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水力发电学报 ›› 2026, Vol. 45 ›› Issue (8): 1-12.doi: 10.11660/slfdxb.20260801

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编辑部推荐论文:三峡建坝后长江中下游干流洪水空间来源分析

  

  • 出版日期:2026-08-25 发布日期:2026-08-25

Spatial source analysis of flood events in middle and lower Yangtze River after Three Gorges dam construction

  • Online:2026-08-25 Published:2026-08-25

摘要: 科学识别长江中下游干流洪水空间来源,对于制定分区防洪策略具有重要实践意义。基于2003—2022年干支流日均流量序列,采用改进主成分分析方法(PCA)筛选干支流显著涨落样本,并结合三级分区流量组合指数(FCI)识别各分区高值年份及主要流量组合模式,再通过警戒水位判定洪水范畴,解析干流洪水的主要来源。结果表明:改进PCA有效提取了干支流流量涨落特征,第1主成分(PC1)得分高于阈值1.36的显著样本与实际流量过程线高位吻合较好;各年流量显著样本连续期分布呈现年际差异,2021年受汉江秋汛影响显著期偏晚,2022年则因“汛期反枯”表现为早期来流影响;判定出2020年为典型流域性洪水,2010、2012、2016、2017年为区域性洪水,结果与历史汛情吻合。

关键词: 长江中下游, 警戒水位, 干支流组合, 改进主成分分析, 流量组合指数

Abstract: Scientific identification of the spatial sources of mainstream flood events in the middle and lower Yangtze River basin is of great significance to the design of a regional flood control strategy and its engineering application. This study uses an improved method of principal component analysis (PCA) to screen significant flood fluctuation samples, based on the 2003-2022 daily average discharge series from this basin’s mainstream and major tributaries. Major flood events are determined using warning water levels, through combining a three-zone Flood Combination Index (FCI), high-FCI years, and primary discharge combination patterns for different zones. The results indicate that the improved PCA extracts discharge fluctuating characteristics effectively, and significant samples with the first principal component (PC1) score above the threshold 1.36 are in good agreement with the real cases in the high range of flow discharge. Inter-annual variations occur in the distribution of consecutive significant-sample periods. In 2021, significant flood periods occurred quite late under the influence of autumn floods from the Han River, while in 2022, early-season inflow impacts were evident due to a "dry flood season". The year of 2020 was marked by typical basin-wide flood events, and regional floods dominated 2010, 2012, 2016, and 2017, consistent with historical flood records.

Key words: middle and lower Yangtze River, warning water level, mainstream-tributary combination, improved principal component analysis, flood combination index

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