摘要
利用双流县1985年-2003年水稻田间实际观测资料和同期气象数据,分离气象产量,作各发育期气象因子点聚图分析和标准化处理,得到相关系数,建立多元回归方程,利用积分回归分析不同发育期气候要素对气象产量影响程度。结果表明:在播种-出苗期,气象产量和气候积温呈负相关;在三叶-移栽期,气象产量和活动积温呈正相关;在拔节-孕穗期,气象产量和有效积温呈正相关;在开花-乳熟期,气象产量和最高气温呈负相关。
The observation data between 1985 and 2003 in Shuangliu County are used to separate the meteorological production. The point poly graph of the meteorological factors and standardized treatment of various development stages are used to obtain the correlation coefficient and the multiple regression equation is established. The integral regression is used to analyze the influence of the meteorological factors on the meteorological production. The results show that in the planting-out seedlings period the meteorological and climate accumulated production is negatively correlated, in the clover-transplant period the weather and activities accumulated production is positively correlated, in the jointing-booting the meteorological yield and effective temperature is positively correlated and in the blossom- ing-milky stage the weather and the highest yield is negatively correlated.
出处
《成都信息工程学院学报》
2010年第1期94-100,共7页
Journal of Chengdu University of Information Technology
关键词
大气科学
农业气象
水稻
气象要素
点聚图
多元回归
积分回归
atmospheric sciences
agrometeorological
rice
meteorological factor
point poly graph
multiple regres- sion
integral regression