2018
DOI: 10.4136/ambi-agua.2221
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Sensitivity analysis of the Soil and Water Assessment Tools (SWAT) model in streamflow modeling in a rural river basin

Abstract: The uncertainties present in hydrological models have made them difficult and often impossible to apply. This work evaluated the sensitivity of input parameters in the SWAT model used for the modeling of average monthly flow-discharge in the Jucu River Basin, located in the southeast portion of the state of Espírito Santo, Brazil. Sensitivity analysis was performed using the SWAT-CUP program, which uses the SUFI-2 algorithm. Four sensitivity analysis tests differing by the length of hydrological series, number… Show more

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Cited by 19 publications
(8 citation statements)
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“…PND_VOL affects the initial volume of the pond. All parameters were adjusted by replace, and the parameters identified in this study are consistent with those related studies (Moreira et al, 2018;Thavhana et al, 2018;Liang et al, 2020).…”
Section: Improved Model Evaluationsupporting
confidence: 86%
“…PND_VOL affects the initial volume of the pond. All parameters were adjusted by replace, and the parameters identified in this study are consistent with those related studies (Moreira et al, 2018;Thavhana et al, 2018;Liang et al, 2020).…”
Section: Improved Model Evaluationsupporting
confidence: 86%
“…A As estimativas de vazões pelo modelo SWAT dependem de dados de entrada correlacionados às características físiográficas (altitude, uso e ocupação do solo e pedologia) e climáticas (radiação solar, temperatura do ar, precipitação pluviométrica, umidade relativa do ar e velocidade do vento) da bacia hidrográfica em foco. Todas esses componentes são integrados ao SWAT por meio de um Sistema de Informação Geográfica (SIG), ArcSWAT, conforme metodologia apresentada por Moreira et al (2018).…”
Section: Methodsunclassified
“…The p-value and t-statistic is used to eliminate nonsensitive parameters from the calibration process. The higher the absolute value of t-stat and smaller the value of p-value, the more sensitive is the parameter (Abbaspour et al 2007;Moreira et al 2018).…”
Section: 2lulc Informationmentioning
confidence: 99%