干旱气象 ›› 2025, Vol. 43 ›› Issue (2): 195-206.

• 论文 • 上一篇    下一篇

戈壁沙尘运动中风速与颗粒数及动能的标度律

王振亭1 ,孟小楠2,3 ,王雪松2 ,李 庆4
  

  1. 1. 干旱区生态安全与可持续发展重点实验室,中国科学院西北生态环境资源研究院,甘肃 兰州 730000;2. 北京师范大学
    地理科学学部,地表过程与资源生态国家重点实验室/防沙治沙教育部工程研究中心,北京 100875;
    3. 北京市第八十中学睿德分校,北京 100176;4. 河北省科学院地理科学研究所/河北省
    地理信息开发应用工程技术研究中心,河北 石家庄 050011
  • 出版日期:2025-04-30 发布日期:2025-05-13
  • 作者简介:王振亭(1975—),男,研究员,主要从事风沙物理与风沙地貌研究。E-mail: ztwang@lzb. ac. cn。

Scaling laws in wind speed, particle number and kinetic energy in Gobi sand movement

WANG Zhenting1, MENG Xiaonan2,3, WANG Xuesong2, LI Qing4
  

  1. 1. Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Northwest Institute of
    Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China;
    2. State Key Laboratory of Earth Surface Processes and Resource Ecology/MOE Engineering Research Center of Desertification and
    Blown-Sand Control,Faculty of Geographical Science,Beijing Normal University, Beijing 100875, China;
    3. Beijing No. 80 Middle School Rui De Branch, Beijing 100176, China;
    4. Institute of Geographical Sciences/Hebei Engineering Research Center for Geographic Information Application,
    Hebei Academy Science, Shijiazhuang 050011, China
  • Online:2025-04-30 Published:2025-05-13

摘要:

中国西北极端干旱区戈壁广布,风大沙多,灾害频发。充分了解戈壁沙尘运动基本规律是灾害预警与科学防治的重要前提。鉴于目前难以精准预测瞬时输沙率,探讨风沙事件中气流与沙尘特征物理量的统计规律,进而开展统计预测,也许是在秒及以下时间尺度上建立风和沙之间定量关系的可行之路。本研究借鉴湍流统计理论的思路和方法,利用 Hilbert-Huang变换分析 4个戈壁沙尘运动野外观测数据集。结果表明,沙尘事件中的风速、跃移沙粒动能与个数、粉尘浓度等时间序列的 Hilbert 边际谱均符合幂次标度律,沙尘特征量和风速的标度指数范围分别为 0.78~1.51 和0.59~1.47。

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Abstract:

In the extreme arid region of Northwest China, the Gobi desert is widely distributed, with strong winds and abundant sand,
leading to frequent disasters. A deep understanding of the basic laws of the aeolian sand-dust movement over Gobi surfaces is an important prerequisite for disaster warning and scientific prevention. Given the current difficulty in accurately predicting the instantaneous aeolian sediment transport rate, exploring the statistical laws of airflow and sand-dust characteristic physical quantities in wind-sand events, and then conducting statistical forecasting, may be a feasible way to establish a quantitative relationship between wind and sand on time scales of seconds or less. This study borrows the ideas and methods from the statistical theory of turbulence, and analyzes four field observation datasets of Gobi sand-dust movement using the Hilbert-Huang transform. The results indicate that the Hilbert marginal spectra of the time series of wind speed, kinetic energy and number of saltation sand particle, and dust concentration in the aeolian events all follow the power scaling law. The scaling exponents of variables, characterizing aeolian sand and dust motions, and wind speed range from 0.78 to 1.51 and 0.59 to 1.47, respectively.

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