Search Results - "Chang, Zhenbo"

Simultaneous identification of groundwater contaminant source and simulation model parameters based on an ensemble Kalman filter – Adaptive step length ant colony optimization algorithm by Wang, Zibo, Lu, Wenxi, Chang, Zhenbo, Wang, Han

“…•Construct an EnKF-ASACO algorithm to identify the pollution source characteristics and simulation model parameters simultaneously.•Adopt the EnKF algorithm to…”
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Groundwater contamination source identification based on a hybrid particle swarm optimization-extreme learning machine by Li, Jiuhui, Lu, Wenxi, Wang, Han, Fan, Yue, Chang, Zhenbo

“…•Improve the extreme learning machine by particle swarm optimization.•Applying PSO-ELM to establish surrogate model for numerical simulation model.•The…”
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A combined search method based on a deep learning combined surrogate model for groundwater DNAPL contamination source identification by Wang, Zibo, Lu, Wenxi, Chang, Zhenbo, Luo, Jiannan

“…•Construct an IBOA by introducing the dynamic switching probability mechanism in the previous BOA.•Construct a CSM by combining the EnKF and optimization…”
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A differential evolutionary Markov chain algorithm with ensemble smoother initial point selection for the identification of groundwater contaminant sources by Chang, Zhenbo, Lu, Wenxi, Wang, Zibo

“…•The ES and DEMC algorithms are innovatively combined to identify groundwater pollution source characteristics and model parameters simultaneously.•The ES…”
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Joint identification of groundwater pollution source information, model parameters, and boundary conditions based on a novel ES-MDA with a wheel battle strategy by Wang, Zibo, Lu, Wenxi, Chang, Zhenbo, Zhang, Tao

“…•First trial to jointly identify three types of unknown variables (source information, model parameters, and boundary conditions).•Propose a novel ES-MDA with…”
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Simultaneous identification of groundwater pollution source spatial–temporal characteristics and hydraulic parameters based on deep regularization neural network-hybrid heuristic algorithm by Pan, Zidong, Lu, Wenxi, Chang, Zhenbo, wang, Han

“…•GPSI mostly considered known initial release time, which was set to unknown in the present study.•Employing the DRNN to substitute simulation model could…”
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Joint inverse estimation of groundwater pollution source characteristics and model parameters based on an intelligent particle filter by Wang, Zibo, Lu, Wenxi, Chang, Zhenbo

“…•Construct an IPF method for GPSE by making two improvements to the general PF method.•Embed the artificial intelligence deep learning surrogate model into the…”
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Physics-informed identification of PDEs with LASSO regression, examples of groundwater-related equations by Zhan, Yang, Guo, Zhilin, Yan, Bicheng, Chen, Kewei, Chang, Zhenbo, Babovic, Vladan, Zheng, Chunmiao

“…•A sequential PDE identification method PHY-PDE was proposed considering mass conservation and parameter dimension.•PDEs with both constant and non-constant…”
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Simultaneous identification of groundwater contaminant sources and simulation of model parameters based on an improved single-component adaptive Metropolis algorithm by Chang, Zhenbo, Lu, Wenxi, Wang, Han, Li, Jiuhui, Luo, Jiannan

“…The Bayesian approach is attractive because it can consider various uncertainties in the inverse process. Although the Bayesian algorithm has strong random…”
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A Comparison of Inversion Methods for Surrogate‐Based Groundwater Contamination Source Identification With Varying Degrees of Model Complexity by Chang, Zhenbo, Guo, Zhilin, Chen, Kewei, Wang, Zibo, Zhan, Yang, Lu, Wenxi, Zheng, Chunmiao

“…Accurate identification of groundwater contamination sources is important for designing efficacious site remediation strategies. Currently, the methods for…”
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Treatment of paraffin deposition behavior in gas-condensate wells with chemical inhibitors by Shi, Bowen, Hong, Jiajun, Wang, Zhihua, Chang, Zhenbo, Li, Feng

“…As deep gas-condensate reservoirs are explored, the problem of paraffin deposition is becoming more prominent. Therefore, this paper collects condensate…”
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Application of observed data denoising based on variational mode decomposition in groundwater pollution source recognition by Wang, Zibo, Lu, Wenxi, Chang, Zhenbo

“…Groundwater pollution source recognition (GPSR) is a prerequisite for subsequent pollution remediation and risk assessment work. The actual observed data are…”
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Study on source identification and source-sink relationship of LNAPLs pollution in groundwater by the adaptive cyclic improved iterative process and Monte Carlo stochastic simulation by Chang, Zhenbo, Lu, Wenxi, Wang, Zibo

“…•Biodegradation is considered in the transport of LNAPLs by adding a biodegradation model.•The VDGS method is used to optimize the hyperparameters of ResNet-18…”
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Simultaneous identification of groundwater contamination source information, model parameters, and boundary conditions under an unknown boundary mode by Wang, Zibo, Lu, Wenxi, Chang, Zhenbo, Bai, Yukun, Xu, Yaning

“…Boundary conditions play a crucial role in groundwater contamination source identification (GCSI), but they may be complex and reliable estimates are difficult…”
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Simultaneous identification of groundwater contamination source and aquifer parameters with a new weighted–average wavelet variable–threshold denoising method by Wang, Han, Lu, Wenxi, Chang, Zhenbo

“…This paper first proposed a parallel heuristic search strategy for simultaneous identification of groundwater contamination source and aquifer parameters. As…”
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An iterative updating heuristic search strategy for groundwater contamination source identification based on an ACPSO–ELM surrogate system by Wang, Han, Lu, Wenxi, Chang, Zhenbo

“…The simulation-random statistics (SRS) method is one of the effective approaches to solving groundwater contamination source identification (GCSI) challenges…”
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Heuristic search strategy based on probabilistic and geostatistical simulation approach for simultaneous identification of groundwater contaminant source and simulation model parameters by Wang, Han, Lu, Wenxi, Chang, Zhenbo, Li, Jiuhui

“…In this study, a heuristic search strategy based on probabilistic and geostatistical simulation approach is developed for simultaneous identification of…”
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Uncertainty analysis of parameters in non‐point source pollution simulation: case study of the application of the Soil and Water Assessment Tool model to Yitong River watershed in northeast China by Yan, Xueman, Lu, Wenxi, An, Yongkai, Chang, Zhenbo

“…Uncertainty analysis of the model parameters in non‐point source pollution (NPSP) simulation is important because of its great effects on predictions and…”
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Impacts of Land Surface Nitrogen Input on Groundwater Quality in the North China Plain by Wu, Rixin, Guo, Zhilin, Zhan, Yang, Cao, Guoliang, Chen, Kewei, Chang, Zhenbo, Li, Hongkai, He, Xin, Zheng, Chunmiao

“…The North China Plain (NCP) has been facing declining groundwater levels and increasing nitrate contamination over the past few decades. Understanding the…”
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