Turbidity and suspended sediment relationship based on sediment composition and particle size distribution
Abstract High turbidity in rivers, intensified by extreme rainfall associated with climate change, poses a great challenge to water resource management globally. To manage and control turbidity events, prediction models have been developed utilizing suspended sediment (SS) data. However, traditional...
| Published in: | Scientific Reports |
|---|---|
| Main Authors: | Jongmin Kim, Siyoon Kwon, Sewoong Chung, Young Do Kim |
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-05-01
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| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-00435-2 |
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