Prof. Donald Dabdub
- Research Area:
Professor, Department of Mechanical & Aerospace Engineering.
Ph. D. in Chemical Engineering from California Institute of Technology.
Professor Dabdub brings to the ORU his expertise in urban air quality modeling, including reactions in and on aerosol particles and surfaces in the urban boundary layer. In the area of atmospheric sciences, Prof. Dabdub’s research interests lie in mathematical modeling of urban and global air pollution dynamics, dynamics of atmospheric aerosols and secondary organic aerosols, chemical reactions at gas-liquid interfaces, and the impact of energy generation on air quality. His focus in the area of computational sciences is on applied mathematics, numerical algorithms on massively parallel computers, and grid-based computations. Dr. Dabdub’s modeling facility provides the computer simulations that test the potential atmospheric importance of AirUCI’s research findings. He investigates the importance to air pollution in the South Coast Air Basin of California of reactions of air and water molecules with particles that cling to buildings.
Dr. Dabdub is interested in the mathematical modeling of air pollution dynamics. His research is conducted in two areas: atmospheric sciences and computational sciences. Working in the area of atmospheric sciences, his work is aimed at the mathematical modeling of urban and global air pollution, understanding the dynamics of atmospheric aerosols, and global climate change.
Within the realm of computational sciences, Dr. Dabdub is interested in massively parallel computations, the numerical analysis of partial differential equations, and the development of problem solving environments. His current activities include a modeling study of Cl2 formation from aqueous NaCl particles; development of a semi-Lagrangian flux scheme for the solution of the aerosol condensation/evaporation equation; development of a two-level time-marching scheme using splines for solving the advection equation; and an investigation into the effect of alveolar volume and sequential filling on the diffusing capacity of the lungs. His work can be applied to foster a better understanding of air pollution and the dynamics of global climate change.