京津冀平原地下水库潜在靶区识别方法

Identification of potential target zones for groundwater reservoirs based on hydrogeological constraints

  • 摘要: 为降低地下水库区域筛选对指标赋权和经验阈值的依赖,提出一种潜在靶区识别方法。以京津冀平原浅层含水层系统为对象,构建“数据驱动分区—水文地质约束—生态补水验证”的识别流程,从水源、库容、存储和回补条件等选取8项水文地质指标,通过聚类与最大似然分类进行概率分区,叠加古河道沉积条件、地貌和水系等约束圈定靶区,并利用生态补水事件验证地下水响应,采用蒙特卡洛方法估算特征库容。结果表明:研究区共识别8处靶区,总面积为6097.9km2,可调蓄最大库容为(41.6±4.7)亿m3;唐河沙河与滹沱河靶区可调蓄最大库容合计占69.2%,生态补水下平均水位抬升0.22m,可作为后续地下水库优先勘查的重点候选区域。该方法可为地下水库前期规划与优先勘查区筛选提供参考。

     

    Abstract: To reduce the dependence of regional groundwater-reservoir screening on subjective indicator weighting and empirical thresholds, a method for identifying potential groundwater target zones was developed. An identification framework integrating “data-driven zoning–hydrogeological constraints–ecological water-replenishment validation” was established for the shallow aquifer system of the Beijing–Tianjin–Hebei Plain. Eight hydrogeological indicators representing the water source, storage capacity, storage, and recharge conditions were selected. Probabilistic zoning was performed using clustering and maximum-likelihood classification. Constraints related to paleochannel deposits, landforms, and river networks were also incorporated to delineate potential target zones. Groundwater responses were then validated using ecological water-replenishment events, and characteristic storage capacities were estimated through Monte Carlo simulations. The framework identified eight potential target zones with a total area of 6097.9 km2 and a maximum adjustable storage capacity of (4.16 ± 0.47) × 109 m3. The Tanghe-Shahe and Hutuo River target zones together accounted for 69.2% of the total maximum adjustable storage capacity, and the mean groundwater level increased by 0.22 m during ecological water replenishment. Therefore, these two zones should be prioritized in subsequent groundwater-reservoir investigations. The proposed method provides a practical reference for preliminary groundwater-reservoir planning and identifying priority investigation areas.

     

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