Aerodynamic properties of agricultural and natural surfaces in northwestern Tarim Basin

Li, Xinmeng; Feng, Guang-Da; Sharratt, Brenton; Zheng, Zhimin

doi:10.1016/j.agrformet.2015.01.005

Cited by 15 publications

(7 citation statements)

References 29 publications

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“…Strong northeast winds dominate the prevailing wind regime in the eastern Taklamakan Desert; these winds influence air quality in both the eastern and the southeastern parts of the desert. The western and northern parts of the Taklamakan Desert and Tarim Basin are highly affected by west, northwest and north winds (Sun and Liu, 2006;Zan et al, 2014;Li et al, 2015). Under prevailing winds, dust aerosols are transported from the northern to the southern Taklamakan Desert (e.g., Hotan city) and thereby cause high ambient PM 10 concentration and dust deposition.…”

Section: Factors Influencing Dust Deposition and Pm 10 Concentrationmentioning

confidence: 99%

Dust deposition and ambient PM<sub>10</sub> concentration in northwest China: spatial and temporal variability

et al. 2017

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Abstract. Eolian dust transport and deposition are important geophysical processes which influence global biogeochemical cycles. Currently, reliable deposition data are scarce in central and east Asia. Located at the boundary of central and east Asia, Xinjiang Province of northwestern China has long played a strategic role in cultural and economic trade between Asia and Europe. In this paper, we investigated the spatial distribution and temporal variation in dust deposition and ambient PM 10

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Section: Factors Influencing Dust Deposition and Pm 10 Concentrationmentioning

confidence: 99%

Dust deposition and ambient PM<sub>10</sub> concentration in northwest China: spatial and temporal variability

et al. 2017

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“…where u z is wind speed (m s -1 ) at height z (m), k is von Karman's constant (0.4), and is surface aerodynamic roughness (m). For an observed aerodynamic roughness of about 1 mm during high winds at our experimental site (Li et al, 2015), a threshold velocity of about 4 m s -1 was obtained at a height of 1 m.…”

Section: Weathermentioning

confidence: 70%

Validation of SWEEP for creep, saltation, and suspension in a desert–oasis ecotone

Sharratt

Feng

et al. 2016

Aeolian Research

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Wind erosion in the desert-oasis ecotone can accelerate desertification, but little is known about the susceptibility of the ecotone to wind erosion in the Tarim Basin despite being a major source of windblown dust in China. The objective of this study was to test the performance of the Single-event Wind Erosion Evaluation Program (SWEEP) in simulating soil loss as creep, saltation, and suspension in a desert-oasis ecotone. Creep, saltation, and suspension were measured and simulated in a desert-oasis ecotone of the Tarim Basin during discrete periods of high winds in spring 2012 and 2013. The model appeared to adequately simulate total soil loss (ranged from 23 to 2272 g m-2 across sample periods) according to the high index of agreement (d=0.76). The adequate agreement of the SWEEP in simulating total soil loss was due to the good performance of the model (d=0.71) in simulating creep plus saltation. The SWEEP model, however, inadequately simulated suspension based upon a low d (≤0.43). The slope estimates of the regression between simulated and measured suspension and difference of mean suggested that the SWEEP underestimated suspension. The adequate simulation of creep plus saltation thus provides reasonable estimates of total soil loss using SWEEP in a desert-oasis environment.

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“…In other approaches, the wind profile is directly used to estimate z 0 and d from wind measurements at different heights over a homogeneous surface from within the inertial sublayer. In their work, [52] estimated z 0 and d for cotton, orchards and desert covers from wind measures using the wind profile; [36] obtained z 0 and d from measures of different instruments; [5] calculated z 0 and d from wind measures and wind profile with radar in desert; [73] and [68] used anemometer measures at different heights for cliff coverage; [11] estimated z 0 and d from field measures in peatlands; [83] obtained z 0 and d from friction velocity (u ) measures using the wind profile; [13] used different measure equipment and compared results with other authors in desert; [67] presented a regression of data obtained with radio-wind probes in forest; [45] obtained d from simultaneous scintillation measurements at two heights. Both parameters can be estimated by solving the non-linear wind profile equations: see, e.g., [26] for seas and land, and [18] for forest canopy.…”

Section: Land Cover Databasesmentioning

confidence: 99%

Characterization of Geographical and Meteorological Parameters

Montero

Rodríguez

Oliver

2018

Wind Field and Solar Radiation Characterization and Forecasting

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This chapter is devoted to the introduction of some geographical and meteorological information involved in the numerical modeling of wind fields and solar radiation. Firstly, a brief description of the topographical data given by a Digital Elevation Model and Land Cover databases are provided. In particular, the Information System of Land Cover of Spain (SIOSE) is considered. The study is focused in the roughness length and the displacement height parameters that appear in the logarithmic wind profile, as well as in the albedo related to solar radiation computation. An extended literature review and characterization of both parameters are reported. Next, the concept of atmospheric stability is introduced from the Monin-Obukhov similarity theory to the recent revision of Zilitinkevich of the Neutral and Stable Boundary Layers (SBL). The latter considers the effect of the free-flow static stability and baroclinicity on the turbulent transport of momentum and of the Convective Boundary Layers (CBL), more precisely, the scalars in the boundary layer, as well as the model of turbulent entrainment. 2.1 Geographical data The main geographical information for wind and solar radiation modeling may be classified into two general databases, the topographical data related to the orography of the region to be studied and the land cover databases containing the information of the land uses. In this section, both are introduced.

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Aerodynamic properties of agricultural and natural surfaces in northwestern Tarim Basin

Cited by 15 publications

References 29 publications

Dust deposition and ambient PM<sub>10</sub> concentration in northwest China: spatial and temporal variability

Dust deposition and ambient PM<sub>10</sub> concentration in northwest China: spatial and temporal variability

Validation of SWEEP for creep, saltation, and suspension in a desert–oasis ecotone

Characterization of Geographical and Meteorological Parameters

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Aerodynamic properties of agricultural and natural surfaces in northwestern Tarim Basin

Cited by 15 publications

References 29 publications

Dust deposition and ambient PM&lt;sub&gt;10&lt;/sub&gt; concentration in northwest China: spatial and temporal variability

Dust deposition and ambient PM&lt;sub&gt;10&lt;/sub&gt; concentration in northwest China: spatial and temporal variability

Validation of SWEEP for creep, saltation, and suspension in a desert–oasis ecotone

Characterization of Geographical and Meteorological Parameters

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Dust deposition and ambient PM<sub>10</sub> concentration in northwest China: spatial and temporal variability

Dust deposition and ambient PM<sub>10</sub> concentration in northwest China: spatial and temporal variability