ANN-Based Predictors of ASR Well Recovery Effectiveness in Unconfined Aquifers
In this study, we present artificial neural networks (ANNs) to aid in a reconnaissance evaluation of an aquifer storage and recovery (ASR) well. Recovery effectiveness (REN) is the proportion of ASR-injected water recovered during subsequent extraction from the same well. ANN-based predictors allow...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-07-01
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Series: | Hydrology |
Subjects: | |
Online Access: | https://www.mdpi.com/2306-5338/10/7/151 |