Air pollution meteorology and modelling
Coordinator: Dr Steve Siems (Department of Mathematics)
4 points * First semester * Clayton * Prerequisites: ATM2132/MAA2032, MAT2030, MAT2040
Objectives On the completion of this subject students will be able to understand the basic issues of air pollution and the concept and roles of using mathematical modelling in air quality management. Students will be able to apply meteorological principles and mathematical techniques to study an in-depth practical application, apply regulatory and other air quality models to actual case studies; and understand many current issues and debates with respect to air quality modelling, research and development.
Synopsis Introduction to air pollution and current issues; principles of air quality management and the role of mathematical modelling; introduction to air pollution meteorology and the processes governing transport and dispersions of pollutants; fundamentals of applied dispersion modelling, derivation of the advection-diffusion equation, closure assumptions, solutions and limitations; alternative models and modelling approaches and their applicability; air pollution meteorology and modelling for special situations.
Assessment Examination (1.5 hours): 70% * Assignments: 30%
Recommended texts
Hanna S R, Briggs G A and Hosker R P Jr Handbook of atmospheric diffusion Office of Health and Environmental Research, Office of Energy Research, US Department of Energy, DOE/TIC-11223 (DE82002045), 1982
Lyons T J and Scott W D Principles of air pollution meteorology Bellhaven, 1990
Venkatram A and Wyngaard J C (eds) Lectures in air pollution modelling American Meteorological Society, 1988
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