Spatial heterogeneity of surface sediment grain size and aeolian activity in the gobi desert region of northwest China

Shen, Yaping; Zhang, Chunlai; Wang, Rende; Wang, Xuesong; Cen, Songbo; Li, Qing

doi:10.1016/j.catena.2020.104469

Cited by 25 publications

(13 citation statements)

References 32 publications

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“…Compared with wind velocity, U * determines the magnitude of the wind shear force on the surface, reflecting the resistance of the surface to the wind. Most of the research on dust emission flux selects friction velocity as the characteristic quantity [22,36]. Therefore, friction velocity is more consistent with the description of the intrinsic mechanism of dust emission.…”

Section: Discussionmentioning

confidence: 93%

“…In addition, dust emission is usually determined by multiple variables. However, previous studies mostly focused on the dynamic process of dust emission from a single factor, such as the relationship between the PM10 concentration and friction velocity or between soil grain size distribution and dust emission rate [2,21,22]. Therefore, the joint influence of wind force and dust content on dust emission and which factor plays the dominant role in this process remain poorly understood.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Dust Emission from Gobi under Different Dust Content Conditions: A Wind Tunnel Study atop the Mogao Grottoes

et al. 2021

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Dust emission from the Gobi desert is one of the major sources of global atmospheric aerosols. However, the main factors affecting dust emission from Gobi remain poorly understood. In this paper, field wind tunnel experiments were performed atop the Mogao Grottoes to determine the variation characteristics of the vertical dust flux (F) of particulate matter less than 10 μm (PM10) for Gobi surfaces with different dust content and wind speeds under external sand supply. The results demonstrate that F obeyed a power function with increasing friction velocity (U*), and increased exponentially with the increasing surface dust content (C). The index of n-value in the formula F∝U*n is taken in the range of 2.02–2.63 under the surface of 27.3–47.3% dust content (<100 µm), and the dust emission rate was significantly enhanced when the surface dust content exceeded approximately 37%. This study indicates that wind force is the primary dynamic condition affecting Gobi dust emission, and that surface dust content is a significant factor in determining the quantity of dust emission. Furthermore, the contribution of wind force to PM10 emission is greater than the surface dust content, and the higher the height, the greater the weight of friction velocity.

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Section: Discussionmentioning

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Dust Emission from Gobi under Different Dust Content Conditions: A Wind Tunnel Study atop the Mogao Grottoes

et al. 2021

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“…The gobi is defined as a region where surfaces are composed of coarse angular or rounded particles, with a typical thickness of one or two stone layers and set on or in deposits of sand, silt or clay 1 , 2 . This is also referred to as “stone pavement”, “desert pavement”, “gibber plain” and “hammada” 3 . The lower reaches of the Heihe River’s alluvial fan in Ejina Qi, western Inner Mongolia, is a typical gobi region in China, with a total area of 3 × 10 4 km 2 , two-thirds of which is covered by gravel, and one-third by sand and silt.…”

Section: Introductionmentioning

confidence: 99%

The impact of large-scale afforestation on ecological environment in the Gobi region

Yao

Xiao

2021

Sci Rep

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In recent year, there has been large-scale afforestation in the gobi region of western Inner Mongolia, China. However, this area has low annual precipitation of 35–55 mm, and a high annual evaporation capacity of 3842 mm. Further, water resources in this region are scarce and cannot support the sustainable growth of shrubs. Thus, without effective irrigation, the shrubs cannot survive and ultimately, large-scale afforestation in the gobi region will destroy “black vegetation”. The surface of this area is covered by dense gravel (65.43–82.08%; average of 77.14%) as a result of long-term erosion caused by strong winds. The sediments underlying the gravel layer are rich in sand (60.34–87.51%) and silt (11.26–35.18%). Once the surface gravel layer is destroyed, the underlying sand and silt expose and increase dust supply, and result in increased intensity and frequency of dust storms. Thus, large-scale afforestation in the gobi region is an ecological disaster for these very dry lands.

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“…The detection of ecological environment is carried out by manual investigation typically [3,4], which has many limitations. For example, it is unlikely to conduct the detection frequently on a large scale because of the high cost of labor, time, and capital [5].…”

Section: Introductionmentioning

confidence: 99%

A Multi-Criteria Evaluation of the Urban Ecological Environment in Shanghai Based on Remote Sensing

Yan

Long

et al. 2021

IJGI

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The urban ecological environment is related to human health and is one of the most concerned issues nowadays. Hence, it is essential to detect and then evaluate the urban ecological environment. However, the conventional manual detection methods have many limitations, such as the high cost of labor, time, and capital. The aim of this paper is to evaluate the urban ecological environment more conveniently and reasonably, thus this paper proposed an ecological environment evaluation method based on remote sensing and a projection pursuit model. Firstly, a series of criteria for the urban ecological environment in Shanghai City are obtained through remote sensing technology. Then, the ecological environment is comprehensively evaluated using the projection pursuit model. Lastly, the ecological environment changes of Shanghai City are analyzed. The results show that the average remote sensing ecological index of Shanghai in 2020 increased obviously compared with that in 2016. In addition, Jinshan District, Songjiang District, and Qingpu District have higher ecological environment quality, while Hongkou District, Jingan District, and Huangpu District have lower ecological environment quality. In addition, the ecological environment of all districts has a significant positive spatial autocorrelation. These findings suggest that the ecological environment of Shanghai has improved overall in the past five years. In addition, Hongkou District, Jingan District, and Huangpu District should put more effort into improving the ecological environment in future, and the improvement of ecological environment should consider the impact of surrounding districts. Moreover, the proposed weight setting method is more reasonable, and the proposed evaluation method is convenient and practical.

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Spatial heterogeneity of surface sediment grain size and aeolian activity in the gobi desert region of northwest China

Cited by 25 publications

References 32 publications

Dust Emission from Gobi under Different Dust Content Conditions: A Wind Tunnel Study atop the Mogao Grottoes

Dust Emission from Gobi under Different Dust Content Conditions: A Wind Tunnel Study atop the Mogao Grottoes

The impact of large-scale afforestation on ecological environment in the Gobi region

A Multi-Criteria Evaluation of the Urban Ecological Environment in Shanghai Based on Remote Sensing

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