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
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DOI:10.7606/j.issn.1000-7601.2013.06.028
Key Words: vegetation temperature condition index  factor weight sorting method  entropy method  combination weighting method  wheat yield  Guanzhong Plain
Author NameAffiliation
LI Yan1,2, WANG Peng-xin1*, LIU Jun-ming1, ZHANG Shu-yu3, LI Li1 (1.中国农业大学信息与电气工程学院 北京 100083 2.河北科技师范学院城市建设学院 河北 秦皇岛 0660043.陕西省气象局 陕西 西安 710014) 
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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 ri ghts 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 VTCI was significant by using the factor weight sorting method and combination weighting method, the R2 values of Xianyang, 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.