Groundwater contaminant source identification based on an ensemble learning search framework associated with an auto xgboost surrogate

Z Pan, W Lu, H Wang, Y Bai - Environmental Modelling & Software, 2023 - Elsevier
Groundwater contaminant source identification (GCSI) is commonly accompanied by search
process which tweaks the unknown contaminant source information to match the simulation …

Simultaneous identification of groundwater contaminant source and simulation model parameters based on an ensemble Kalman filter–adaptive step length ant …

Z Wang, W Lu, Z Chang, H Wang - Journal of Hydrology, 2022 - Elsevier
The simulation–optimization (Ssingle bondO) method is the most widely used method for
groundwater contaminant source identification. However, the heuristic optimization …

Machine learning for groundwater pollution source identification and monitoring network optimization

YN Kontos, T Kassandros, K Perifanos… - Neural Computing and …, 2022 - Springer
The identification of the source in groundwater pollution is the only way to drastically deal
with resulting environmental problems. This can only be achieved by an appropriate …

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

Z Chang, W Lu, Z Wang - Journal of Hydrology, 2021 - Elsevier
Groundwater contaminant source identification (GCSI) can provide support for the
confirmation of responsibility and the remediation of pollution. This study has developed an …

A combined search method based on a deep learning combined surrogate model for groundwater DNAPL contamination source identification

Z Wang, W Lu, Z Chang, J Luo - Journal of Hydrology, 2023 - Elsevier
Abstract Ensemble Kalman filter (EnKF) and optimization methods are two mainstream
methods in groundwater contamination source identification, but most researchers usually …

Recognition of a linear source contamination based on a mixed-integer stacked chaos gate recurrent unit neural network–hybrid sparrow search algorithm

Z Pan, W Lu, H Wang, Y Bai - Environmental Science and Pollution …, 2022 - Springer
Groundwater contamination source recognition involves the recovery of contamination
source time series release histories from observation data. In the present study, a linear …

Simultaneous identification of groundwater pollution source spatial–temporal characteristics and hydraulic parameters based on deep regularization neural network …

Z Pan, W Lu, Z Chang - Journal of Hydrology, 2021 - Elsevier
The prerequisites for groundwater pollution remediation include providing accurate
identification of hydraulic parameters of the contaminated site and retrospecting pollution …

Study on drying characteristics and moisture content prediction model of Panax notoginseng taproot by using segmented drying of microwave vacuum combined with …

F Zhang, L Shi, L Xin, L Li, L Tian… - Journal of Food …, 2022 - Wiley Online Library
In order to explore the drying characteristics of Panax notoginseng taproot (PNT) and realize
the dynamic monitoring of moisture content in the segmented drying process of microwave …

Simulation of Quantity and Quality of Saq Aquifer Using Artificial Intelligence and Hydraulic Models

AR Ghumman, GA Pasha… - Advances in Civil …, 2022 - Wiley Online Library
Scarcity of water resources is becoming a threatening issue in arid regions like Gulf.
Accurate prediction of quantities and quality of groundwater is the first step towards better …

A comparison of inversion methods for surrogate‐based groundwater contamination source identification with varying degrees of model complexity

Z Chang, Z Guo, K Chen, Z Wang… - Water Resources …, 2024 - Wiley Online Library
Accurate identification of groundwater contamination sources is important for designing
efficacious site remediation strategies. Currently, the methods for identifying contamination …