中国农业气象

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盛夏干旱对晋中盆地春播玉米产量影响的分析评估

韩爱梅;张怀仁;原文国;陆春花;王栋;   

  1. 山西省晋中市气象局;山西省晋中市农业局;山西省介休市气象局;山西省太谷县气象局;
  • 出版日期:2009-08-10 发布日期:2009-08-10
  • 基金资助:
    山西省晋中市科技攻关项目“晋中地区主要作物生长、发育关键期干旱段、干旱程度的预报及其对策”

Analysis and Assessment of Influence of Summer Drought on Spring Maize Yields in Jinzhong Basin of Shanxi Province

HAN Ai-mei1,ZHANG Huai-ren2,YUAN Wen-guo1,LU Chun-hua3,Wang-Dong4(1.Jinzhong Meteorological Bureau,Yuci 030600,China;2.Jinzhong Agricultural Bureau,Yuci 030600;3.Jiexiu Meteorological Bureau,Jiexiu 032000;4.Taigu Meteorological Bureau,Taigu 030800)   

  • Online:2009-08-10 Published:2009-08-10

摘要: 依据1972-2006年35a晋中11个县市历年的逐月、旬、侯降水资料,结合不同的气候特征和地理环境,将晋中划分为4个区域。用数理统计方法,分区域分析了干旱及旱灾造成粮食减产的时空分布特征,分组量化研究了4个区域丰产年、歉收年、干旱年、平常年4类不同产量类型年中干旱对玉米产量的影响,分时段分析了干旱对玉米产量的影响以及玉米主生育期内各生育阶段的成旱因素和缓旱因素。结果表明:干旱显著年份,对玉米减产的影响平均为23.5%~42.3%,灾年全市平均减产在1.05~3.5亿kg。对全市性的5个灾年进行计算,玉米减产达10.95亿kg,旱灾损失占到全市各种灾害损失的65%~84%。全市干旱发生频率在加大,干旱烈度在加重,导致玉米减产年份相应增多,减产幅度也呈相对增大趋势。

关键词: 干旱, 玉米产量, 评估, 距平百分率

Abstract: Based on the historical precipitation data of eleven counties and cities in Jinzhong from 1972 to 2006 and the different climatic and geographical environment,Jinzhong City was divided into four sub-regions.Using the mathematical statistical method,the spatial and temporal distribution features of the grain reduction in different regions caused by summer drought were analyzed.The influence of the summer drought on maize production in four different kinds of years,such as high yield years,crop failure years,drought years and normal years,was analyzed as well.The reasons of the drought formed and eased in each growing period of maize were discussed.The results showed that in significant drought years,the average influence of the grain reduction was by 23.5 percent to 42.3 percent,while in disaster years,the average reduction of the whole Jinzhong City was by 1.05×108 kilograms to 3.50×108 kilograms.In the five disaster years of the whole city,the reduction of maize was to 1.095 billion kilograms.The drought losses occupied 65 percent to 84 percent in all the city's disaster losses.The frequency of drought was increasing and the intensity of drought was growing,which led to increase of the years of maize yield reduction.

Key words: Drought, Drought, Maize yield, Assessment, Anomaly percentage