People

Professor

Dongkyun Kim, Ph.D.

Professor,

Department of Civil Engineering

Hongik University, Mapo-Gu, Seoul, Korea

Education

B.S Hanyang University, Korea, 2001

M.S. Stanford University, US, 2003

Ph.D. Texas A&M University, US, 2009

Reseach Specialty

Stochastic hydrology

Hydrologic modeling

Natural disaster prediction and risk management

Data-driven hydrology

Roles in Academic Society

Associate Editor, Stochastic Environmental Research and Risk Analysis (SERRA), Associate Editor, Theoretical and Applied Climatology (TAAC)

Expert Advisor, National Strategic Research Bureau, National Research Foundation of Korea

Curriculum Vitae

Post-Doctoral Researcher

Jeongha Park (Ph.D., 2023), PostDoc at Imperial College London, UK

Park, J., & Kim, D.* (2022). A Stochastic Approach to Simulate Realistic Continuous Snow Depth Time Series. Journal of Hydrology, 128980. https://www.sciencedirect.com/science/article/abs/pii/S0022169422015505

Park, J., Cross, D., Onof, C., Chen, Y., Kim, D.* (2021) A simple scheme to adjust Poisson cluster rectangular pulse rainfall models for improved performance at sub-hourly timescales, Journal of Hydrology, https://www.sciencedirect.com/science/article/pii/S0022169421003437

Anh, D., Kim, D*, Kim, S., and Park, J. (2020) Determination of flood-inducing rainfall and runoff for highly urbanized area based on high-resolution radar-gauge composite rainfall data and flooded area GIS Data, Journal of Hydrology, 584(5), https://doi.org/10.1016/j.jhydrol.2020.124704

Park, J., Onof, C., and Kim, D*., A hybrid stochastic rainfall model that reproduces some important rainfall characteristics at hourly to yearly timescales, Hydrol. Earth Syst. Sci., 23, 989-1014, https://doi.org/10.5194/hess-23-989-2019, 2019.

Selected Presentations

"Stochastic Simulation of Realistic Continuous Snow Depth Time Series "

"Stochastic simulation of future sub-hourly rainfall using Poisson cluster rainfall model"

Ph.D. Degree Students