Multivariate sensitivity analysis of saturated flow through simulated highly heterogeneous groundwater aquifers

被引:24
|
作者
Winter, C. L.
Guadagnini, A.
Nychka, D.
Tartakovsky, D. M.
机构
[1] Natl Ctr Atmospher Res, Inst Math Appl Geosci, Boulder, CO 80305 USA
[2] Politecn Milan, DIIAR, I-20133 Milan, Italy
[3] Univ Calif San Diego, La Jolla, CA 92093 USA
关键词
sensitivity analysis; parametric uncertainty; groundwater flow; stochastic partial differential equations;
D O I
10.1016/j.jcp.2006.01.047
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
A multivariate Analysis of Variance (ANOVA) is used to measure the relative sensitivity of groundwater flow to two factors that indicate different dimensions of aquifer heterogeneity. An aquifer is modeled as the union of disjoint volumes, or blocks, composed of different materials with different hydraulic conductivities. The factors are correlation between the hydraulic conductivities of the different materials and the contrast between mean conductivities in the different materials. The precise values of aquifer properties are usually uncertain because they are only sparsely sampled, yet are highly heterogeneous. Hence, the spatial distribution of blocks and the distribution of materials in blocks are uncertain and are modeled as stochastic processes. The ANOVA is performed on a large sample of Monte Carlo simulations of a simple model flow system composed of two materials distributed within three disjoint blocks. Our key finding is that simulated flow is much more sensitive to the contrast between mean conductivities of the blocks than it is to the intensity of correlation, although both factors are statistically significant. The methodology of the experiment - ANOVA performed on Monte Carlo simulations of a multi-material flow system - constitutes the basis of additional studies of more complicated interactions between factors that define flow and transport in aquifers with uncertain properties. (c) 2006 Published by Elsevier Inc.
引用
收藏
页码:166 / 175
页数:10
相关论文
共 50 条