Computational Model of Aeolian Sand Erosion and Deposition Quantity on Flat Sandy Surface

AN Zhi-shan; ZHANG Ke-cun; QU Jian-jun; TAN Li-hai; ZHANG Hao

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Computational Model of Aeolian Sand Erosion and Deposition Quantity on Flat Sandy Surface

- Computational Model of Aeolian Sand Erosion and Deposition Quantity on Flat Sandy Surface
- Bulletin of Soiland Water Conservation Vol. 32, Issue 5, Pages: 210-214(2013)
- 作者机构：
  
  中国科学院寒区旱区环境与工程研究所沙漠与沙漠化重点实验室敦煌戈壁荒漠生态与环境研究站甘肃省风沙灾害防治工程技术研究中心,甘肃,兰州,730000
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- Published：2013
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AN Zhi-shan, ZHANG Ke-cun, QU Jian-jun, et al. Computational Model of Aeolian Sand Erosion and Deposition Quantity on Flat Sandy Surface[J]. Bulletin of Soiland Water Conservation, 2013, 32(5): 210-214.
DOI：

AN Zhi-shan, ZHANG Ke-cun, QU Jian-jun, et al. Computational Model of Aeolian Sand Erosion and Deposition Quantity on Flat Sandy Surface[J]. Bulletin of Soiland Water Conservation, 2013, 32(5): 210-214. DOI：

摘要

通过对平坦沙质地表蚀积动态的野外观测，结合同时期区域风况资料，分析了平坦沙质地表蚀积过程。在输沙势和最大可能输沙量计算公式基础上，调整参数提出了平坦沙质地表蚀积量的计算模型，弥补了两者不能直观准确表示区域风沙活动的缺点。通过对比野外实测值与输沙势、模型预测值和最大可能输沙量之间的变化趋势得出它们存在同期波动特征。进一步比较回归方程可知，模型预测值回归方程更加显著，预测值更加接近实测值，能够更好地表示区域风沙活动特征和强度，可为沙漠的扩张和收缩提供量化预测依据。

Abstract

The dynamic processes of aeolian erosion and deposition on flat sandy surface were analyzed based on field observation and the data of regional wind regime.By calculating the drift potential and the maximum possible quantity of sand transport

a computational model was put forward for predicting the quantity of aeolian erosion and deposition on flat sandy surface

which can make up for the deficiency that both the drift potential and the maximum possible quantity of sand transport can not reveal intuitively the strength of regional wind-blown sand activity.Comparison of tendency maps showed that field measured value

predicted value by the computational model and calculated drift potential and maximum possible quantity had the same fluctuation character.Furthermore

comparison of regression equations showed that the regression equation for prediction was significant and predicted value was more close to field measured value.The computational model can better predict the strength of regional wind-blown sand activity and provides evidence for the expansion and shrink of sandy desert.

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