Reference Curve Numbers and Behavior for Sugarcane on Highly Weathered Tropical Soils

Sartori, Aderson; Hawkins, Richard H.; Genovez, Abel Maia

doi:10.1061/(asce)ir.1943-4774.0000354

Cited by 17 publications

(11 citation statements)

References 18 publications

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“…Our findings showed a good model performance with values of R 2 , NSE, and PBIAS of 0.71, 0.66, and -2.02, respectively. These results highlight the importance of future investigations about the use of the CN method in tropical watersheds, such as that developed in the present study and by Andrade et al (2017), Oliveira et al (2016), and Sartori, Hawkins and Genovez (2011).…”

Section: Cn Valuessupporting

confidence: 64%

“…CN method is also one of the most widely used rainfallrunoff model in Brazil, and is recommended in government agencies handbooks (SARTORI; HAWKINS; GENOVEZ, 2011). However, tabulated CN values have not been fitted for Brazilian watersheds, mainly because few studies have been carried out to compute CN values using observed rainfall and runoff data (See ANDRADE et al, 2017;OLIVEIRA et al, 2016;SARTORI;HAWKINS;GENOVEZ, 2011). Therefore, in this study we evaluate the use of the CN method to estimate runoff in a tropical watershed.…”

Section: Introductionmentioning

confidence: 99%

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Initial abstraction ratio and Curve Number estimation using rainfall and runoff data from a tropical watershed

Valle

Rodrigues

Oliveira

2019

RBRH

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The Curve Number (CN) method is extensively used for predict surface runoff from storm events. However, remain some uncertainties in the method, such as in the use of an initial abstraction (λ) standard value of 0.2 and on the choice of the most suitable CN values. Here, we compute λ and CN values using rainfall and runoff data to a rural basin located in Midwestern Brazil. We used 30 observed rainfall-runoff events with rainfall depth greater than 25 mm to derive associated CN values using five statistical methods. We noted λ values ranging from 0.005 to 0.455, with a median of 0.045, suggesting the use of λ = 0.05 instead of 0.2. We found a S0.2 to S0.05 conversion factor of 2.865. We also found negative values of Nash-Sutcliffe Efficiency (to the estimated and observed runoff). Therefore, our findings indicated that the CN method was not suitable to estimate runoff in the studied basin. This poor performance suggests that the runoff mechanisms in the studied area are dominated by subsurface stormflow.

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Section: Cn Valuessupporting

confidence: 64%

Section: Introductionmentioning

confidence: 99%

Initial abstraction ratio and Curve Number estimation using rainfall and runoff data from a tropical watershed

Valle

Rodrigues

Oliveira

2019

RBRH

View full text Add to dashboard Cite

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“…However, this behavior can also occur on cropped land given sufficient cover. Sartori et al (2011) give examples for sugarcane in Brazil under full cover on lateritic soils for up to 3 inches of event rainfall and C values from 0.008 to 0.016. Several entries in Table 2 indicate other cropped lands with the Complacent-Violent form.…”

Section: General Rainfall-runoff Classificationsmentioning

confidence: 99%

Watershed Management 2015

Moglen¹

2015

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“…(USDA-NRCS), has been one of the methods most often used to estimate direct surface runoff from a given rainfall event (Hawkins et al, 2009). Because of the simplicity, versatility, and availability of necessary data, this method has been quite popular within the United States and other countries (Ponce and Hawkins, 1996;Sartori et al, 2011;Hawkins et al, 2009). Several hydrologic, soil erosion and water quality models have used the curve number method, such as:…”

Section: Introductionmentioning

confidence: 99%

“…The curve number method is the most widely used method in Brazil for runoff estimation, despite that the tabulated CN values have not been adapted for Brazilian conditions (Sartori et al, 2011). In addition, there are several uncertainties in the use of CN method to estimate surface runoff from regions under undisturbed cover (Tedela et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Water balance and soil erosion in the Brazilian Cerrado

Oliveira¹

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Deforestation of the Brazilian savanna (Cerrado) region has caused major changes in hydrological processes. These changes in water balance and soil erosion are still poorly understood, but are important for making land management decisions in this region. Therefore, it is necessary to understand the magnitudes of hydrological processes and soil erosion changes on local, regional and continental scales, and the consequences that are generated. The main objective of the study presented in this doctoral thesis was to better understand the mechanism of hydrological processes and soil erosion in the Cerrado. To achieve that, I worked with different scales (hillslope, watershed and continental) and using data from experimental field, laboratory, and remote sensing. The literature review reveals that the annual rainfall erosivity in Brazil ranges from 1672 to 22,452 MJ mm ha-1 h-1 yr-1. The smallest values are found in the northeastern region, and the largest in the north and the southeastern region. I found that the canopy interception may range from 4 to 20% of gross precipitation and stemflow around 1% of gross precipitation in the cerrado. The average runoff coefficient was less than 1% in the plots under cerrado and that the deforestation has the potential to increase up to 20 fold the runoff coefficient value. The results indicate that the Curve Number method was not suitable to estimate runoff under undisturbed Cerrado, bare soil (hydrologic soil group A), pasture, and millet. Therefore, in these cases the curve number is inappropriate and the runoff is more aptly modeled by the equation Q = CP, where C is the runoff coefficient. The water balance from the remote sensing data across the Brazilian Cerrado indicates that the main source of uncertainty in the estimated runoff arises from errors in the TRMM precipitation data. The water storage change computed as a residual of the water budget equation using remote sensing data (TRMM and MOD16) and measured discharge data shows a significant correlation with terrestrial water storage change obtained from the GRACE data. The results show that the GRACE data may provide a satisfactory representation of water storage change for large areas in the Cerrado. The average annual soil loss in the plots under bare soil and cerrado were 15.25 t ha-1 yr-1 and 0.17 t ha-1 yr-1 , respectively. The Universal Soil Loss Equation cover and management factor (C-factor) for the plots under native cerrado vegetation was 0.013. The results showed that the surface runoff, soil erosion and C-factor for the undisturbed Cerrado changes between seasons. The greatest C-factor values were found in the summer and fall. The results found in this doctoral thesis provide benchmark values of the water balance components and soil erosion in the Brazilian Cerrado that will be useful to evaluate past and future land cover and land use changes for this region. In addition, I conclude that the remote sensing data are useful to evaluate the water balance components over Cerrado regions, identify dry period...

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Reference Curve Numbers and Behavior for Sugarcane on Highly Weathered Tropical Soils

Cited by 17 publications

References 18 publications

Initial abstraction ratio and Curve Number estimation using rainfall and runoff data from a tropical watershed

Initial abstraction ratio and Curve Number estimation using rainfall and runoff data from a tropical watershed

Watershed Management 2015

Water balance and soil erosion in the Brazilian Cerrado

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