Sooyeon Yi, Ph.D.

Sooyeon Yi, Ph.D.

Postdoctoral Researcher

Portfolio item number 1

Publications TEST

Journal paper (Published)

  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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 ^^ and first ^ review)

  • ^^ Yi, S., Yi, J. Reservoir-based flood forecasting and warning using machine learning and deep learning techniques . Applied Water Science.
  • ^ Yi, S., Kondolf, M. Environmental Planning in U.S. Inter-Basin Water Transfer Projects. Frontiers in Environmental Science.
  • ^ Yi, S., Lee, J., Lee., C., Lee., Lee., S., Ji, J., Lee, E., Yi., J. Predicting flow regime alterations post-dam removal: A machine learning approach incorporating land use and cover dynamics. International Journal of Water Resources Development.
  • ^ Lee, S., Ji, J., Lee, E., Lee, J., Yi, S., Yi, J. Predicting streamflow in ungauged basins using deep learning algorithms. Applied Water Science.
  • ^ Lee, E., Yi, S., Ji, J., Hong, J., Lee, S., Lee, J., Yi, J. Development of reservoir operation model determining the pre-release strategy for the flood events. Journal of Hydroinformatics.

Journal paper (Preparation)

  • 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.
  • Yi, S., Solis, S. Reservoir water balance simulation model using machine learning and deep learning algorithms. Journal of Hydrology
  • Yi, S., Solis, S., Bombardelli, F., Puente, C. Water resources management in the Apurímac River Basin: One-bucket model approach. Water.
  • Yi, S., Lisa, T., Kilduff, P., Solis, S. WEAPhish: Integrating water resources and fish population dynamics tools. Journal of Hydroinformatics.
  • Lee, E.; Ji, J., Yi, S., Choi, Y., Lee, S., Yi, J. Development of a water allocation estimation model for reservoirs utilizing rule curves: A case study of the Han River Basin. Hydrology earth system sciences.
  • Lee, E., Ji, J., Yi, S., Lee, S., Lee, J., Yi, J. Enhancing flood control and water management efficiency. Scientific Report.

Technical Report

  • Lisa, T., Kilduff, P., Solis, S. Yi, S., Modeling Tool to Assess and Mitigate the Effect of Small Hydropower on Stream Fishes in Changing California Climate, California Energy Commission, Online Report. June 2015.
  • Radke, J., Biging, G., Roberts, K., Schmidt-Poolman, M., Foster, H., Roe, E., Ju, Y., Lindbergh, S., Beach, T., Maier, L., He, Y., Ashenfarb, M., Norton, P., Wray, M., Alruheili, A., Yi, S., Rau, R., Collins, J., Radke, D., Coufal, M., Marx, S., Gohar, A., Moanga, D., Ulyashin, V., Dalal, A., 2018. Assessing Extreme Weather-Related Vulnerability and Identifying Resilience Options for California’s Interdependent Transportation Fuel Sector (Technical Report No. CCCA4- CEC-2018– 012). State of California Energy Commission.

Book Chapters

  • Lund, J., Hui, R., Escriva, A., Porse, E., Adams, L., Connaughton, J., Kasuri, L., Lord, B., Siegfried, L., Thayer, R., Solis, S., Yi, S. Reservoir operation design. Chapter 124, Handbook of Applied Hydrology, February 2015.
  • Yi, S., Yi, J. Water Resources Management in South Korea. Chapter 10, Integrated Water Resource Management: Cases from Africa, Asia, Australia, Latin America and USA, July 2019.