Effects of gravel cover on the near-surface airflow field and soil wind erosion

Maximizing the benefits of windbreaks requires a thorough understanding of the physical interaction between the wind and the barrier. In this experiment, a profiling set of Pitot tubes was used to measure the airflow field and wind velocity of simulated shrubs in a wind tunnel. The effects of form configurations and row spaces of simulated shrubs on wind-proof effectiveness were in-depth studied. We come to the following results: the weakening intensity of hemisphere-shaped and broom-shaped shrubs on wind velocity was mainly reflected below 2 cm in the root and 6-14 cm in the middle-upper, respectively, while the wind-proof effect of the spindle-shaped shrubs at the canopy (0.2-14 cm height) was the best. Besides, the simulated shrubs under 26.25 cm had the best protection effect on the wind velocity. Moreover, the designed windbreaks with Nitraria tangutorum, more effectively reduced the wind velocity among the windbreak compared to behind the windbreak. In the wind control system, the hemisphere-shaped windbreaks should be applied as near-surface barriers, and the windbreaks of broom-shaped and spindle-shaped can be used as a sheltered forest. The results could offer theoretical guidelines on how to arrange the windbreaks for preventing wind erosion in the most convenient and efficient ways.

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Effects of ridge height and spacing on the near-surface airflow field and on wind erosion of a sandy soil: Results of a wind tunnel study

Soil and Tillage Research ◽

10.1016/j.still.2018.10.005 ◽

2019 ◽

Vol 186 ◽

pp. 94-104 ◽

Cited By ~ 4

Author(s):

Wenru Jia ◽

Chunlai Zhang ◽

Xueyong Zou ◽

Hong Cheng ◽

Liqiang Kang ◽

...

Keyword(s):

Wind Tunnel ◽

Sandy Soil ◽

Wind Erosion ◽

Near Surface ◽

Ridge Height ◽

Airflow Field ◽

Wind Tunnel Study

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Soil wind erosion influenced by clay amendment in the inland Pacific Northwest, USA

Authorea ◽

10.22541/au.158398077.71759476 ◽

2020 ◽

Author(s):

huawei Pi ◽

David Huggins ◽

Brenton Sharratt

Keyword(s):

Pacific Northwest ◽

Wind Erosion ◽

Soil Wind Erosion

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Vegetation and soil wind erosion dynamics of sandstorm control programs in the agro-pastoral transitional zone of northern China

Frontiers of Earth Science ◽

10.1007/s11707-018-0715-y ◽

2019 ◽

Vol 13 (2) ◽

pp. 430-443 ◽

Cited By ~ 9

Author(s):

Zhitao Wu ◽

Mingyue Wang ◽

Hong Zhang ◽

Ziqiang Du

Keyword(s):

Wind Erosion ◽

Northern China ◽

Transitional Zone ◽

Control Programs ◽

Soil Wind Erosion

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Quantitative Soil Wind Erosion Potential Mapping for Central Asia Using the Google Earth Engine Platform

Remote Sensing ◽

10.3390/rs12203430 ◽

2020 ◽

Vol 12 (20) ◽

pp. 3430

Author(s):

Wei Wang ◽

Alim Samat ◽

Yongxiao Ge ◽

Long Ma ◽

Abula Tuheti ◽

...

Keyword(s):

Wind Speed ◽

Central Asia ◽

Wind Erosion ◽

Large Scale ◽

Google Earth ◽

Geospatial Data ◽

Aral Sea ◽

Erosion Modeling ◽

Soil Wind Erosion ◽

Google Earth Engine

A lack of long-term soil wind erosion data impedes sustainable land management in developing regions, especially in Central Asia (CA). Compared with large-scale field measurements, wind erosion modeling based on geospatial data is an efficient and effective method for quantitative soil wind erosion mapping. However, conventional local-based wind erosion modeling is time-consuming and labor-intensive, especially when processing large amounts of geospatial data. To address this issue, we developed a Google Earth Engine-based Revised Wind Erosion Equation (RWEQ) model, named GEE-RWEQ, to delineate the Soil Wind Erosion Potential (SWEP). Based on the GEE-RWEQ model, terabytes of Remote Sensing (RS) data, climate assimilation data, and some other geospatial data were applied to produce monthly SWEP with a high spatial resolution (500 m) across CA between 2000 and 2019. The results show that the mean SWEP is in good agreement with the ground observation-based dust storm index (DSI), satellite-based Aerosol Optical Depth (AOD), and Absorbing Aerosol Index (AAI), confirming that GEE-RWEQ is a robust wind erosion prediction model. Wind speed factors primarily determined the wind erosion in CA (r = 0.7, p < 0.001), and the SWEP has significantly increased since 2011 because of the reversal of global terrestrial stilling in recent years. The Aral Sea Dry Lakebed (ASDLB), formed by shrinkage of the Aral Sea, is the most severe wind erosion area in CA (47.29 kg/m2/y). Temporally, the wind erosion dominated by wind speed has the largest spatial extent of wind erosion in Spring (MAM). Meanwhile, affected by the spatial difference of the snowmelt period in CA, the wind erosion hazard center moved from the southwest (Karakum Desert) to the middle of CA (Kyzylkum Desert and Muyunkum Desert) during spring. According to the impacts of land cover change on the spatial dynamic of wind erosion, the SWEP of bareland was the highest, while that of forestland was the lowest.

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