Research Interest: Fluid physics; Particle-turbulence interaction; Virus-laden droplets; Seed dispersal; Droplet dynamics; Bubble dynamics; jets and plumes; mixing and transport; river and lake dynamics; Air-water gas exchange
Research topics: River dynamics, particle tracking, sediment transport.
Research topics: Bubble plume, multiphase physics, turbulence.
Research topics: Water resources, watershed modeling.
We seek to understand the differences between natural seep bubble plumes and accidental oil spill blowout. More importantly, the goal of this study is to quantify the connection between them which will help us to better predict the evolution of plumes at different initial conditions. The GoMRI's project site can be found at this link.
The videos on the left show the differences between natural seep bubble streams (Green Canyon Lease Block 600, Gulf of Mexico) and accidental oil spill plumes during the DeepWater Horizon (DWH) blowout. These two multiphase phenomena have different physical scales (length, velocity, etc.), which describe different stages of multiphase flow regimes.
Transport and fate of human expiratory droplets play a key role in the transmission of respiratory infectious diseases. The dynamics of virus transmission is not well understood, with one challenge being the complicated fluid and flow characteristics involved in the fate and transport of virus, including source dynamics (e.g., exhale velocity and temperature, droplet sizes, virus load, and droplet–virus correlations), ambient conditions (e.g., mean and turbulent flows, temperature, and humidity), and virus dynamics (e.g., virus viability and infectious rate). Collaborating with experts in influenza virus transmission, we recently developed a fate and transport model to simulate droplet evolution during normal human respiratory activities (talking, coughing, etc.). We improve the model prediction by using a continuous random walk model to better characterize the correlated velocity fluctuations in these respiratory flows.
The simulation shows strong influences of ambient conditions, exhaled velocities and temperatures. At this moment, our simulation only accounts for the droplets. In the future, we will incorporate the correlation between droplets and viruses to better predict the transport of viruses.
Transport and fate of the natural seep bubbles are important to oceanic biogeochemistry. The goal of this study is to analyze the observed field data during our previously research cruises in the Gulf of Mexico, as well as the experimental data obtained by the DOE’s National Energy Technology Laboratory (NETL). A corrected hydrocarbon dissolution module was used to predict the dissolution of the methane bubbles rising from ~1,000 m ocean floor. This work is a collaborative effort with Dr. Socolofsky at Texas A&M University, who is focusing on the modeling of the NETL’s laboratory data.
We apply physics-driven machine-learning algorithms to identify the spatial pattern and temporal variation in the data of sea surface temperature and sea surface height. This grant provided us with the computation and storage platforms using Microsoft's cloud services to accelerate our work on data analysis of short-term variability and long-term trend of climate related issues in the Gulf of Mexico.
Bubble plume is a common fluid dynamics phenomenon. It exists in both natural and engineered waters. For instance, engineers use bubble plumes to increase dissolve oxygen and mixing level in reservoirs or lakes, known as aeration processes. The rising bubbles entrain water while they rise under the buoyancy force, carrying mass and momentum from ambient fluids. When these bubbles reach surface, the direction of fluxes changes from the vertical to horizontal direction, causing water movement on the surface, known as surface current.
The plume induced surface current can spread out the oil during a subsurface oil spill. When surface is covered by ice, the roughness of the ice surface would trap the surfacing oil and change the hydrodynamics of the flow, which also change the spreading of the oil. The goal of this study is to quantify the physical parameters that are related to the spreading process: how the surface velocity would decay away from the origin, and how surface condition would modulate the spreading process.
Wang, B.; Jun, I.; Socolofsky, S. A.; DiMarco, S. F. and Kessler, J. D. Dynamics of Gas Bubbles From a Submarine Hydrocarbon Seep Within the Hydrate Stability Zone, Geophysical Research Letters, 2020, 47 (18),e2020GL089256.
Razaz, M.; Di Iorio, D.; Wang, B.; MacDonald, I. Temporal variations of a natural hydrocarbon seep using a deep-sea camera system, Journal of Atmospheric and Oceanic Technology, 2020, 37 (9), 1737-1751.
Wang, B.; Wu, H. and Wan, X.-F. Transport and fate of human expiratory droplets—A modeling approach, Physics of Fluids, 2020, 32, 083307.
Razaz, M.; Di Iorio, D.; Wang, B.; Asl, S. D. and Thurnherr, A. M. Variability of a natural hydrocarbon seep and its connection to the ocean surface, Scientific Reports, 2020, 10 (1), 1-13.
Li, G.; Wang, B.; Wu, H. and DiMarco, S. F. Impact of bubble size on the integral characteristics of bubble plumes in quiescent and unstratified water. International Journal of Multiphase Flow, 2020, 103230.
Wang, B.; Socolofsky, S. A. Characteristics of mean flow and turbulence in bubble-in-chain induced flows, Physical Review Fluids, 2019, 4 (5), 054302.
Wang, B.; Lai, C.; Socolofsky, S. A. Mean velocity, spreading and entrainment characteristics of weak bubble plumes in unstratified and stationary water. Journal of Fluid Mechanics, 2019, 874, 102-130
Wang, B.; Socolofsky, S. A.; Lai, C.; Adams, E.; Boufadel, M. Behavior and dynamics of bubble breakup in gas pipeline leaks and accidental subsea oil well blowouts, Marine Pollution Bulletin, 2018, 131, 72-86.
Chang, X.; Wang, B.; Yan, Y.; Hao, Y.; Zhang, M. Characterizing effects of monsoons and climate teleconnections on precipitation in China using wavelet coherence and global coherence. Climate Dynamics, 2018, 1-16.
Leonte, M; Wang, B.; Socolofsky, S.A.; Mau, S.; Breier, J.A.; Kessler, J.D. Using Carbon Isotope Fractionation to Constrain the Extent of Methane Dissolution Into the Water Column Surrounding a Natural Hydrocarbon Gas Seep in the Northern Gulf of Mexico. Geochemistry, Geophysics, Geosystems. 2018, 19, 4459– 4475.
Tan, L.; Zuo, L. and Wang, B., Methods of Decline Curve Analysis for Shale Gas Reservoirs, Energies, 2018, 11(3), 552.
Liu, Y.; Tan, L. and Wang, B., A Review of Tip Clearance in Propeller, Pump and Turbine, Energies, 2018, 11(9),2202.
Liu, Y.; Wang, B.; Zhan, H.; Fan, Y.; Zha, Y. and Hao, Y., Simulation of Nonstationary Spring Discharge Using Time Series Models, Water Resources Management, 2017, 31(15), 4875-4890.
Zhong, Y.; Wang, B.; Zou, C.B.; Hu, B.X.; Liu, Y. and Hao. Y., On the teleconnection patterns to precipitation in the eastern Tianshan Mountains, China, Climate Dynamics, 2017, 49(9-10), 3123-3139.
Wade, T. L.; Morales-McDevitt, M.; Bera, G.; Shi, D.; Sweet, S.; Wang, B.; Gold-Bouchot, G.; Quigg, A. and Knap, A. H., A method for the production of large volumes of WAF and CEWAF for dosing mesocosms to understand marine oil snow formation, Heliyon, 2017, 3(10),e00419.
Wang, B. and Liao, Q. Field observations of turbulent dissipation rate profiles immediately below the air‐water interface, JGR: Oceans, 2016, 121, 4377-4391.
Wang, B.; Socolofsky, S. A.; Brerier J. A. and Seewald, J. S. Observations of bubbles in natural seep flares at MC 118 and GC 600 using in situ quantitative imaging, JGR: Oceans, 2016, 121, 2203-2230.
Wang, B. and Socolofsky, S. A., On the bubble rise velocity in a continually released bubble chain in still water and with crossflow. Physics of fluids, 27, 103301 (2015).
Wang, B. and Socolofsky, S. A., A deep-sea, high-speed, stereoscopic imaging system for in situ measurement of natural seep bubble and droplet characteristics. Deep-sea Research Part I. 2015, 104, 134-148.
Wang, B.; Fillingham, J. H.; Liao, Q. and Bootsma, H. A. On the coefficients of small eddy and surface divergence models for the air-water gas transfer velocity, JGR: Oceans, 2015, 120, 2129-2146.
Liao, Q.; Wang, B. and Wang, P. In situ measurement of sediment resuspension caused by propeller wash with an underwater Particle Image Velocimetry and an Acoustic Doppler Velocimeter. Flow Measurement and Instrumentation. 2015, 41, 1-9.
Our lab presented the society impacts of our oil droplet studies in the 2019 Mizzou Engineer’s week. We also demonstrated our in-house development about how to use engineering applications to understand sciences.