Modelling surface water dynamics in an Amazonian sub-basin: impacts of hydraulic geometry refinement

ABSTRACT

This study describes the impacts of refinement of hydraulic geometry (HG) relationships in the hydrological MGB model applied to an Amazonian sub-basin (Purus River basin). To this end, HG relationships were developed for the entire basin and for hydrologically homogeneous regions, and their performances were compared with observed data and a global width and depth database. Two simulations were then performed using the MGB model: one using the refined HG relationships and the other using the global width and depth database. The simulated streamflow and water level estimates were compared with observed data. The results showed that HG relationships for the hydrologically homogeneous regions provided better estimates of hydraulic parameters for the basin, with Nash-Sutcliffe efficiency of 0.96 for width and 0.95 for depth, and its use provided an improvement in the performance of the hydrological modelling in some gauge stations, with an increase in the Nash-Sutcliffe efficiency between 18% and 65%.

KEYWORDS:

• fluvial geomorphology
• Purus River basin
• MGB model
• GRWD

Editor A. Castellarin Associate Editor M. Sadegh

Editor A. Castellarin Associate Editor M. Sadegh

Acknowledgements

The authors would like to express their gratitude to Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG), Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) and Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) for the financial support for the project under which this research was carried out.

Data availability statement

Some or all data, models, or codes that support the findings of this study are available from the corresponding authors upon reasonable request.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) [165555/2017-3]; Fundação de Amparo à Pesquisa do Estado de Minas Gerais [545].