Estimating sediment delivery ratio by stream slope and relief ratio

Nguyen, Kieu Anh; Chen, Walter

doi:10.1051/matecconf/201819202040

Cited by 5 publications

(2 citation statements)

References 3 publications

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“…The SDR is controlled by many factors, such as land use, catchment area, relieflength ratio, soil texture, transport process and gradient gradient of the main channel. Many studies have examined the relationship between SDR and the above factors (Kieu Anh Nguyen and Walter Chen, 2018).…”

Section: Introductionmentioning

confidence: 99%

Sediment Delivery Ratio from a small Semiarid Watershed of Brazil

Piscoya

Melo

Filho

et al. 2021

Rev. Bras. Geog. Fis.

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Assessing technologies based on sediment yield in watersheds is increasingly important to determine the delivery rate. This work aimed to determine values of sediment delivery of the hydrographic basin of the river Jacu in the semiarid of Pernambuco and its relations with the soil and vegetation. Therefore, it was calculated the rates of interrill and rill erosion by yield testing under shrub and uncovered Inceptisols conditions, and it was carried out direct measurement campaigns of suspended sediment and bedload, by means of US DH -48 e US BLH -84, respectively. The sediment yield obtained in Jacu stream was considered low. The soil loss due to interril erosion under uncovered conditions equal to 8.43 t ha -1 was considered high, as well as the same way for the values of rill erosion with erodibility equal to 0.0021142 kg N -1 s -1 and critical shear stress equal to 2.34 Pa. The mean value of sediment delivery ratio of Jacu watershed was equal to 0.165 and ranged from 0.29 in the year 2008 to 0.026 in 2010. This variation is associated with the natural variability of semiarid environment, indicating the necessity of assessment in a large period of years to improve the knowledge about the sediment delivery ratio of Jacu semiarid watershed.

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Section: Introductionmentioning

confidence: 99%

Sediment Delivery Ratio from a small Semiarid Watershed of Brazil

Piscoya

Melo

Filho

et al. 2021

Rev. Bras. Geog. Fis.

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“…Soil loss in the watershed of the Shihmen Reservoir, Taiwan, was over 9700 t/km 2 /year [5,6]. Nguyen and Chen [7] showed that the Shihmen is to predict long-term soil erosion and predict sediment yield in the reservoir, due to climate change, to improve the declining capacity of the reservoir and water planning and management. A Global Climate Model (GCM), Institute Pierre Simon Laplace-Climate Model version 5A (IPSL-CM5A-MR) from Coupled Model Intercomparison Project-5 (CMIP5) and three scenarios, i.e., RCP 2.6, RCP 4.5, and RCP 8.5, in the LPP watershed, were used to predict future rainfall data via Sananmuang's method [21], from the correlation between rainfall and water surface in the central part of Thailand [22,23].…”

Section: Introductionmentioning

confidence: 99%

Impact of Climate Change on Soil Erosion in the Lam Phra Phloeng Watershed

Sirikaew

Seeboonruang

Tanachaichoksirikun

et al. 2020

Water

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Soil erosion plays a vital role in reducing reservoir capacity. The Lam Phra Phloeng (LPP) dams were built for flood protection and irrigation. However, they have experienced reservoir sedimentation, and the capacity of the reservoir has decreased. The surrounding soil surface was easily eroded and transported by heavy rainfall and surface runoff to streams and eventually into the reservoir. Understanding this soil erosion and sedimentation is necessary for preventing further decline of reservoir capacity and water management. This research aims to estimate long-term average annual soil erosion and predict sediment yield in the reservoir due to climate change. The methodology is determined soil loss parameters and sediment yield using the Universal Soil Loss Equation (USLE) with the Sediment Delivery Ratio (SDR). The USLE and SDR methods differed from field data, with an average absolute error of 4.0%. The Global Climatic Model, Institute Pierre Simon Laplace-Climate Model version 5A (IPSL-CM5A-MR), with Representative Concentration Pathways (RCP) 2.6, 4.5, and 8.5, was downscaled and analyzed to forecast future rainfall in the watershed. The high intensity of rainfall contributed to higher soil erosion, in RCP 8.5. Interestingly, the high and very high-risk areas increased, but the moderate risk area declined, indicating that the moderate risk area should be a priority in land management. However, the heavy rainfall and high slope gradient led to a slight increase in the soil erosion in some areas because the land covers were evergreen and deciduous forest. The prediction of sediment yield was positively correlated with the intensity of rainfall in the central part of the watershed, because the rainfall and runoff led the sediment to the river and streams, indicating that the land cover should be managed to prevent capacity decline.

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