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Dive into the research topics where Diane U. Keogh is active.

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Featured researches published by Diane U. Keogh.


Animal Production Science | 2004

Formative evaluation to benchmark and improve climate-based decision support for graziers in Western Queensland

Diane U. Keogh; K. L. Bell; J. N. Park; David H. Cobon

Researchers developing climate-based forecasts, workshops, software tools and information to aid grazier decisions undertook an evaluation study to enhance planning and benchmark impact. One hundred graziers in Western Queensland were randomly selected from 7 shires and surveyed by mail and telephone (43 respondents) to explore levels of knowledge and use of climate information, practices and information needs. We found 36% of respondents apply the Southern Oscillation Index to property decisions but 92% were unaware El Nino Southern Oscillation’s predictive signal in the region is greater for pasture growth than rainfall, suggesting they may not recognise the potential of pasture growth forecasts. Almost 75% of graziers consider they are conservative or risk averse in their attitude to managing their enterprise. Mail respondents (n= 20) if given a 68%, on average, probability of exceeding median rainfall forecast may change a decision; almost two-thirds vary stocking rate based on forage available, last year’s pasture growth or the Southern Oscillation Index; the balance maintain a constant stocking rate strategy; 90% have access to a computer; 75% to the internet and 95% have a fax. This paper presents findings of the study and draws comparisons with a similar study of 174 irrigators in the Northern Murray-Darling Basin (Aust. J. Exp. Ag. 44, 247-257). New insights and information gained are helping the team better understand client needs and plan, design and extend tools and information tailored to grazier knowledge, practice, information needs and preferences. Results have also provided a benchmark against which to measure project impact and have influenced the team to make important changes to their project planning, activities and methods for transferring technology tailored to grazier preferences.


Atmospheric Environment | 2008

Ambient nano and ultrafine particles from motor vehicle emissions: Characteristics, ambient processing and implications on human exposure

Lidia Morawska; Zoran Ristovski; E.R. Jayaratne; Diane U. Keogh; Xuan Ling


Faculty of Science and Technology; Institute of Health and Biomedical Innovation | 2008

Modality in ambient particle size distributions and its potential as a basis for developing air quality regulation

Lidia Morawska; Diane U. Keogh; Stephen Thomas; Kerrie Mengersen


Environmental Modelling and Software | 2009

Development of a particle number and particle mass vehicle emissions inventory for an urban fleet

Diane U. Keogh; Luis Ferreira; Lidia Morawska


Australian Journal of Experimental Agriculture | 2007

Needs for applied climate education in agriculture

David George; Cj Birch; J. F. Clewett; Anthony Wright; Wendy Allen; Diane U. Keogh


Animal Production Science | 2005

Climate information needs of Gascoyne–Murchison pastoralists: a representative study of the Western Australian grazing industry

Diane U. Keogh; I. W. Watson; K. L. Bell; David H. Cobon; S. C. Dutta


Rangeland Journal | 2008

Summative evaluation of climate application activities with pastoralists in western Queensland

David H. Cobon; K. L. Bell; J. N. Park; Diane U. Keogh


Archive | 2009

Development of a particle number and particle mass emissions inventory for an urban fleet : a study in South-East Queensland

Diane U. Keogh


Faculty of Science and Technology; Institute of Health and Biomedical Innovation | 2008

Ambient nano and ultrafine particles from motor vehicle emissions: characteristics, ambient processing and implications on human exposure

Lidia Morawska; Zoran Ristovski; Rohan Jayaratne; Diane U. Keogh; Xuan Ling


Faculty of Built Environment and Engineering; Faculty of Science and Technology; Institute of Health and Biomedical Innovation | 2010

Derivation of motor vehicle tailpipe particle emission factors suitable for modelling urban fleet emissions and air quality assessments

Diane U. Keogh; Joe Kelly; Kerrie Mengersen; Rohan Jayaratne; Luis Ferreira; Lidia Morawska

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Lidia Morawska

Queensland University of Technology

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Kerrie Mengersen

Queensland University of Technology

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Luis Ferreira

University of Queensland

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Rohan Jayaratne

Queensland University of Technology

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David H. Cobon

United States Environmental Protection Agency

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Cj Birch

University of Tasmania

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Xuan Ling

Queensland University of Technology

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Zoran Ristovski

Queensland University of Technology

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