【摘要】 利用地下水位的观测资料对岩体渗透参数进行反演是较为可靠的方法。目前常用随机布点的方法获得地下水位的观测资料。这种方法没有考虑地下水位的空间变异性。通过对地下水位空间变异性的分析,将总体估计误差作为评价样本好坏的标准,并用它研究了3种不同采样方案下等效连续介质的主渗透参数反演结果。分析结果表明:在满足反演精度的前提下,采用优化的方案可降低采样费用;采用随机布点,在相同布点数时,反演结果的误差较优化方案的误差大;增加随机布点数对反演结果改善不明显。更多还原

【Abstract】 Using observation data of underground water level proves to be a comparatively reliable method for inversion analysis of seepage parameters for fractured rocks. Generally,observation data are gained randomly without considering the spatial continuity of underground water level. In this paper, the spatial correlation structure of underground water level is analyzed by using geostatistics. The total estimate errors is used for investigating the result of back analysis for seepage parameters of fractured rock mass under three different sampling scheme .The result shows that optimized sampling scheme can decrease the sampling expenses while insuring the accuracy. The error produced in random samping is bigger than that of optimized sampling scheme when the number of observation data is the same. It is not obvious that increasing the number of random observation data can improve the result of back analysis.更多还原