史良胜, 杨金忠, 林琳, 李少龙. 基于尺度因素的地下水随机分析[J]. 水科学进展, 2007, 18(1): 39-43.
引用本文: 史良胜, 杨金忠, 林琳, 李少龙. 基于尺度因素的地下水随机分析[J]. 水科学进展, 2007, 18(1): 39-43.
SHI Liang-sheng, YANG Jin-zhong, LIN Lin, LI Shao-long. Stochastic analysis of groundwater based on scale factor[J]. Advances in Water Science, 2007, 18(1): 39-43.
Citation: SHI Liang-sheng, YANG Jin-zhong, LIN Lin, LI Shao-long. Stochastic analysis of groundwater based on scale factor[J]. Advances in Water Science, 2007, 18(1): 39-43.

基于尺度因素的地下水随机分析

Stochastic analysis of groundwater based on scale factor

  • 摘要: 针对小尺度的各态历经假设的失效,研究了小尺度上多孔介质特性参数统计特征。利用基于K-L(Karhunen-Loeve)展开和混沌展开的谱模型,分析了尺度大小对地下水流动的影响。结果表明,尺度大小导致了特征值系列和特征函数系列的变化,尺度的变化对水头、含水量、流速影响程度不同;水头和流速方差与尺度相关,尺度越大,水头和流速方差越大;研究尺度的变化对水头、含水量、流速均值产生的影响较小。

     

    Abstract: The ergodic hypothesis will become invalid in a small domain.Therefore,the modified covariance functions of aquifer parameters are evaluated from the ensemble average,and an improved numerical model is developed based on the K-L (Karhunen-Loeve)expansion and chaos expansion.This study analyzes the impact of the domain scale on groundwater flow. The results show that the investigation scale causes the change of the eigenvalue and eigenfunction series,and the investigation scale impacts the total head,water content and velocity in different degree.The variances of total head and velocity increase as the investigation scale increases,and the mean of total head,velocity and water content are scaled independent.

     

/

返回文章
返回