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 |
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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. |
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