Impact of drought on maize yield of Shanxi Province during the past 50 years based on revised meteorological drought composite index
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DOI:10.7606/j.issn.1000-7601.2013.03.37
Key Words: meteorological drought composite index(CI)  meteorological drought  maize yield  Shanxi Province
Author NameAffiliation
XU Ling ling National Meteorological Center, Beijing 100081, China 
WANG Jianlin National Meteorological Center, Beijing 100081, China 
SONG Yanling National Climate Center, Beijing 100081, China 
ZHENG Changling National Meteorological Center, Beijing 100081, China 
FANG Li Chinese Research Academy of Enoironmental Sciences, Beijing 100012, China 
SONG Yingbo National Meteorological Center, Beijing 100081, China 
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Abstract:
      Daily meteorological drought composite indexes(CI) from 1961 to 2010 were calculated based on daily air temperature and precipitation data of observation stations in Shanxi Province. By comparison of CI with soil moisture observation data from the near crop stations from 1992 to 2010, evaluation criterion of CI for maize in drought was status revised according to the region and growth stages. Quantitative assessment model of maize drought losses in Shanxi province was also constructed based on the maize unit yield during the past 50 years. The results showed a significant dis crepancy between evaluation criterion of CI for maize in drought and traditional classification of meteorological drought category was observed. For example, evaluation criterion of CI for maize in drought in Souther Shanxi was≤-1.2 for stages from seeding to emergence, jointing to teaseling and milky maturity to full maturity, ≤-1.3 for stage from emergence to jointing, and ≤-0.9 for stages from teaseling to milky maturity. Accumulative drought index of the whole were growth stages and meteorologically influenced yield of maize were significantly positive correlated, with a coefficient of correlation of 0.9335 for Northern Shanxi, 0.6929 for Middle Shanxi and 0.8041 for Southern Shanxi. By using quantitative assessment model of maize drought losses in Shanxi province, simulated yield and actual yield passed the Pearson significance test, and produetion loss of maize in drought can be assessed more accurately with these models.