论文部分内容阅读
通过收集前人所作的全国各地区水稻产量气象预报模型 ,将所得到的资料按双季早稻、双季晚稻、单季稻进行分类 ,并提取预报因子。通过定量化处理 ,使用系统聚类分析方法 ,以预报方程中的影响因子为指标 ,讨论了各水稻分区 (双季早稻分为 4个区 ,双季晚稻分为 2个区 ,单季稻分为 9个区 )水稻产量的主、次要影响因子和影响时期 ,为大范围水稻产量预报提供了科学依据。
By collecting the meteorological forecast models of rice yield in all regions of the country made by predecessors, the data were classified according to double-season early-rice, double-season late-rice and single-season rice, and the forecasting factors were extracted. Through quantitative analysis and systematic clustering analysis, the influencing factors in the forecasting equation were used as indices to discuss the rice partitioning (double-season early rice is divided into four areas, double-season late rice is divided into two areas and single-season rice is divided into 9 A district) the main and secondary influencing factors of rice production and the impact period, providing a scientific basis for a large area of rice yield forecast.