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Hydrological Sciences Journal Volume 66, 2021 - Issue 7
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Research Article

A regional ANN-based model to estimate suspended sediment concentrations in ungauged heterogeneous basins

Juliana Andrade CamposInstitute of Hydraulic Research, Federal University of Rio Grande do Sul, Porto Alegre, BrazilCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-9015-9968
ORCID Icon &
Olavo Correa PedrolloInstitute of Hydraulic Research, Federal University of Rio Grande do Sul, Porto Alegre, BrazilORCID Iconhttps://orcid.org/0000-0001-7264-0259
ORCID Icon
Pages 1222-1232 | Received 01 Oct 2020, Accepted 09 Mar 2021, Published online: 07 Jun 2021

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Rohan Kar & Arindam Sarkar. (2023) Potential predictability of suspended sediment concentration in the data constrained regions of the Mahanadi River basin, Eastern India. International Journal of River Basin Management 21:3, pages 467-487.
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Articles from other publishers (4)

Juliana Andrade Campos & Olavo Correa Pedrollo. (2023) Modelling and assessing how small hydropower facilities affect sediment transport by using fuzzy inference systems. Journal of Hydrology 620, pages 129374.
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Shayan Naini, Hojat Karami & Khosrow Hosseini. (2022) Comparative study of soft computing models for prediction of scour below two symmetric crossing jets. Arabian Journal of Geosciences 15:21.
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Salim Heddam, Sungwon Kim, Ahmed Elbeltagi & Ozgur Kisi. 2022. Water Resource Modeling and Computational Technologies. Water Resource Modeling and Computational Technologies 245 264 .
Muhammad Adnan Khan, Jürgen Stamm & Sajjad Haider. (2021) Assessment of Soft Computing Techniques for the Prediction of Suspended Sediment Loads in Rivers. Applied Sciences 11:18, pages 8290.
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