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Morteza Derakhti

Senior Research Scientist/Engineer

Assistant Professor, Civil and Environmental Engineering; Affiliate Assistant Professor, Mechanical Engineering

Email

mderakhti@apl.uw.edu

Phone

206-685-1220

Research Interests

Air-Sea Interaction
Ocean Surface Waves and Turbulence
Marine Renewable Energy
Nearshore Processes
Coastal Hazards
Near-Field Tsunami Dynamics

Education

B.Sc. Civil engineering, University of Tehran, 2006

M.S. Civil Marine Structures, University of Tehran, 2009

M.C.E. Civil Engineering, University of Delaware, 2013

Ph.D. Civil Engineering, University of Delaware, 2016

Publications

2000-present and while at APL-UW

Surfing transport of buoyant objects observed in the nearshore

Ranville, EJ, J. Thomson, M. Moulton, M. Derakhti, "Surfing transport of buoyant objects observed in the nearshore," J. Geophys. Res., 131, doi:10.1029/2025JC022422, 2026.

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21 Jan 2026

Free-drifting buoyant objects, including plastics, marine debris, and organisms, move with the wind, waves, and surface currents. These objects also surf on breaking waves; this process adds to the total transport of the objects and can control beaching. Observations of surfing transport are made using small free-drifting buoys called microSWIFTs. The drifters are deployed nearshore at the US Army Corps of Engineers Field Research Facility in Duck, NC, USA, as part of the During Nearshore Events Experiment in October 2021. Surfing events are observed in the drift trajectories of the buoys as "jumps" in the time series of cross-shore position. There are 3,172 surfing events observed, with a median jump amplitude of 8.3 m and a median duration of 2.5 s. These median values are 13% of a characteristic offshore wavelength and 32% of a characteristic offshore wave period, respectively. The median bulk jump speed (jump amplitude/jump duration) is 82% of the linear phase speed for waves in the corresponding jump depth. The buoys' trajectories are simulated using three models of increasing complexity: "Wind-Only," "Wind and Waves," and "“Wind, Waves, and Surfing." The surfing process is represented using a probabilistic parameterization. When surfing is included in the models, the terminal location of the modeled objects (on beach or offshore) is correctly predicted in 93% of cases compared to 76% and 84% for the "Wind-Only" and "Wind and Waves" models, respectively. Including surfing also significantly improves the accuracy of the time-to-beach and alongshore beaching location.

Dynamics and scaling of a small river discharging into the surf zone

Lou, Y., A.R. Horner-Devine, M. Derakhti, S.N. Giddings, M.S. Spydell, A.R. Rodriguez, and A.J. Simpson, "Dynamics and scaling of a small river discharging into the surf zone," J. Phys. Oceanogr., 55, 1255-1276, doi:10.1175/JPO-D-24-0072.1, 2025.

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1 Aug 2025

We use an idealized numerical model to investigate the dynamics and fate of a small river discharging into the surf zone. Our study reveals that the plume reaches a steady state, at which point the combined advective and diffusive freshwater fluxes from the surf zone to the inner shelf balance the river discharge. At a steady state, the surf zone is well mixed vertically due to wave-enhanced vertical turbulent diffusion and has a strong cross-shore salinity gradient. The horizontal gradient drives a cross-shore buoyancy-driven circulation, directed offshore at the surface and onshore near the bottom, which opposes the wave-driven circulation. Using a scaling analysis based on momentum and freshwater budgets, we determine that the steady-state alongshore plume extent (Lp ) and the fraction of river water trapped in the surf zone depend on the ratio of the near-field plume length to the surf-zone width (Lnf/Lsz) across a wide range of discharge and wave conditions and a limited set of tidal conditions. This scaling also allows us to predict the residence time and freshwater fraction (or dilution ratio) in the steady-state plume within the surf zone, which ranges from approximately 0.1 to 10 days and from 0.1 to 0.3, respectively. Our findings establish the basic dynamics and scales of an idealized plume in the surf zone, as well as estimates of residence times and dilution rates that may provide guidance to coastal managers.

Statistics of bubble plumes generated by breaking surface waves

Derakhti, M., J. Thomson, C. Bassett, M. Malila, and J.T. Kirby, "Statistics of bubble plumes generated by breaking surface waves," J. Geophys. Res., 129, doi:10.1029/2023JC019753, 2024.

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17 May 2024

We examine the dependence of the penetration depth and fractional surface area (e.g., whitecap coverage) of bubble plumes generated by breaking surface waves on various wind and wave parameters over a wide range of sea state conditions in the North Pacific Ocean, including storms with sustained winds up to 22 m s-1 and significant wave heights up to 10 m. Our observations include arrays of freely drifting SWIFT buoys together with shipboard systems, which enabled concurrent high-resolution measurements of wind, waves, bubble plumes, and turbulence. We estimate bubble plume penetration depth from echograms extending to depths of more than 30 m in a surface-following reference frame collected by downward-looking echosounders integrated onboard the buoys. Our observations indicate that mean and maximum bubble plume penetration depths exceed 10 and 30 m beneath the surface during high winds, respectively, with plume residence times of many wave periods. They also establish strong correlations between bubble plume depths and wind speeds, spectral wave steepness, and whitecap coverage. Interestingly, we observe a robust linear correlation between plume depths, when scaled by the total significant wave height, and the inverse of wave age. However, scaled plume depths exhibit non-monotonic variations with increasing wind speeds. Additionally, we explore the dependencies of the combined observations on various non-dimensional predictors used for whitecap coverage estimation. This study provides the first field evidence of a direct relation between bubble plume penetration depth and whitecap coverage, suggesting that the volume of bubble plumes could be estimated by remote sensing.

More Publications

Acoustics Air-Sea Interaction & Remote Sensing Center for Industrial & Medical Ultrasound Electronic & Photonic Systems Environmental & Information Systems Ocean Engineering Ocean Physics Polar Science Center
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