Sensitivity analysis of the Soil and Water Assessment Tools (SWAT) model in streamflow modeling in a rural river basin

Moreira, Luana Lavagnoli; Schwamback, Dimaghi; Rigo, Daniel

doi:10.4136/ambi-agua.2221

Cited by 17 publications

(6 citation statements)

References 23 publications

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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%

Using an Improved SWAT Model to Simulate Karst Sinkholes: A Case Study in Southwest China

Zhou

Zhao²,

Cao³

et al. 2022

Front. Environ. Sci.

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Hydrological simulation of the karst area is significant for assessing water resources accurately and exploring the relationship in the hydrologic cycle. However, the existence of sinkholes causes the spatial heterogeneity of aquifers and changes the distribution of surface water as well as groundwater, which makes the traditional hydrogeological model difficult to quantitatively characterize the hydrological processes of the sinkhole. Hence, improving the hydrological model for the karst area is a necessary direction at present. The soil and water assessment tool (SWAT) is one of the most widely used semi-distributed hydrological models right now in the world. In this study, we focused on the upper course of the South Panjiang River and used the pond module of the SWAT model to simulate karst sinkholes, modifying the source code to realize the rapid response to the recharge in karst sinkholes. After the improvement, the surface runoff, especially the peak value of the Xiqiao Hydrological Station at the outlet, has been reduced, while the baseflow of modified subbasins has been increased and the water yield is under a state of water balance. In addition, the model evaluation factor R2 was strengthened from 0.76 to 0.83 and NSE was strengthened from 0.66 to 0.79 of the Xiqiao Hydrological Station during the validation period. The improved model was used to analyze the spatial distribution of hydrological components. Also, it was found there are spatial relations between runoff modulus–slope and baseflow–surface runoff–land use types. The analysis demonstrated that the improved SWAT model could effectively change the hydrological components and simulate the rapid replenishment of karst sinkholes.

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Section: Improved Model Evaluationsupporting

confidence: 86%

Using an Improved SWAT Model to Simulate Karst Sinkholes: A Case Study in Southwest China

Zhou

Zhao²,

Cao³

et al. 2022

Front. Environ. Sci.

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“…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

Parâmetros pedológicos para estimativa de vazões em bacias hidrográficas

2019

Self Cite

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Modelos hidrológicos, como o Soil and Water Assessment Tools (SWAT), são poderosas ferramentas para o gerenciamento de recursos hídricos. Entretanto, seu uso depende de muitos dados de entrada, comumente oriundos de bases internacionais e nacionais não realísticas. Dentre os dados de entrada, informações pedológicas em níveis regionais e locais são tidas como as mais críticas de obtenção e manuseio, especialmente em regiões em desenvolvimento como o Brasil, e a carência dessas informações leva a incertezas em simulações. O presente artigo tem como objetivo apresentar os procedimentos necessários para a obtenção dos valores de cada parâmetro pedológico exigido pelo modelo SWAT para estimativa de vazões em bacias hidrográficas. Ao longo trabalho são elencados os procedimentos para obtenção dos parâmetros pedológicos para cada classe de solo e ao seguir tal metodologia, foram identificados os valores para as classes presentes na área de estudo. O estudo se aplica à bacia do rio Jucu, localizada no estado do Espírito Santo, sendo referência e base de dados a futuros estudos hidrológicos da mesma região ou de outras; em vez de usar valores pouco coerentes com a realidade local.

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“…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%

Land Use and Land Cover Change and Its Impact on Flood Hazard Occurrence in Wabi Shebele River Basin of Ethiopia

Wudineh

2022

Preprint

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Land-use and land-cover (LULC) changes can impact the hydrological conditions such as land surface coefficient, runoff, infiltration, and hydrographic characteristics of the watersheds. This study investigates the changes in LULC and its impact on water resources of the Wabi Shebele basin using Soil and Water Assessment Tool (SWAT) and a Separation method. Surface and groundwater parameters in northwestern part of the basin; and soil and surface parameters in the eastern highland and southern lowland part of the basin are the most sensitive parameters identified for water production. Out of ten LULC types that exist in the basin, three of them (i.e., cropland, grassland, and bare land) showed growth while two LULC types (i.e., forest and woodland) shows a significant decrease in the past four decades from the 1980s to 2010s. The coverage of cropland was increased by 48.63% while forest and woodland were decreased by 49.14% and 14.76% respectively in the period. Streamflow simulated during this period indicates increases in those watersheds shows significant cropland increases and forest coverage decreases particularly in Wabi at Dodola, Maribo, Robe, and Erer watersheds. Flood indices (i.e., AMAX, SMW, SMSp, and SMSu) calculated from simulated daily streamflow under different LULC map indicates increasing in the middle and northwestern watersheds up to 1.83% and 0.44% respectively. The separation method performed to estimate the impact level of LULC change impact change on flood discharge shows that LULC change has comparable impact level with climate change on streamflow and flood values particularly in middle part of the basin.

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Sensitivity analysis of the Soil and Water Assessment Tools (SWAT) model in streamflow modeling in a rural river basin

Cited by 17 publications

References 23 publications

Using an Improved SWAT Model to Simulate Karst Sinkholes: A Case Study in Southwest China

Using an Improved SWAT Model to Simulate Karst Sinkholes: A Case Study in Southwest China

Parâmetros pedológicos para estimativa de vazões em bacias hidrográficas

Land Use and Land Cover Change and Its Impact on Flood Hazard Occurrence in Wabi Shebele River Basin of Ethiopia

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