Groundwater potentiality mapping using ensemble machine learning algorithms for sustainable groundwater management
Purpose – The present study aims to construct ensemble machine learning (EML) algorithms for groundwater potentiality mapping (GPM) in the Teesta River basin of Bangladesh, including random forest (RF) and random subspace (RSS). Design/methodology/approach – The RF and RSS models have been implement...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Emerald Publishing
2022-02-01
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| Series: | Frontiers in Engineering and Built Environment |
| Subjects: | |
| Online Access: | https://www.emerald.com/insight/content/doi/10.1108/FEBE-09-2021-0044/full/pdf |