Publications

Journal Articles

  1. Hwang, J., Lall, U. (2023). Assessing Precipitation Trends that may inform Aging Dam Overtopping across the USA. Under Review.
  2. Hwang, J., Devineni, N. (2023). Quantifying the Spatial Coherence of Deficit and Excess Rainfall across the Continental United States. Under Review.
  3. Ruhi, A., Hwang, J., Devineni, N., Mukhopadhyay, S., Kumar, H., Comte, L., Worland, S., Sankarasubramanian, A. (2022). How does flow alteration propagate across a large, highly regulated basin? Dam attributes, network context, and implications for biodiversity. Earth’s Future, e2021EF002490.
  4. Hwang, J., & Devineni, N. (2022). An improved Zhang’s Dynamic Water Balance Model using Budyko‐based snow representation for better streamflow predictions. Water Resources Research, e2021WR030203.
  5. Kumar, H., Hwang, J., Devineni, N., & Sankarasubramanian, A. (2022). Dynamic Flow Alteration Index for Complex River Networks With Cascading Reservoir Systems. Water Resources Research, 58(1), e2021WR030491.
  6. Hwang, J., Kumar, H., Ruhi, A., Sankarasubramanian, A., & Devineni, N. (2021). Quantifying Dam‐Induced Fluctuations in Streamflow Frequencies Across the Colorado River Basin. Water Resources Research, 57(10), e2021WR029753.

Conference Proceedings and Presentations

  • Hwang, J., & Devineni, N. (2020). An improved Zhang’s Water Balance Model using Budyko based snow representation and time varying parameterization for better streamflow predictions. In AGU Fall Meeting Abstracts, 2020, H072 08 (oral presentation).
  • Hwang, J., & Devineni, N. (2019). Quantifying the Spatial Coherence of Deficit and Excess Rainfall Across the Continental United States. In AGU Fall Meeting Abstracts, 2019, H11G 04 (oral presentation).
  • Ruhi, A., Hwang, J., Devineni, N., Mukhopadhyay, S., Kumar, H., Comte, L., Worland, S., and Sankarasubramanian, A. (2019). How does flow alteration propagate across a large, highly regulated basin? Dam attributes, network context, and implications for biodiversity. In AGU Fall Meeting Abstracts, 2019, H23N 2086.
  • Hwang, J., Lee, J. H., & Cho, Y. S. (2015). Numerical prediction of scouring depth around foundations of offshore structures. International Conference on Offshore Mechanics and Arctic Engineering (Vol. 56475, p. V001T10A003). American Society of Mechanical Engineers (oral presentation).
  • Hwang, J., Kim, S. J., & Cho, Y. S. (2015). Numerical Model Using VOF Multiphase Model for Scouring Around Offshore Structures. Korean Society Of Hazard Mitigation (oral presentation).

Thesis Report

  1. Hwang, J. (2021). Understanding the Effect of Climate and Hydrometeorological Extremes on Natural and Human-Induced Hydrosystems. Ph.D. Dissertation. Department of Civil Engineering, The City College of New York, City University of New York, New York, USA.
  2. Hwang, J. (2016). Scouring Prediction Using VOF Multiphase Model for Offshore Structures. M.S. Thesis. Department of Civil and Environmental Engineering, Hanyang University, Seoul, Republic of Korea.
  3. Hwang, J. (2013). Structural Design of Submerged Breakwater using Precast Concrete. Capstone Design Project. Department of Civil Engineering, Konkuk University, Seoul, Republic of Korea.

Last Update: 02/09/2023