Sunkwon Yoon | Water Resources Engineering | Best Researcher Award

Dr. Sunkwon Yoon | Water Resources Engineering | Best Researcher Award

Research Fellow | The Seoul Institute | South Korea

Dr. Sunkwon Yoon’s research career demonstrates extensive contributions to hydrology, climate science, and urban water management, with a focus on developing adaptive technologies to mitigate the impacts of climate change. His research projects span smart water management systems, integrated flood risk assessment, and the design of resilient urban hydrologic infrastructures. As a principal investigator at the APEC Climate Center, he led international projects such as the development of smart water management solutions for the Kingdom of Tonga, integrating climate information to address water scarcity, and predictive systems for mud and debris flow considering urban characteristics. His work also includes advanced modeling techniques for flood forecasting, drought assessment, and inland-river systems management, emphasizing the application of stochastic and statistical hydrology to real-world problems. At the Seoul Institute of Technology and earlier at KAIST, his research explored risk-based water management, green growth initiatives, and climate-resilient urban development. His primary research interests include urban hydrology, smart water technology, flood and drought frequency analysis, and hydrometeorological variability linked to global climate phenomena such as ENSO and the Indian Ocean Dipole. Dr. Yoon’s studies have contributed significantly to improving prediction accuracy for extreme weather events, enhancing water security, and formulating sustainable water policies for urban resilience. Through collaborative efforts across government and international organizations, his experience bridges scientific modeling and policy-driven decision-making for disaster risk reduction. His ongoing focus on integrating hydrologic modeling with data-driven approaches reflects a commitment to advancing sustainable and adaptive water resource management under the evolving challenges of climate variability.

Profile: Google Scholar
Featured Publications:
  • Kim, J. P., Jung, I. W., Park, K. W., Yoon, S. K., & Lee, D. (2016). Hydrological utility and uncertainty of multi-satellite precipitation products in the mountainous region of South Korea. Remote Sensing, 8(7), 608.

  • Kim, J. S., Jain, S., & Yoon, S. K. (2012). Warm season streamflow variability in the Korean Han River Basin: Links with atmospheric teleconnections. International Journal of Climatology, 32(4), 635–640.

  • Moon, H., Yoon, S., & Moon, Y. (2023). Urban flood forecasting using a hybrid modeling approach based on a deep learning technique. Journal of Hydroinformatics, 25(2), 593–610.

  • Lee, T., Ouarda, T. B. M. J., & Yoon, S. (2017). KNN-based local linear regression for the analysis and simulation of low flow extremes under climatic influence. Climate Dynamics, 49(9), 3493–3511.

  • Yoon, S. K., Kim, J. S., & Moon, Y. I. (2014). Integrated flood risk analysis in a changing climate: A case study from the Korean Han River Basin. KSCE Journal of Civil Engineering, 18(5), 1563–1571.