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June Liu

Researcher at Shaanxi Normal University

Publications -  19
Citations -  269

June Liu is an academic researcher from Shaanxi Normal University. The author has contributed to research in topics: Erosion & Stream power. The author has an hindex of 7, co-authored 14 publications receiving 128 citations.

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Modelling sheet erosion on steep slopes in the loess region of China

TL;DR: In this article, the relationship of sheet erosion rate (SE), slope gradient (S ), and rainfall intensity (I ), and hydraulic parameters, such as flow velocity ( V ), shear stress ( τ ), stream power ( Ω ), and unit stream power( P ), was investigated to derive an accurate experimental model.
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Evaluation of shear stress and unit stream power to determine the sediment transport capacity of loess materials on different slopes

TL;DR: In this article, the authors evaluated the relationship between loess soil-based sediment transport capacity and the most well-known and extensively used shear stress and unit stream power for different steep slopes.
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Identifying sediment transport capacity of raindrop-impacted overland flow within transport-limited system of interrill erosion processes on steep loess hillslopes of China

TL;DR: In this paper, the authors used simulated rainfall experiments with rainfall intensities from 0.8 to 2.5mm min−1 over a three-area soil pan with slope gradients from 12.7% to 46.6% to identify the transport-limited cases and determine the sediment transport capacity by raindrop-impacted overland flow within the transport limited systems of interrill erosion processes.
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Response of soil detachment rate by raindrop-affected sediment-laden sheet flow to sediment load and hydraulic parameters within a detachment-limited sheet erosion system on steep slopes on Loess Plateau, China

TL;DR: In this article, the response of soil detachment rate by raindrop-affected sediment-laden sheet flow to sediment load and hydraulic parameters was investigated within a detachment-limited sheet erosion system on steep slopes to understand sheet erosion processes and derive an accurate experimental model.
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Quantifying effects of root systems of planted and natural vegetation on rill detachment and erodibility of a loessial soil

TL;DR: In this article, the root length was evaluated for estimating the effects of roots on rill detachment and erodibility for both planted ryegrass and natural vegetation, with exponential reduction equations and the exponents were more negative for natural vegetation (−0.411) than for planted species (− 0.217) because of the existence of more complex root networks under more diverse natural vegetation.