Machine learning and topological kriging for river water quality data interpolation
Monitoring of river water quality data is crucial to prevent river water pollution. With limited sampling data, the statistical method of kriging interpolation is indispensable. This method can predict unsampled values based on interconnected surrounding values. Two types of kriging methods that can...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIMS Press
2025-02-01
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| Series: | AIMS Environmental Science |
| Subjects: | |
| Online Access: | https://www.aimspress.com/article/doi/10.3934/environsci.2025006 |
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