Elsevier

Biosystems Engineering

Volume 208, August 2021, Pages 234-245
Biosystems Engineering

Research Paper
Wind tunnel study of the effect of planting Haloxylon ammodendron on aeolian sediment transport

https://doi.org/10.1016/j.biosystemseng.2021.05.018Get rights and content

Highlights

  • Influence of vegetation density and pattern at a regional scale investigated.

  • Geostatistical interpolation used to analyse the spatial variation of sand depth.

  • Density and pattern of artificial shrubs significantly affected sediment transport.

  • Wind erosion still occurred around shrubs regardless of vegetation density and pattern.

  • Optimal planting pattern for reducing aeolian transport different in the 3 densities.

Revegetation is a widely used way to minimise aeolian sediment transport in desertified land. An optimal vegetation density and planting pattern reduces the economic investment for revegetation and competition for limited water resources. This study aimed to ascertain the effects of vegetation density and planting pattern on aeolian sediment transport at the regional scale. A series of wind tunnel tests were implemented with artificial shrubs representing Haloxylon ammodendron. These tests were designed with three planting densities (i.e., 600 plants ha−1, 1200 plants ha−1, and 1650 plants ha−1) and four patterns (uniform distribution, random distribution, two rows/one belt, and one row/one belt pattern). Geostatistical interpolation methods available in ArcGIS were used to analyse the spatial variation of sand heights. Vegetation density and planting pattern and their interaction all significantly affected the aeolian sediment transport but vegetation density had the greatest impact. With increasing density of vegetation, wind erosion rate decreased significantly following quadratic function, and wind erosion still occurred around the artificial shrubs regardless of vegetation density and planting pattern. For wind erosion rate, erosion and deposition area, the uniform distribution pattern had little protective benefit at the three planting densities, whilst the combinations of the random distribution pattern with 600 plants ha−1, two rows/one belt pattern with 1200 plants ha−1, and one row/one belt pattern with 1650 plants ha−1 had the best protective benefit in controlling the aeolian sediment transport.

Introduction

Aeolian desertification is a serious environmental problem in northwest China and is characterised by aeolian sediment transport. It not only brings about land degradation but also results in loss of biodiversity, pollutes the environment, adversely impacts on human health and destroys living facilities, eventually restricting economic and social sustainable development (Reynolds et al., 2007; Schlesinger et al., 1990), which in turn intensifies regional poverty. Therefore, seeking suitable approaches to control aeolian sediment transport is essential.

Sand-fixing vegetation involves drought resistance, wind erosion and sand burial tolerance and is the most effective measure for controlling aeolian sediment transport (Li, Qu, Han, Fang, & Wang, 2013; Sun, 2000; Yang et al., 2006). Vegetation can prevent airflows from acting directly on the ground, reduce wind speed near the surface layer, alter the erosion and deposition rule of wind-sand flow, capture saltating grains and enhance the threshold wind velocity for movement of sand (Cleugh, 1998; Dong, Gao, & Fryrear, 2001; Eldridge & Leys, 2003; Vigiak, Sterk, Warren, & Hagen, 2003; Wolfe & Nickling, 1993). Vegetation can also reduce wind erosion by improving microhabitat and accelerating the process of soil formation (Perroni, Montaña, & García-Oliva, 2006; Ruiz, Zaragoza, & Cerrato, 2008). Thus, knowing the impact of vegetation in counteracting aeolian sediment transport is important for the revegetation of aeolian desertified land.

Plant morphology (plant height, porosity, canopy width, leaf area, etc.), the spatial structures of shelterbelt (forest belt width, section form, plant spacing, etc.), and vegetation density are all key factors controlling wind-blown transport (Banzhaf, Leihner, Buerkert, & Serafini, 1992; Brandle, Hodges, & Zhou, 2004; Chepil & Woodruff, 1963; Hagen & Skidmore, 1971; Wilson, 1987). For shelterbelts constructed with one species of vegetation, planting density is likely the most important design parameter; the higher the vegetation density, the better the protective benefit in controlling aeolian sediment transport, but in arid region vegetation density is mainly limited by water resources. For a given vegetation density, planting pattern should be fully considered because when shelterbelts are constructed planting pattern significantly affects the wind flow distribution and the distance protected (Erktan & Rey, 2013). To summarise, determining the suitable vegetation density and the optimal design of planting pattern is an effective way to help reduce the economic investment required for revegetation and deal with the water shortage.

The effect of vegetation on aeolian sediment transport has been studied both in the field and in wind tunnels. Field measurements of aeolian sediment transport in vegetated areas have been conducted on different scales and this has driven many advances in our understanding of the role of vegetation in controlling wind erosion but it is often difficult to draw general conclusions because the impacts of vegetation on wind erosion cannot be easily isolated and results are often highly site-specific (López, Sabre, Gracia, Arrúe, & Gomes, 1998; Ma, Wang, Qu, & Liu, 2010). Wind tunnel tests can be a suitable alternative to studying the effect of vegetation on aeolian sediment transport by controlling wind speed, topography, soil properties and other factors. Previously, most wind tunnel tests regarding the protective benefit of vegetation focused mainly on the morphological characteristics of the individual plants, patterns of multiple plants such as single row, multi-rows and uniform distribution (Bitog et al., 2012; Burri, Gromke, Lehning, & Graf, 2011; Cheng et al, 2018, 2019; Lee & Lee, 2012; Liu, Zheng, Cheng, & Zou, 2018; Wu, Zou, Zhou, Zhang, & Shi, 2015; Youssef et al., 2012), and the simulation of field conditions at the point scale (Li et al., 2008; Musick, Trujillo, & Truman, 1996). Wind tunnel tests have contributed greatly to improving the understanding of the relationship between vegetation and wind erosion. However, to date they have been insufficient to understand the effects of vegetation on aeolian sediment transport at a regional scale. Therefore, further studies are required to fill the gaps in knowledge between the relationships between vegetation density, pattern and wind erosion rate.

This study aimed to investigate the impacts of vegetation density and planting pattern on aeolian sediment transport at the regional scale by wind tunnel tests. This paper presents (1) the best geostatistical interpolation method regarding the spatial variation of sand heights, (2) the wind erosion rate under different vegetation density and planting pattern conditions, and (3) the size and spatial distribution of erosion and deposition area along the test board.

Section snippets

Study area

Shiyang River Basin is a typical area of water resource deficiency, especially in Liangzhou district, Gulang county and Minqin county. The basin is being subjected to the hazards of Tengger and Badain Jaran deserts. The average annual rainfall in Gulang county, Liangzhou district and Minqin county is about 300 mm, 160 mm and 113 mm respectively and the corresponding average annual evaporations are about 2500 mm, 2020 mm and 2644 mm. According to the International Classification of Soil Texture,

Selection of spatial interpolation methods

The root mean square error (RMSE) was used as a standard measure to select the spatial interpolation method. The lower the RMSE, the more accurate the interpolation method. As shown in Table 2, the best interpolation methods selected were different for the four distribution patterns and three densities. The spline with barriers method was selected for the accurate estimation of the spatial distribution of sand height with PO and PT distributions. But with PU distribution, the spline with

Main and interactive effects of vegetation patterns and density on wind erosion rate

The primary, secondary and interactive effects of vegetation density and patterns on wind erosion rate were investigated by the main and interactive methods (Table 4). The general linear model had the best statistically significant fit (R2 = 0.952), because the P values were all < 0.05, suggesting that the main effects and interaction effects were significantly different; this indicated that vegetation density, planting pattern and their interaction had significant impact on wind erosion rate.

Conclusion

Aeolian desertification seriously affects the human settlement of arid and semi-arid regions worldwide. Vegetation as a roughness element plays an important role in controlling aeolian sediment transport. Downscaled artificial shrubs were made according to the morphological characteristics of H. ammodendron. Under a wind speed of 8 m s−1 for a duration of 90 s, a series of wind tunnel tests were carried out to investigate aeolian sediment transport in different vegetation densities and planting

Declaration of competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgment

This research was funded by the National Key Research and Development Program of China (grant numbers: 2018YFC0507102, SQ2016YFHZ020617); National Natural Science Foundation of China (grant numbers: 32060373, 41761051, 32060246, 32060378); Key Science Foundation of Gansu Province (grant number: 18ZD2FA009), Program of Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology (grant numbers: 2018K06). Authors thank Yuquan Ling, Rongjuan Zhang, Aiqing Ding,

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