摘要
围绕塔克拉玛干沙漠腹地沙尘暴及沙尘暴前后地表沙物质的粒度特征,对塔中地区的沙尘样品开展了粒度参数计算、粒度组分分离和函数模型拟合分析。结果表明:(1)表沙样品的平均粒径为143μm,细沙和极细沙含量占87.02%;沙尘暴过后表沙样品的平均粒径为97μm,极细沙和细沙含量占79.44%。(2)沙尘暴样品的平均粒径为82μm,粉沙和极细沙含量占80.89%。(3)沙尘暴过后表沙样品的平均粒径减小46μm,黏粒、粉沙和极细沙含量增加,表明沙尘暴携带的大量细粒物质对表沙的粒度特征有重要影响。(4)沙尘暴样品粒度随高度的变化主要受控于风速,风速阈值7.7~8.4 m·s^(-1),不同高度平均粒径与平均风速的函数关系,在三维空间中采用二阶多项式曲面模型能够很好地拟合。
Focused on the variation of particle size characteristics of surface sand before and after sandstorms in the Taklamakan Desert hinterland,we conducted a systematic particle size analysis of surface sand,including parameter calculation,particle size component separation and function fitting.The results show that:(1)The average particle size of the surface sand sample is 143μm,dominated by fine and very fine sand,which together accounted for 87.02%;after the sandstorm,dominated by very fine sand and fine sand,which together accounted for 79.44%.(2)The average particle size of the sandstorm sample is 82μm,dominated by powdery sand and very fine sand,which together accounted for 80.89%.(3)After the sandstorm,the average particle size of the surface sand decreased by 46μm,and the content of clay,powder and very fine sand increased,indicating that the large amount of fine-grained material carried by the dust storm had an important influence on the particle size characteristics of the surface sand.(4)The variation of sand particle size with height is mainly controlled by wind speed,with wind speed thresholds ranging from 7.7 m·s^(-1) to 8.4 m·s^(-1).In three-dimensional space,the second-order polynomial surface model can well fit the function relationship between the average sand particle size and the average wind speed.
作者
陈京平
余子莹
杨帆
王蜜
胡涵
倪观忠
高鑫
王鑫
Chen Jingping;Yu Ziying;Yang Fan;Wang Mi;Hu Han;Ni Guanzhong;Gao Xin;Wang Xin(College of Earth and Environmental Sciences,Lanzhou University,Lanzhou 730000,China;National Observationand Research Station of Taklimakan Desert Meteorology of Xinjiang,Institute of Desert Meteorology,China Meteorologi‐cal Administration,Urumqi 830002,China;Xinjiang Institute of Ecology and Geography,Chinese Academy of Scienc‐es,Urumqi 830011,China)
出处
《中国沙漠》
CSCD
北大核心
2023年第2期150-158,共9页
Journal of Desert Research
基金
第三次新疆综合科学考察项目(2021xjkk0302)。
关键词
塔克拉玛干沙漠
沙尘暴
粒度
函数拟合
Taklimakan Desert
sandstorm
particle size
function fitting
