Amir Hakami

Teaching Assignment 2011-2012

ENVE4003 Air Pollution and Emissions Control
ENVE5101 Air Pollution and Emissions Control
ENVE3004 Contaminant and Pollutant Transport in the Environment
ENVE5702 Photochemical Transport Modelling

Research Interests

Dr. Hakami’s research areas include air quality modeling in support of policy-making; formal sensitivity analysis in air quality modeling; inverse modeling and data assimilation; and uncertainty analysis.

Overview of Research Applications
I use mathematical models at various spatial scales to represent processes that are responsible for transport and transformation of pollutants in the atmosphere. One objective is to provide policy-makers with the best (optimal) strategy to reduce air pollution. Scientific contribution from my research to the decision-making process is, therefore, to quantify the response of the atmosphere to various man-made changes. This is achieved through various methods for sensitivity analysis that are applied in air quality models. Also, it turns out that sensitivity analysis methods are quite useful and potent tools in many other applications of interest such as air quality forecasting, uncertainty analysis, satellite-based inverse modeling, and quantitative analysis of trans-boundary and intercontinental transport of pollution. These areas of research are by nature interdisciplinary, and borrow from various engineering (civil, chemical, mechanical) and science (mathematics, earth science, physics, chemistry) disciplines.

Representative Publications

Hakami, A., J. H. Seinfeld, T. Chai, Y. Tang, G. R. Carmichael, A. Sandu (2006), Adjoint sensitivity analysis of ozone non-attainment over continental United States, Environ. Sci. Technol., 40, 3855.

Hakami, A., D. K. Henze, J. H. Seinfeld, T. Chai, Y. Tang, G. R. Carmichael, A. Sandu (2005), Adjoint inverse modeling of black carbon during ACE-Asia, J. Geophys. Res., 110, D14301.

Hakami, A., M. S. Bergin, A. G. Russell (2004), Ozone formation potential of organic compounds in the Eastern US: A comparison of episodes, inventories, and domains, Environ. Sci. Technol., 38, 6748.

Hakami, A., M. T. Odman, A. G. Russell (2004), Non-linearity in atmospheric response: A direct sensitivity analysis approach, J. Geophys. Res., 109, D15303.

Hakami, A., M. T. Odman, A. G. Russell (2003), High-order, direct sensitivity analysis of multi-dimensional air quality models, Environ. Sci. Technol., 37, 2442.

Post Doctoral Fellows

Shunliu Zhao

Graduate Students

Farid Amid

Ph.D. (In Prog.) Variational inverse modeling of regional NOx emissions based on satellite observations

Faezeh Fallah

M.Eng. (Coursework) (In Prog.)

Saba Hajaghassi

M.A.Sc. (In Prog.)

Nicole MacDonald

M.A.Sc. (In Prog.)

Seyyed Morteza Mesbah

Ph.D. (In Prog.) Application of adjoint sensitivity analysis for performance enhancement of power plant’s nitrogen oxides control policies

Amanda Pappin

M.A.Sc. (In Prog.)

Matthew Russell

Ph.D. (In Prog.)

Maryam Mirzajani

M.A.Sc. (2011) Long-range transport of ozone and its precursors across Canada-US border

Pravin John

M.Eng. (Coursework) (2011)

Matthew Russell

M.A.Sc. (2011) Development of a Multi-phase Tangent Linear Model for AURAMS

Beltus Eyengom Nyambi

M.Eng. (Coursework) (2010)

Kehasse Tesfaldet

M.Eng. (Coursework) (2010)