Carolina Sacramento VieiraDiogo Nunes da Silva RamosAntônio José da Silva NetoDavidson Martins Moreira
This study aims to analyze the hydrological behavior of the Negro River basin, part of the greater Amazon Basin, through the simulation of rainfall and streamflow using the mesoscale Weather Research and Forecasting (WRF-Hydro) model. The premise is that streamflow simulation is a crucial tool for predicting environmental impacts, enabling timely decision-making and contributing to the sustainable management of river basins. Simulations were conducted with a spatial resolution of 1 km and a 100 m channel network, covering the period from January 1st to January 31, 2024. It was possible to evaluate rainfall and streamflow distribution, exploring the behavior of variables in the region. Furthermore, the accuracy of streamflow simulation at each river gauging station is directly influenced by the temporal distribution of rainfall simulated within the drainage network. The simulations proved satisfactory, highlighting the model's potential to support studies and environmental analyses.
Paul Hernández-RomeroCarlos Patiño-GómezPolioptro Martínez AustriaBenito Corona-Vásquez
Aadhi NareshHarish GuptaMudavath Gopal NaikSandeep HamsaManne Mohan RajuDinesh C. S. Bisht
Myungjin LeeNarae KangHongjun JooHung Soo KimSoojun KimJongso Lee