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

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 hydrologi...

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Main Authors: 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, Vinicius Oliveira Silva
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Language:English
Published: MDPI AG 2023-07-01
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Online Access:https://www.mdpi.com/2079-9276/12/8/87
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author 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
Vinicius Oliveira Silva
author_facet 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
Vinicius Oliveira Silva
author_sort Conceição de M. M. de Oliveira
collection DOAJ
container_title Resources
description 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.
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spelling doaj-art-76d5b077afaf4e8fa331a14ec2f1b4bf2025-08-19T22:49:42ZengMDPI AGResources2079-92762023-07-011288710.3390/resources12080087Hydrological Model Performance in the Verde River Basin, Minas Gerais, BrazilConceição de M. M. de Oliveira0Lívia A. Alvarenga1Samuel Beskow2Zandra Almeida da Cunha3Marcelle Martins Vargas4Pâmela A. Melo5Javier Tomasella6Ana Carolina N. Santos7Vinicius S. O. Carvalho8Vinicius Oliveira Silva9Department of Water Resources, Federal University of Lavras, Lavras 37200-000, BrazilDepartment of Water Resources, Federal University of Lavras, Lavras 37200-000, BrazilCenter for Technological Development/Water Resources Engineering, Federal University of Pelotas, Pelotas 96010-610, BrazilCenter for Technological Development/Water Resources Engineering, Federal University of Pelotas, Pelotas 96010-610, BrazilCenter for Technological Development/Water Resources Engineering, Federal University of Pelotas, Pelotas 96010-610, BrazilDepartment of Water Resources, Federal University of Lavras, Lavras 37200-000, BrazilNational Institute for Space Research (INPE), National Center for Monitoring and Early Warning of Natural Disasters (CEMADEN), Postal Code 01, Cachoeira Paulista 12630-970, BrazilNational Institute for Space Research (INPE), National Center for Monitoring and Early Warning of Natural Disasters (CEMADEN), Postal Code 01, Cachoeira Paulista 12630-970, BrazilInstitute of Natural Resources, Federal University of Itajubá, Itajubá 37500-903, BrazilDepartment of Water Resources, Federal University of Lavras, Lavras 37200-000, BrazilIn 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.https://www.mdpi.com/2079-9276/12/8/87LASHVICMHD-INPEperformancehydrological models
spellingShingle 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
Vinicius Oliveira Silva
Hydrological Model Performance in the Verde River Basin, Minas Gerais, Brazil
LASH
VIC
MHD-INPE
performance
hydrological models
title Hydrological Model Performance in the Verde River Basin, Minas Gerais, Brazil
title_full Hydrological Model Performance in the Verde River Basin, Minas Gerais, Brazil
title_fullStr Hydrological Model Performance in the Verde River Basin, Minas Gerais, Brazil
title_full_unstemmed Hydrological Model Performance in the Verde River Basin, Minas Gerais, Brazil
title_short Hydrological Model Performance in the Verde River Basin, Minas Gerais, Brazil
title_sort hydrological model performance in the verde river basin minas gerais brazil
topic LASH
VIC
MHD-INPE
performance
hydrological models
url https://www.mdpi.com/2079-9276/12/8/87
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