Sang-hyun Lee
- RESEARCH
- Hydrologic and Environmental Modeling
- POSITION
- Assistant Professor
- TEL
- 063-270-2522
- FAX
- 063-270-2517
- EMAIL
- sanghyun.lee@jbnu.ac.kr
- SITE
- OFFICE(LAB)
- Room 224, Main Building, College of Agriculture and Life Sciences
Education
- Ph.D. in Agricultural & Biological Engineering, University of Illinois at Urbana-Champaign, USA
- M.S. Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, USA
- B.S. in Civil and Environmental Engineering, Dankook University, Korea
Professional Experience
Mar 2025 – Present: Professor, Department of Regional Construction Engineering, Jeonbuk National University, Korea
Nov. 2025 – Nov. 2027: Member, Provincial Construction Technology Deliberation Committee, Jeonbuk Special Self-Governing Province, Korea
Apr 2025 – Apr 2027: Member, Technical Review Committee, K-water
Apr 2025 – Apr 2028: Member, Jangsu-gun Local Small River Management Committee
Jan 2023 – Feb 2025: Postdoctoral Research Associate, USDA Agricultural Research Service (USDA-ARS), USA
Jul 2022 – Nov 2022: Postdoctoral Researcher, University of California, Riverside, USA
Aug 2015 – May 2022: Research Assistant, University of Illinois at Urbana–Champaign, USA
Research Interests
- Hydrologic and environmental modeling
- Impact of climate and land-use change on hydrological processes
- Soil erosion and sediment transport analysis in agricultural landscapes
- Natural disaster assessment and prediction using AI and satellite remote sensing
Research Projects
- Assessment of Agricultural Water Demand and Supply in the Nakdong River and Youngsang Regions, Korea Rural Community Corporation (KRC), 2025–2027
- Development of a Flood Overtopping Prediction System and DNA-Based Smart Reservoir Operation Platform, Korea Institute of Planning and Evaluation for Technology in Food, Agriculture and Forestry (IPET), 2025–2029
Publications
- Lee, S., Danandeh Mehr, A., Moriasi, D., & Mirchi, A. (2025). Large-scale drought forecasting in the U.S. Southern Plains through a hybrid cluster-based Wavelet-Machine learning approach. Water Resources Research. 61(11), e2024WR039744.
- Lee, S., Moriasi, D., Cibils, A. & Barker, P. (2025). Increasing frequency and spatial extent of cattle heat stress conditions in the Southern Plains of the USA. Scientific Reports. 15, 15135. http://doi.org/10.1038/s41598-025-99621-5
- Lee, S., Moriasi, D., Fortuna, A., Mirchi, A., Danandeh Mehr, A., Chu, M., Guzman, J., & Starks, P. (2025). Modeling the impacts of measured and projected climate and management systems on agricultural fields: Surface runoff, soil moisture, and soil erosion. Journal of Environmental Quality. 54(1), 147–159. https://doi.org/10.1002/jeq2.20565
- Lee, S., Nourani, V., Danandeh Mehr, A., Moriasi, D., Mirchi, A. (2024). Wavelet-entropy enhanced clustering: A comprehensive analysis of drought patterns in the Southern Plains, USA. Journal of Hydrometeorology. 25(12), 1809-1822. https://doi.org/10.1175/JHM-D-24-0041.1
- Lee, S., Moriasi, D., Danandeh Mehr, A., & Mirchi, A. (2024). Sensitivity of Standardized Precipitation and Evapotranspiration Index (SPEI) to the choice of SPEI probability distribution and evapotranspiration method. Journal of Hydrology: Regional Studies. 53, 101761. https://doi.org/10.1016/j.ejrh.2024.101761
- van Riper, C.J., Foelske, L., Leitschuh, B., Lee, S., Sharma, S., Shin, S., Pollock, H., Chu, M., & Stewart, W. (2024). Understanding the spatial dynamics of values and disvalues in the Kaskaskia River Watershed, USA through a social-ecological lens. Ecosystems and People. 20(1), 2309391. https://doi.org/10.1080/26395916.2024.2309391
- Lee, S., & Ajami, H. (2023). Comprehensive assessment of baseflow responses to long-term meteorological droughts across the United States. Journal of Hydrology. 626, 130256. https://doi.org/10.1016/j.jhydrol.2023.130256
- Lee, S., Chu, M. L., Guzman, J. A., Flanagan D. C., Moriasi, D., Fortuna, A., & Starks, P. (2023). Integrated modeling for simulating sediment production and transport in agricultural landscapes. Environmental Modelling and Software. 160, 105605. https://doi.org/10.1016/j.envsoft.2022.105605
- Lee, S., Chu, M. L., Guzman, J. A., & Flanagan D. C. (2022). Modeling soil erodibility and critical shear stress parameters for soil loss estimation. Soil & Tillage Research, 218, 105292. https://doi.org/10.1016/j.still.2021.105292
- Lee, S., Chu, M. L., & Guzman, J. A. (2021). Sediment fate and transport: Influence of sediment source and rainfall. Journal of Hydrology, 594, 125980. https://doi.org/10.1016/j.jhydrol.2021.125980
- Lee, S., Chu, M. L., Guzman, J. A., & Botero-Acosta, A. (2021). A comprehensive modeling framework to evaluate soil erosion by water and tillage. Journal of Environmental Management, 279, 111631. https://doi.org/10.1016/j.jenvman.2020.111631
- Lee, S., Chu, M. L., & Schmidt, A. R. (2020). Effective Green-Ampt parameters for two-layered soils. Journal of Hydrologic Engineering, 25(4), 04020004. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001897
Books & Book Chapters
Honors & Awards