An Integrated Bayesian and Machine Learning Approach Application to Identification of Groundwater Contamination Source Parameters

An Integrated Bayesian and Machine Learning Approach Application to Identification of Groundwater Contamination Source Parameters

The identification of groundwater contamination source parameters is an important prerequisite for the control and risk assessment of groundwater contamination. This study developed an innovative approach for the optimal design of observation well locations and the high-precision identification of g...

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Bibliographic Details
Main Authors: Yongkai An, Yanxiang Zhang, Xueman Yan
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Water
Subjects:
groundwater contamination source identification
Bayesian
Markov Chain Monte Carlo
surrogate model
multi-layer perceptron
Online Access:https://www.mdpi.com/2073-4441/14/15/2447

Internet

https://www.mdpi.com/2073-4441/14/15/2447

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