Website
http://dataportal.arc.gov.au/NCGP/API/grants/LP160100217
Funding Status
Closed
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Funded Activity Summary
Data-driven water quality treatment management decision support system. Data-driven water quality treatment management decision support system. This project aims to develop a robust decision support system to predict manganese and the character and concentration of dissolved organic matter in drinking water reservoirs, using intelligent algorithms and data collected through remote autonomous instrumentation. These predicted water quality parameters could be used as model input variables to provide real-time decisions for plant operators on the required treatment regime for incoming raw water, and advise them on the optimal reservoir offtake depth. This will potentially minimise treatment costs and health risks for consumers. The ultimate goal is to significantly enhance current water supply management practices.Funded Activity Details
Start Date: 12-2016
End Date: 12-2021
Funding Scheme: Linkage Projects
Funding Amount: $248,000.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Water Resources Engineering | Civil Engineering | Decision Support and Group Support Systems | Environmental Engineering Modelling
ANZSRC Socio-Economic Objective (SEO)
Urban and Industrial Water Management | Environmental Health | Water Services and Utilities |
