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中国沙漠 ›› 2020, Vol. 40 ›› Issue (5): 81-88.DOI: 10.7522/j.issn.1000-694X.2020.00052

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不同时间尺度农田风沙流模拟

黄亚鹏1(), 郭中领1(), 常春平1, 王仁德2, 李继峰1, 李庆2   

  1. 1.河北师范大学 资源与环境科学学院,河北 石家庄 050024
    2.河北省科学院 地理科学研究所,河北 石家庄 050021
  • 收稿日期:2020-04-09 修回日期:2020-05-22 出版日期:2020-09-28 发布日期:2020-09-28
  • 通讯作者: 郭中领
  • 作者简介:郭中领(E-mail: gzldhr@163.com
    黄亚鹏(1996-),男,河北唐山人,硕士研究生,主要从事土壤风蚀研究。E-mail: 1169929221@qq.com
  • 基金资助:
    国家自然科学基金项目(41877066);河北省自然科学基金项目(D2018205192);第三批河北省青年拔尖人才计划项目(13505197)

Modeling aeolian sand flux over farmland for different time scales

Yapeng Huang1(), Zhongling Guo1(), Chunping Chang1, Rende Wang2, Jifeng Li1, Qing Li2   

  1. 1.College of Resource and Environment Sciences,Hebei Normal University,Shijiazhuang 050024,China
    2.Institute of Geographical Sciences,Hebei Academy of Sciences,Shijiazhuang 050021,China
  • Received:2020-04-09 Revised:2020-05-22 Online:2020-09-28 Published:2020-09-28
  • Contact: Zhongling Guo

摘要:

多数输沙通量预报方程有一个或者多个基于特定环境的经验系数,该系数随时间、环境发生变化,能够反映土壤的可蚀性。选取2017年和2018年河北坝上地区康保县两个地点的不同时间尺度的输沙通量实测数据和风速数据进行分析,发现农田环境下输沙通量随摩阻风速的变化呈指数函数关系。与Bagnold方程、Kawamura方程、Zingg方程、Lettau方程4个输沙通量预报方程预测的输沙通量进行比较后发现,4个方程的预测值并不能很好地反映试验地的实测输沙通量。利用实测数据获得针对观测点的经验系数后发现输沙通量预报方程的经验系数随着时间在不断变化,采用合适的时间尺度对计算输沙率有重要意义。

关键词: 风沙流, 时间尺度, 输沙方程, 土壤风蚀

Abstract:

Most aeolian sand transport models have empirical parameters which can account for the erodibility of the soil. In this paper, the transport rates predicted using four models by Bagnold (1937), Kawamura (1951), Zingg et al (1953) and Lettau et al (1978) were compared based on the observed data with different time scales at two typical sites in 2017 and 2018 in Kangbao County, Hebei Province, China. The results revealed that the predicted values of the four models were generally related to the observed transport rates. The relationship between the observed sand transport rates and friction wind velocity followed an exponential function. The new parameters of the four models were determined by calibrating the four models with observed data. It revealed that the empirical parameters of the models changed with time scales. More studies related to the parameters of aeolian sand transport models are required.

Key words: aeolian sand transport, time scale, aeolian sand flux model, wind erosion

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