Research

1. Rainfall Modeling

www.letitrain.info - The one-click-thousand-year-rainfall generator

  • Kim, D., Cho, H., Onof, C., & Choi, M. (2017). Let-It-Rain: a web application for stochastic point rainfall generation at ungaged basins and its applicability in runoff and flood modeling. Stochastic Environmental Research and Risk Assessment, 31(4), 1023-1043.
  • Kim, D., Olivera, F., Cho, H., & Socolofsky, S. A. (2013). Regionalization of the Modified Bartlett-Lewis Rectangular Pulse Stochastic Rainfall Model. Terrestrial, Atmospheric & Oceanic Sciences, 24(3).
  • Kim, D., Kwon, H. H., Lee, S. O., & Kim, S. (2016). Regionalization of the Modified Bartlett–Lewis rectangular pulse stochastic rainfall model across the Korean Peninsula. Journal of Hydro-environment Research, 11, 123-137.

The Hybrid Model - The universal rainfall generator that can be used for all types of disaster modeling (floods, droughts, landslides)

  • Park, J., Onof, C., & Kim, D. Review of Manuscript hess-2018-267 A Hybrid Stochastic Rainfall Model that Reproduces Rainfall Characteristics at Hourly through Yearly Time Scale.

Multi-fractal Space-Time Rainfall Downscaling

  • Lee, D., Lee, J., and Kim, D., Applicability of a Space-Time Rainfall Downscaling Algorithm Based on Multifractal Framework in Modeling Heavy Rainfall Events ain Korean Peninsula, Journal of Korea Water Resources Association, 47(9), 839-852
  • Song, H. Y., Kim, D. K., Kim, B. S., Hwang, S. H., & Kim, T. W. (2014). Hydrological Assessment of Multifractal Space-Time Rainfall Downscaling Model: Focusing on Application to the Upstream Watershed of Chungju Dam. Journal of Korea Water Resources Association, 47(10), 959-972.

2. Bridge Scour Estimation

TAMU-OMS: The Simplified Bridge Scour Estimation Tool

  • Govindasamy, A. V., Briaud, J. L., Kim, D., Olivera, F., Gardoni, P., & Delphia, J. (2012). Observation method for estimating future scour depth at existing bridges. Journal of Geotechnical and Geoenvironmental Engineering, 139(7), 1165-1175.
  • Briaud, J., Jung, I., Govindasamy, A., Kim, D., Lee, J. (2018). The Observation Method for Bridge Scour: Case Histories, International Journal of Geoengineering and Case Histories, Vol. 4, Issue 3, p.185-202. doi: 10.4417/IJGCH-04-03-03

3. Land Surface Modeling

Land Surface Modeling - Satellite Data Assimilation

  • Lee, J., Cho, H., Choi, M., & Kim, D. (2017). Development of Land Surface Model for Soyang river basin. Journal of Korea Water Resources Association, 50(12), 837-847.
  • Kim, D., Lee, J., Kim, H., & Choi, M. (2016). Spatial composition of AMSR2 soil moisture products by conditional merging technique with ground soil moisture data. Stochastic environmental research and risk assessment, 30(8), 2109-2126.

4. Satellite-SAR Imagery Application in Hydrology

Flooded Area Estimation

  • Publication coming soon.

Land Subsidence Estimation Due to Groundwater Extraction

  • Detection of Land Subsidence due to Excessive Groundwater Use Varying with Different Land Cover Types in Quetta valley, Pakistan Using ESA-Sentinel Satellite Data (Natural Hazards and Earth System Sciences, 3rd revision)

Stream flow discharge estimation using SAR satellite images

  • Seo, M., Ahmed, W., Kim., D., and Cha, J. Estimation of Streeam Flow Discharge Using the Satellite Synthetic Aperture Radar Images at the Mid to Small Size Streams in South Korea. Journal of Korea Water Resources Association, 2018(12).

5. Radar Precipitation Analysis

Radar Cell Tracking

  • Identification of merging and splitting characteristics of rain cells in space and time using the radar rainfall data

Design Parameter Estimation

  • Kim, J., Lee, J., Kim, D., and Kang, B., Role of rainfall spatial variability in estimating areal reduction factors, Journal of Hydrology,

6. Urban Flood Modeling

GoldenTime.pptx

Development of Urban Flood Early Warning System

  • Detection of Land Subsidence due to Excessive Groundwater Use Varying with Different Land Cover Types in Quetta valley, Pakistan Using ESA-Sentinel Satellite Data (Natural Hazards and Earth System Sciences, 3rd revision)

7. Some Other Fun Stuffs

3D Printer Application for Hydrologic Modeling