文章摘要
秦 璐, 马 亮, 马英杰.基于偏最小二乘回归的塔里木盆地北缘区ET0预测Journal of Water Resources and Water Engineering[J].,2014,25(3):170-173
基于偏最小二乘回归的塔里木盆地北缘区ET0预测
Prediction of ET0 in north area of Tarim basin based on partial least-square regression model
  
DOI:10.11705/j.issn.1672-643X.2014.03.035
中文关键词: 偏最小二乘回归模型  蒸发蒸腾  ET0预测  塔里木盆地
英文关键词: partial least-square regression model  evaportranspiration  ET0 prediction  Tarim basin
基金项目:新疆水利水电工程重点学科资助(XJZDXK2002-10-05)
Author NameAffiliation
QIN Lu1,2, MA Liang1, MA Yingjie1 (1.新疆农业大学 水利与土木工程学院 新疆 乌鲁木齐 8300522.新疆生产建设兵团勘测规划设计研究院 新疆 乌鲁木齐 830000) 
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中文摘要:
      利用气象因子计算ET0时,各气象因子之间经常存在多重相关性现象,从而导致所建多元回归模型失真,预测精度低。本文以新疆塔里木盆地北缘区的尉犁县为例,采用偏最小二乘回归建立ET0模型,利用主成分分析与典型相关分析思想,采用成分提取的方法,有效解决了各气象因子间的多重相关性问题,所建ET0模型取得较好效果。
英文摘要:
      When calculating the reference crop evaportranspiration by use of meteorological factor,there are multiple correlation phenomenon between each meteorological factor. The phenomenon can result in distorting and destabilizing the built regression model,and reduce predictive precision.Taking Weili county in north region of Tarim basin of Xinjiang as example,the paper adopted partial least-square regression to set up ET0 model.By use of the principal component analysis and typical correlation analysis,it took method of component extract to solve the interactive correlation among meteorological factors.The built ET0 model got better effect.
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