长江流域资源与环境 >> 2020, Vol. 29 >> Issue (4): 919-927.doi: 10.11870/cjlyzyyhj202004013

• 自然资源 • 上一篇    下一篇

环洞庭湖区地下水位空间分布特征研究

王俊霖1, 黄兵2,3*, 郑颖2,3, 徐悦2,3   

  1. (1.中国地质大学(武汉) 环境学院, 湖北 武汉 430074; 2.湖南省水利水电勘测设计研究总院洞庭湖研究中心, 湖南 长沙 410007; 3. 洞庭湖水环境治理与生态修复湖南省重点实验室, 湖南 长沙 410007)

  • 出版日期:2020-04-20 发布日期:2020-06-12

Spatial Characteristics of Groundwater Level in Dongting Lake Area

WANG Jun-lin1, HUANG Bing2,3, ZHENG Ying2,3, XU Yue2,3   

  1. (1. School of Environment, China University of Geosciences, Wuhan 430074, China;2. Hunan Hydro/Power Design Institute, Research Center of Dongting Lake, Changsha 410007, China;3. Key Laboratory of Dongting Lake Aquatic Eco-Environmental Control and Restoration of Hunan Province, Changsha 410007, China)

  • Online:2020-04-20 Published:2020-06-12

摘要: 摘要: 地下水位空间分布特征研究对合理开发并有效利用地下水资源具有重要意义。为准确分析环洞庭湖区地下水位空间分布特征,以分隔距离增量及其对应的允许变化范围、最大计算范围、变异函数模型结构为变量构建了118种组合方案,采用交叉验证法及其评价指标对不同方案的变异函数模型参数及交叉验证统计结果进行对比分析,在此基础上筛选出相对较优的变异函数模型用于研究环洞庭湖区地下水位空间分布特征。结果表明:(1)不同结构的变异函数模型参数及其评价指标结果存在较大的差异;相同结构的变异函数模型参数及其对应的评价指标随分隔距离增量和最大计算范围的变化也存在明显变化趋势,且部分评价指标变化趋势对模型合理性的影响效果相反。(2)经对比分析,环洞庭湖区地下水位的变异函数模型为球形模型,模型变程为978 km,块金值为9.86,偏基台值为45.36,块金系数为17.9%。研究区域内地下水位具有强烈的空间相关性,且结构性因素对空间变异且主导作用。(3)环洞庭湖区地下水位总体上呈层状分布,由外向内地下水位依次降低,地下水埋深依次减少,研究区域内地下水位与地势和河流水系结构关系密切。


Abstract: Abstract:The study of spatial characteristics of groundwater level is important for rational development and effective utilization of groundwater resources. In order to eliminate the influence of human factors, 118 schemes are constructed with separation distance increment and its corresponding allowable range of variation, maximum calculation range and variance model structure as variables. The parameters of variance model and the statistical results of cross-validation of different schemes are compared and analyzed by cross-validation method and its evaluation index. On this basis, the relatively optimal variogram model is screened out. The numerical model is used to study the spatial distribution characteristics of groundwater level around the East Lake. The results show that: (1) Variogram model parameters and their cross-validation results of different structures are quite different with each other. Variogram model parameters and their corresponding cross-validation resluts of the same structure also have obvious change trend with separation distance increment and the maximum calculation range, and some cross-validation results have opposite effects; (2) The variogram model of groundwater level in Dongting Lake area is a spherical model with parameters: a=97.8 km, C0=9.86 and C1=45.36. The nugget coefficient is 17.9%, which indicates that the groundwater level in the study area has a strong spatial correlation, and structural factors play a leading role in spatial variability; (3) The groundwater level in the area around Dongting Lake generally presents a circular distribution, which decreases in turn from outward to inland, and the groundwater depth decreases in turn. The groundwater level in the study area is closely related to the topography and river system structure.

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