A Reduced‐Order Successive Linear Estimator for Geostatistical Inversion and its Application in Hydraulic Tomography
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Yuanyuan Zha | Liangsheng Shi | Tian-Chyi J. Yeh | Wenzhi Zeng | Walter A. Illman | Yonggen Zhang | Fangqiang Sun
[1] James J. Butler,et al. Pumping tests in networks of multilevel sampling wells: Motivation and methodology , 1999 .
[2] P. Kitanidis. Persistent questions of heterogeneity, uncertainty, and scale in subsurface flow and transport , 2015 .
[3] M. Anderson,et al. Darcy Velocity Is Not a Velocity , 2016, Ground water.
[4] T. Yeh,et al. Validation of hydraulic tomography in an unconfined aquifer: A controlled sandbox study , 2015 .
[5] Mary C. Hill,et al. UCODE_2005 and six other computer codes for universal sensitivity analysis, calibration, and uncertainty evaluation constructed using the JUPITER API , 2006 .
[6] P. Kitanidis,et al. Principal Component Geostatistical Approach for large-dimensional inverse problems , 2014, Water resources research.
[7] Peter K. Kitanidis,et al. An interactive Bayesian geostatistical inverse protocol for hydraulic tomography , 2006 .
[8] E. Sudicky,et al. A view toward the future of subsurface characterization: CAT scanning groundwater basins , 2008 .
[9] Peter K. Kitanidis,et al. A field proof‐of‐concept of aquifer imaging using 3‐D transient hydraulic tomography with modular, temporarily‐emplaced equipment , 2012 .
[10] Yonghong Hao,et al. A temporal sampling strategy for hydraulic tomography analysis , 2013 .
[11] T. Yeh,et al. Hydraulic tomography: Development of a new aquifer test method , 2000 .
[12] M. Cardiff,et al. Aquifer imaging with pressure waves—Evaluation of low‐impact characterization through sandbox experiments , 2016 .
[13] Mary F. Wheeler,et al. An iterative stochastic ensemble method for parameter estimation of subsurface flow models , 2013, J. Comput. Phys..
[14] Dongxiao Zhang,et al. Conditional simulations of flow in randomly heterogeneous porous media using a KL-based moment-equation approach , 2004 .
[15] M. Cardiff,et al. Oscillatory hydraulic testing as a strategy for NAPL source zone monitoring: Laboratory experiments. , 2017, Journal of contaminant hydrology.
[16] W. Nowak,et al. A modified Levenberg-Marquardt algorithm for quasi-linear geostatistical inversing , 2004 .
[17] Cheng-Haw Lee,et al. River stage tomography: A new approach for characterizing groundwater basins , 2009 .
[18] P. Kitanidis. Quasi‐Linear Geostatistical Theory for Inversing , 1995 .
[19] Y. Zha,et al. An Application of Hydraulic Tomography to a Large‐Scale Fractured Granite Site, Mizunami, Japan , 2016, Ground water.
[20] R. Srivastava,et al. A three-dimensional numerical model for water flow and transport of chemically reactive solute through porous media under variably saturated conditions , 1992 .
[21] Cheng-Haw Lee,et al. Uniqueness, scale, and resolution issues in groundwater model parameter identification , 2015 .
[22] Walter A. Illman,et al. Steady-state hydraulic tomography in a laboratory aquifer with deterministic heterogeneity: Multi-method and multiscale validation of hydraulic conductivity tomograms , 2007 .
[23] Nathan Halko,et al. Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions , 2009, SIAM Rev..
[24] David L. Alumbaugh,et al. A geostatistically based inverse model for electrical resistivity surveys and its applications to vadose zone hydrology , 2002 .
[25] Wolfgang Nowak,et al. Efficient Computation of Linearized Cross-Covariance and Auto-Covariance Matrices of Interdependent Quantities , 2003 .
[26] P. Kitanidis,et al. Fast iterative implementation of large‐scale nonlinear geostatistical inverse modeling , 2014 .
[27] Hiromitsu Saegusa,et al. Hydraulic tomography in fractured granite: Mizunami Underground Research site, Japan , 2009 .
[28] Y. Zha,et al. What does hydraulic tomography tell us about fractured geological media? A field study and synthetic experiments , 2015 .
[29] T. Yeh,et al. Cost-effective hydraulic tomography surveys for predicting flow and transport in heterogeneous aquifers. , 2009, Environmental science & technology.
[30] Minghui Jin,et al. AN ITERATIVE STOCHASTIC INVERSE METHOD: CONDITIONAL EFFECTIVE TRANSMISSIVITY AND HYDRAULIC HEAD FIELDS , 1995 .
[31] Walter A Illman,et al. Comparison of Approaches for Predicting Solute Transport: Sandbox Experiments , 2012, Ground water.
[32] Peter K. Kitanidis,et al. Large‐scale hydraulic tomography and joint inversion of head and tracer data using the Principal Component Geostatistical Approach (PCGA) , 2014 .
[33] W. Illman,et al. Should hydraulic tomography data be interpreted using geostatistical inverse modeling? A laboratory sandbox investigation , 2015 .
[34] Jet-Chau Wen,et al. A simultaneous successive linear estimator and a guide for hydraulic tomography analysis , 2009 .
[35] Tian-Chyi J. Yeh,et al. Incorporating geologic information into hydraulic tomography: A general framework based on geostatistical approach , 2017 .
[36] W. Illman,et al. Geostatistical reduced‐order models in underdetermined inverse problems , 2013 .
[37] Allan L. Gutjahr,et al. An Iterative Cokriging‐Like Technique for Ground‐Water Flow Modeling , 1995 .
[38] Yuanyuan Zha,et al. The relative importance of head, flux, and prior information in hydraulic tomography analysis , 2015 .
[39] P. Kitanidis,et al. Aquifer heterogeneity characterization with oscillatory pumping: Sensitivity analysis and imaging potential , 2013 .
[40] Velimir V. Vesselinov,et al. Large‐scale inverse model analyses employing fast randomized data reduction , 2017 .
[41] Wei Li,et al. Efficient geostatistical inverse methods for structured and unstructured grids , 2006 .
[42] Peter Dietrich,et al. Identification of the permeability distribution in soil by hydraulic tomography , 1995 .
[43] Dongxiao Zhang,et al. An efficient, high-order perturbation approach for flow in random porous media via Karhunen-Loève and polynomial expansions , 2004 .