Different approaches to estimate the sediment yield in a tropical watershed

被引:18
|
作者
Colman, Carina Barbosa [1 ]
Pinheiro Garcia, Karina Mendes [1 ]
Pereira, Rodrigo Bahia [1 ]
Shinma, Enio Arriero [1 ]
Lima, Fernanda Ely [1 ]
Gomes, Ariel Ortiz [1 ]
Sanches Oliveira, Paulo Tarso [1 ]
机构
[1] Univ Fed Mato Grosso do Sul, Campo Grande, MS, Brazil
关键词
RUSLE; Sediment transport; Sediment yield; Soil erosion;
D O I
10.1590/2318-0331.231820170178
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Several Sediment Delivery Ratio (SDR) models have been used to estimate Sediment Yield (SY), mainly in data-scarce and ungauged basins, such as in many regions of Brazil. However, it is difficult to choose the most suitable SDR model, mainly because of the lack of investigations of this approach using observed data. Here, we investigated the performance of five widely used SDR models (SDREST) to estimate sediment yield values (SYEST) based on observed data in a tropical watershed. We used observed sediment yield values (SYOBS) during September 2011 to July 2017 in three sub-basins of the Guariroba Basin, Midwestern Brazil. To estimate the average annual soil loss, we used the Revised Universal Soil Loss Equation. The SDROBS and SYOBS ranged from 5.56 to 10.54% and 940.76 to 5,400.32 t yr(-1), respectively. The Williams and Berndt (1972) method presented the best performance, with a percent bias ranging from -2.34 to 3.30% in SRD estimation. Therefore, this model provided suitable SDR and SY estimates, and may be useful to estimate SY in other tropical data-scarce and ungauged basins.
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页数:9
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