水利学报2026，Vol.57Issue(3)：394-404,417,12.DOI:10.3724/j.slxb.20250300
分布式水文模型智能提取衍生构建技术研究与应用
Research and application of intelligent extraction and derivation technology for distributed hydrological models
摘要
Abstract
Distributed hydrological models are effective tools for studying complex hydrological processes and sup-porting the development of smart water management.However,the current model construction process suffers from issues such as heavy workloads in fundamental data collection and organization,high repetitiveness in input data pro-cessing,and poor portability of model parameters,which limit modeling and interoperability efficiency.To address these challenges,this paper proposes a one-click extraction and derivation technology for distributed hydrological models based on a cloud platform.This technology integrates GIS spatial analysis tools with hydrological topology coding rules to establish two derivation modes based on polygon and point features.It enables rapid extraction of basic information and computational unit data from a distributed hydrological model.By leveraging the mapping relation-ships between computational units of the old and new models,it inherits the structure,data,and parameters of the original model,thereby generating an independent and complete new model.This study,using the delineated bound-aries of Jiangxi Province and the Poyang Lake Basin as the study area,conducted research including data collection,model construction,parameter calibration,extraction and derivation,and application validation.The results show that this technology can substantially reduce the effort in data collection and preprocessing,significantly improve model construction efficiency,and ensure that the newly derived model maintains the simulation accuracy of the origi-nal model.This research provides a new technical method and practical support for the construction of smart water management and digital twin river basins.关键词
分布式水文模型/云平台/一键提取/模型衍生/鄱阳湖流域/参数继承Key words
distributed hydrological model/cloud platform/one-click extraction/model derivation/Poyang Lake Basin/parameter inheritance分类
建筑与水利引用本文复制引用
王坤,周祖昊,刘佳嘉,严登华,严子奇,于新哲..分布式水文模型智能提取衍生构建技术研究与应用[J].水利学报,2026,57(3):394-404,417,12.基金项目
国家重点研发计划项目(2024YFF1306303) （2024YFF1306303）
京津冀环境综合治理国家科技重大专项(2025ZD1208300) （2025ZD1208300）
国家自然科学基金黄河水科学研究联合基金项目(U2243601) （U2243601）
水利部重大科技项目(SKR-2022056) （SKR-2022056）
江西省水利科学院"江西省二元水循环模拟器" （）
中国长江电力股份有限公司项目(2423020036) （2423020036）
