The effect of wind speed averaging time on the study of soil wind erosion on typical land surfaces

2021 ◽  
pp. 100763
Author(s):  
Yaping Shen ◽  
Chunlai Zhang ◽  
Xinyu Liu ◽  
Hui Zhang ◽  
Yajing Zhang
Keyword(s):  
Wind Speed ◽  
Wind Erosion ◽  
Soil Wind Erosion ◽  
Land Surfaces ◽  
Averaging Time

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

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.

scholarly journals Wind speed in spring dominated the decrease in wind erosion across the Horqin Sandy Land in northern China

2021 ◽  
Vol 127 ◽  
pp. 107599
Author(s):  
Hanbing Zhang ◽  
Jian Peng ◽  
Chaonan Zhao ◽  
Zihan Xu ◽  
Jianquan Dong ◽  
...  
Keyword(s):  
Wind Speed ◽  
Wind Erosion ◽  
Northern China ◽  
Horqin Sandy Land ◽  
Sandy Land

scholarly journals Effect of windbreaks on wind speed reduction and soil protection against wind erosion

2017 ◽  
Vol 12 (No. 2) ◽  
pp. 128-135 ◽  
Author(s):  
D. Řeháček ◽  
T. Khel ◽  
J. Kučera ◽  
J. Vopravil ◽  
M. Petera
Keyword(s):  
Wind Speed ◽  
Wind Erosion ◽  
Statistical Significance ◽  
Polynomial Equation ◽  
Windward Side ◽  
Leeward Side ◽  
Soil Protection ◽  
Speed Reduction ◽  
Optical Porosity ◽  
Cultivated Plant

Windbreaks form efficient soil protection against wind erosion particularly at the time when soil cover is not protected by the cultivated plant vegetation cover. The objective of this research was to evaluate windbreaks efficiency in terms of wind speed reduction. Wind speed along the windbreaks was measured in the cadastral areas of Dobrovíz and Středokluky (Czech Republic, Central Europe). The measurement was carried out by 4 stations placed at windward side (1 station at the distance of 3 times the height of the windbreak) and at leeward side of the windbreak (3 stations at the distance of 3, 6, and 9 times the height of the windbreak). Each station contained 2 anemometers situated 0.5 and 1 m above surface. The character of windbreak was described by terrestrial photogrammetry method as the value of optical porosity from the photo documentation of the windbreak at the time of field measurement. A significant dependence between the value of optical porosity and efficiency of windbreak emerged from the results. The correlation coefficient between optical porosity and wind speed reduction was in the range of 0.842 to 0.936 (statistical significance more than 95%). A significant effect of windbreak on airflow reduction was proven on the leeward side of windbreak in a belt corresponding to approximately six times the height of the windbreaks depending on the optical porosity and it was expressed by a polynomial equation.  

Simulating Efficiency of Resistance to Wind Erosion in Area of Complex Erosion by Wind and Water

2011 ◽  
Vol 183-185 ◽  
pp. 1807-1811 ◽  
Author(s):  
Cheng Long Wang ◽  
Jing Liu ◽  
Xu Sun ◽  
Xin Zhang ◽  
Yong Liang Zhang ◽  
...  
Keyword(s):  
Wind Speed ◽  
Wind Velocity ◽  
Wind Erosion ◽  
Observation Point ◽  
Plant Spacing ◽  
Artemisia Ordosica ◽  
Multiple Sensor ◽  
Better Than

Used the method of transplanting in studying area, simulated different arrangement of plant spacing and observed the wind speed by using HTSW-18 multiple-sensor automatic anemoscope. The results showed that two kinds of plants of different plant spacing can effectively reduce wind speed, the ration of reducing wind velocity of shelterbelts were biggest at the observation point of 1H behind the shelterbelt. The ration of reducing wind velocity and roughness of shelterbelt of Salix psammophila was better than that of Artemisia ordosica Krasch. under the same plant spacing. The increasing of Artemisia ordosica Krasch. was seventeen times higher than that of control at the observation point of 1H. The roughness of Salix psammophila at the observation point of 1H was twenty-five times higher than control, and that of Artemisia ordosica Krasch. was seventeen times higher than control.

scholarly journals Populus simonii Carr. Reduces Wind Erosion and Improves Soil Properties in Northern China

Forests ◽  
2019 ◽  
Vol 10 (4) ◽  
pp. 315 ◽  
Author(s):  
Jieming Zhang ◽  
Guodong Jia ◽  
Ziqiang Liu ◽  
Dandan Wang ◽  
Xinxiao Yu
Keyword(s):  
Sediment Transport ◽  
Wind Speed ◽  
Wind Erosion ◽  
Surface Wind ◽  
Chemical Properties ◽  
Stand Density ◽  
Northern China ◽  
Stand Age ◽  
Sand Transport ◽  
Total N

To assess the ecological effects of poplar stands with different densities and ages, fixed observation sites were established in selected standard forest plots. Daily dynamics of wind speed and sand transport rate were monitored over an erosive period (March to June) in 2017. Soil characteristics were also measured at these plots. Average daily wind speed and average daily wind erosion modulus decreased significantly after the establishment of poplar trees on sandy land, while soil density decreased significantly, soil hardness increased greatly, and soil organic carbon, total N, and available P levels increased significantly. With increasing stand density, average daily wind speed and daily sediment transport firstly decreased and then increased, while the investigated soil nutrients showed the opposite trend. A tree density of 1320–1368 trees·hm−2 significantly reduced surface wind erosion. With the increase in forest age, the average daily wind speed and daily sediment transport declined, while soil physical and chemical properties were gradually improved. At a stand age of 40 years, wind-caused soil erosion significantly reduced. Taking these effects into consideration, the design and management of protective forest systems in arid and semi-arid areas can be greatly improved.

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