2013Zhongguo shamoRequires access

Wind Tunnel Simulation Test on the Influence Factors of Wind Erosion in Grassland Areas

Zhongju Meng

Open publisher page 0 citations

Abstract

Based on previous studies,selecting desert grasslands in the Ulanqab League of the Inner Mongolia as studied area,we carried out a quantitative analysis on influence of vegetation coverage on wind erosion by simulation test with a field mobile wind tunnel,which aimed at discussing the change of aerodynamic roughness and flow structure features under different vegetation coverage,and the quantitative relationship between vegetation coverage and sediment yield.Results show that aerodynamic roughness increases linearly approximately with the increase of vegetation coverage,and linear functional relationship is Z0=ax3+bx2+cx+d.With the increasing of the height above the ground,sediment yield decreases.With the increase of vegetation coverage,sediment yield at each layer also reduces.Under different wind speeds,the relation between sediment yield of wind erosion and vegetation coverage is related by a power function.The conclusion will provide a theory basis for soil and water loss mechanism research.

About this research paper

What this paper is about

Based on previous studies,selecting desert grasslands in the Ulanqab League of the Inner Mongolia as studied area,we carried out a quantitative analysis on influence of vegetation coverage on wind erosion by simulation test with a field mobile wind tunnel,which aimed at discussing the change of aerodynamic roughness and flow structure features under different vegetation coverage,and the quantitative relationship between vegetation coverage and sediment yield.Results show that aerodynamic roughness increases linearly approximately with the increase of vegetation coverage,and linear functional relationship is Z0=ax3+bx2+cx+d.With the increasing of the height above the ground,sediment yield decreases.With the increase of vegetation coverage,sediment yield at each layer also reduces.Under different wind speeds,the relation between sediment yield of wind erosion and vegetation coverage is related by a power function.The conclusion will provide a theory basis for soil and water loss mechanism research.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Based on previous studies,selecting desert grasslands in the Ulanqab League of the Inner Mongolia as studied area,we carried out a quantitative analysis on influence of vegetation coverage on wind erosion by simulation test with a field mobile wind tunnel,which aimed at discussing the change of aerodynamic roughness and flow structure features under different vegetation coverage,and the quantitative relationship between vegetation coverage and sediment yield.Results show that aerodynamic roughness increases linearly approximately with the increase of vegetation coverage,and linear functional relationship is Z0=ax3+bx2+cx+d.With the increasing of the height above the ground,sediment yield decreases.With the increase of vegetation coverage,sediment yield at each layer also reduces.Under different wind speeds,the relation between sediment yield of wind erosion and vegetation coverage is related by a power function.The conclusion will provide a theory basis for soil and water loss mechanism research.

Key concepts: Vegetation (pathology), Environmental science, Aeolian processes, Wind tunnel, Hydrology (agriculture), Erosion, Grassland, Sediment

Related papers

Back to paper searchBrowse research topicsOriginal source
Wind Tunnel Simulation Test on the Influence Factors of Wind Erosion in Grassland Areas — Research Paper | ScholarLens