A differential evolutionary Markov chain algorithm with ensemble smoother initial point selection for the identification of groundwater contaminant sources

Identification of groundwater contamination sources and hydraulic parameters based on bayesian regularization deep neural network

(2021) Zidong Pan et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Two-stage surrogate model-assisted Bayesian framework for groundwater contaminant source identification

(2021) Xue Jiang et al.   JOURNAL OF HYDROLOGY

Improving Simulation Efficiency of MCMC for Inverse Modeling of Hydrologic Systems with a Kalman‐Inspired Proposal Distribution

(2020) Jiangjiang Zhang et al.   WATER RESOURCES RESEARCH

Identifying groundwater contaminant sources based on a KELM surrogate model together with four heuristic optimization algorithms

(2020) Ying Zhao et al.   ADVANCES IN WATER RESOURCES

Groundwater contamination source identification based on a hybrid particle swarm optimization-extreme learning machine

(2020) Jiuhui Li et al.   JOURNAL OF HYDROLOGY

Heuristic search strategy based on probabilistic and geostatistical simulation approach for simultaneous identification of groundwater contaminant source and simulation model parameters

(2020) Han Wang et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Cyclic Feedback Updating Approach and Uncertainty Analysis for the Source Identification of DNAPL-Contaminated Aquifers

(2020) Zeyu Hou et al.   JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT

Deep autoregressive neural networks for high‐dimensional inverse problems in groundwater contaminant source identification

(2019) Shaoxing Mo et al.   WATER RESOURCES RESEARCH

Identification of groundwater contamination sources using a statistical algorithm based on an improved Kalman filter and simulation optimization

(2019) Jiuhui Li et al.   HYDROGEOLOGY JOURNAL

A Bayesian-based integrated approach for identifying groundwater contamination sources

(2019) Xueman Yan et al.   JOURNAL OF HYDROLOGY

Simultaneous identification of a contaminant source and hydraulic conductivity via the restart normal-score ensemble Kalman filter

(2018) Teng Xu et al.   ADVANCES IN WATER RESOURCES

An adaptive Gaussian process-based iterative ensemble smoother for data assimilation

(2018) Lei Ju et al.   ADVANCES IN WATER RESOURCES

A surrogate-based sensitivity quantification and Bayesian inversion of a regional groundwater flow model

(2018) Mingjie Chen et al.   JOURNAL OF HYDROLOGY

An iterative normal-score ensemble smoother for dealing with non-Gaussianity in data assimilation

(2018) Liangping Li et al.   JOURNAL OF HYDROLOGY

Identification of Groundwater Contamination Sources Using Meshfree RPCM Simulation and Particle Swarm Optimization

(2018) L. Guneshwor et al.   WATER RESOURCES MANAGEMENT

An Iterative Local Updating Ensemble Smoother for Estimation and Uncertainty Assessment of Hydrologic Model Parameters With Multimodal Distributions

(2018) Jiangjiang Zhang et al.   WATER RESOURCES RESEARCH

Joint identification of contaminant source and aquifer geometry in a sandbox experiment with the restart ensemble Kalman filter

(2018) Zi Chen et al.   JOURNAL OF HYDROLOGY

An adaptive surrogate modeling-based sampling strategy for parameter optimization and distribution estimation (ASMO-PODE)

(2017) Wei Gong et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Comparative study of surrogate models for groundwater contamination source identification at DNAPL-contaminated sites

(2017) Zeyu Hou et al.   HYDROGEOLOGY JOURNAL

An efficient surrogate-based simulation-optimization method for calibrating a regional MODFLOW model

(2017) Mingjie Chen et al.   JOURNAL OF HYDROLOGY

A Taylor Expansion-Based Adaptive Design Strategy for Global Surrogate Modeling With Applications in Groundwater Modeling

(2017) Shaoxing Mo et al.   WATER RESOURCES RESEARCH

Markov chain Monte Carlo simulation using the DREAM software package: Theory, concepts, and MATLAB implementation

(2016) Jasper A. Vrugt   ENVIRONMENTAL MODELLING & SOFTWARE

Source identification of sudden contamination based on the parameter uncertainty analysis

(2016) W. Guozhen et al.   JOURNAL OF HYDROINFORMATICS

A hybrid simulation–optimization approach for solving the areal groundwater pollution source identification problems

(2016) M. Tamer Ayvaz   JOURNAL OF HYDROLOGY

Joint identification of contaminant source location, initial release time, and initial solute concentration in an aquifer via ensemble Kalman filtering

(2016) Teng Xu et al.   WATER RESOURCES RESEARCH

An adaptive Gaussian process-based method for efficient Bayesian experimental design in groundwater contaminant source identification problems

(2016) Jiangjiang Zhang et al.   WATER RESOURCES RESEARCH

Optimal characterization of pollutant sources in contaminated aquifers by integrating sequential-monitoring-network design and source identification: methodology and an application in Australia

(2015) Om Prakash et al.   HYDROGEOLOGY JOURNAL

Efficient Bayesian experimental design for contaminant source identification

(2015) Jiangjiang Zhang et al.   WATER RESOURCES RESEARCH

A review of surrogate models and their application to groundwater modeling

(2015) M. J. Asher et al.   WATER RESOURCES RESEARCH

A Survey of Sparse Representation: Algorithms and Applications

(2015) Zheng Zhang et al.   IEEE Access

Ensemble smoother with multiple data assimilation

(2012) Alexandre A. Emerick et al.   COMPUTERS & GEOSCIENCES

A sparse grid based Bayesian method for contaminant source identification

(2011) Lingzao Zeng et al.   ADVANCES IN WATER RESOURCES

Bayesian Analysis for Uncertainty and Risk in a Groundwater Numerical Model's Predictions

(2011) Ji-Chun Wu et al.   HUMAN AND ECOLOGICAL RISK ASSESSMENT

Accelerating Markov Chain Monte Carlo Simulation by Differential Evolution with Self-Adaptive Randomized Subspace Sampling

(2011) J. A. Vrugt et al.   INTERNATIONAL JOURNAL OF NONLINEAR SCIENCES AND NUMERICAL SIMULATION

Inverse Modeling of Subsurface Flow and Transport Properties: A Review with New Developments

(2008) Jasper A. Vrugt et al.   VADOSE ZONE JOURNAL