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Original Articles

Estimation of suspended sediment concentration in the Saint John River using rating curves and a machine learning approach

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Pages 1847-1860 | Received 29 Aug 2014, Accepted 07 Apr 2015, Published online: 04 May 2016

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Zacharie Sirabahenda, André St-Hilaire, Simon C. Courtenay, Ashley Alberto & Michael R. Van Den Heuvel. (2017) A modelling approach for estimating suspended sediment concentrations for multiple rivers influenced by agriculture. Hydrological Sciences Journal 62:13, pages 2209-2221.
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Son Q. Nguyen, Linh C. Nguyen, Thanh Ngo-Duc & Sylvain Ouillon. (2024) Applying a machine learning-based method for the prediction of suspended sediment concentration in the Red river basin. Modeling Earth Systems and Environment 10:2, pages 2675-2692.
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Naomi Njue, Jan Gräf, Björn Weeser, Mariana C. Rufino, Lutz Breuer & Suzanne R. Jacobs. (2021) Monitoring of Suspended Sediments in a Tropical Forested Landscape With Citizen Science. Frontiers in Water 3.
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Camille Minaudo, Rémi Dupas, Chantal Gascuel‐Odoux, Ophélie Fovet, Per‐Erik Mellander, Philip Jordan, Mairead Shore & Florentina Moatar. (2017) Nonlinear empirical modeling to estimate phosphorus exports using continuous records of turbidity and discharge. Water Resources Research 53:9, pages 7590-7606.
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