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...
Main Authors: | Yongkai An, Yanxiang Zhang, Xueman Yan |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-08-01
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Series: | Water |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-4441/14/15/2447 |
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