MULTISCALE ADAPTIVE ESTIMATION OF THE CONDUCTIVITY FIELD FROM HEAD AND TRACER DATA

被引：11

作者：

LEE, KK

DENG, FW

CUSHMAN, JH

机构：

[1] Purdue University, West Lafayette, 47907-1150, IN

来源：

STOCHASTIC HYDROLOGY AND HYDRAULICS | 1993年 / 7卷 / 01期

关键词：

PARAMETER IDENTIFICATION; MULTISCALE; TRANSPORT; ADAPTIVE;

D O I：

10.1007/BF01581567

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Large scale fluctuations in the conductivity field are regionalized and estimated via a maximum likelihood, adjoint-state methodology. Small-scale fluctuations within each region are estimated adaptively via a Kalman-like stochastic filter. The variance and integral scale within each region are assumed to control the small-scale fluctuations. A Monte Carlo technique is used to examine the distribution of large-scale conductivity estimates.

引用

页码：66 / 82

页数：17

共 16 条

[1]

ABABOU R, 1990, DYNAMICS FLUIDS HIER

[2]

[Anonymous], 1978, MINING GEOSTATISTICS

[3]

Bear J., 1979, HYDRAULICS GROUNDWAT

[4] ESTIMATION OF AQUIFER PARAMETERS UNDER TRANSIENT AND STEADY-STATE CONDITIONS .2. UNIQUENESS, STABILITY, AND SOLUTION ALGORITHMS [J].