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以东北地区10 km×10 km的气象要素插值资料以及作物发育期资料为基础,通过计算每个网格点上热量指数和热量指数临界值,得到每个网格点上低温冷害指标值。在此基础上对低温冷害指标进行经验正交分解和小波分析,得到其时空变化规律及多时间尺度特征。玉米冷害3个空间分布型时间系数的分析表明,东北地区玉米低温冷害存在如下规律:第1模态在1971-1992年,呈现准8 a的周期变化规律,第2模态没有呈现很好的周期性规律,第3模态在1963-1974年,呈现准2a的周期变化规律。热量指数变异系数低值区主要分布在平原地区,中值区和高值区主要分布在大兴安岭、小兴安岭、长白山地区以及吉林省白城市沙地,山地和沙地的变异系数要高于平原地区。
Based on the interpolation data of meteorological elements of 10 km × 10 km in northeastern China and the data of crop development period, the index of chilling damage index at each grid point was obtained by calculating the thermal index and the calorific value threshold of each grid point. On this basis, the empirical orthogonal decomposition and wavelet analysis of low temperature chilling injury indicators, to obtain its temporal and spatial variation and multi-time scale features. The analysis of three spatial distribution time coefficients of chilling damage in maize showed that there was a law of low temperature chilling damage in northeast China. The first mode exhibited a periodic variation pattern of quasi-8 a from 1971 to 1992, while the second mode did not show good Periodicity, the third mode in the 1963-1974, showing the regular 2a cycle variation. The low value areas of variation index of caloric value are mainly distributed in plain area. The variation coefficient of medium value area and high value area are mainly distributed in Daxing’anling, Xiaoxing’anling, Changbai Mountain area and Baicheng City, Jilin Province.