Process studies of odour emissions from effluent ponds using machine-based odour measurement

Article

Sohn, Jae Ho, Smith, R. J. and Yoong, Ernest. 2006. "Process studies of odour emissions from effluent ponds using machine-based odour measurement." Atmospheric Environment. 40 (7), pp. 1230-1241. https://doi.org/10.1016/j.atmosenv.2005.10.035
Article Title

Process studies of odour emissions from effluent ponds using machine-based odour measurement

ERA Journal ID1955
Article CategoryArticle
AuthorsSohn, Jae Ho (Author), Smith, R. J. (Author) and Yoong, Ernest (Author)
Journal TitleAtmospheric Environment
Journal Citation40 (7), pp. 1230-1241
Number of Pages12
Year2006
Place of PublicationUnited Kingdom
ISSN1352-2310
1873-2844
Digital Object Identifier (DOI)https://doi.org/10.1016/j.atmosenv.2005.10.035
Abstract

Replicable experimental studies using a novel experimental facility and a machine-based odour quantification technique were conducted to demonstrate the relationship between odour emission rates and pond loading rates. The odour quantification technique consisted of an electronic nose, AromaScan A32S, and an artificial neural network. Odour concentrations determined by olfactometry were used along with the AromaScan responses to train the artificial neural network. The trained network was able to predict the odour emission rates for the test data with a correlation coefficient of 0.98. Time averaged odour emission rates predicted by the machine-based odour quantification technique, were strongly correlated with volatile solids loading rate, demonstrating the increased magnitude of emissions from a heavily loaded effluent pond. However, it was not possible to obtain the same relationship between volatile solids loading rates and odour emission rates from the individual data. It is concluded that taking a limited number of odour samples over a short period is unlikely to provide a representative rate of odour emissions from an effluent pond. A continuous odour monitoring instrument will be required for that more demanding task.

Keywordsodour, electronic nose, effluent pond, olfactometry, swine, manure, neural network
ANZSRC Field of Research 2020401102. Environmentally sustainable engineering
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Byline AffiliationsDepartment of Primary Industries and Fisheries, Queensland
Department of Agricultural, Civil and Environmental Engineering
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Empirical functions for dependent variables in cutback furrow irrigation
Navabian, M., Liaghat, A. M., Smith, R. J. and Abbasi, F.. 2009. "Empirical functions for dependent variables in cutback furrow irrigation." Irrigation Science. 27 (3), pp. 215-222. https://doi.org/10.1007/s00271-008-0138-8
Measurement and management of furrow irrigation at the field scale
Gillies, Malcolm H., Smith, R. J. and Raine, Steven R.. 2008. "Measurement and management of furrow irrigation at the field scale." Irrigation Australia 2008: Irrigation Association of Australia National Conference and Exhibition: Share the Water, Share the Benefits. Melbourne, Australia 20 - 22 May 2008
Toward a simple real-time control system for efficient management of furrow irrigation
Khatri, Kanya L. and Smith, R. J.. 2007. "Toward a simple real-time control system for efficient management of furrow irrigation." Irrigation and Drainage. 56 (4), pp. 463-475. https://doi.org/10.1002/ird.319
Managing spatial and temporal variability in irrigated agriculture through adaptive control
Smith, R. J., Raine, Steven R., McCarthy, Alison and Hancock, Nigel. 2007. "Managing spatial and temporal variability in irrigated agriculture through adaptive control." Banhazi, T. M. and Saunders, C. (ed.) SEAg 2007: Agriculture and Engineering - Challenge Today, Technology Tomorrow. Adelaide, Australia 24 - 26 Sep 2007 Australia.
Errors in predicting furrow irrigation performance using single measures of infiltration
Langat, Philip K., Raine, Steven R. and Smith, R. J.. 2007. "Errors in predicting furrow irrigation performance using single measures of infiltration." Irrigation Science. 25 (4), pp. 339-349. https://doi.org/10.1007/s00271-006-0049-5
A decision support model for travelling gun irrigation machines
Smith, Rod, Gillies, Malcolm H., Newell, Geoffrey and Foley, Joseph P.. 2007. "A decision support model for travelling gun irrigation machines." CIGR 2006: Agricultural Engineering for a Better World. Bonn, Germany 03 - 07 Sep 2006
Recommended methods for the preconditioning of odourous air prior to treatment in organic biofilters
Craig, Ian, Sohn, Jae Ho and Kim, Tae I.. 2004. Recommended methods for the preconditioning of odourous air prior to treatment in organic biofilters . Toowoomba, Australia. University of Southern Queensland.
Real time control of surface irrigation: managing infiltration variations and enhancing furrow irrigation performance
Khatri, K. L., Smith, R. J. and Raine, Steven R.. 2006. "Real time control of surface irrigation: managing infiltration variations and enhancing furrow irrigation performance." Irrigation Australia 2006: Irrigation Association of Australia National Conference and Exhibition. Brisbane, Australia 09 - 11 May 2006 Brisbane.
Is it possible to extract infiltration rates for variable inflow furrow irrigation?
Gillies, Malcolm H., Smith, R. J. and Raine, Steven R.. 2006. "Is it possible to extract infiltration rates for variable inflow furrow irrigation?" Irrigation Australia 2006: Irrigation Association of Australia National Conference and Exhibition. Brisbane, Australia 09 - 11 May 2006 Hornsby, NSW, Australia.
Evaluation of methods for determining infiltration parameters from irrigation advance data
Khatri, K. L. and Smith, R. J.. 2005. "Evaluation of methods for determining infiltration parameters from irrigation advance data." Irrigation and Drainage. 54 (4), pp. 467-482. https://doi.org/10.1002/ird.198