Multi-scale response characteristics of extreme hydrological events and reservoir regulation effects in the Pearl River Delta
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摘要: 珠江三角洲长期面临极端水文事件与人类活动的双重挑战,导致洪旱灾害频发、咸潮上溯加重,上游复杂的岩溶地下水—地表水耦合过程增强了流量的突变性和调节不确定性。为了揭示珠江三角洲极端水文流量的多尺度演变规律,评估水库调控在防洪抗旱中的关键作用,文章基于2006—2017年的7个水文站和1个水库日流量数据,综合应用Mann-Kendall趋势检验、Gumbel/Gamma极值分布模型及水库调节比率模型,解析流量趋势、极端事件特征与水库调控效应。结果表明西江马口站与北江三水站流量每年显著增长(171.417、50.254 m3∙s−1),东江博罗站受调水工程影响趋势不显著。西江10年一遇洪峰达
58846 m3∙s−1,北江20年一遇枯水流量降至53.38 m3∙s−1,区域性风险差异显著。下游河水上溯天数年均增加12%,海平面上升与上游来水减少是主因。水库调控具有显著的削峰填谷效应,洪水期削峰比达0.3~0.9,枯水期支撑比超0.8,有效缓解洪旱灾害。气候变化与人类活动协同驱动珠江水文极端化,水库调控是平衡防洪与抗旱的核心手段,研究为区域水资源韧性管理提供科学依据。Abstract: The Pearl River Delta (PRD) is experiencing increased hydroclimatic variability alongside intensive human regulation, resulting concurrent risks of floods, droughts, and saltwater intrusion. This study examines multi-scale changes in extreme flow events and quantifies reservoir regulation, with attention to the combined effects of upstream karst–surface water interactions and downstream tidal dynamics. We compiled daily discharge and precipitation records from seven representative stations across upstream, midstream, and downstream reaches, along with operational data from one key reservoir, covering the period from 2006 to 2017. Methods include the Mann-Kendall test with linear slope estimation for trend detection, seasonal indices for flood−drought allocations, extreme value models (Gumbel distribution for flood peaks and Gamma distribution for low flows), and a physically interpretable reservoir regulation ratio R. This ratio isolates the operational contribution of the reservoir under varying hydrological regimes. Trend diagnostics indicate significant increases in annual flow at Makou (the Xijiang River) and Sanshui (the Beijiang River), while Boluo (the Dongjiang River) shows no monotonic trend. Estimated slopes are approximately 171.4 and 50.3 m3·s−1 at Makou and Sanshui, respectively. Seasonal indices reveal that upstream stations retain a pronounced flood-season amplification consistent with natural precipitation variability; midstream stations exhibit stabilization due to regulation; and downstream stations, influenced by tidal backwater and diversions, display more balanced flood-drought allocations. Frequency analysis reveals spatially contrasting hazards. At Makou, the 10-year flood is about 5.9×104 m3·s−1, reflecting strong basin-scale concentration and operational constraints during heavy rainfall. For drought risk, the 20-year low flow at Sanshui is 53 m3·s−1, indicating elevated supply risk during prolonged deficits. The Gamma model for low flows avoids nonphysical negative values and preserves the lower-tail behavior needed for drought design. Overall, flood hazard scales with contributing area (Boluo<Sanshui<Makou), whereas drought vulnerability is station-specific, shaped by both regulation and tidal backwater. Downstream, days with flow reversal (upstream-directed velocity), which diagnose tidal dominance and salt-intrusion propensity, have increased over the study period. Reversal-day counts rise by 12% on average and cluster in the dry season (December-March), when upstream inflows are minimal. This trend is consistent with sea-level rise and dredging-altered hydraulics that enhance tidal penetration. The regulation ratio R captures operational fingerprints across regimes. During flood seasons, R<1 dominates, indicating peak shaving; typical events yield between 0.3 and 0.9. In dry seasons, R>1 occurs frequently, with support ratios above 0.8 in most years, showing active augmentation of downstream flows for ecological and municipal needs. The R series exhibits spikes during basin-wide droughts (emergency releases) and troughs during intercepted flood peaks, directly evidencing dual mitigation by storage.Synthesizing the results, climate change and human activities jointly polarize the PRD hydrologic regime, resulting higher flood peaks and lower low flows upstream, and more frequent tidal reversals downstream. Large reservoirs serve as effective tools for managing the flood-drought trade-off by reducing peak discharges while maintaining environmental flows, but they also alter natural hydrographs and sediment-morphodynamic processes. The proposed R metric provides a concise, physically grounded indicator for diagnosing and comparing regulatory efficacy across events and years, as well as for communicating operational targets under multi-hazard constraints. Although the analysis is limited by the 2006 to 2017 record and idealizations in tributary corrections, the framework is transferable to other mixed karst/non-karst river systems facing compound hazards. -
表 1 珠江三角洲水文站位置及监测时段
Table 1. Locations and monitoring periods of hydrological stations in the Pearl River Delta
水文站名称 日流量时间段 控制水系 所属区域 珠三角上游 三水 2006-1-1至2017-12-31 北江干流 岩溶区 马口 2006-1-1至2017-12-31 西江干流 岩溶区 博罗 2006-1-1至2017-12-31 东江干流 部分岩溶区 珠三角中游 麒麟咀 2006-1-1至2017-12-31 东江北 部分岩溶区 天河 2006-1-1至2017-12-31 西海水道 非岩溶区 珠三角下游 冯马庙 2011-1-1至2017-12-31 洪奇沥水道 非岩溶区 上横 2011-1-1至2017-12-31 上横沥 非岩溶区 表 2 各站点M-K值检验及长期趋势
Table 2. Mann-Kendall (M-K) test results and long-term trends at each station
站点 Z值 p值 斜率 三水(北江) 16.514 0 50.254 马口(西江) 12.622 0 171.417 博罗(东江) −0.991 0.322 −8.593 麒麟咀(中游) 0.333 0.739 −1.278 天河(中游) 19.199 0 139.618 表 3 上游站点洪水/枯水极值与重现期
Table 3. Extreme values of flood/drought flow and return periods at upstream stations
站点 重现期/年 洪水流量/ m3∙s−1 枯水流量/ m3∙s−1 三水站 2 10084.85 198.99 三水站 5 12193.11 107.98 三水站 10 13588.96 74.64 三水站 20 14927.89 53.38 马口站 2 38461.14 840.43 马口站 5 50725.90 511.93 马口站 10 58846.23 382.24 马口站 20 66635.45 294.48 博罗站 2 4799.70 231.42 博罗站 5 7132.54 204.67 博罗站 10 8677.08 191.55 博罗站 20 10158.64 181.15 -
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