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dc.contributor.authorKhan, U
dc.contributor.authorCook, FJ
dc.contributor.authorLaugesen, R
dc.contributor.authorHasan, MM
dc.contributor.authorPlastow, K
dc.contributor.authorAmirthanathan, GE
dc.contributor.authorBari, MA
dc.contributor.authorTuteja, NK
dc.description.abstractRealtime information on sediment and nutrients generated and transported from catchments is essential to inform management decisions aimed to improve the ecosystem health of the Great Barrier Reef (GBR). A water quality modelling methodology is developed to provide accurate and reliable estimates of sediments, dissolved and particulate nutrients, i.e., Nitrogen and Phosphorus for historical simulations, realtime status and forecasts. A water quality model is built for seven key water quality constituents at ten locations in eight GBR catchments using a non-linear multivariate regression technique. Covariates used in the multivariate regression models were derived from either streamflow, baseflow, or time-based cyclical processes. The performance of models varied by site location and constituent and out of 67 models developed here, 27 models have NSE values > 0.5 and 57 models have NSE values > 0.3. These 67 hourly models have been used to generate historical simulations and forecasts of concentration and load.
dc.relation.ispartofjournalEnvironmental Modelling and Software
dc.subject.fieldofresearchEnvironmental management
dc.titleDevelopment of catchment water quality models within a realtime status and forecast system for the Great Barrier Reef
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationKhan, U; Cook, FJ; Laugesen, R; Hasan, MM; Plastow, K; Amirthanathan, GE; Bari, MA; Tuteja, NK, Development of catchment water quality models within a realtime status and forecast system for the Great Barrier Reef, Environmental Modelling and Software, 2020, 132, pp. 104790
gro.hasfulltextNo Full Text
gro.griffith.authorCook, Freeman J.

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