报告题目： Using Lattice Boltzmann Method for Ocean Oil Spill Model and Simulation
报告时间： 2021年6月17日 8:00
会 议 码：340 135 179
Dr. Zhanyang Zhang acquired his Ph.D degree in computer science from the City University of New York. He received a MS degree in computer science from the College of Staten Island and a BE degree in computer engineering from Jilin University, Changchun, China. He is a faculty member of Computer Science Department at both College of Staten Island and the Graduate Center, the City University of New York (CUNY). His current research interests include wireless networks, numerical modeling and simulations, IoT/sensor networks in smart city applications, high performance and cloud computing. Before joining CUNY, he was a member of technical staff (MTS) at Bell Labs, Lucent Technology where he worked on several research and development projects in advance wireless networks. He also works as a communication network consultant with different companies in New York/New Jersey areas.
The focus of our study is to investigate the feasibility and effectiveness of using Lattice Boltzmann Advection Diffusion Equation (LBM-ADE) to model and simulate ocean oil spill transport at the surface level. We present some preliminary results from a prototype model and simulation in limited scale (a sub area of Gulf of Mexico) with assimilation of real ocean current data from the Unified Wave Interface-Coupled Model (UWIN-CM). We validate our model in a benchmark study against GNOME, a tool developed and used by NOAA for ocean oil spill forecast, under two scenarios: (i) a Gaussian hill concentration using a linear ocean current with the analytical solution as a reference; (ii) a Gaussian hill concentration using real ocean current from (UWIN-CM). Our benchmark results in both cases show the LBM-ADE model solutions are very close to the targeted analytical and GNOME solutions with the same initial oil spill and location.