干旱地区农业研究Issue(6)：159-163,5.
基于条件植被温度指数的冬小麦主要生育时期干旱监测效果评价--I．因子权重排序法和熵值法组合赋权
Application of temperature condition index to evaluate the drought monitoring effect in main growing period of winter wheat:---Ⅰ.factor weight sorting method and entropy method
摘要
Abstract
Selected the drought monitoring results of vegetation temperature condition index (VTCI)of winter wheat at the ten-days interval from March to May of year 2002-2009 in Guanzhong Plain,the main growth and development period of winter wheat was divided into four stages,and the impact rights of each stage’s drought to the wheat yield was determined by using the factor weight sorting method,entropy method and combination weighting methods,calculated the rights VTCI and established a linear regression model between the rights VTCI and yield of winter wheat .The results shown that:There were significant linear correlations between the yield and the weights VTCI in most region of Guanzhong Plain .Among them,the linear correlations was not significant by the entropy method,the R2 values of Weinan,Xianyang and Tongchuan total was less than 0 .5 .The linear correlations between the yield and the weights VT-CI was significant by using the factor weight sorting method and combination weighting method,the R2 values of Xi-anyang,Baoji and Xi’an were close or higher than 0.6,Weinan was close to 0.5,and Tongchuan was rather poor. While by using the combination weighting method,the R2 values of Baoji and Xi’an were all close to 0 .7,this result was better than the combination weighting method and entropy method .关键词
条件植被温度指数/因子权重排序法/熵值法/组合赋权法/小麦单产/关中平原Key words
vegetation temperature condition index/factor weight sorting method/entropy method/combination weighting method/wheat yield/Guanzhong Plain分类
农业科技引用本文复制引用
李艳,王鹏新,刘峻明,张树誉,李俐..基于条件植被温度指数的冬小麦主要生育时期干旱监测效果评价--I．因子权重排序法和熵值法组合赋权[J].干旱地区农业研究,2013,(6):159-163,5.基金项目
国家自然科学基金资助项目（41071235）；“十二五”国家科技支撑计划资助项目（2012BAD20B0103）和高等学校博士学科点专项科研基金项目 （）
