An optimized ensemble ML-WQI model for reliable water quality prediction by minimizing the eclipsing and ambiguity issues
Abstract Monitoring water quality is essential for the sustenance of the ecosystem and various forms of life on Earth. The water quality index (WQI) models are the widely adopted approach to water quality monitoring. However, they received much criticism for the reliability and inconsistency of the...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-04-01
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| Series: | Applied Water Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s13201-025-02450-0 |
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