img

官方微信

高级检索

中国沙漠 ›› 2009, Vol. 29 ›› Issue (1): 31-38.

• 沙漠与沙漠化 • 上一篇    下一篇

半干旱区植被风沙动力过程耦合研究:Ⅱ. 模拟

王 怡, 李振山, 陈 悠

  

  1. 北京大学环境工程系 水沙科学教育部重点实验室, 北京 100871
  • 收稿日期:2007-07-24 修回日期:2007-11-20 出版日期:2009-01-20 发布日期:2009-01-20

Vegetation-Erosion Process in Semiarid Region: Ⅱ. Simulation

WANG Yi, LI Zhen-shan, CHEN You   

  1. Department of Environmental Engineering, Peking University, Beijing, 100871, China; The Key Laboratory of Water and Sediment Sciences, Ministry of Education, Beijing, 100871, China
  • Received:2007-07-24 Revised:2007-11-20 Online:2009-01-20 Published:2009-01-20

摘要:

以我国北方半干旱区典型自然条件为模型输入参数,对生物量和风蚀量的动态变化和空间分布进行了模拟。模拟的主要影响因素有降水量、气温、土壤类型和风况等。模拟结果表明:生物量随着降水量的增加和气温的升高而增大,风蚀量随着大风日数和风速的增加而增大。随着半干旱区降水和气温的季节变化,生物量在初春最低、夏末最高;风蚀量则在春季最大、夏季最小。生物量和风蚀量有明显的相互影响,生物量的增加能够有效降低风蚀量。在不受其他因素影响时,生物量与降水量在空间上的分布呈现出一致性,在考虑气温因素后生物量的重心向气温较高处偏移。小幅度的地形变化对生物总量和风蚀总量的大小影响不大,但明显改变了它们的空间分布格局。

关键词: 生物量, 风蚀量, 动力耦合模型, 模拟

Abstract:

With the typical conditions such as precipitation, temperature, soil type and wind as input parameters, the biomass dynamics and wind erosion in semiarid area of north China were simulated. Results show that biomass increases with the increase of precipitation and temperature, and wind erosion increases with the raise of wind velocity and the number of windy days. With the seasonal change of precipitation and temperature in semiarid region, biomass has the lowest value in early spring and the highest value in late summer, and wind erosion reaches the lowest in summer and the highest in early spring. There is an obvious interaction between biomass and wind erosion. In addition, biomass has the same spatial distribution trend with precipitation when the other parameters are fixed. Taking the change of temperature into consideration, the center of high biomass leans to where the temperature is higher. The change of terrain in small extent has little influence on the total value of biomass and wind erosion, but it changes the spatial distribution of them.

Key words: biomass, wind erosion, dynamical coupling model, simulation

中图分类号: