Impacts of sugarcane expansion on water availability in a river basin in southeastern Brazil

Oliveira, Kenny Delmonte; Tomasella, Javier; Caram, Rochane de Oliveira; Falck, Aline S.; Sanches, I. D.

doi:10.1016/j.catena.2022.106437

Cited by 6 publications

(2 citation statements)

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“…The spatialization of the basin's soil classes was determined based on the new map of Brazil [33]. To input the required vegetation parameters in the LASH, VIC, and MHD models, we gathered data from the literature [19][20][21]28,[34][35][36][37][38][39][40] on leaf area index, root depth, albedo, surface resistance, and height. Notably, the vegetation parameters were kept constant throughout the model calibration process.…”

Section: Observed Datamentioning

confidence: 99%

“…The MHD-INPE [16] is a distributed model that was developed at the Instituto Nacional de Pesquisas Espaciais (INPE), and it is an adaptation of the Large Basin Model that was developed at the Instituto de Pesquisas Hidráulicas (MGB-IPH). The MHD-INPE has been successfully applied to basins of varying sizes, ranging from 5 to 1.4 million km 2 , for studies on land-use and land-cover changes, climate change and hydropower, discharge forecasting, and water sustainability, for which it has consistently yielded satisfactory results [17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

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

de Oliveira,

Alvarenga,

Beskow

et al. 2023

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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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