Sediment Transport
with Machine Learning

기계학습 기법을 활용한 유사량 이송 메커니즘 규명 및 경험적 모델 개발

• Noh, H., Park, Y. S., & Seo, I. W. (2023). A Novel Efficient Method of Estimating Suspended-To-Total Sediment Load Fraction in Natural Rivers. Water Resources Research, 59, e2022WR034401. https://doi.org/10.1029/2022WR034401

Open-access Software

https://github.com/hyoddubi1/Fsus-sediment-fraction-models

자연하천에서 부정류 특성과 기계학습 기법을 활용한 실시간 유사량 산정 기술 개발

• Noh, H., Son, G., Kim, D., & Park, Y. S. (2024). H-ADCP-based real-time sediment load monitoring system using support vector regression calibrated by global optimization technique and its applications. Advances in Water Resources, 185, 104636. https://doi.org/10.1016/j.advwatres.2024.104636

Open-access Software

PyGOSH (MOSGO-SVR, Global optimization, SOM-GMM, etc.)

https://github.com/hyoddubi1/pyGOSH

유효 변수 조합 및 기계학습 모형 동시 최적화 기술 개발

• Noh, H., Park, Y. S., & Seo, I. W. (2023). A Novel Efficient Method of Estimating Suspended-To-Total Sediment Load Fraction in Natural Rivers. Water Resources Research, 59, e2022WR034401. https://doi.org/10.1029/2022WR034401

• Noh, H., Son, G., Kim, D., & Park, Y. S. (2024). H-ADCP-based real-time sediment load monitoring system using support vector regression calibrated by global optimization technique and its applications. Advances in Water Resources, 185, 104636. https://doi.org/10.1016/j.advwatres.2024.104636

Open-access Software

PyGOSH (MOSGO-SVR, Global optimization, SOM-GMM, etc.)

https://github.com/hyoddubi1/pyGOSH

RGB 드론 또는 초분광 카메라를 활용한 부유사 모니터링 기술 개발

• Noh, H., Kwon, S., Park, Y. S., & Woo, S. B. (2024). Application of RGB UAV imagery to sea surface suspended sediment concentration monitoring in coastal construction site. Applied Ocean Research, 145, 103940. https://doi.org/10.1016/j.apor.2024.103940