Probabilistic Assessment of Recycled Water Schemes in Australia Using MATLAB Toolbox

Chen, Z; Ngo, H; Guo, W; Wang, XC; Luo, L

Probabilistic Assessment of Recycled Water Schemes in Australia Using MATLAB Toolbox

Chen, Z Ngo, H

Guo, W

Wang, XC Luo, L

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Publisher:: University of Technology Sydney
Publication Type:: Journal Article
Citation:: Journal of Water Sustainability, 2011, 1 (3), pp. 333 - 344
Issue Date:: 2011-01

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Field	Value	Language
dc.contributor.author	Chen, Z	en_US
dc.contributor.author	Ngo, H https://orcid.org/0000-0002-0296-2866	en_US
dc.contributor.author	Guo, W https://orcid.org/0000-0001-5542-2858	en_US
dc.contributor.author	Wang, XC	en_US
dc.contributor.author	Luo, L	en_US
dc.date.issued	2011-01	en_US
dc.identifier.citation	Journal of Water Sustainability, 2011, 1 (3), pp. 333 - 344	en_US
dc.identifier.issn	1839-1516	en_US
dc.identifier.uri	http://hdl.handle.net/10453/29302
dc.description.abstract	Hundreds of recycled water schemes have been successfully established in Australia. However, water quality and risks on human health and the environment associated with particular end uses (e.g. irrigation, industrial uses, non-potable urban uses, groundwater recharges, indirect and direct potable reuses) are still of great concern which can limit the application and extension of recycled water. This study analyses representative recycled water schemes in Australia with regard to the sources and corresponding risks of recycled water, risk assessment approaches as well as practical risk control methods towards various end uses. To quantify the risks, this study proposes a probabilistic assessment approach for existing and future water recycling schemes. With the assistance of MATLAB toolbox, the model was able to fit observed data to probability distribution functions (PDFs) and express the percent removal in PDF rather than point values. This approach could be helpful in quantifying risk or percent removal of potential hazards which involve a degree of variability and randomness. The analytical results, when couple with other environmental assessment tools are convinced to be useful for integrated water planning and management in Australia.	en_US
dc.publisher	University of Technology Sydney	en_US
dc.relation.ispartof	Journal of Water Sustainability	en_US
dc.title	Probabilistic Assessment of Recycled Water Schemes in Australia Using MATLAB Toolbox	en_US
dc.type	Journal Article
utslib.citation.volume	3	en_US
utslib.citation.volume	1	en_US
utslib.for	0905 Civil Engineering	en_US
dc.location.activity	Xiangtan, China
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Strength - CTWW - Centre for Technology in Water and Wastewater Treatment
utslib.copyright.status	closed_access
pubs.consider-herdc	false	en_US
pubs.issue	3	en_US
pubs.volume	1	en_US

Abstract:

Hundreds of recycled water schemes have been successfully established in Australia. However, water quality and risks on human health and the environment associated with particular end uses (e.g. irrigation, industrial uses, non-potable urban uses, groundwater recharges, indirect and direct potable reuses) are still of great concern which can limit the application and extension of recycled water. This study analyses representative recycled water schemes in Australia with regard to the sources and corresponding risks of recycled water, risk assessment approaches as well as practical risk control methods towards various end uses. To quantify the risks, this study proposes a probabilistic assessment approach for existing and future water recycling schemes. With the assistance of MATLAB toolbox, the model was able to fit observed data to probability distribution functions (PDFs) and express the percent removal in PDF rather than point values. This approach could be helpful in quantifying risk or percent removal of potential hazards which involve a degree of variability and randomness. The analytical results, when couple with other environmental assessment tools are convinced to be useful for integrated water planning and management in Australia.

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http://hdl.handle.net/10453/29302