研究论文
High flow prediction model integrating physically and deep learning based approaches with quasi real-time watershed data assimilation
Minyeob Jeong, Moonhyuk Kwon, Jun-Ho Cha, Dae‐Hong Kim
University of Seoul Korea Fisheries Resources Agency Ministry of Environment
来源Journal of Hydrology
年份2024
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学术脉络
学科主题
物理Hydrology and Watershed Management Studies
Flood Risk Assessment and Management · Hydrological Forecasting Using AI
参考文献 58
Long‐term precipitation database, Walnut Gulch Experimental Watershed, Arizona, United States
被引 151David C. Goodrich, T. Keefer, Carl L. Unkrich · Water Resources Research · 2008
Multi‐site calibration using a grid‐based event rainfall–runoff model: a case study of the upstream areas of the Nakdong River basin in Korea
被引 27Yun Seok Choi, Cheon Kyu Choi, Hung Soo Kim · Hydrological Processes · 2014
Modeling erosion and sedimentation coupled with hydrological and overland flow processes at the watershed scale
被引 82Jongho Kim, V. Y. Ivanov, Nikolaos D. Katopodes · Water Resources Research · 2013
此处列出前 3 条
引用本文 14
A hybrid approach for enhanced flood prediction and assessment: Leveraging physical models, deep learning and satellite remote sensing
被引 22Mohammad Roohi, Hamid Reza Ghafouri, Seyed Mohammad Ashrafi · Big Earth Data · 2025
Predictive Performance of Ensemble Learning Boosting Techniques in Daily Streamflow Simulation
被引 20Divya Chandran, N. R. Chithra · Water Resources Management · 2024
Flood prediction in an ungauged watershed: A case study of the naengcheon watershed, Korea
被引 3Minyeob Jeong, Hyun Seung Kim, Dae‐Hong Kim · KSCE Journal of Civil Engineering · 2025
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