塔克拉玛干沙漠腹地近地面臭氧浓度变化特征及影响因素分析

利用塔克拉玛干沙漠腹地塔中地区2010年6月10日-2012年3月20日地表臭氧浓度连续自动观测数据,结合相应气象要素资料,对地表臭氧质量浓度的日、周、月、季节变化与不同天气条件下日变化特征进行了分析,同时探讨了影响臭氧浓度变化的主要因素。结果表明：①臭氧浓度日变化具有明显的单峰型日变化规律,夜间变化平缓,白天变化剧烈。09:00前后达到最低值,18:00前后达到最高值,出现时间稍迟于其他城市地区。②臭氧浓度变化具有“周末效应”现象。最高值出现在星期日,最低值出现在星期三;星期一至星期三浓度逐渐降低,星期四又逐渐上升。③最高月平均浓度出现在2010年6月,其浓度为89.6 μg·m-3,最低月平均浓度出现在2012年1月,其浓度为32.0 μg·m-3,2010年6-12月,浓度逐月降低。④春、夏季臭氧浓度较高,秋季和冬季明显低于春季和夏季,与大中型城市变化特征基本一致。⑤臭氧浓度日变化最剧烈的是晴天,其次为小雨天气,阴天日变化平缓。沙尘暴出现前,臭氧小时平均浓度变化较小,沙尘暴开始时浓度下降,且下降速度较快。⑥辐射变化也具有单峰型日变化规律,臭氧浓度变化明显晚于辐射变化,太阳辐射的强弱直接影响光化学反应速度,从而导致臭氧浓度的变化。⑦沙尘天气臭氧日平均浓度高于有间隙小雨天气和晴天。相对湿度、风速、风向、日照日数同时影响近地面臭氧浓度的变化,臭氧污染的发生是多种因素共同作用的结果。     

Vertical distribution characteristics of dust aerosol mass concentration in the Taklimakan Desert hinterland

The different height mass concentrations of dust aerosol data from the atmosphere environment observation station （Ta- zhong Station） was continuously observed by instruments of Grimm 1.108, Thermo RP 1400a and TSP from January of 2009 to February of 2010 in the Taklimakan Desert hinterland. Results show that： （1） The mass concentration value of 80 m PMl0 was higher, but PM2.5 and PM1.0 concentrations at 80 m was obviously lower than 4 m PMl0, and the value of 80 m PM1.0 mass concentration was the lowest. （2） The PM mass concentrations gradually decreased from night to sunrise, with the lowest concentration at 08：00, with the mass concentration gradually increased, up to the highest concentration around 18：00, and then decreased again. It was exactly the same with the changes of wind speed. （3） The high monthly average mass concentration of TSP mainly appeared from March to September, and the highest concentration was in April and May, subsequently gradually decreased. Also, March-September was a period with high value area of PM monthly average mass concentration, with the highest monthly average mass concentration of 846.0 p.g/m3 for 4 m PM~0 appeared in May. The concentration of PM10 was much higher than those of PM2.5 and PM1.0 at 80 m. There is a small difference between the concentration of PM2.5 and PM~ 0. Dust weather was the main factor which influenced the concentration content of the different diameter dust aerosol, and the more dust weather days, the higher content of coarse particle, conversely, fine particle was more. （4） The mass concentration of different diameter aerosols had the following sequence during dust weather： clear day 〈 blowing dust 〈 floating and blowing dust 〈 sandstorm. In different dust weather, the value of PM~o/TSP in fine weather was higher than that in floating weather, and much higher than those in blowing dust and sandstorm weather. （5） During the dust weather process, dust aerosol concentration gradually decreased with particle size decreasing. The dust aerosol mass concentration at different heights and diameter would have a peak value area every 3-4 days according to the strengthening process of dust weather.     

塔克拉玛干沙漠腹地起伏地形近地层微气象特征

利用2018年10月8日至2019年1月31日塔克拉玛干沙漠腹地起伏地形上高大沙垄高点和低点的温度、相对湿度、风速和大气压同步观测资料,对比分析沙漠起伏地形上秋冬季的微气象特征。结果表明:塔克拉玛干沙漠腹地高大沙垄造成的地形起伏,使得沙垄高点和沙垄低点气温、比湿和风速日变化差异明显。沙垄高点和沙垄低点气温差异主要体现在夜间,与沙漠腹地夜间存在逆温现象有关,表现出沙垄高点气温明显高于沙垄低点,观测期气温差异平均值为6.6 ℃。沙垄低点气温日较差高于沙垄高点。2018年10、11、12月,气温随高度变化出现逆温现象与沙垄高点气温高于沙垄低点气温在时间上相互对应。两个站点比湿较小,平均比湿分别为0.68 g·kg^-1和0.99 g·kg^-1。比湿日变化趋势随季节发生显著变化,主要与大气稳定度增加、冬季水汽增多及夜间逆湿现象逐渐显著相关。地形位置较高的沙垄高点风速比沙垄低点大,风速差异主要体现在夜间。2018年11月2、14、15、20日和2019年1月30日,沙垄高点风速维持在1.9~4.6 m·s^-1,平均3.2 m·s^-1,沙垄低点风速维持在0.8~4\^5 m·s^-1,平均2.5 m·s^-1。     

Analysis of atmospheric boundary ozone profiles in winter in hinterland of Taklimakan Desert

In order to reveal the variation characteristics of ozone (O₃) concentration in the atmosphere boundary layer over a desert in winter, an observation experiment was carried out in the Tazhong area by means of a tethered balloon during January 18–25, 2008. The vertical distribution of O₃ concentration and its correlation with temperature and humidity were analyzed based on experimental observation data and related data. Results show that: (1) The concentration of O₃ mainly ranges from 10 to 50 μg/L, with a maximum of 56.1 μg/L, minimum of 2.6 μg/L, and a daily average concentration of 34.4 μg/L. (2) O₃ profiles can be divided into three types: peak, uniform, and growth, where uniform accounts for the majority. (3) Temperature and moisture are influential on O₃ concentrations in atmospheric boundary layer. Temperature inversion and water vapor increase in an atmospheric boundary layer leads to a decrease of O₃. (4) O₃ concentration has an obvious daily change in Tazhong. It is lower at night, begins to increase after sunrise, and reaches a maximum at noon. The maximum appears at 17:00 BJT (Beijing Time), and the minimum appears at 08:00 BJT.     

Analysis on the temporal-spatial distribution character and effect factors of PM10 in the hinterland of Taklimakan Desert and surrounding area

In recent years, the physical and chemical properties of dust aerosols from the dust source area in northern China have attracted increased attention. In this paper, Thermo RP 1400a was used for online continuous observation and study of the hinterland of Taklimakan, Tazhong, and surrounding areas of Kumul and Hotan from 2004 to 2006. In combination with weather analysis during a sandstorm in the Tazhong area, basic characteristics and influencing factors of dust aerosol PM₁₀ have been summarized as below: (1) The occurrence days of floating dust and blowing dust appeared with an increasing trend in Kumul, Tazhong and Hotan, while the number of dust storm days did not significantly change. The frequency and intensity of dust weather were major factors affecting the concentration of dust aerosol PM₁₀ in the desert. (2) The mass concentration of PM₁₀ had significant regional distribution characteristics, and the mass concentration at the eastern edge of Taklimakan, Kumul, was the lowest; second was the southern edge of the desert, Hotan; and the highest was in the hinterland of the desert, Tazhong. (3) High values of PM₁₀ mass concentration in Kumul was from March to September each year; high values of PM₁₀ mass concentration in Tazhong and Hotan were distributed from March to August and the average concentration changed from 500 to 1,000 g/m³, respectively. (4) The average seasonal concentration changes of PM₁₀ in Kumul, Tazhong and Hotan were: spring > summer > autumn > winter; the highest average concentration of PM₁₀ in Tazhong, was about 1,000 g/m³ in spring and between 400 and 900 g/m³ in summer, and the average concentration was lower in autumn and winter, basically between 200 and 400 g/m³. (5) PM₁₀ concentration during the sandstorm season was just over two times the concentration of the non-sandstorm season in Kumul, Tazhong and Hotan. The average concentrations of sandstorm season in Tazhong were 6.2 and 3.6 times the average concentrations of non-sandstorm season in 2004 and 2008, respectively. (6) The mass concentration of PM₁₀ had the following sequence during the dust weather: clear day < floating dust < floating and blowing dust < sandstorm. The wind speed directly affects the concentration of PM₁₀ in the atmosphere, the higher the wind speed, the higher the mass concentration. Temperature, relative humidity and barometric pressure are important factors affecting the strength of storms, which could also indirectly affect the concentration change of PM₁₀ in the atmosphere.     

塔克拉玛干沙漠腹地几种植物根系分形特征

在塔克拉玛干沙漠腹地采用全根挖掘法挖掘河西菊(Hexinia polydichowma(Ostenf.)H.L.Yang)、沙拐枣(Calligonuin roborovskii A.Los.)、罗布麻(Apocynum venetum L.)、阿克苏牛皮消(Cynanchum amplexicaule Hemsl)根系.运用分形理论对其分形特征进行研究,分析根系分支状况以及根系分形特征与拓扑特征之间的关系.研究发现:(1)在塔克拉玛干沙漠腹地,四种植物根系具有很好的分形特征,分形维数大小与拓扑参数连接总数、外部连接数之间具有较好的相关关系.(2)根丰度是描述根系在土层中扩展能力的有效指标,与根系长度、平均连接长度之间具有很好的指数关系分别可以用以下方程表示:y1=2.7 694e1.5496x,y2=0.0369e2.0 267x(其中y1、y2分别为总根长、平均连接长度,R2分别为:0.9 353、0.9 832),根丰度直接反映了根系空间占有能力与营养物质的吸收效率.通过对塔克拉玛干沙漠腹地四种植物根系分支状况与分形特征的研究表明.分形理论可以很好的反映根系空间占有能力与资源吸收效率,所以说分形理论是对根系几何、功能特征进行定量化研究的有效方法.     

塔克拉玛干沙漠腹地及周边地区PM10时空变化特征及影响因素分析

利用Thermo RP 1400a对塔克拉玛干沙漠腹地塔中及周边的哈密与和田进行了长达6 a多的沙尘气溶胶PM10连续观测,结合气象资料,分析了该区域沙尘气溶胶PM10的基本特征及影响因素。其结果是:①在哈密、塔中与和田,浮尘、扬沙日数呈上升趋势,沙尘暴日数变化不明显,沙尘天气出现的频率和强度是影响沙漠地区沙尘气溶胶PM10浓度的主要因素。②PM10质量浓度具有明显的区域分布特征,塔克拉玛干沙漠东缘的哈密最低,其次为沙漠南缘的和田,最高的为沙漠腹地的塔中。③每年3—9月是哈密PM10质量浓度的高值时段;塔中与和田PM10质量浓度高值时段分布在3—8月,平均浓度分别在500~1 000 μg·m-3之间变化。④哈密、塔中与和田PM10季节平均浓度变化特征,春季>夏季>秋季>冬季;PM10平均浓度最高的塔中,春季在1 000 μg·m-3左右变化,夏季在400~900 μg·m-3之间,秋冬两季浓度较低基本上在200~400 μg·m-3之间变化。⑤哈密、塔中与和田沙尘暴季节PM10浓度远高于非沙尘暴季节,沙尘暴季节浓度基本上为非沙尘暴季节浓度的两倍以上;塔中2004年和2008年沙尘暴季节平均浓度分别是非沙尘暴季节的6.2倍和3.6倍。⑥沙尘天气过程中PM10质量浓度变化具有以下规律,晴天<浮尘天气<浮尘、扬沙天气<沙尘暴天气。⑦风速大小直接影响大气中PM10浓度,风速越大浓度越高。气温、相对湿度和气压是影响沙尘暴强度的重要因素,也间接影响大气中PM10浓度的变化。     

塔克拉玛干沙漠腹地沙尘气溶胶质量浓度垂直分布特征

 利用Grimm 1.108、Thermo RP 1 400 a以及TSP等仪器于2009年1月至2010年2月对塔克拉玛干沙漠腹地塔中不同高度沙尘气溶胶质量浓度进行连续观测,结合天气资料进行分析。结果表明:①80 m高度PM10质量浓度最高,80 m高度PM2.5和PM1.0质量浓度明显低于4 m高度PM10,80 m高度PM1.0质量浓度最低。频繁的沙尘天气是影响不同粒径的沙尘气溶胶浓度含量的主要因素。②夜间至日出,PM质量浓度逐渐降低,最低基本上出现在08:00,随后质量浓度逐渐增大,18:00前后浓度达到最高值,然后又逐步降低。其规律与风速的昼夜变化完全一致。③TSP月平均质量浓度高值主要集中在3—9月,其中4月和5月浓度最高,随后逐渐减低。3—9月也是PM月平均质量浓度的高值区域,4 m高度PM10月平均质量浓度最高发生在5月,其浓度为846.0 μg·m-3。80 m高度PM10浓度远高于PM2.5和PM1.0浓度,PM2.5和PM1.0浓度相差较小。风沙天气对大气中的不同粒径粒子的浓度含量影响较大,风沙天气越多,粗颗粒含量越高,反之则细颗粒越多。④沙尘天气过程中不同粒径沙尘气溶胶质量浓度变化具有晴天<浮尘天气<扬沙天气<沙尘暴天气的规律。各种沙尘天气中,PM10/TSP表现为晴好天气高于浮尘天气,浮尘天气远高于扬沙和沙尘暴天气。⑤沙尘天气过程中,沙尘气溶胶浓度随着粒径的减小,浓度逐渐降低。不同高度、不同粒径的沙尘气溶胶质量浓度每隔3~4 d形成一个峰值区,与每隔3~4 d出现沙尘天气强度增强过程直接相关。     

塔克拉玛干沙漠腹地两种灌木有效根系密度分布规律的研究

在塔克拉玛干沙漠腹地通过分层分段挖掘法对滴灌条件下多枝柽柳(Tamarix ramosis-sima)和梭梭(Haloxylon ammodendron)幼苗根区有效根长密度和有效根重密度空间分布进行了研究。结果表明:梭梭幼苗平均有效根系密度为多枝柽柳幼苗的3倍左右。在垂直方向上,两种灌木的有效根系密度的变化因树种而异,多枝柽柳幼苗随土层深度的增加呈指数递减,而梭梭幼苗随土层深度的增加呈单峰型曲线。在水平方向上,两种灌木幼苗有效根系密度均随距离植株基径距离的增加呈指数递减。非线性参数拟合分析表明:采用RD=eA BX CZ函数模型能较好地反映滴灌条件下多枝柽柳幼苗的有效根系密度的空间分布。     

塔克拉玛干沙漠不同下垫面太阳总辐射比较

本文运用统计学方法,分析并比较了塔克拉玛干沙漠绿洲-沙漠过渡带（肖塘、哈德）与沙漠腹地（塔中）总辐射的气候学特征。结果表明：沙漠腹地（塔中）总辐射年总量高于绿洲-沙漠过渡带（肖塘、哈德）,塔中、肖塘和哈德年总量分别为6 515.0 MJ·m^-2、5 666.4 MJ·m^-2和5 774.5 MJ·m^-2。春、夏、秋、冬四季变化幅度,塔中高于肖塘和哈德,肖塘与哈德相近;3个观测点均为夏季最大、冬季最小、春季高于秋季。塔中月总量最大值出现时间（6月）早于肖塘和哈德（7月）,最小值均在12月;塔中月总量最大值比肖塘和哈德分别高99.4 MJ·m^-2和81.9 MJ·m^-2。平均日变化表现为早晚小、正午12：00最大。沙尘暴天气下总辐射被明显削弱,日变化波动大。肖塘、哈德和塔中沙尘暴日的峰值分别减少40.3%、56.2%和53.0%;日总量分别减少41.6%、57.8%和61.2%。沙尘暴日的后续天气仍受到沙尘的明显影响,只有当整个沙尘天气过程结束其日变化曲线才恢复。沙尘天气日,小时平均值>500 W·m^-2的总辐射明显被削弱,主要向低值区集中,分布在高值区的概率减少。总辐射与太阳高度角的变化一致,相同太阳高度角下晴天总辐射高于沙尘天。     

塔克拉玛干沙漠地区沙尘暴研究进展

作为中国最大的沙漠和世界第二大流动性沙漠,塔克拉玛干沙漠是中国主要沙尘暴中心和黄土沉积的物源区之一,在中国北方乃至欧亚大陆自然环境和生态格局中具有重要影响,研究塔克拉玛干沙漠地区的沙尘暴具有十分重要的理论与实践意义。本文综述了塔克拉玛干沙漠地区沙尘暴过程及数值模拟预报研究的主要进展,阐明了沙尘暴的成因,进而总结了沙尘暴孕育发展的主要特征,提出了塔克拉玛干沙漠地区沙尘暴研究中亟待解决的科学问题。     

塔克拉玛干沙漠腹地塔中地区大气气溶胶散射系数影响因子

利用2010年塔克拉玛干沙漠腹地塔克拉玛干沙漠大气环境观测试验站单波段(525nm)积分浊度计和PM10自动监测仪、能见度仪器观测资料,结合塔中地面气象观测资料,分析影响塔中气溶胶散射系数的各因子。结果表明:(1)散射系数和PM10质量浓度具有明显的正相关关系,相关程度秋季最大,达0.96;夏季次之,为0.94;冬季最小,为0.91。(2)质量散射系数3月最小,10月最大;四季中,春季最小,为0.60m2·g-1,秋季最大,为1.38m2·g-1。塔中站气溶胶质量散射系数小于河北张北站、甘肃民勤站、兰州西固区,大于内蒙古锡林浩特站、希腊克里特岛、以色列内盖夫沙漠。(3)能见度与散射系数呈显著负幂相关关系,相关系数为0.80,其中夏、秋、冬季的相关系数都超过了年相关系数,分别是0.913、0.908、和0.857,春季最低为0.723。(4)风速较大时,散射系数的值也比较大,两者呈现正相关关系,相关系数为0.45。散射系数小于500 Mm-1时,主要分布于ENE和NE;大于500Mm^-1以上则主要是在ENE、NE、E风向。在ESE风向时,散射系数的平均值最大,其次是SSE方向上,最小值是S风向。     

沙漠腹地人工绿地地表能量交换特征

运用涡度相关法开路系统对塔克拉玛干沙漠腹地人工灌溉绿地生长季地表能量交换特征以及与环境因子的关系进行测定分析。结果表明：在典型晴天条件下,无论是沙漠区还是沙漠腹地灌溉绿地,白天感热通量在净辐射通量的分配中所占的份额最大,潜热交换仅占很小的比例,人工绿地感热通量和潜热通量的峰值为230.54 W/m²和88.5 W/m²,沙漠区为220 W/m²和17.55 W/m²,沙漠腹地人工灌溉造林后潜热交换明显增加。沙漠腹地造林后,绿地波文比日变幅和日均波文比均减小,绿地日均波文比为沙漠区的15%,人工绿地的营建促使了局地气候的改变。绿地地表能量交换受气象因子和下垫面条件的影响和制约,按相关系数的高低,环境因子对感热、潜热通量的影响依次为：Rn>△Ta>△TS>v>TS,沙漠区人工造林后地表能量交换与多个环境因子有着密切的关系。这些研究结果将加深我们对沙漠地区人工灌溉造林地近地层能量交换的认识。     

塔克拉玛干沙漠腹地潜水水位对单井抽水的响应

塔里木沙漠公路防护林生态工程以地下水为灌溉水源,全线采用节水滴灌方式灌溉。全线共有108口水源井,水源井间距约4 km。以第69号水源井(38°41′12″N、83°22′16″E)为例,在距水源井120 m范围内设置了7个地下水监测井,利用潜水水位的动态观测数据,分析了抽水过程中水位的时空变化规律。研究结果表明:持续抽水过程中潜水水位变化可分为快下降和慢速下降两个阶段;潜水水位恢复过程可分为快速上升和慢速上升两个阶段。水位下降和上升的速度变化形成水位的空间差异,即降落漏斗的形成和消失。利用稳定流抽水试验计算得出含水层渗透系数为12.85 m/d。     

塔克拉玛干沙漠腹地春、夏季CO_2通量特征

利用世界上唯一深入流动沙漠腹地200 km以上的塔克拉玛干沙漠塔中站所采集的2011年4月、7月的气象资料,分析了塔克拉玛干沙漠腹地春、夏季CO2通量的变化特征及影响因素。结果表明:塔克拉玛干沙漠腹地CO2通量表现为白昼地表吸收CO2,夜间地表排放CO2,且地表吸收强度明显大于地表排放;塔克拉玛干沙漠腹地春、夏季CO2平均净吸收速率分别为0.93μmol·m2·s-1和0.82μmol·m2·s-1;CO2通量受大气稳定性影响较大,稳定大气条件利于沙漠地表CO2的释放,不稳定大气条件有利于沙漠地表CO2的吸收;此外,地表温度、土壤湿度、风速均与CO2通量呈不同程度的负相关关系。     

塔克拉玛干沙漠腹地塔中地区风沙流输沙特征研究

利用多种积沙仪,通过野外实时输沙观测,对塔克拉玛干沙漠腹地塔中的地表风沙流特征进行了分析,结论如下:(1)100 cm高度范围内,总输沙量的63.1%分布在20 cm高度内,72.4%分布在30 cm高度内,随高度的增加,输沙量呈负指数函数下降;由此可见,该地区的风沙活动主要集中在近地面20～30 cm高度范围内;(2...     

塔克拉玛干沙漠腹地高大复杂纵向沙垄区沙丘分形特征

为了探讨塔克拉玛干沙漠小尺度风沙地貌形态特征,对沙漠腹地复杂纵向沙垄横断面的上覆沙丘的分形特征进行了研究。沙丘形态野外测量采用RTK(real-time kinematic)技术,并通过南方测绘软件(South Survey)量算形态特征参数。研究结果表明:(1)沙丘形态具有分形特征,饼状沙堆和沙片的分维数是1.292 2,新月形沙丘的分维数是1.286 6,简单线性沙丘的分维数是1.102 5,新月形沙丘链的分维数是1.085;(2)在不同地貌部位之间,分维数差异不大(1.0~1.3),变异系数为0.06,表明复杂纵向沙垄上覆沙丘形态有自相似性;(3)沙丘的各形态特征参数变异系数的空间变化趋势一致,且与分形维数呈显著的线性正相关(P<0.05),表明沙丘形态分形维数能客观反映沙丘形态特征。在塔克拉玛干沙漠腹地纵向沙垄区,沙丘形态分形维数可以作为反映风沙环境特征的定量指标。     

塔克拉玛干沙漠腹地冬季大气边界层O3廓线分析

为了揭示塔克拉玛干沙漠腹地冬季大气边界层O3的浓度变化特征,利用系留气艇于2008年1月18—25日在塔中地区进行了大气边界层O3观测试验,结合相关资料,初步分析了塔中地区冬季边界层O3浓度垂直分布特征及其与温度、湿度的关系。其结果是:①塔中地区臭氧浓度集中分布在10~50 ppb之间,其中试验期间观测到O3最大浓度值56.1 ppb,最小浓度为2.6 ppb,臭氧的最大浓度基本都在40 ppb左右,日平均浓度为34.4 ppb。②大气边界层O3的浓度廓线可分为峰值型、均匀型、增长型3种,其中均匀型所占比重最大。③大气边界层O3浓度与温度、湿度密切相关,逆温及空气中水汽的增加会导致臭氧浓度降低。④大气边界层O3有明显的日变化,越贴近地面日变化越明显,其变化特征与太阳辐射有着密切关系。臭氧浓度夜晚较低,日出后开始增加,午后达到一天中的最大值;随着日落,臭氧浓度开始减小,在清晨达到最小值;臭氧浓度日最大值出现在17:00,最小值出现在08:00。     

Geomorphology of sand dunes in the Northeast Taklimakan Desert

Three types of sand dunes exist in the Taklimakan Desert, namely compound/complex crescent dunes and crescent chains, compound dome dunes and compound/complex linear dunes. Besides these three compound/complex types, single simple dunes are also distributed throughout the sand sea. The compound/complex linear dunes are developed under acute bimodal wind regimes. Though the ratios of the resultant drift potential (RDP) and the drift potential (DP) are the same as that near the border and adjacent area of the sand sea, the compound/complex crescent and dome dunes are developed, respectively, because of divergence of the sand available, the stress of the sand-moving winds and the time scales of dune formation. The sand supply for the dunes is not from Lopo Nor in the east as previous studies suggested but mainly from local alluvial or lacustrine deposits. The grain size component does not correlate evidently to the morphology parameters of the sand dunes. Analyses of the DP and drift direction suggest that the northeast Taklimakan is an area of low wind energy and the resultant drift direction (RDD) coincides well with the distribution, morphology and scales of the dunes.     

Dust storms evolution in Taklimakan Desert and its correlation with climatic parameters

Based on the sand dust storms data and climatic data in 12 meteorological stations around sand dust storm originating areas of the Taklimakan Desert, we analyzed the trends of the number of dust storm days from 1960 to 2005 as well as their correlations with temperature, precipitation, wind speed and the number of days with mean wind speed ≥ 5 m/s. The results show that the frequency of dust storm events in the Taklimakan region decreased with the elapse of time. Except Ruoqiang and Minfeng, in the other 10 meteorological stations, the frequency of dust storm events reduces, and in 4 meteorological stations of Kuqa, Korla, Kalpin and Hotan, the frequency of dust storm events distinctly decreases. The temperature has an increasing trend, while the average wind speed and the number of days with mean wind speed ≥ 5 m/s have decreasing trends. The correlation analysis between the number of days of dust storms and climatic parameters demonstrates that wind speed and the number of days with mean wind speed ≥ 5 m/s have strong positive correlation with the number of days of dust storms, with the correlations coefficients being 0.743 and 0.720 (p<0.01), respectively, which indicates that strong wind is the direct factor resulting in sand dust storms. Whereas precipitation has significant negative correlation with the number of days of dust storms (p<0.01), and the prior annual precipitation has also negative correlation, which indicates that the prior precipitation restrains the occurrence of sand dust storms, but this restraining action is weaker than the same year’s precipitation. Temperature has negative correlation with the number of dust storm days, with a correlations coefficient of –0.433 (p<0.01), which means that temperature change also has impacts on the occurrence of dust storm events in the Taklimakan region.