Hydrological simulation with SWAT and VIC Models in the Verde River Watershed, Minas Gerais

Alvarenga, Lívia Alves; Carvalho, Vinícius Siqueira Oliveira; Oliveira, Vinícius Augusto de; Mello, Carlos Rogério de; Colombo, Alberto; Tomasella, Javier; Melo, Pâmela Aparecida

doi:10.4136/ambi-agua.2492

Cited by 8 publications

(7 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Rodrigues et al (2020) applied a SWAT model to simulate the monthly streamflow for three basins of the Brazilian Cerrado biome. Alvarenga et al (2020) compared the SWAT and Variable Infiltration Capacity (VIC) models in the monthly streamflow simulation for the Verde River Watershed, located in the Minas Gerais state in southern Brazil. However, despite the wide use of the SWAT model, it requires a large amount of temporal and spatial data, maps, and input parameters, that are sometimes hard to predict (Makwana and Tiwari, 2014).…”

Section: Introductionmentioning

confidence: 99%

Hydrological modeling in a basin of the Brazilian Cerrado biome

Rodrigues¹,

Andrade²,

Viola³

et al. 2021

Rev. ambiente água

Self Cite

View full text Add to dashboard Cite

The Brazilian Cerrado biome (BCB) is among 25 biodiversity hotspots identified worldwide, and covers the recharge area of important aquifers and rivers in South America. The increase in deforestation has been threatening water availability in this region. In order to assist in the water-resource management of the BCB, this study models the daily streamflow in a basin of the Cerrado, using two approaches: a process-based model (Soil and Water Assessment Tool - SWAT) and the data-driven model (Artificial Neural Network - ANN). The performance of the models was evaluated by the Nash-Sutcliffe coefficient (NSE), coefficient of determination (R2) and flow-duration-curves (FDC). The results indicate that SWAT (NSE > 0.61; R2 > 0.68) and ANN (NSE > 0.91; R2 > 0.79) models are suitable tools in daily streamflow modeling of the studied basin, with the ANN model being the most accurate. Based on FDC, the ANN model was also better than the SWAT model for all frequencies evaluated. Thus, the ANN model is a promising new approach for daily streamflow modelling in this region. Moreover, the results of this study can help water-resource managers in planning and implementing appropriate water allocation and conservation measures in the Brazilian Cerrado biome.

show abstract

Section: Introductionmentioning

confidence: 99%

Hydrological modeling in a basin of the Brazilian Cerrado biome

Rodrigues¹,

Andrade²,

Viola³

et al. 2021

Rev. ambiente água

Self Cite

View full text Add to dashboard Cite

show abstract

“…A higher value of Ws will raise the water content required for rapidly increasing, non-linear baseflow, which will tend to delay runoff peaks. In addition to the calibration of the VIC model, the parameters of the surface-flow propagation model (Route) were also refined (kinematic wave speed (C) and diffusivity (D)) (Alvarenga et al, 2020).…”

Section: Datamentioning

confidence: 99%

“…The calibration was done by adjusting 14 parameters that represent the surface and subsurface flow processes. These parameters are: soil evaporation compensation coefficient (ESCO); initial SCS runoff curve number for moisture condition II (CN2); the baseflow recession constant (ALPHA_BF), Groundwater delay time (GW_DELAY); threshold depth of water in the shallow aquifer required for return flow to occur (GWQMN); maximum canopy storage (CANMX); effective hydraulic conductivity in main channel (CH_K2), Manning's "n" value for the main channel (CH_N2); plant uptake compensation factor (EPCO); groundwater "revap" coefficient (GW_REVAP); threshold depth of water in the shallow aquifer for "revap" or percolation to the deep aquifer to occur (REVAPMN); soil available water capacity (SOL_AWC); saturated hydraulic conductivity (SOL_K) and surface runoff lag coefficient (SURLAG) (Alvarenga et al, 2020).…”

Section: Datamentioning

confidence: 99%

“…Hydrological models were calibrated and validated to the monthly observed streamflow in the Verde River Basin by Alvarenga et al (2020). Figure 2 shows the monthly mean hydrographs for the SWAT and VIC in the calibration and validation periods, indicating better performance for peak streamflow simulated for VIC, while SWAT was able to capture the behavior of the recession period in the VRB.…”

Section: Models Performancementioning

confidence: 99%

See 1 more Smart Citation

Impact of climate change on monthly streamflow in the Verde River Basin using two hydrological models

Carvalho¹,

Alvarenga²,

Oliveira³

et al. 2021

Rev. ambiente água

Self Cite

View full text Add to dashboard Cite

This study assessed the impact of climate change on monthly streamflow in the Verde River Basin, located in the Grande River Basin headwater. For this purpose, the SWAT and VIC hydrological models were used to simulate the monthly streamflow under RCP4.5 and RCP8.5 scenarios, obtained by Regional Climate Models Eta-HadGEM2-ES, Eta-CanESM2 and Eta-MIROC5 in the baseline period (1961-2005) and three time-slice (2011-2040, 2041-2070, and 2071-2099) inputs. At the end of the century, the Eta-HadGEM2-ES showed larger decrease of precipitation in both radiative scenarios, with an annual reduction of 17.4 (RCP4.5) and 32.3% (RCP8.5), while the Eta-CanESM2 indicated major warming, with an annual increase of 4.7 and 10.2°C under RCP4.5 and RCP8.5, respectively. As well as precipitation changes, the Eta-HadGEM2-ES also showed greater impacts on streamflow under RCP4.5 for the first time-slice (2011-2040), with an annual decrease of 58.0% for both hydrological models, and for the RCP8.5 scenario by the end the century (2071-2099), with an annual reduction of 54.0 (VIC model) and 56.8% (SWAT model). Regarding monthly streamflow, the Eta-HadGEM2-ES and Eta-CanESM2 inputs indicated decrease under the RCP8.5 scenario by the end the century, varying from 7.2 to 66.3 % (VIC model) and 37.0 to 64.7% (SWAT model). In general, Eta-MIROC5 presented the opposite in terms of direction in the simulations with both hydrological models at the end of the century. Combined effects of climate models, hydrological model structures and scenarios of climate change should be considered in assessments of uncertainties of climate change impacts.

show abstract

“…The selection of a hydrological model should be based on the intended application since each model has its own assumptions and limitations. The use of conceptual and distributed hydrological models is justified by their ability to satisfactorily represent the physical processes occurring within a basin while accounting for the spatial variability of physical and meteorological parameters [6,7]. Therefore, factors such as the availability of data in a region, the number of required parameters, and the level of description of hydrological processes must all be taken into consideration.…”

Section: Introductionmentioning

confidence: 99%

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

de Oliveira,

Alvarenga,

Beskow

et al. 2023

Resources

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Hydrological simulation with SWAT and VIC Models in the Verde River Watershed, Minas Gerais

Cited by 8 publications

References 17 publications

Hydrological modeling in a basin of the Brazilian Cerrado biome

Hydrological modeling in a basin of the Brazilian Cerrado biome

Impact of climate change on monthly streamflow in the Verde River Basin using two hydrological models

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

Contact Info

Product

Resources

About