Prof. M. Levent Kavvas

University of California, USA

UCD Hydrologic Research Laboratory

J. Amorocho Hydraulics Laboratory

E-mail: [email protected]

Qualifications

Ph.D., Civil Engineering, in the Hydraulics and Systems area; Purdue University, W. Lafayette, Indiana (as Fulbright Scholar and Purdue University Victor O’Schaunessy Fellow)

M.S., Civil Engineering, in the Hydrology and Water Resources Program, Colorado State University, Ft. Collins, Colorado (as Fulbright Scholar)

Publications (Selected)

1. Snider, E., Iseri, Y., Anderson, M. L., & Kavvas, M. L. (2025). Maximizing Precipitation and Flood Estimation in the American River Watershed through a Total Storm Approach of Optimizing Historical Atmospheric Rivers.
2. Meza, J., & Kavvas, M. L. (2023). Ensemble modeling of the two-dimensional stochastic confined groundwater flow through the evolution of the hydraulic head's probability density function.
3. Snider, E., Iseri, Y., Trinh, T., Anderson, M. L., & Kavvas, M. L. (2024). Reconstructing 169 years of historical atmospheric and hydrologic conditions in the American River Watershed through the Watershed Environmental Hydrology Hydro-Climate Model system. Frontiers in Water, 6, 1445722.
4. Hiraga, Y., Iseri, Y., Warner, M. D., Duren, A. M., England, J. F., Frans, C. D., & Kavvas, M. L. (2024). Model‐based estimation of long‐duration design precipitation for basins with large storage volumes of reservoirs and snowpacks. Journal of Flood Risk Management, 17(3), e12992.
5. Hiraga, Y., Iseri, Y., Warner, M. D., Duren, A. M., England, J. F., & Levent Kavvas, M. (2024). Response of precipitation increases to changes in atmospheric moisture and its flux in the Columbia River Basin: WRF model–based precipitation maximization for PMP studies. Journal of Hydrologic Engineering, 29(3), 04024014.
6. Hiraga, Y., Iseri, Y., Warner, M. D., Frans, C. D., Duren, A. M., England, J. F., & Kavvas, M. L. (2023). Comparison of model-based precipitation maximization methods: moisture optimization method, storm transposition method, and their combination. Journal of Hydrologic Engineering, 28(1), 04022033.
7. Kavvas, M. L., & Ercan, A. (2022). Generalizations of incompressible and compressible Navier–Stokes equations to fractional time and multi-fractional space. Scientific Reports, 12(1), 19337.
8. Trinh, T., Diaz, A., Iseri, Y., Snider, E., Anderson, M. L., Carr, K. J., & Kavvas, M. L. (2022). A numerical coupled atmospheric–hydrologic modeling system for probable maximum flood estimation with application to California's southern Sierra Nevada foothills watersheds. Journal of Flood Risk Management, 15(3), e12809.
9. Trinh, T., Iseri, Y., Diaz, A. J., Snider, E. D., Anderson, M. L., & Levent Kavvas, M. (2022). Maximization of historical storm events over seven watersheds in Central/Southern Sierra Nevada by means of atmospheric boundary condition shifting and relative humidity optimization methods. Journal of Hydrologic Engineering, 27(3), 04021051.
10. Iseri, Y., Diaz, A. J., Trinh, T., Kavvas, M. L., Ishida, K., Anderson, M. L., ... & Snider, E. D. (2021). Dynamical downscaling of global reanalysis data for high-resolution spatial modeling of snow accumulation/melting at the central/southern Sierra Nevada watersheds. Journal of Hydrology, 598, 126445.
11. Hiraga, Y., Iseri, Y., Warner, M. D., Frans, C. D., Duren, A. M., England, J. F., & Kavvas, M. L. (2021). Estimation of long-duration maximum precipitation during a winter season for large basins dominated by atmospheric rivers using a numerical weather model. Journal of Hydrology, 598, 126224.
12. Gorguner, M., & Kavvas, M. L. (2020). Modeling impacts of future climate change on reservoir storages and irrigation water demands in a Mediterranean basin. Science of the Total Environment, 748, 141246.
13. Tang, Y., Leon, A. S., & Kavvas, M. L. (2020). Impact of size and location of wetlands on watershed-scale flood control. Water Resources Management, 34(5), 1693-1707.
14. Aksoy, H., Gedikli, A., Yilmaz, M., Eris, E., Unal, N. E., Yoon, J., ... & Tayfur, G. (2020). Soil erosion model tested on experimental data of a laboratory flume with a pre-existing rill. Journal of Hydrology, 581, 124391.
15. Tu, T., Ercan, A., & Kavvas, M. L. (2020). Probabilistic solution to two-dimensional stochastic solute transport model by the Fokker-Planck equation approach. Journal of Hydrology, 580, 124250.
16. Toride, K., Iseri, Y., Warner, M. D., Frans, C. D., Duren, A. M., England, J. F., & Kavvas, M. L. (2019). Model-based probable maximum precipitation estimation: How to estimate the worst-case scenario induced by atmospheric rivers?. Journal of Hydrometeorology, 20(12), 2383-2400.
17. Ishida, K., Ohara, N., Ercan, A., Jang, S., Trinh, T., Kavvas, M. L., ... & Anderson, M. L. (2019). Impacts of climate change on snow accumulation and melting processes over mountainous regions in Northern California during the 21st century. Science of the Total Environment, 685, 104-115.
18. Gorguner, M., Kavvas, M. L., & Ishida, K. (2019). Assessing the impacts of future climate change on the hydroclimatology of the Gediz Basin in Turkey by using dynamically downscaled CMIP5 projections. Science of the Total Environment, 648, 481-499.
19. Toride, K., Cawthorne, D. L., Ishida, K., Kavvas, M. L., & Anderson, M. L. (2018). Long-term trend analysis on total and extreme precipitation over Shasta Dam watershed. Science of the Total Environment, 626, 244-254.
20. Ishida, K., Ercan, A., Trinh, T., Kavvas, M. L., Ohara, N., Carr, K., & Anderson, M. L. (2018). Analysis of future climate change impacts on snow distribution over mountainous watersheds in Northern California by means of a physically-based snow distribution model. Science of the total environment, 645, 1065-1082.
21. Trinh, T., Ishida, K., Kavvas, M. L., Ercan, A., & Carr, K. (2017). Assessment of 21st century drought conditions at Shasta Dam based on dynamically projected water supply conditions by a regional climate model coupled with a physically-based hydrology model. Science of the Total Environment, 586, 197-205.