人民珠江2025，Vol.46Issue(2)：47-55,9.DOI:10.3969/j.issn.1001-9235.2025.02.006
基于溯源分析的北江上游洪水调度方案优化
Optimization of Flood Dispatch Scheme in Upstream of Beijiang River Based on Traceability Analysis
摘要
Abstract
In order to deeply understand the new situation and demand for flood control in the upstream of Beijiang River and ensure the safety of key flood control and protection objects in the upstream,the Pearl River Delta in the downstream,and the Guangdong-Hong Kong-Macao Greater Bay Area,research was conducted on the practical dispatch results of the"22·6"and"24·4"Beijiang major floods.Based on the traceability analysis method,the factors that limit the flood control capacity of the Wantou Reservoir were clarified,and practical experience was summarized.On this basis,the potential of flood control and peak shifting of the Lechangxia Reservoir was fully explored,and an optimized dispatch scheme for the Lechangxia Reservoir was proposed.The Jinjiang Reservoir was considered to be included in the joint dispatch.Finally,multidimensional flood control benefit risk indicators were used to evaluate the optimization schemes.The research results indicate that when the inflow of the Wantou Reservoir exceeds 5 300 m3/s,holding back the water and storing it up in the Lechangxia Reservoir in advance can effectively reduce the maximum water level of the Wantou Reservoir by 1.75～3.53 m and alleviate the flood control pressure of the Wantou Reservoir.Including the Jinjiang Reservoir in the joint dispatch can further reduce the peak flow of the Shaoguan by 25～89 m3/s.The research results aim to provide a reference for optimizing flood dispatch schemes and arranging flood discharge routes in the upstream of Beijiang River under new engineering Situation.关键词
防洪调度/水库规则优化/溯源分析/北江上游Key words
flood control operation/optimization of reservoir scheme/traceability analysis/upstream of Beijiang River分类
建筑与水利引用本文复制引用
覃叶红萍,李宁宁,谭超,刘志敏,许景锋..基于溯源分析的北江上游洪水调度方案优化[J].人民珠江,2025,46(2):47-55,9.基金项目
广东省水利科技创新项目(2024-04) （2024-04）
粤港水安全保障联合实验室项目(2020B1212030005) （2020B1212030005）
