63 resultados para Aeolian Sand Transport

em Chinese Academy of Sciences Institutional Repositories Grid Portal


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Sand velocity in aeolian sand transport was measured using the laser Doppler technique of PDPA (Phase Doppler Particle Analyzer) in a wind tunnel. The sand velocity profile, probability distribution of particle velocity, particle velocity fluctuation and particle turbulence were analyzed in detail. The experimental results verified that the sand horizontal velocity profile can be expressed by a logarithmic function above 0.01 in, while a deviation occurs below 0.01 m. The mean vertical velocity of grains generally ranges from -0.2 m/s to 0.2 m/s, and is downward at the lower height, upward at the higher height. The probability distributions of the horizontal velocity of ascending and descending particles have a typical peak and are right-skewed at a height of 4 turn in the lower part of saltation layer. The vertical profile of the horizontal RMS velocity fluctuation of particles shows a single peak. The horizontal RMS velocity fluctuation of sand particles is generally larger than the vertical RMS velocity fluctuation. The RMS velocity fluctuations of grains in both horizontal and vertical directions increase with wind velocity. The particle turbulence intensity decreases with height. The present investigation is helpful in understanding the sand movement mechanism in windblown sand transport and also provides a reference for the study of blowing sand velocity. (C) 2007 Elsevier B.V All rights reserved.

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Particle velocity distribution in a blowing sand cloud is a reflection of saltation movement of many particles. Numerical analysis is performed for particle velocity distribution with a discrete particle model. The probability distributions of resultant particle velocity in the impact-entrainment process, particle horizontal and vertical velocities at different heights and the vertical velocity of ascending particles are analyzed. The probability distributions of resultant impact and lift-off velocities of saltating particles can be expressed by a log-normal function, and that of impact angle comply with an exponential function. The probability distribution of particle horizontal and vertical velocities at different heights shows a typical single-peak pattern. In the lower part of saltation layer, the particle horizontal velocity distribution is positively skewed. Further analysis shows that the probability density function of the vertical velocity of ascending particles is similar to the right-hand part of a normal distribution function, and a general equation is acquired for the probability density function of non-dimensional vertical velocity of ascending particles which is independent of diameter of saltating particles, wind strength and height. These distributions in the present numerical analysis are consistent with reported experimental results. The present investigation is important for understanding the saltation state in wind-blown sand movement. (C) 2009 Elsevier B.V. All rights reserved.

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The probability distribution of lift-off velocity of the saltating grains is a bridge to linking microscopic and macroscopic research of aeolian sand transport. The lift-off parameters of saltating grains (i.e., the horizontal and vertical lift-off velocities, resultant lift-off velocity, and lift-off angle) in a wind tunnel are measured by using a Phase Doppler Particle Analyzer (PDPA). The experimental results show that the probability distribution of horizontal lift-off velocity of saltating particles on a bed surface is a normal function, and that of vertical lift-off velocity is an exponential function. The probability distribution of resultant lift-off velocity of saltating grains can be expressed as a log-normal function, and that of lift-off angle complies with an exponential function. A numerical model for the vertical distribution of aeolian mass flux based on the probability distribution of lift-off velocity is established. The simulation gives a sand mass flux distribution which is consistent with the field data of Namikas (Namikas, S.L., 2003. Field measurement and numerical modelling of acolian mass flux distributions on a sandy beach, Sedimentology 50, 303-326). Therefore, these findings are helpful to further understand the probability characteristics of lift-off grains in aeolian sand transport. (c) 2007 Elsevier B.V. All rights reserved.

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A three-dimensional CFD-DEM model is proposed to investigate the aeolian sand movement. The results show that the mean particle horizontal velocity can be expressed by a power function of heights. The probability distribution of the impact and lift-off velocities of particles can be described by a log-normal function, and that of the impact and lift-off angles can be expressed by an exponential function. The probability distribution of particle horizontal velocity at different heights can be described as a lognormal function, while the probability distribution of longitudinal and vertical velocity can be described as a normal function. The comparison with previous two-dimensional calculations shows that the variations of mean particle horizontal velocity along the heights in two-dimensional and three-dimensional models are similar. However, the mean particle density of the two-dimensional model is larger than that in reality, which will result in the overestimation of sand transportation rate in the two-dimensional calculation. The study also shows that the predicted probability distributions of particle velocities are in good agreement with the experimental results.

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Bagnold-type bed-load equations are widely used for the determination of sediment transport rate in marine environments. The accuracy of these equations depends upon the definition of the coefficient k(1) in the equations, which is a function of particle size. Hardisty (1983) has attempted to establish the relationship between k(1) and particle size, but there is an error in his analytical result. Our reanalysis of the original flume data results in new formulae for the coefficient. Furthermore, we found that the k(1) values should be derived using u(1) and u(1cr) data; the use of the vertical mean velocity in flumes to replace u(1) will lead to considerably higher k(1) values and overestimation of sediment transport rates.

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毛乌素沙地是我国十二大沙漠之一,地处北方干旱半干旱区向亚湿润区过渡地带,长期以来,不合理的人类土地利用,结合当地脆弱的环境生态特征,引起了严重的现代荒漠化过程,是我国北方荒漠化研究的重点地区。本文着重从自然和人文学科密切合作的角度,对毛乌素沙地土地利用/土地覆被变化的内在作用机制进行了研究,得到以下主要结论: 1. 利用多年实地观测数据资料,考察了毛乌素沙地四种主要草地类型代表性植物群落地上生物量响应气候因子波动的变化规律,建立了植物地上生物量对气候因子的逐月回归模型,揭示出如下规律:①各种气候因子对不同类型草地以及同一类型不同生长阶段草地都产生不同的影响作用;②同一气候因子在植物不同生长阶段上,对生物量形成的重要性程度存在差异:③在植物生长期内,每个生长阶段的生物量都对后一时期的生物量产生显著影响,说明植物生长的连续性对于生物量的形成和积累是重要的;④在植物的凋枯期,各种气候因子基本上都不对生物量产生显著影响;⑤水分因子对毛乌素沙地几乎各种类型草地的生物量,都是重要的影响因子,毛乌素沙地降水状况在不同年份的显著波动对草地植物地上生物量的影响,不仅直接构成了土地覆被变化的重要组成部分,而且还影响到土地利用的方式、方法和后果。 2. 在考察毛乌素沙地草地地上生物量对气候因子变化的响应规律中,利用逐月动态回归建模方法改进了传统的累积气候因子回归建模方法。逐月回归模型与累积回归模型的比较显示,逐月动态回归模型的优势表现在三个方面:①可以提供累积回归模型无法揭示的作用规律;②模拟更加精确;③可以预测不同气候条件下群落地上生物量的变化范围。 3. 利用风速、降水和潜在蒸发等气象记录资料,建立了毛乌素沙地气候因子影响沙尘暴频率的作用模型,定量地考察了沙地各处气候因子对沙尘暴频率的影响作用。研究表明,气候因素是导致毛乌素沙地沙尘暴发生的主导原因,在沙地各处,气候因子可以解释沙尘暴频率分布格局总信息的比率分别为:乌审召83.6%,乌审旗77.5%,河南82.4%,鄂托克旗79.8%,新街73.1%,伊金霍洛旗82%。 4. 在定量考察气候因素对沙尘暴频率影响作用的基础上,对影响沙尘暴频率格局的自然和人为因素进行了定量分离,研究表明:人为影响因素对对沙尘暴发生起次要作用,解释沙尘暴频率分布格局信息的比率分别为:乌审召16.4%,乌审旗22.5%,河南17.6%,鄂托克旗20.2%,新街26.9%,伊金霍洛旗18%。 自然和人为因素影响作用的定量分离研究表明,毛乌素沙地人为因素的影响作用表现出空间上的差异性:①从方位上说,呈现自东向中、西部递减的梯度:②从地点上说,城镇附近人为影响作用远高于农村地区;③从土地利用方式上说,农垦种植业区域高于畜牧业区域。 5. 在实地观测基础上,建立了裸露沙面和植被覆盖沙面风蚀输沙率模型,定量考察了植被覆盖率与风蚀输沙率之间的关系。研究表明:当植被覆盖率达到60%以上,可以保护地表土壤使风蚀在大多数条件下不致发生;当覆盖率达到40%,可以使风蚀输沙大为减少;而当植被覆盖率低于10%,植被覆盖基本不能对地表土壤起到有效的防护作用。 6. 应用植被覆盖地表风蚀输沙率模型,考察了沙地不同风速条件下植被有效覆盖率。根据当地气象台站的多年气象记录,沙地最大风速在20m/s左右,这样的风速条件下,保证风蚀不致发生的植被有效覆盖率为65%左右;在沙地常见的大风风速14-16m/s下,植被有效覆盖率大致为50-55%;对于沙地一般的中等风速l0-12m/s.植被有效覆盖率为40%。植被覆盖对风蚀的影响作用也可以理解为,植被覆盖使沙粒起动风速发生了增大效应,研究表明:与裸露沙面沙粒起动风速4.5m/s对照,70%植被覆盖率使起动风速改变为15.4m/s;60%植被覆盖率使起动风速改变为12.1m/s;40%植被覆盖率使起动风速改变为8.Om/s;而在10%植被覆盖条件下,起动风速为5.Om/s,改变量很小,说明植被覆盖的保护作用极其有限。 7. 基于野外实地观测,比较了沙地五种常见植物种和二种人工防护材料防风效应上的差异。研究表明,防风效应由高到低的次序是,沙蒿>芨芨草>杨柴和牛心朴子>沙障>栅栏>旱柳;就乔、灌、草和人工材料而言,防风效应的次序是,灌木植被>草本植被>人工材料>乔木植被。植物和人工防护材料降低风速的比率与风速呈现二次函数关系,不同植物种或人工材料,降低风速比率都表现出不同的规律,在一般情况下,降低风速效应随着风速的增大而降低。 8. 通过不同植物种防风效应的比较研究,对毛乌素沙地植被生态建设的实践有一定的指导意义。毛乌素沙地的植被建设中对植被类型和植物种类的选择,应该遵循如下原则:①选取防风固沙效应好的植物种类;②应该考虑植物水分供给与需求的平衡状况,实行适地适树;③植物防护效应应该与当地风蚀气候在时间上较好地匹配,在春季等风蚀严重季节,植被覆盖应该具有较好的防风效应。 9. 在现实中,各种影响风蚀的因素是同时发挥作用的。将风蚀影响因素分解为风速、湿润度和植被覆盖率(以及植被类型)三个方面,在此基础上,建立了风蚀影响因素的综合作用的概念模型和沙丘活动性指数定量模型。湿润程度低、风速高、植被覆盖率低的地区,是风蚀最为严重的地区;在湿润程度高、风速低、植被覆盖率高的地区,是风蚀最弱的地区;在其他地区,风蚀状况根据三个方面因素的综合状况来决定。 10. 利用风蚀影响因子综合作用的沙丘活动性指数模型,从空间、时间、植被类型变化角度,考察了毛乌素沙地的风蚀变化状况。得到如下结论:①随着空间变化,风速、降水等气候因素也随之存在差异,导致沙丘活动性指数的变化规律是,西北部鄂托克旗沙丘活动性最高,乌审旗次之,其他几个站差别不太显著,这是由各地降水、气温、沙粒粒径等因素共同决定;②随着时间的变化,气候、植被生长等方面的状况随之发生改变,导致沙丘活动性发生变化,春季最高,冬季次之,夏秋季最低:③随着沙丘植被覆盖类型的变化,沙丘活动性也发生显著变化,在一般情况下,乔木覆盖沙丘活动性>草本植物覆盖沙丘>灌木覆盖沙丘。 11. 在实地调查土地利用现实状况及其社会、经济和政策影响因素的基础上,建立了我国北方干旱半干旱区土地利用决策机制的概念模型,分析了与土地利用密切相关的农牧民一政府一环境科学家这三个社会群体对土地利用的立场和影响作用力上的差异,分析了毛乌素沙地土地利用的现状及其影响因素,探讨了现实中不可持续土地利用行为发生的社会、经济和政策原因。 12. 在实地调查基础上,分别利用产出一费用分析法和过程影响因素分析法,建立了毛乌素沙地土地利用经济收益的定量模型。产出一分析研究表明,无论是农垦种植业,还是草地畜牧业,农牧民从这两种土地利用方式都只能获得较低下的经济收益。造成这种状况的原因,主要在于两个方面:一是低下且不断处于波动之中的农牧业产品物价,二是沉重的农牧业税收。 13. 将影响农牧业产出的因素,划分为四个方面:土地面积(牲畜头数)、环境状况、管理水平和利用强度,在此基础上建立了定量的影响作用模型。研究表明:环境状况指数每增加0.1,农牧业经济收益增加26%;管理水平因子每提高0.1,农牧业经济收益增加12.7%;农牧业经济收益最优的土地利用强度在0.4左右,在此之前,随着利用强度的增加,经济收益随之增大,而在此之后,随着利用强度的增大,经济收益逐渐降低,当土地利用强度达到0.9左右时,呈现负的经济收益。 14. 毛乌素沙地实施土地资源可持续利用,必须从技术的革新和社会经济政策等因素的调整两条途径同时入手,二者缺一不可。通过改进和应用节水灌溉、风能光能利用、生物增产技术,尽可能地提高各种资源的利用效率;通过应用免耕或浅耕技术,尽量减轻土地利用对资源和环境的破坏;通过栽培、速生技术,提高植被建设的成效和速度。而通过税收、物价政策的调整,尽可能地提高农牧民经济收益增长的速度,减轻土地利用压力;通过政府与人民之间对话和合作机制的建立,让广大农牧民参与到土地利用的决策和管理的过程中去;通过土地利用管理政策、措施的调整和完善,调动农牧民保护资源的积极性和自觉性;通过激励机制的建立,引导农牧民土地利用向着可持续的方向发展。 15. 实现毛乌素沙地土地资源可持续利用的有效途径,在于这样几个方面:①建立和完善政府及其管理部门与人民之间有效的对话和合作机制,让广大农牧民参与到土地利用决策和管理的过程中去:②实行产业结构调整,转变片面追求经济增长的做法,制订适应当地自然条件和生态特征的发展模式;③降低农牧业税收、稳定并提高农牧业产品的物价,增加农牧民经济收入,减轻土地利用压力;④进一步改进和完善土地利用管理政策和法规;⑤建立有效激励机制,引导农牧民土地利用向着可持续的方向发展:⑥努力改进节水灌溉技术、生物增产技术,提高土地利用的科技水平:⑦改进环境保护和植被建设决策的科学性,提高植被建设的成效。

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Based on the study of palaeo-environmental evolution in the shelves of the Eastern China Seas, the concept of ''shelf desertization'' in the late stage of Upper Pleistocene is defined; the environmental background and evolutionary process of shelf desertization are analysed. Study on the records of subbottom profiling and the data of core samples from shelf areas revealed that during low sea-level stages, the sedimentary environment in the exposed shelf plains was dominated by aeolian depositional process under cold and dry climatic conditions, i.e. under the action of strong winter-monsoon winds. Parts of the exposed marine strata were disintegrated, and aeolian sand dunes were formed on the disintegrated marine deposits, from which the finer sediment grains were blown away by wind and deposited in the downwind areas to form the derivative loess deposits. Thus a desertization environmental system was formed in the exposed shelf plains of the Eastern China Seas.

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The latest two extreme scenarios of last glacial maximum and Holocene climatic optimum marked extreme situations in China. This paper aims to reconstruct the fossil extensions and paleoclimate of deserts in eastern China during this typical period. Aeolian sequence responds the climate change by virtue of alternation of aeolian sand layer and sandy soil layer, which correspond aridity and humidity, respectively. There is a set of contrastive deposits made up of loose sand layer and overlying dark sandy soil below land surface. This developed soil and underlying deep aeolian sand respond to H.O. and late last glacial, i.e. LGM. The typical bottom sand layers of about 50 profiles of Hulun Buir Desert, Horqin Desert and Otindag Desert were dated using OSL to confirm that they did deposid in LGM. Based on the locations of these LGM sand, distrution of gobi-desert-loess and landform control, the distribution in LGM of the three deserts were reconstructed. For the block of eastern mountain, the extreme eastern boundary of Hulun Buir Desert and Otindag Desert are not just functioned by climate background. The east of Horqin Desert is plain, hence eastern boundary of this desert is maily controlled by climate. It is considered that quite a lot of aeolian sand of LGM origined from fluvial deposit by observing regional distribution of river and SEM of sand grains. The environment alternation of of LGM-H.O. is featured by extensive expanse of active dune in LGM and grassland in H.O. Combined grain-size, susceptibility, TOC, colour and SEM measurement, the OSL chronology of relatively continued profiles since LGM of the three deserts are divided into four periods: eolian sand (15-10ka)- sandy soil (10-5ka)- alternation of black sand and yellow sand- reworking of LGM sand as destroy of soil.

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Extended horizontal cracks have! been observed experimentally in a vertical column of saturated sand when a flow of water is forced to percolate upward through it. This paper provides a theory for this phenomenon. It will be shown that the presence of inhomogeneity in permeability along the length of the column is essential for such cracks to develop. It will also be shown that small initial inhomogeneity may be magnified through the transport of the finer component of the sand by percolation. Under certain conditions liquefaction takes place at a section of the sand column causing a crack to initiate and grow there. This theory is found to be in good qualitative agreement with the experimental findings.

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With the PDPA (Phase Doppler Particle Analyzer) measurement technology, the probability distributions of particle impact and lift-off velocities on bed surface and the particle velocity distributions at different heights are detected in a wind tunnel. The results show that the probability distribution of impact and lift-off velocities of sand grains can be expressed by a log-normal function, and that of impact and lift-off angles complies with an exponential function. The mean impact angle is between 28 degrees and 39 degrees, and the mean lift-off angle ranges from 30 degrees to 44 degrees. The mean lift-off velocity is 0.81-0.9 times the mean impact velocity. The proportion of backward-impacting particles is 0.05-0.11, and that of backward-entrained particles ranges from 0.04 to 0.13. The probability distribution of particle horizontal velocity at 4 mm height is positive skew, the horizontal velocity of particles at 20 mm height varies widely, and the variation of the particle horizontal velocity at 80 mm height is less than that at 20 mm height. The probability distribution of particle vertical velocity at different heights can be described as a normal function.

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Sand storm is a serious environmental threat to humans. Sand particles are transported by saltation and suspension, causing soil erosion in one place and deposition in another. In order to prevent and predict sand storms, the causes and the manners of particle motions must be studied in detail. In this paper a standard k-epsilon model is used for the gas phase simulation and the discrete element method (DEM) is used to predict the movements of particles using an in-house procedure. The data are summarized in an Eulerian-Eulerian regime after simulation to get the statistical particle Reynolds stress and particle collision stress. The results show that for the current case the Reynolds stress and the air shear stress predominate in the region 20-250 mm above the initial sand bed surface. However, in the region below 3 mm, the collision stress must be taken into account in predicting particle movement. (C) 2010 Chinese Society of Particuology and Institute of Process Engineering, Chinese Academy of Sciences. Published by Elsevier B.V. All rights reserved.

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In order to investigate the characteristics of water wave induced liquefaction in highly saturated sand in vertical direction, a one-dimensional model of highly saturated sand to water pressure oscillation is presented based oil the two-phase continuous media theory. The development of the effective stresses and the liquefaction thickness are analyzed. It is shown that water pressure oscillating loading affects liquefaction severely and the developing rate of liquefaction increases with the decreasing of the sand strength or the increasing of the loading strength. It is shown also that there is obvious phase lag in the sand Column. If the sand permeability is non-uniform, the pore pressure and the strain rise sharply at which the smallest permeability occurs. This solution may explain Why the fracture occurs in the sand column in some conditions.