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Heechan Han results 7 · Newest (Page 1/1, per page 25)
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Baseflow Separation for Improving Dam Inflow Prediction Using Data-Driven Models: A Case Study of Four Dams in South KoreaNARA Subscribed
Water Resources Management · 2025 · Vol. 39 · Issue 14 · Springer
Heechan Han; Heeseung Park; Donghyun Kim
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Temporal resolution enhancement of NDVI time series using machine learning approachesNARA Subscribed
Modeling Earth Systems and Environment · 2025 · Vol. 11 · Issue 5 · Springer
Soonchan Park; Changju Kim; Heechan Han
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Integrating machine learning for enhanced wildfire severity prediction: A study in the Upper Colorado River basinNARA Subscribed
Science of The Total Environment · 2024 · Vol. 952 · Elsevier
Heechan Han; Tadesse A. Abitew; Hadi Bazrkar; Seonggyu Park; Jaehak Jeong
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Flood risk assessment using an indicator based approach combined with flood risk maps and grid dataNARA Subscribed
Journal of Hydrology · 2023 · Vol. 627 · Elsevier
Won-joon Wang; Donghyun Kim; Heechan Han; Kyung Tak Kim; Soojun Kim; Hung Soo Kim
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Data-driven approaches for runoff prediction using distributed dataNARA Subscribed
Stochastic Environmental Research and Risk Assessment · 2022 · Vol. 36 · Issue 8 · Springer
Heechan Han; Ryan R. Morrison
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Is the deep-learning technique a completely alternative for the hydrological model?: A case study on Hyeongsan River Basin, KoreaNARA Subscribed
Stochastic Environmental Research and Risk Assessment · 2022 · Vol. 36 · Issue 6 · Springer
Jaewon Kwak; Heechan Han; Soojun Kim; Hung Soo Kim
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An experiment on reservoir representation schemes to improve hydrologic prediction: coupling the national water model with the HEC-ResSimNARA Subscribed
Hydrological Sciences Journal · 2020 · Vol. 65 · Issue 10 · Taylor & Francis
Jungho Kim; Laura Read; Lynn E. Johnson; David Gochis; Rob Cifelli; Heechan Han
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