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A modelling approach for estimating suspended sediment concentrations for multiple rivers influenced by agriculture.

Sirabahenda, Zacharie; St-Hilaire, André; Courtenay, Simon Charles; Alberto, Ashley; Van Den Heuvel, Michael R. (2017). A modelling approach for estimating suspended sediment concentrations for multiple rivers influenced by agriculture. Hydrological Sciences Journal , vol. 62 , nº 13. p. 2209-2221. DOI: 10.1080/02626667.2017.1367396.

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Résumé

A data-driven model based on an adaptive neuro-fuzzy inference system (ANFIS) was tested for the estimation of suspended sediment concentrations within watersheds influenced by agriculture. ANFIS models were developed using different combinations of inputs such as precipitation, streamflow, surface runoff and the watershed vulnerability index. A multi-watershed ANFIS model was also developed combining the datasets from all studied watersheds. The best results were obtained from a combination of precipitation, streamflow and watershed vulnerability index as input variables. Nash-Sutcliffe coefficients were improved for the multi-watershed ANFIS compared to watershed-specific ANFIS models. The introduction of the erosion vulnerability index significantly improved the ability of the ANFIS model to estimate suspended sediment concentrations within the watersheds. Furthermore, the inclusion of this index opens the possibility of using the ANFIS model to investigate the impact of land-use changes on sediment delivery.

Type de document: Article
Mots-clés libres: agriculture; soil erodibility; turbidity; suspended sediment; adaptive neuro-fuzzy inference system (ANFIS)
Centre: Centre Eau Terre Environnement
Date de dépôt: 08 mai 2018 14:38
Dernière modification: 08 mai 2018 14:38
URI: http://espace.inrs.ca/id/eprint/6559

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