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应用生态学报 ›› 2005, Vol. 16 ›› Issue (5): 843-848.

• 研究论文 • 上一篇    下一篇

拉格朗日逆分析在森林蒸散模拟中的应用

王安志1, 刁一伟1,2, 金昌杰1, 关德新1, 裴铁璠1   

  1. 1. 中国科学院沈阳应用生态研究所, 沈阳 110016;
    2. 中国科学院研究生院, 北京 100039
  • 收稿日期:2004-07-19 修回日期:2005-02-22 出版日期:2005-05-15 发布日期:2005-05-15
  • 通讯作者: 裴铁璠
  • 基金资助:
    国家自然科学基金项目(30370293)、中国科学院知识创新工程重要方向项目(YCXZY0203)和中国科学院知识创新工程重大资助项目(KZCX1-SW-01-01A).

Application of inverse Lagrangian dispersion analysis in simulating forest evapotranspiration

1   

  1. 1. Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China;
    2. Graduate School of Chinese Academy of Sciences, Beijing 100039, China
  • Received:2004-07-19 Revised:2005-02-22 Online:2005-05-15 Published:2005-05-15

摘要: 以长白山阔叶红松林为研究对象,根据Raupach提出的LocalizedNearField(LNF)理论为依据,耦合垂直速度标准差σw(z)和拉格朗日时间尺度TL(z),建立林冠内水汽源汇强度和平均浓度廓线之间的关系;利用拉格朗日逆分析法(inverseLagrangiandispersionanalysis,IL)提出了通过林冠水汽浓度梯度计算林冠内的水汽源汇强度进而推算森林蒸散的方法.最终得到的结果与开路涡动相关系统的观测数据比较显示,对于白天水汽累积通量的模拟精度达到87.3%;IL模拟值高于EC实测值,大约高出15%~25%;林冠白天水汽通量远大于夜间,占日水汽总通量的70%以上.6~8月的水汽白天累积总通量高于5月和9月.

关键词: 拉格朗日逆分析, 森林蒸散, 涡动相关

Abstract: Based on the localized near field (LNF) theory and coupled with the distribution of vertical velocity standard deviation (σw(z)) and Lagrangian integral time scales TL(z) within the canopy proposed by Raupach,the relationship between water vapor source/sink distribution and its mean concentration profile was constructed.The estimation of forest evapotranspiration was also conducted by the inverse Lagrangian dispersion analysis,which can calculate the water vapor source/sink distribution from its mean concentration profile.The calculated forest evapotranspiration was compared with the measured values.It was concluded that the simulated precision of the daily daytime evapotranspiration could reach 87.3%,the calculated results was 15%~25% higher than the measured one,the nighttime evapotranspiration was about 70% of the daily value,and the total monthly evapotranspiration from June to August was higher than that in May and September.

Key words: Inverse Lagrangian dispersion analysis, Forest evapotranspiration, Eddy covariance method

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