF).该软件以"自然-社会"二元水循环理论为主线,通过标准化接口深度融合了数值气象预报、分布式产汇流、时空变源产流、一二维水动力洪水演进、社会水循环及多目标调度等核心模块,构建了支持多模型耦合集成与可视化建模的一体化平台.应用结果表明:在永定河"23·7"特大洪水复盘模拟中,卢沟桥洪峰预报值4540 m³/s(实测4650 m³/s),泛区淹没面积模拟误差≤2.0%;在松花江流域水资源评估中,主要水文站月径流模拟Nash效率系数均大于0.7,定量揭示了水资源演变规律.该模型具有物理机制强、功能完备、智能通用等特点,实现了水循环多过程的精细化模拟与业务化应用,为水利"四预"(预报、预警、预演、预案)工作和智慧水利业务提供了核心技术支撑.

To support the construction of digital twin watersheds and the development of smart water conservancy,addressing issues such as weak physical mechanisms,limited functionality,poor adaptability of current hydrological models,and the low efficiency of loose multi-model coupling,this research developed a generalized model software system(Runoff Yield and Concentration in Watersheds and Flood Forecast Model,Sky-RyCF)integrating the entire chain of meteorological forecasting,watershed runoff yield and concentration,flood forecasting,and reservoir opera-tion.Based on a self-developed model system from the China Institute of Water Resources and Hydropower Research,the model takes the"natural-social"dual water cycle theory as its core,and deeply integrates core mod-ules—including numerical weather prediction,distributed runoff yield,spatiotemporal variable source runoff genera-tion,1D/2D hydrodynamic flood routing,social water cycle simulation,and multi-objective reservoir operation—through standardized interfaces.An integrated platform supporting multi-model coupling and visual modeling was con-structed.Application results demonstrate that:during the replay simulation of the"23·7"extreme flood in the Yong-ding River Basin,the forecasted peak flow at Lugou Bridge was 4540 m³/s(measured 4650 m³/s),with a simulated inundation area error in the floodplain being≤2.0%;in the water resources assessment of the Songhua River Basin,the monthly runoff simulation at major hydrological stations achieved Nash-Sutcliffe efficiency coefficients greater than 0.7,quantitatively revealing the evolution patterns of water resources.The model system is characterized by strong physical mechanisms,comprehensive functionality,and intelligent generalizability,enabling refined simula-tion of multiple water cycle processes and operational application.It provides core technical support for the"Four Pre-"functions(forecast,warning,pre-run,plan)in water conservancy and the smart water management business.

周祖昊;王坤;贾仰文;刘昌军;刘佳嘉;王超;杨明祥;刘慧;翟家齐

中国水利水电科学研究院 流域水循环与水安全全国重点实验室,北京 100038中国水利水电科学研究院 流域水循环与水安全全国重点实验室,北京 100038中国水利水电科学研究院 流域水循环与水安全全国重点实验室,北京 100038中国水利水电科学研究院 流域水循环与水安全全国重点实验室,北京 100038中国水利水电科学研究院 流域水循环与水安全全国重点实验室,北京 100038中国水利水电科学研究院 流域水循环与水安全全国重点实验室,北京 100038中国水利水电科学研究院 流域水循环与水安全全国重点实验室,北京 100038中国水利水电科学研究院 流域水循环与水安全全国重点实验室,北京 100038中国水利水电科学研究院 流域水循环与水安全全国重点实验室,北京 100038

建筑与水利

流域产汇流洪水预报二元水循环模型耦合数字孪生流域

watershed runoff yield and concentrationflood forecastingdual water cyclemodel couplingdigital twin watershed

《中国水利水电科学研究院学报(中英文)》 2026 (2)

109-118,133,11

水利部重大科技项目(SKR-2022056)国家重大研发计划项目(2024YFF1306303,2016YFC0402405)国家科技重大专项(2025ZD1208303)国家自然科学基金黄河水科学研究联合基金项目(U2243601)

10.3724/j.jiwhr.20250183

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