Publications

Journal Paper (Published)

  1. Yi, S., Kondolf, G.M. (2024). Environmental planning and the evolution of inter-basin water transfers in the United States. Front. Environ. Sci. 12:1489917. https://doi.org/10.3389/fenvs.2024.1489917
  2. Yi, S., Yi, J. (2024). Reservoir-based flood forecasting and warning: deep learning versus machine learning. Appl Water Sci 14, 237. https://doi.org/10.1007/s13201-024-02298-w
  3. Yi, S. (2024). Water Transfer Energy Efficiency Index for inter-basin water transfer projects. Water and Environment Journal, 38(3), 535–547. https://doi.org/10.1111/wej.12929
  4. Yi, S., Kondolf, G. M., Sandoval-Solis, S., & Dale, L. (2024). Groundwater Level Forecasting Using Machine Learning: A Case Study of the Baekje Weir in Four Major Rivers Project, South Korea. Water Resources Research, 60, e2022WR032779. https://doi.org/10.1029/2022WR032779
  5. Lee, E., Ji, J., Lee, S., Yoon, J., Yi, S., & Yi, J. (2023). Development of an Optimal Water Allocation Model for Reservoir System Operation. Water, 15(20), 3555. https://doi.org/10.3390/w15203555
  6. Lee, S., Choi, Y., Ji, J., Lee, E., Yi, S., & Yi, J. (2023). Flood Vulnerability Assessment of an Urban Area: A Case Study in Seoul, South Korea. Water, 15(11), 1979. https://doi.org/10.3390/w15111979
  7. Choi, Y., Ji, J., Lee, E., Lee, S., Yi, S., & Yi, J. (2023). Developing Optimal Reservoir Rule Curve for Hydropower Reservoir with an add-on Water Supply Function Using Improved Grey Wolf Optimizer. Water Resources Management. https://doi.org/10.1007/s11269-023-03478-0
  8. Chae, H., Ji, J., Lee, E., Lee, S., Choi, Y., Yi, S., & Yi, J. (2022). Assessment of activating reservoir emergency storage in climate-change-fueled extreme drought. Water, 14(20), 3242. https://doi.org/10.3390/w14203242
  9. Yi, S., Kondolf, G. M., Sandoval-Solis, S., & Dale, L. (2022). Application of machine learning-based energy use forecasting for inter-basin water transfer project. In Water Resources Management. https://doi.org/10.1007/s11269-022-03326-7
  10. Yang, L., Bai, X., Zheng Khanna, N., Yi, S., Hu, Y., Deng, J., Gao, H., Tuo, L., Xiang, S., & Zhou, N. (2018). Water evaluation and planning (WEAP) model application for exploring the water deficit at catchment level in Beijing. Desalination and Water Treatment, 118, 12–25. https://doi.org/10.5004/dwt.2018.22332

Journal Paper (Under Second Round of Review)

  1. Lee, S., Ji, J., Yi, S., Lee, E., Yoon, J., Yi, J. Predicting streamflow in ungauged basins using deep learning algorithms. Applied Water Science.

Journal Paper (Under First Round of Review)

  1. Yi, S., Yoon, J., Lee., C., Lee., S., Ji, J., Lee, E., Yi, J. Advancing flow duration curve prediction in ungauged basins using machine learning and deep learning. Hydrology and Earth System Sciences.
  2. Lee, E., Yi, S., Ji, J., Hong, J., Lee, S., Yoon, J., Yi, J. Development of reservoir operation model determining the pre-release strategy for the flood events. Journal of Hydroinformatics.
  3. Lee, E.; Ji, J., Yi, S., Lee, S., Yoon, J., Yi, J. Integrated simulation model for coordinated reservoir system operation and drought response. Water Research.

Journal paper (Preparation)

  1. Yi, S., Stanford, B., Yarnell, S., Zimmerman, J., Grantham, T. Evaluating Environmental Flows in the Central Valley Under Various Management Scenario. Journal of Environmental Sciences.
  2. Yi, S., Sandoval-Solis, S. Reservoir water balance simulation model using machine learning and deep learning algorithms. Journal of Hydrology.
  3. Lee, E., Ji, J., Yi, S., Lee, S., Yoon, J., Yi, J. Enhancing flood control and water management efficiency. Scientific Report.

Technical Report

Book Chapters

Conferences