Model Sensitivity, Performance and Evaluation Techniques for The Air Pollution Model in Southeast Queensland
Leishman, Natalie (2005) Model Sensitivity, Performance and Evaluation Techniques for The Air Pollution Model in Southeast Queensland. Masters by Research thesis, Queensland University of Technology.
One important component for successful air quality modelling is the utilisation of a reliable meteorological simulator. Evaluating the model with respect to its overall performance in predicting natural processes is no easy task. The problem is twofold, firstly there is the availability and suitability of field data with which to compare a model with and secondly there is the method of evaluation. The Air Pollution Model (TAPM), developed by the CSIRO was used to simulate the winds in Southeast Queensland (SEQ). The complex nature of the airshed makes it difficult to compare modelled data with observational data as the observational data may be influenced by local phenomena. Evaluation of the model through the use of standard statistics and monthly and seasonal statistics illustrated that overall the model predicted the annual average wind speeds and temperatures well. Through the use of synoptic clustering, more detail on model performance was gained and it was found that TAPM predicted sea breezes that occurred on high pollution days. The sensitivity of the model to the selection of input parameters such as soil type, land use, vegetation, and rain processes was also investigated.
Impact and interest:
Citation counts are sourced monthly from and citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.
|Item Type:||QUT Thesis (Masters by Research)|
|Supervisor:||Bofinger, Neville & Wiegand, Aaron|
|Keywords:||Meteorology, TAPM, statistics, synoptic cluster type, modelling, performance, wind speed, wind direction, temperature|
|Divisions:||Past > Schools > Biogeoscience
Past > QUT Faculties & Divisions > Faculty of Science and Technology
|Department:||Faculty of Science|
|Institution:||Queensland University of Technology|
|Copyright Owner:||Copyright Natalie Leishman|
|Deposited On:||03 Dec 2008 03:57|
|Last Modified:||28 Oct 2011 19:43|
Repository Staff Only: item control page