STOCHASTIC-MODELS OF SUBSURFACE FLOW - LOG LINEARIZED GAUSSIAN MODELS ARE EXACT FOR COVARIANCES
被引:12
作者:
GUTJAHR, A
论文数: 0引用数: 0
h-index: 0
机构:New Mexico Inst of Mining &, Technology, Dep of Mathematics,, Socorro, NM, USA, New Mexico Inst of Mining & Technology, Dep of Mathematics, Socorro, NM, USA
GUTJAHR, A
机构:
[1] New Mexico Inst of Mining &, Technology, Dep of Mathematics,, Socorro, NM, USA, New Mexico Inst of Mining & Technology, Dep of Mathematics, Socorro, NM, USA
PROBABILITY - Random Processes - WATER RESOURCES - Groundwater;
D O I:
10.1029/WR020i012p01909
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
Stochastic solutions for steady state infinite domain flow models are studied under the assumptions that log conductivity and head are second-order stationary jointly Gaussian processes. It is shown that the covariance relationships previously derived are exact solutions for the nonlinearized equations no matter how large the input variance is.