采样方案对反演岩体渗透参数的影响
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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。
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.
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.
引文
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[2]张辉,周创兵,易珍莲.水力耦合条件下岩体的损伤渗透张量[J].岩土工程界,2000,3(3):11–14.(Zhang Hui,Zhou Chuangbing,Yi Zhenlian.Damaging osmotic tensor of rock body under hydraulic coupling conditions[J].Geotechnical Engineering World,2000,3(3):11–14.(in Chinese))
[3]周创兵,熊文林.地应力对裂隙岩体渗透特性的影响[J].地震学报,1997,19(2):154–163.(Zhou Chuangbing,Xiong Wenlin.Influence of geostatic stresses on permeability of jointed rock masses[J].Acta Seismologic Sinica,1997,19(2):154–163.(in Chinese))
[4]王媛,速宝玉,徐志英.裂隙岩体渗流模型综述[J].水科学进展,1996,7(3):276–282.(Wang Yuan,Su Baoyu,Xu Zhiying.Comment on the models of seepage flow in fracture rock masses[J].Advances in Water Science,1996,7(3):276–282.(in Chinese))
[5]仵彦卿.岩体水力学基础[J].水文地质工程地质,1998,2:42–48.(Wu Yanqing.A preliminary study on rock mass hydraulics[J].Hydrogeology and Engineering Geology,1998,2:42–48.(in Chinese))
[6]王洪淘,王恩志.各向异性裂隙岩体渗透系数计算方法探讨[J].武汉水利电力大学学报,1997,30(2):49–53.(Wang Hongtao,Wang Enzhi.Finite difference approach for estimation of anisotropic permeability in fractured rock mass[J].Journal of Wuhan Univ.of Hydr.&Elec.Eng.,1997,30(2):49–53.(in Chinese))
[7]刘杰,王媛,杨建贵.采用加速遗传算法反演裂隙岩体渗流参数[J].水利学报,2003,(2):55–60.(Liu Jie,Wang Yuan,Yang Jiangui.Back analysis of seepage parameters for fractured rock mass using accelerated genetic algorithm[J].Journal of Hydraulic Engineering,2003,(2):55–60.(in Chinese))
[8]朱岳明,张燎军,吴愔.裂隙岩体渗透系数张量的反演分析[J].岩石力学与工程学报,1997,16(5):461–470.(Zhu Yueming,ZhangLiaojun,Wu Yin.Back analysis of coefficient tensor of permeability for fractured rock mass[J].Chinese Journal of Rock Mechanics and Engineering,1997,16(5):461–470.(in Chinese))
[9]Yeh William W G.Review of parameter identification procedures in ground water hydrology[J].Water Resource Research,1986,22(2):85–108.
[10]吴中如,顾冲时.大坝原型反分析及其应用[M].杭州:江苏科学技术出版社,2000.(Wu Zhongru,Gu Chongshi.Back Analysis and Application of Dam[M].Hangzhou:Jiangsu Science and Technology Press,2000.(in Chinese))
[11]Peter K,Kitanidis.On the geo-statistical approach to the inverse problem[J].Advances in Water Resources,1996,19(6):333–342.
[12]李金容,郭建青,杨振放.地下水位的空间最优估计[J].西北水资源与水工程,2001,12(1):17–20.(Li Jinrong,Guo Jianqing,Yang Zhenfang.The spatial optimal estimation of groundwater level[J].Northwest Water Resources and Water Engineering,2001,12(1):17–20.(in Chinese))
[13]张征,刘淑春,邹正盛等.岩土参数的变异性及其评价方法[J].土木工程学报,1995,28(6):43–51.(Zhang Zheng,Liu Shuchun,Zou Zhengsheng,et al.The variability and evaluation of parameters of rock and soil[J].China Civil Engineering Journal,1995,28(6):43–51.(in Chinese))
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