Hydrological Modeling of Tributaries of Cantareira System, Southeast Brazil, with the Swat Model

Pontes, Lucas Machado; Viola, Marcelo Ribeiro; Silva, Marx L. Naves; Bispo, Diêgo Faustolo Alves; Curi, Nilton

doi:10.1590/1809-4430-eng.agric.v36n6p1037-1049/2016

Cited by 26 publications

(19 citation statements)

References 23 publications

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“…Temporal distributions, as well as runoff generation rates, can be extrapolated to neighboring basins that have similar morphoclimatic characteristics (Lopes et al, 2017), considering the lack of hydrological data in Brazil (Pontes et al, 2016). This knowledge can compose a database on long-term flows, essential for planning and managing regional water resources (Pruski et al, 2016).…”

Section: Resultsmentioning

confidence: 99%

Seasonal Dynamics of Agricultural Soil Cover in Runoff Generation

et al. 2019

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Seasonal changes in agricultural soil use due to agroclimatic conditions affect the water cycle in watersheds. This study aimed to understand the temporal variation of runoff inherent to the seasonal occupation dynamics of the agricultural soil in the basin that drains the upper valley of the Marrecas River, upstream of the urban perimeter of Francisco Beltrão, PR. The effects of runoff were verified through flow peaks simulated by the HEC-HMS model in twelve monthly soil use scenarios, under seven precipitation return periods. The results indicated a strong relationship between bare soil and flow peaks, temporally delimiting April and March as the largest runoff generators and January and August as the smallest ones. The ratio quantified by rates of increase in flow peaks ranging from 0.78 to 1.64 m 3 s −1 per km 2 of bare soil. In addition, the survey of historical precipitation data also warns of the generation of large runoff volumes in October. Therefore, the strong correlation between the increase in flow peaks and occupation by bare soil can be quantified with good precision, but it is also necessary to consider historical precipitation records to understand the temporal distribution of runoff and flood risks.

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Section: Resultsmentioning

confidence: 99%

Seasonal Dynamics of Agricultural Soil Cover in Runoff Generation

et al. 2019

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“…There are five different calibration methods in SWAT-CUP: SUFI-2, PSO, GLUE, ParaSol and MSMC. The SUFI-2 method was selected because of the good results found in several studies (DAGUPPATI et al, 2015a;FRANCO;BONUMÁ, 2017;PONTES et al, 2016) and its applicability in developed countries in several regions of Brazil. The chosen method includes an uncertainty analysis and can work with a large number of parameters (Abbaspour, 2005).…”

Section: Analysis Of Sensitivity and Calibration Of The Modelmentioning

confidence: 99%

“…For Engel et al (2007) a model is a tool that can be used to analyze a particular hypothesis, not the hypothesis itself. Thus, its use is fundamental to testing and evaluating temporal and spatial changes due to hydrological phenomena (Pontes et al, 2016;Blainsk, Acosta and Nogueira, 2017 (Praskievicz and Chang, 2009;Devi, Ganasri and Dwarakish, 2015). A model that is being widely used in Brazil is SWAT (ARNOLD et al, 1998), which can be characterized as a semi-distributed hydrological model that performs daily calculations and is capable of predicting flow, surface runoff, sediment production, and water quality resulting from changes in land use and land cover at a watershed scale (Gassman et al, 2007;Arnold et al, 2012a).…”

Section: Introductionmentioning

confidence: 99%

Análise de sensibilidade e calibração espacial do modelo SWAT aplicado em uma bacia do litoral pernambucano através de dados climáticos observados e de reanálise (Analysis of sensitivity and calibration of the SWAT model applied in a basin in northeast of Brazil using observed and reanalysis climatic data)

Paz

Galvíncio

Holanda

et al. 2018

RBGF

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The hydrological model SWAT is very widely used in Brazil, and calibration is needed to adjust results obtained through modeling to observed data. This article describes the spatial calibration of a SWAT model for the Goiana river basin in Pernambuco, using observed and reanalyzed climatic data. Nine rainfall stations were used, with the percentage of gaps in the simulation ranging from 0 to 14.19%. Nine stations of reanalysis climatic data obtained through the CFSR were used. The sensitivity and calibration analyses were performed in five subbasins. Use of observed data from local stations produced a greater number of satisfactorily calibrated stations. However, using both local stations and reanalysis climate data produced better statistics for subbasins with few rainfall stations that also had substantial missing data. The statistics obtained demonstrated the applicability of the model to monthly flow estimates. Even though model predictions for the driest area of the basin were unsatisfactory, the calibrated model provided good predictions for the main basin outlet.

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“…In these types of studies, hydrological modeling is presented as a useful tool to simulate future scenarios in different land uses and climatic variations (Clark et al, 2015;Kauffeldt et al, 2016;Sorribas et al, 2016). There are several hydrological models described in the literature, among them are the SWAT and the Hydrological Model of Large Basins (MGB-IPH) (Pontes et al, 2016;Paz et al, 2018;Brewer et al, 2018;Daggupati et al, 2018). The MGB-IPH is a mathematical model written in Fortran that can be used to represent hydrological processes in watersheds with areas equal to or greater than 10,000 km 2 (Collischonn et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Sensitivity test of the Hydrological Model of Large Basins (MGB-IPH) in scenarios of extreme changes in soil use and occupation, precipitation regime and mean air temperature.

Jati

Tóta

Tapajós

et al. 2020

Rev. Bras. Geog. Fis.

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a rainfall-type model validated in several basins in South America, including in rivers of the Amazon Basin. The inputs of the model are climatological, rainfall, relief, and soil cover data. The objective of this study is to test the sensitivity of the model in extreme scenarios of soil use and occupation, changes in precipitation and mean air temperature. The case study was carried out in the Curuá-Una river basin, located southeast of Santarém-Pará. The MapWindow-GIS software and the IPH-Hydro Tools plug-in were used in the preprocessing, and the MGB-IPH plugin was processed. The results showed that the MGB-IPH has sensitivity to changes in soil use, precipitation, and mean air temperature. In the sensitivity test of soil use and occupation the results showed that low vegetation and anthropization increase the maximum peaks of flow; In periods of Amazon flood with low rainfall occurrence, the low vegetation scenario has a higher flow rate; And the forest scenery prevents intense floods. In the tests of changes in the precipitation regime, a 50% decrease in rainfall reduced the flow by 32% and a 50% increase in rainfall increased the flow by 218.6%. However, in the tests of increase of the mean air temperature the results did not show significant responses in the flow regime, however, this scenario, added with the increase and / or decrease of the precipitation regime, presented as attenuator for both floods and droughts. Teste de sensibilidade do Modelo Hidrológico de Grandes Bacias (MGB-IPH)em cenários de mudanças extremas no uso e ocupação do solo e, regime de precipitação e temperatura média do ar R E S U M O O Modelo Hidrológico Conceitual Distribuído de Grandes Bacias do Instituto de Pesquisas Hidráulicas (MGB-IPH) é um modelo do tipo chuva-vazão validado em diversas bacias da América do Sul, inclusive, em rios da bacia amazônica. As entradas do modelo são dados climatológicos, relevo e cobertura do solo. Pretende-se neste estudo testar a sensibilidade do modelo em cenários extremos de uso e ocupação do solo e, alterações na precipitação e temperatura média do ar. O estudo de caso foi realizado na bacia do rio Curuá-Una localizado a sudeste de Santarém-Pará. No pré-processamento utilizou-se o software MapWindow-GIS e o plugin IPH-Hydro Tools e no processamento utilizou-se o plugin MGB-IPH. Os resultados mostraram que o MGB-IPH possui sensibilidade às mudanças no uso do solo, precipitação e temperatura média do ar. No teste de sensibilidade de uso e ocupação do solo os resultados mostraram que vegetação baixa e antropização aumentam os picos máximos de vazão; em períodos de cheia amazônica com ocorrência de baixa precipitação o cenário vegetação baixa possui maior vazão; e o cenário floresta evita cheias intensas. Nos testes de mudanças no regime de precipitação a diminuição de 50% de chuvas reduziu a vazão em 32% e, o aumento de 50% de chuvas aumentou a vazão em 218,6%. Já nos testes de aumento da temperatura média do ar os resultados não mostraram respostas significativas no regime de vazão, porém este c...

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Hydrological Modeling of Tributaries of Cantareira System, Southeast Brazil, with the Swat Model

Cited by 26 publications

References 23 publications

Seasonal Dynamics of Agricultural Soil Cover in Runoff Generation

Seasonal Dynamics of Agricultural Soil Cover in Runoff Generation

Sensitivity test of the Hydrological Model of Large Basins (MGB-IPH) in scenarios of extreme changes in soil use and occupation, precipitation regime and mean air temperature.

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