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中国沙漠 ›› 2013, Vol. 33 ›› Issue (2): 568-573.DOI: 10.7522/j.issn.1000-694X.2013.00078

• 中国地理学会沙漠分会2012年学术研讨会论文选 • 上一篇    下一篇

干旱人工固沙植被区土壤水分动态随机模拟

黄 磊1,2, 张志山1,2, 陈永乐1,2   

  1. 1.中国科学院寒区旱区环境与工程研究所 沙坡头沙漠试验研究站, 甘肃 兰州 730000;
    2.中国科学院寒区旱区环境与工程研究所 甘肃省寒区旱区逆境生理与生态重点实验室, 甘肃 兰州 730000
  • 收稿日期:2012-05-27 修回日期:2012-07-02 出版日期:2013-03-20 发布日期:2012-07-02

Probabilistic Modelling of Soil Moisture Dynamics in a Revegetated Desert Area

HUANG Lei1,2, ZHANG Zhi-shan1,2, CHEN Yong-le1,2   

  1. 1.Shapotou Desert Research and Experiment Station, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China;
    2.Key Laboratory of Stress Physiology and Ecology in Cold and Arid Regions, Gansu Province, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China
  • Received:2012-05-27 Revised:2012-07-02 Online:2013-03-20 Published:2012-07-02

摘要:

土壤水分是陆地水循环过程的关键环节,是联系陆地水文过程与生态过程的纽带。随着全球极端气候事件的频繁发生,土壤水分随机模拟逐渐成为当前生态水文学研究的热点。利用2008—2011年生长季土壤湿度连续监测数据及1991—2011年日降水资料,结合Rodriguez-Iturbe土壤水分动态随机模型,模拟了沙坡头人工植被区生长季土壤水分动态与土壤湿度概率密度函数特征。结果表明:人工固沙植被区生长季土壤水分年际变化与降雨分布一致。2008—2011年生长季植物根际层(0~60 cm)土壤湿度概率分布基本呈单峰状,20 cm处的土壤水分峰的阔度较其他土层相对土壤湿度峰较宽,并且分布也出现了一定程度的跳跃。而随着土层厚度的增加,在40 cm和60 cm的土壤水分概率分布峰的阔度也较小,与Rodriguez-Iturbe土壤水分动态随机模型模拟结果一致。说明Rodriguez-Iturbe模型在干旱人工植被区也具有很好的适用性,可以对荒漠人工植被恢复区的土壤水分统计特征进行很好的模拟,为以后干旱沙区随机生态水文模型的建立奠定基础。

关键词: 人工植被区, 土壤水分, Rodriguez-Iturbe模型, 土壤湿度概率密度函数

Abstract:

Soil moisture was the key link between land hydrological and ecological processes, which had play an important role in the terrestrial water cycling. With frequent and extreme weather events in recent years, the stochastic simulation of soil moisture has gradually become the research focus in ecohydrology. Based on the continuous monitoring soil moisture data from 2008 to 2011, the historical precipitation data from 1991 to 2011, and combined with the Rodriguez-Iturbe soil moisture dynamic stochastic model, we studied the soil moisture dynamics and its probability density function in a revegetated desert area. Results showed that, the annual soil moisture dynamics changed with the rainfall distribution, and the probability distribution showed a single peak-shaped in the plant rhizosphere layer (0-60 cm), the peak width in the topsoil mositure 20 cm was larger than the others, and the distribution also appeared a certain degree of jump. The 40 cm and 60 cm of soil moisture probability distribution peak width was smaller, which was in accordance with the simulation results of Rodriguez-Iturbe model. Those results confirmed that stochastic model also had a good applicability in arid desert areas and could be well used in describing the statistical characteristics of soil moisture.

Key words: revegetated desert area, soil mositure, Rodriguez-Iturbe model, probability density functions of soil mositure

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