摘要
文章采用1967—2016年赤峰地区50a的降水和温度资料,运用信息熵的统计分析方法,分析了玉米生长发育期的降水和温度变化特征。结果表明:不同地区、不同玉米发育期的熵情差异较大。温度熵与降水熵的地域性比较强,高熵和低熵中心分别出现在巴林左旗和克什克腾旗;玉米发育期各阶段的熵情特征表现为:降水熵在花粒期较高,而温度熵的高值出现在穗期。分析表明,近年来赤峰地区玉米生产期内气候暖干化趋势加重,要引起足够重视,及早采取防御措施,以减少农业损失。
The statistical analysis method of information entropy was used to study the precipitation and temperature variation characteristics of maize growth period by using the data of the Chifeng area in the period of 1967-2016. The results showed that the entropy in different regions and different growth stages of maize is different. The regional comparison of temperature and precipitation entropy is evident, the center of high entropy and low entropy appear in Baarin Left Banner and Hexigten Banner respectively. The entropy characteristics of each stage of maize are: the precipitation entropy is higher in the flowering period, and the high value of temperature entropy appears in the spike period. The analysis shows that in recent years, the trend of warming and drying of maize growth in Chifeng area is aggravated, which should be given to enough attention and take early defensive measures to reduce agricultural losses.
作者
冀晓娜
康健丽
李婧
Ji Xiaona;Kang Jianli;Li Jing(Ningcheng Meteorological Bureau,Inner Mongolia Chifeng 02420)
出处
《内蒙古气象》
2018年第2期30-32,43,共4页
Meteorology Journal of Inner Mongolia
关键词
信息熵
玉米生育期
温度
降水
赤峰
Entropy
Maize growth period
Temperature
Precipitation
Chifeng