Hydrological Model Performance in the Verde River Basin, Minas Gerais, Brazil

Conceição de M. M. de Oliveira, Lívia A. Alvarenga (), Samuel Beskow, Zandra Almeida da Cunha, Marcelle Martins Vargas, Pâmela A. Melo, Javier Tomasella, Ana Carolina N. Santos, Vinicius S. O. Carvalho and Vinicius Oliveira Silva
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Conceição de M. M. de Oliveira: Department of Water Resources, Federal University of Lavras, Lavras 37200-000, Brazil
Lívia A. Alvarenga: Department of Water Resources, Federal University of Lavras, Lavras 37200-000, Brazil
Samuel Beskow: Center for Technological Development/Water Resources Engineering, Federal University of Pelotas, Pelotas 96010-610, Brazil
Zandra Almeida da Cunha: Center for Technological Development/Water Resources Engineering, Federal University of Pelotas, Pelotas 96010-610, Brazil
Marcelle Martins Vargas: Center for Technological Development/Water Resources Engineering, Federal University of Pelotas, Pelotas 96010-610, Brazil
Pâmela A. Melo: Department of Water Resources, Federal University of Lavras, Lavras 37200-000, Brazil
Javier Tomasella: National Institute for Space Research (INPE), National Center for Monitoring and Early Warning of Natural Disasters (CEMADEN), Postal Code 01, Cachoeira Paulista 12630-970, Brazil
Ana Carolina N. Santos: National Institute for Space Research (INPE), National Center for Monitoring and Early Warning of Natural Disasters (CEMADEN), Postal Code 01, Cachoeira Paulista 12630-970, Brazil
Vinicius S. O. Carvalho: Institute of Natural Resources, Federal University of Itajubá, Itajubá 37500-903, Brazil
Vinicius Oliveira Silva: Department of Water Resources, Federal University of Lavras, Lavras 37200-000, Brazil

Resources, 2023, vol. 12, issue 8, 1-13

Abstract: In hydrological modelling, it is important to consider the uncertainties related to a model’s structures and parameters when different hydrological models are used to represent a system. Therefore, an adequate analysis of daily discharge forecasts that takes into account the performance of hydrological models can assist in identifying the best extreme discharge forecasts. In this context, this study aims to evaluate the performance of three hydrological models—Lavras Simulation of Hydrology (LASH), Variable Infiltration Capacity (VIC), and Distributed Hydrological Model (MHD-INPE) in the Verde River basin. The results demonstrate that LASH and MHD can accurately simulate discharges, thereby establishing them as crucial tools for managing water resources in the study region’s basins. Moreover, these findings could serve as a cornerstone for future studies focusing on food and water security, particularly when examining their connection to climate change scenarios.

Keywords: LASH; VIC; MHD-INPE; performance; hydrological models (search for similar items in EconPapers)
JEL-codes: Q1 Q2 Q3 Q4 Q5 (search for similar items in EconPapers)
Date: 2023
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