Different approaches to estimate the sediment yield in a tropical watershed

Colman, Carina Barbosa; Garcia, Karina Mendes Pinheiro; Pereira, Rodrigo Bahia; Shinma, Enio Arriero; Lima, Fernanda Ely; Gomes, Ariel Ortiz; Oliveira, Paulo Tarso Sanches de

doi:10.1590/2318-0331.231820170178

Cited by 22 publications

(7 citation statements)

References 21 publications

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“…We found a SDR value of approximately 5% in the Córrego Água Azul catchment. This value has the same order of magnitude of the SDR (6.1%) found in a similar catchment in terms of annual sediment yield [3] and is similar to the values (5.5-10.5%) observed in a tropical catchment inside the same biome in Brazil [57]. De Vente, Poesen, Verstraeten, Rompaey and Govers [4] also reported studies in catchments with areas between 30-1000 km 2 and sediment yield (around 100 Mg yr −1 ) that also show SDR values smaller than 10%, indicating that our study area has a small SDR value; considering that the authors found values greater than 50% in some basins.…”

Section: Sediment Delivery Ratio (Sdr)supporting

confidence: 86%

USLE K-Factor Method Selection for a Tropical Catchment

et al. 2019

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The use of the Universal Soil Loss Equation (USLE) and the Sediment Delivery Ratio (SDR) facilitates sediment yield (SY) estimates in watersheds. However, the soil loss predictions are frequently unrealistic because of the methods used to estimate the USLE’s factors. Here, we evaluated the performance of methods to estimate the soil erodibility (K-factor) and the influence of its estimation in the SY predictions. K-factor values were obtained from three widely used equations and using a portable rainfall simulator. These values were used to compute annual average soil loss and SY in a tropical watershed. We compared SY estimates with a 15-month observed sediment discharge dataset sampled in the catchment outlet. The most reliable method for the K-factor estimating was the USLE nomograph. Furthermore, our results indicate that the use of a portable rainfall simulator to estimate the K-factor tends to underestimate soil loss and sediment delivery.

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Section: Sediment Delivery Ratio (Sdr)supporting

confidence: 86%

USLE K-Factor Method Selection for a Tropical Catchment

et al. 2019

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“…In the Almas River basin in Goiás, the average sediment production was 0.0088 metric ton (t) per day (d −1 ) per km 2 ranging from 0.0027 to 0.0548 t d −1 per km 2 , the greatest variations and sediment production were observed in agricultural areas with agriculture and pasture, exposed soil and steeper areas [7]. Another study reported that in the Guariroba River basin in Mato Grosso do Sul, sediment production increased in the larger drainage area and in steeper areas of the basin; thus, the sediment production in this tropical basin with predominance of pasture and planted forest varied from 0.0331 to 0.0482 t d −1 per km 2 [37].…”

Section: Discussionmentioning

confidence: 94%

Dynamics of Sediment Transport in the Teles Pires River Basin in the Cerrado-Amazon, Brazil

et al. 2022

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The Teles Pires River basin is experiencing significant water challenges due to recent urban growth, expansion of irrigated agriculture, and the rise of hydroelectric power plants in Brazil’s forest and savanna regions, impacting water availability and sediment production. This study evaluated and estimated the production of suspended sediment (Qss) and total sediment (Qst) in rivers and streams of the Teles Pires River basin, using different sampling methods for suspended-solid discharge: vertical sampling (reference), composite sampling (section), sampling along the standard vertical, and sampling along three verticals, collected using the equal-width increment method. The Qss and Qst values varied from 0.31 to 39.35 metric tons (t) per day (d−1) and from 0.32 to 43.70 t d−1, respectively. The average percentages of the entrained solid discharge varied from 3 to 5%, between the dry and rainy seasons, and across all hydrological sections. The different sampling methods of Qss resulted in similar Qst in each of the monitoring sections. The statistical performance of the simple linear regression model was satisfactory with Willmott index of agreement greater than 0.8234 and 0.9455 for estimates of Qss and Qst, respectively. The dynamics of sediment production and transport was influenced by land use and cover, drainage area, and the hydrological seasonality of the region. The different sampling methods of Qss are compatible with obtaining suspended and total solid discharge; however, the standard vertical sampling is the most simplified and can be applied in a hydrological section with uniform hydraulic conditions.

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“…The wet season starts in October and ends in May while the dry season runs from June to September. Further information about the Guariroba river basin can be found in Colman et al (2018), Almagro et al (2019), Sone et al (2019). In this case, we measured hydraulic data and the bed sediment particle size between 2017 and 2019 of three sections of the Guariroba river with distinct characteristics using ADCP (Riversurveyor Model M9, Sontek) and BLM-84 sampler for bed loads, among others (Supplementary Table S11 -http://abesdn.org.br/wp-content/uploads/2021/04/SupplementaryFIle_atualizado.pdf).…”

Section: Case Study and Nhss Computational Tool Verificationmentioning

confidence: 99%

A computational tool for hydrosedimentological and statistical calculations

Santos

Mauad

Miranda

et al. 2021

Eng. Sanit. Ambient.

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This paper presents a new computational tool called NH SEDIMENT AND STATISTIC which performs hydrosedimentological and statistical calculations using Visual Basic. This computational tool was developed for studies related to calculations of sediment transport in rivers. The tool includes hydrosedimentological methods for calculating suspension loads, bed loads, and total solid discharge. In addition, it provides the user with the possibility of performing statistical tests such as the Kolmogorov-Smirnov normality test, F test and χ2 test of variance, Student's t-test, non-parametric Wilcoxon test, and statistical parameter calculations. The NH SEDIMENT AND STATISTIC automatically calculates and provides the main results for each of the methods, allowing the user to draw their own conclusions. This proposed computational tool supports hydrosedimentological studies, and is reliable and easy to use, contributing to the reduction of sediment-related problems in the areas of hydraulic engineering, geology, and soil and water conservation. Furthermore, this tool may be used in transdisciplinary scientific areas for complete planning and management of water resources.

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Different approaches to estimate the sediment yield in a tropical watershed

Cited by 22 publications

References 21 publications

USLE K-Factor Method Selection for a Tropical Catchment

USLE K-Factor Method Selection for a Tropical Catchment

Dynamics of Sediment Transport in the Teles Pires River Basin in the Cerrado-Amazon, Brazil

A computational tool for hydrosedimentological and statistical calculations

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