upcoming events

Advanced Openair

Taking a more in-depth look at how to programmatically access online data sources for air pollution for air quality. This course will work through examples of accessing data sources in Australia and New Zealand and demonstrate to attendees the extensions possible through accessing global meteorological data. The course will also focus on the development and use of models to ‘deweather’ air pollution time series – or ‘meteorological normalisation’. Attendees will be introduced to the principle of meteorological normalisation and how it is implemented in R including model building, testing interrogation and prediction. This course has been developed and is presented by Professor David Carslaw and air quality researcher Dr Stuart Grange exclusively for CASANZ and follows on from the Introduction to Openair/R Course.

The Odour Briefcase

19, 20, 26, 27 July 2023

The Odour Briefcase course is designed to describe the range of tools odour practitioners have at their disposal to undertake their studies, each with its advantages, disadvantages and appropriateness for each application. Themes that will be addressed in this course include odour theory, measurement, sampling, modelling and odour management.

8, 9, 15, 16 August 2023

Understanding and Managing Air Quality

This key foundation course introduces the key aspects of air quality management, including the science behind the behaviour and effects of air pollution. The course covers air quality principles and describes how pollutants are assessed through modelling, monitoring and emission inventories. This course is suited to those new to or wishing to expand their knowledge in the air quality field.

3, 4, 5, 6 October 2023

CALPUFF

This course is intended for air quality professionals who require knowledge of puff air dispersion modelling approaches and techniques. Build upon essential ADM concepts demonstrating that potential for accurate results at small and large scales or in regions of immense complexity. At the end of the course, attendees will be able to use the appropriate model necessary for a variety of regulatory applications, efficiently using the model. Case studies will be used throughout the course giving “real world” applicability to atmospheric dispersion theory.

3 x 2 hours online

DATE COURSE WHERE 28, 29 June & 6 July 2023

4 x 5 hours online

4 x 2 hours online

4 x 4 hours online

DATE COURSE WHERE 10, 11, 12, 17, 18, 19 October 2023

1, 2, 8, 9 November 2023

Introduction to Stack Testing

This course that offers a thorough introduction to the science of stack testing covering essential principles and exploring the US EPA methods in detail to understand the functioning and rationale of each method. The course topic include, Overview of stack emissions testing, Key principles, application of safe systems of work, periodic and continuous monitoring, selection of sampling locations and points, selection and application of methods and reporting.

Introduction to Meteorology for Air Quality

An understanding of meteorology is essential for air quality practitioners. This course outlines key meteorological concepts and will assist you in making informed decisions for siting air quality monitoring stations, choosing representative data for air quality modelling, preparation of model input files and undertaking meteorological modelling. Standard registration close on 25 October 2023.

28, 29 November 2023

5, 6, 7, 13, 14 March 2024

Transport Symposium – How do we achieve a rapid transformation to sustainable transport?

Introduction to WRF

The Weather Research and Forecasting (WRF) is an atmospheric modelling system designed for both meteorological research and numerical weather prediction. It offers a host of options for atmospheric and land processes and can be configured to run for a broad range of applications across scales ranging from tens of meters to thousands of kilometres. This tutorial offers basic training on understanding and operating components of the WRF modelling system. It consists of short lectures on the basic functions of the model, question and answer sessions and handson practices.

6 x 2 hours online

4 x 2 hours online

Times to be confirmed

5 x 2 hours online