Chapter 10 – Forecasting and Uncertainty Analysis
暂无分享,去创建一个
[1] S. P. Neuman,et al. Estimation of Aquifer Parameters Under Transient and Steady State Conditions: 3. Application to Synthetic and Field Data , 1986 .
[2] T. Ulrych,et al. Minimum relative entropy: Forward probabilistic modeling , 1993 .
[3] R. Hunt,et al. Assessment of sewer source contamination of drinking water wells using tracers and human enteric viruses. , 2010, Environmental science & technology.
[4] Luk Peeters,et al. Australian groundwater modelling guidelines , 2012 .
[5] Michael N Fienen,et al. We Speak for the Data , 2013, Ground water.
[6] S. P. Neuman,et al. Estimation of aquifer parameters under transient and steady-state conditions: 2 , 1986 .
[7] Keith Beven,et al. A guide to good practice in modeling semantics for authors and referees , 2013 .
[8] Mary C. Hill,et al. MMA, A Computer Code for Multi-Model Analysis , 2014 .
[9] J. Doherty,et al. Uncertainty Analysis of a Groundwater Flow Model in East‐Central Florida , 2015, Ground water.
[10] J. Bredehoeft. The conceptualization model problem—surprise , 2005 .
[11] T. Ulrych,et al. A full‐Bayesian approach to the groundwater inverse problem for steady state flow , 2000 .
[12] E. Scott Bair,et al. A Monte Carlo-Based Approach for Determining Traveltime-Related Capture Zones of Wells Using Convex Hulls as Confidence Regions , 1991 .
[13] John Doherty,et al. Response to Comment on “Two statistics for evaluating parameter identifiability and error reduction” , 2010 .
[14] K Beven,et al. On the concept of model structural error. , 2005, Water science and technology : a journal of the International Association on Water Pollution Research.
[15] R. Hunt,et al. Delineating a Recharge Area for a Spring Using Numerical Modeling, Monte Carlo Techniques, and Geochemical Investigation , 2001, Ground water.
[16] Gene H. Golub,et al. Matrix computations , 1983 .
[17] J. Lopreato,et al. General system theory : foundations, development, applications , 1970 .
[18] Richard L. Cooley,et al. A method of estimating parameters and assessing reliability for models of steady state groundwater flow: 1. Theory and numerical properties , 1977 .
[19] R. Hunt,et al. Simulation of climate-change effects on streamflow, lake water budgets, and stream temperature using GSFLOW and SNTEMP, Trout Lake Watershed, Wisconsin , 2013 .
[20] Steen Christensen,et al. Bias and uncertainty in regression-calibrated models of groundwater flow in heterogeneous media , 2006 .
[21] R. L. Cooley. A theory for modeling ground-water flow in heterogeneous media , 2004 .
[22] John Doherty,et al. Predictive error dependencies when using pilot points and singular value decomposition in groundwater model calibration , 2008 .
[23] W. Menke. Geophysical data analysis : discrete inverse theory , 1984 .
[24] Randall J. Hunt,et al. Source and transport of human enteric viruses in deep municipal water supply wells. , 2013, Environmental science & technology.
[25] Richard L. Cooley,et al. Simultaneous confidence and prediction intervals for nonlinear regression models with application to a groundwater flow model , 1987 .
[26] L. Gelhar. Stochastic Subsurface Hydrology , 1992 .
[27] David Anderson,et al. Multimodel Ranking and Inference in Ground Water Modeling , 2004, Ground water.
[28] R. Freeze. A stochastic‐conceptual analysis of one‐dimensional groundwater flow in nonuniform homogeneous media , 1975 .
[29] P. Kitanidis. Parameter Uncertainty in Estimation of Spatial Functions: Bayesian Analysis , 1986 .
[30] John Doherty,et al. Approaches to Highly Parameterized Inversion: A Guide to Using PEST for Model-Parameter and Predictive-Uncertainty Analysis , 2014 .
[31] A. Bagtzoglou,et al. Using Atmospheric Tracers to Reduce Uncertainty in Groundwater Recharge Areas , 2010, Ground water.
[32] J. M. Shafer,et al. Assessment of Uncertainty in Time‐Related Capture Zones Using Conditional Simulation of Hydraulic Conductivity , 1991 .
[33] Joel Massmann,et al. Hydrogeological Decision Analysis: 3. Application to Design of a Ground‐Water Control System at an Open Pit Mine , 1992 .
[34] Al-Aziz Eddebbarh,et al. Practical Postcalibration Uncertainty Analysis: Yucca Mountain, Nevada , 2009, Ground water.
[35] J. Doherty,et al. Calibration‐constrained Monte Carlo analysis of highly parameterized models using subspace techniques , 2009 .
[36] John Doherty,et al. Groundwater modelling in decision support: reflections on a unified conceptual framework , 2013, Hydrogeology Journal.
[37] Mary C. Hill,et al. Comment on ``Two statistics for evaluating parameter identifiability and error reduction'' by John Doherty and Randall J. Hunt , 2010 .
[38] J. Doherty. Modeling: Picture Perfect or Abstract Art? , 2011, Ground water.
[39] D. Higdon,et al. A Markov Chain Monte Carlo method for the groundwater inverse problem. , 2004 .
[40] You‐Kuan Zhang. Stochastic Methods for Flow in Porous Media: Coping with Uncertainties , 2001 .
[41] Ahmed E. Hassan,et al. Uncertainty assessment of a stochastic groundwater flow model using GLUE analysis , 2008 .
[42] John Doherty,et al. Efficient nonlinear predictive error variance for highly parameterized models , 2006 .
[43] Ming Ye,et al. A Model‐Averaging Method for Assessing Groundwater Conceptual Model Uncertainty , 2010, Ground water.
[44] John Doherty,et al. Quantifying the predictive consequences of model error with linear subspace analysis , 2014 .
[45] Steen Christensen. A synthetic groundwater modelling study of the accuracy of GLUE uncertainty intervals , 2002 .
[46] S. P. Neuman,et al. Estimation of Aquifer Parameters Under Transient and Steady State Conditions: 1. Maximum Likelihood Method Incorporating Prior Information , 1986 .
[47] Clifford H. Thurber,et al. Parameter estimation and inverse problems , 2005 .
[48] D. Jorgensen. Geohydrologic Models of the Houston District, Texas , 1981 .
[49] G. Dagan. Flow and transport in porous formations , 1989 .
[50] Y. Rubin. Applied Stochastic Hydrogeology , 2003 .
[51] Srikanta Mishra,et al. Model Averaging Techniques for Quantifying Conceptual Model Uncertainty , 2010, Ground water.
[52] Abdolreza Bahremand,et al. Predictive Analysis and Simulation Uncertainty of a Distributed Hydrological Model , 2010 .
[53] John Doherty,et al. A short exploration of structural noise , 2010 .
[54] John Doherty,et al. Efficient regularization and uncertainty analysis using a global optimization methodology , 2010 .
[55] G. Mariéthoz,et al. Bayesian inverse problem and optimization with iterative spatial resampling , 2010 .
[56] Willem J. de Lange. Development of an analytic element ground water model of the Netherlands. , 2006 .
[57] David J. Dahlstrom. Calibration and Uncertainty Analysis for Complex Environmental Models , 2015 .
[58] R. Hunt,et al. Simulation of the recharge area for Frederick Springs, Dane County, Wisconsin , 2000 .
[59] Richard L. Cooley,et al. A method of estimating parameters and assessing reliability for models of steady state Groundwater flow: 2. Application of statistical analysis , 1979 .
[60] R. Hunt,et al. Approaches to highly parameterized inversion-A guide to using PEST for groundwater-model calibration , 2010 .
[61] Rangasami L. Kashyap,et al. Optimal Choice of AR and MA Parts in Autoregressive Moving Average Models , 1982, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[62] R. Hunt,et al. Using models for the optimization of hydrologic monitoring , 2011 .
[63] Mojdeh Delshad,et al. Comparison of ensemble filtering algorithms and null‐space Monte Carlo for parameter estimation and uncertainty quantification using CO2 sequestration data , 2013 .
[64] Richard L. Cooley,et al. Confidence Intervals for Ground‐Water Models Using Linearization, Likelihood, and Bootstrap Methods , 1997 .
[65] Joel Massmann,et al. Hydrogeological Decision Analysis: 1. A Framework , 1990 .
[66] Keith Beven,et al. Prophecy, reality and uncertainty in distributed hydrological modelling , 1993 .
[67] Alain Dassargues,et al. Conceptual model uncertainty in groundwater modeling: Combining generalized likelihood uncertainty estimation and Bayesian model averaging , 2008 .
[68] H. Akaike,et al. Information Theory and an Extension of the Maximum Likelihood Principle , 1973 .
[69] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[70] John Doherty,et al. Predictive uncertainty analysis of a saltwater intrusion model using null‐space Monte Carlo , 2011 .
[71] J. Minx,et al. Climate Change 2014 : Synthesis Report , 2014 .
[72] John Doherty,et al. Using Prediction Uncertainty Analysis to Design Hydrologic Monitoring Networks: Example Applications from the Great Lakes Water Availability Pilot Project , 2014 .
[73] C. Tiedeman,et al. Effective Groundwater Model Calibration: With Analysis of Data, Sensitivities, Predictions, and Uncertainty , 2007 .
[74] John Doherty,et al. Two statistics for evaluating parameter identifiability and error reduction , 2009 .
[76] Steen Christensen,et al. Evaluation of prediction intervals for expressing uncertainties in groundwater flow model predictions , 1999 .
[77] F. Pappenberger,et al. Ignorance is bliss: Or seven reasons not to use uncertainty analysis , 2006 .
[78] Hesham M. Bekhit,et al. Using Markov Chain Monte Carlo to quantify parameter uncertainty and its effect on predictions of a groundwater flow model , 2009, Environ. Model. Softw..
[79] G. Dagan. Statistical Theory of Groundwater Flow and Transport: Pore to Laboratory, Laboratory to Formation, and Formation to Regional Scale , 1986 .
[80] Daniel M. Tartakovsky,et al. Assessment and management of risk in subsurface hydrology: A review and perspective , 2013 .
[81] P. Kitanidis,et al. A Bayesian geostatistical transfer function approach to tracer test analysis , 2006 .
[82] Silvio Funtowicz,et al. Are all models wrong? , 2020, Computational and systems oncology.
[83] D. Krabbenhoft,et al. Obtaining parsimonious hydraulic conductivity fields using head and transport observations: A Bayesian geostatistical parameter estimation approach , 2009 .
[84] Joel Massmann,et al. Hydrogeological Decision Analysis: 2. Applications to Ground‐Water Contamination , 1991 .
[85] S. P. Neuman,et al. Maximum likelihood Bayesian averaging of uncertain model predictions , 2003 .
[86] D. Saad,et al. Numerical simulation of ground-water flow in La Crosse County, Wisconsin, and into nearby pools of the Mississippi River , 2003 .
[87] P. Kitanidis. Quasi‐Linear Geostatistical Theory for Inversing , 1995 .
[88] T. Yeh,et al. Hydraulic tomography: Development of a new aquifer test method , 2000 .
[89] R. Hunt,et al. Are Models Too Simple? Arguments for Increased Parameterization , 2007, Ground water.
[90] R. Hunt,et al. Viruses as Groundwater Tracers: Using Ecohydrology to Characterize Short Travel Times in Aquifers , 2014, Ground water.
[91] Randall J Hunt,et al. Taking Account of “Unknown Unknowns” , 2010, Ground water.
[92] Keith J. Beven,et al. Environmental Modelling: An Uncertain Future?: An Introduction to Techniques for Uncertainty Estimation in Environmental Prediction , 2010 .
[93] Carsten Montzka,et al. Uncertainties in the simulation of groundwater recharge at different scales , 2005 .
[94] Max Henrion,et al. Uncertainty: A Guide to Dealing with Uncertainty in Quantitative Risk and Policy Analysis , 1990 .
[95] Leslie Smith,et al. A Bayesian Approach to the quantification of the effect of model error on the predictions of groundwater models , 2001 .
[96] John Doherty,et al. Predictive error analysis for a water resource management model , 2007 .
[97] Forward Model Nonlinearity versus Inverse Model Nonlinearity , 2007, Ground water.
[98] D. Mallants,et al. Efficient posterior exploration of a high‐dimensional groundwater model from two‐stage Markov chain Monte Carlo simulation and polynomial chaos expansion , 2013 .
[99] Joel Massmann,et al. Hydrogeological Decision Analysis: 4. The Concept of Data Worth and Its Use in the Development of Site Investigation Strategies , 1992 .
[100] J. Doherty,et al. Role of the calibration process in reducing model predictive error , 2005 .
[101] Claire R. Tiedeman,et al. OPR-PPR, a Computer Program for Assessing Data Importance to Model Predictions Using Linear Statistics , 2014 .
[102] Mark Person,et al. Assessment of Long-Term Salinity Changes in an Irrigated Stream-Aquifer System , 1985 .
[103] David Hart,et al. Parameter estimation and predictive uncertainty in stochastic inverse modeling of groundwater flow: Comparing null‐space Monte Carlo and multiple starting point methods , 2013 .
[104] Victor A Kelson,et al. Improving a Regional Model Using Reduced Complexity and Parameter Estimation , 2002, Ground water.
[105] C. S. Wallace,et al. An Information Measure for Classification , 1968, Comput. J..
[106] Christian D Langevin,et al. Quantifying Data Worth Toward Reducing Predictive Uncertainty , 2010, Ground water.
[107] P. Kitanidis,et al. Hydraulic conductivity imaging from 3‐D transient hydraulic tomography at several pumping/observation densities , 2013 .
[108] Q. Kang,et al. Optimization and uncertainty assessment of strongly nonlinear groundwater models with high parameter dimensionality , 2010 .
[109] Cajo J. F. ter Braak,et al. Equifinality of formal (DREAM) and informal (GLUE) Bayesian approaches in hydrologic modeling? , 2009 .
[110] Keith Beven,et al. The future of distributed models: model calibration and uncertainty prediction. , 1992 .