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dc.contributor.authorGuo, D
dc.contributor.authorLintern, A
dc.contributor.authorProdanovic, V
dc.contributor.authorKuller, M
dc.contributor.authorBach, PM
dc.contributor.authorDeletic, A
dc.contributor.authorShi, B
dc.contributor.authorMcCarthy, D
dc.contributor.authorRyu, D
dc.contributor.authorWebb, JA
dc.contributor.authorLiu, S
dc.contributor.authorWestern, AW
dc.date.available2020-01-10T01:01:40Z
dc.date.issued2019-12-01
dc.identifier.citationGuo, D., Lintern, A., Prodanovic, V., Kuller, M., Bach, P. M., Deletic, A., Shi, B., McCarthy, D., Ryu, D., Webb, J. A., Liu, S. & Western, A. W. (2019). Future Water: Comparing and contrasting approaches to predicting water quality. Proceedings of 23rd International Congress on Modelling and Simulation, pp.1112-1118. Modelling and Simulation Society of Australia and New Zealand. https://doi.org/10.36334/modsim.2019.k15.guo.
dc.identifier.isbn9780975840092
dc.identifier.urihttp://hdl.handle.net/11343/233758
dc.description.abstractGlobally, surface water quality deterioration is an important issue exacerbated by increasing urbanisation, intensified agricultural activities and climate change. To mitigate this increase in waterway pollution there is a strong need for effective catchment management strategies. However, this is currently limited by: (1) our lack of understanding of the key processes and mechanisms driving water quality change in waterways, and (2) our inability to predict future water quality change. To address these, we need to improve our ability to understand and model water quality. This improved capacity will enable us to better identify important water quality changes under various land use, land management and climate scenarios. These improvements could thus assist waterway managers to better prioritise regions which require special management attention, as well as better assess the benefits of different management interventions and preventative actions to reduce pollution levels.
dc.publisherModelling and Simulation Society of Australia and New Zealand
dc.source23rd International Congress on Modelling and Simulation (MODSIM2019)
dc.titleFuture Water: Comparing and contrasting approaches to predicting water quality
dc.typeConference Paper
dc.identifier.doi10.36334/modsim.2019.k15.guo
melbourne.affiliation.departmentEngineering
melbourne.source.titleProceedings of 23rd International Congress on Modelling and Simulation
melbourne.source.pages1112-1118
melbourne.identifier.arcLP140100495
melbourne.elementsid1429114
melbourne.openaccess.urlhttps://doi.org/10.36334/modsim.2019.K15.guo
melbourne.openaccess.statusPublished version
melbourne.contributor.authorWestern, Andrew
melbourne.contributor.authorRyu, Dongryeol
melbourne.contributor.authorGuo, Danlu
melbourne.contributor.authorWebb, James
melbourne.contributor.authorLiu, Shuci
melbourne.contributor.authorLintern, Anna
melbourne.identifier.fundernameidAustralian Research Council, LP140100495
melbourne.identifier.fundernameidDEPARTMENT OF ENVIRONMENT LAND WATER & PLANNING, LP140100495
melbourne.event.locationCanberra
melbourne.accessrightsOpen Access


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