典型喀斯特流域水文格局指数演变及驱动机制解析 —以南北盘江为例
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1.:西南林业大学水土保持学院;2.西南林业大学水土保持学院

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(42461012)、云南省基础研究计划面上(202301AT070227)、云南省一流学科开放课题(SBK20240020)、国家级大学生创新创业训练计划项目(202410677005)和云南省大学生创新创业训练计划项目(S202410677041)联合资助


Evolution of Hydrological Extreme Indices in Typical Karst Basins and Analysis of Their Driving Mechanisms: A Case Study of the Nanpan and Beipan Rivers, China
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College of Soil and Water Conservation,Southwest Forestry University

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    摘要:

    剧烈的气候变化与日益增强的人类活动深刻改变了河流水文过程,对河流水生态系统的健康与安全具有重要影响。基于“时空演变-驱动机制-因果路径”的研究范式,本研究系统解析了南北盘江流域18个水文站水文格局指数时空演变特征及驱动机制。采用贝叶斯突变、季节性和趋势估计(BEAST)方法识别径流序列非平稳与突变特征,采用水文改变指标变化范围法(IHA-RVA)量化大坝建设前后水文格局的改变程度,同时结合极限梯度提升-可解释机器学习(XGBoost-SHAP)、最优多元分层地理探测器(OMGD)与偏最小二乘结构方程(PLS-SEM)解析自然和人类活动对整体、控制与自然流域的单因素、多因素及影响路径的差异。结果表明:(1)径流突变与区域干旱、洪涝事件高度吻合;(2)水库大坝使水文格局呈现“高流量降低、低流量升高” 的演变特征,且大坝影响随距离增加逐渐减弱;(3)XGBoost-SHAP表明气候因素是主导不同流域水文格局变化的关键,而OMGD和PLS-SEM一致表明气候与水系/景观/人类活动的耦合作用分别是整体/控制/自然流域的主控因素;而地形、岩性、土壤等因子仅对部分水文格局指数产生影响。综上,南北盘江喀斯特流域水文格局指数对气候和下垫面因子表现为非线性响应,控制流域主要受“气候-景观”主导,自然流域主要受“气候-人类活动”主导两类模式,均一致表现为对气候变化具有高度敏感性,而自然流域一旦人类扰动增强,其脆弱性风险将可能增大,因而亟需关注和调控人类活动的可能影响;未来流域水资源管理需重点关注极端气候变化引起的极端水文事件,同时重视水库调控、土地利用(人类活动)等对水生态系统的潜在影响。

    Abstract:

    Intense climate change and intensified human activities have profoundly altered river hydrological processes, exerting significant impacts on the health and security of fluvial aquatic ecosystems. Following the research paradigm of “spatiotemporal evolution?driving mechanism?causal pathways”, this study systematically analyzes the spatiotemporal variation characteristics and driving mechanisms of hydrological regime indices at 18 hydrological stations across the Nan?Beipan River Basin. The Bayesian Estimation of Abrupt change, Seasonality and Trend (BEAST) method is employed to identify non?stationarity and abrupt changes in runoff series, while the Indicators of Hydrologic Alteration?Range of Variability Approach (IHA?RVA) is used to quantify the degree of hydrological regime alteration before and after dam construction. Combined with Extreme Gradient Boosting?SHapley Additive exPlanations (XGBoost?SHAP), Optimal Multivariate Stratified Geodetector (OMGD) and Partial Least Squares?Structural Equation Modeling (PLS?SEM), this study further distinguishes single?factor, multi?factor effects and impact pathways of natural factors and human activities across the whole basin, regulated basins and natural basins. The results show that: (1) Abrupt runoff changes are highly consistent with regional drought and flood events; (2) Reservoir dams induce hydrological regime shifts characterized by decreased high?flow magnitudes and increased low?flow magnitudes, with dam?induced impacts gradually weakening with increasing distance; (3) XGBoost?SHAP results reveal that climatic factors dominate hydrological regime variations in different basins, whereas both OMGD and PLS?SEM indicate that coupled interactions between climate and river network/landscape/human activities are the primary controlling factors for the whole basin, regulated basins and natural basins respectively. Topography, lithology, soil and other factors only affect partial hydrological regime indices. Overall, hydrological regime indices in the karst Nan?Beipan River Basin exhibit nonlinear responses to climatic and underlying surface factors. Regulated basins are mainly governed by the “climate?landscape” coupling mode, while natural basins are dominated by the “climate?human activity” coupling mode. Both modes demonstrate high sensitivity to climate change. Enhanced human disturbances may increase vulnerability risks in natural basins, highlighting the urgent need to monitor and regulate anthropogenic impacts. Future basin water resource management should prioritize extreme hydrological events triggered by climate change, and pay close attention to potential ecological impacts of reservoir regulation and land?use changes (human activities).

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  • 收稿日期:2026-03-30
  • 最后修改日期:2026-06-15
  • 录用日期:2026-06-15
  • 在线发布日期: 2026-07-08
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