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Development of theory and tools for improving quantitative nuisance odour impact assessment frameworks

Griffiths, Kevn David (2022) Development of theory and tools for improving quantitative nuisance odour impact assessment frameworks. PhD thesis, Murdoch University.

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Abstract

Many industrial and agricultural activities produce odour emissions that can negatively impact the amenity of near neighbour, and ensuring that unacceptable levels of impact do not occur at such receptors is a key responsibility of regulators of these activities. Odour impact assessments of proposed new odour generating facilities are typically undertaken with the aid of quantitative risk assessment frameworks at the planning and approval stages of development. The need for these frameworks to be well conceived and implemented continues to be strong, with population growth and associated urban expansion increasing the potential for land-use conict in many jurisdictions. However, while notable progress has been made in recent decades in the areas of odour science, standards and tools, the assessment of odour impacts remains characterised by large uncertainties and unresolved questions regarding assessment best practice. These problems have hindered harmonisation of odour assessment policy between jurisdictions and resulted in much diversity in approaches and criteria in assessment guidelines around the globe.

The aim of this thesis is to improve the theory and tools available to regulators for developing quantitative frameworks for predictive odour impact assessment. Research topics include addressing an outstanding issue present in odour modelling impact criteria, theory for designing screening-level livestock facility setback equations (LFSEs) and a concept for fast, easy-to-use and accurate software for screening-level steady-state plume modelling of near-ground level fugitive emissions sources. Software that demonstrates the viability of this concept is included.

This research thus addresses issues at the setback equation (for intensive livestock production facilities), screening modelling (for near-ground level fugitive emissions sources) and detailed site-specific modelling (all odour modelling) levels of assessment. The solutions proposed are designed to promote the best practice policy principles of simplicity of procedure and consistency, transparency and skill in assessment outcome of predictive odour impact assessment frameworks.

The research is supported by a review of odour regulations and impact criteria of selected countries around the world.

Item Type: Thesis (PhD)
Murdoch Affiliation(s): Environmental and Conservation Sciences
Supervisor(s): Lyons, Tom and Kala, Jatin
URI: http://researchrepository.murdoch.edu.au/id/eprint/64403
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