Development of catchment water quality models within a realtime status and forecast system for the Great Barrier Reef

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Khan, U
Cook, FJ
Laugesen, R
Hasan, MM
Plastow, K
Amirthanathan, GE
Bari, MA
Tuteja, NK
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2020
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Realtime 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.

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Environmental Modelling and Software

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132

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Environmental management

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Khan, 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

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