文献类型：期刊文献

中文题名：县域冬小麦生育期气候要素与产量的灰色关联度分析—以河南省为例

英文题名：Grey Correlation Analysis between Climatic Elements during Winter Wheat Growing Period and Yield in Counties—A Case Study of Henan Province

作者：赵凯娜[1];宁晓菊[2];秦耀辰[1];张荣荣[1];史琴琴[1]

第一作者：赵凯娜

机构：[1]河南大学环境与规划学院;[2]河南财经政法大学资源与环境学院

第一机构：河南大学环境与规划学院,开封475004

年份：2017

卷号：38

期号：11

起止页码：729-737

中文期刊名：中国农业气象

外文期刊名：Chinese Journal of Agrometeorology

收录：CSTPCD;;Scopus;北大核心:【北大核心2014】；CSCD:【CSCD2017_2018】；

基金：国家自然科学基金项目(41671536;41501588);河南省重点科研项目(18B170001)

语种：中文

中文关键词：气温;降水;日照;冬小麦产量;空间分布

外文关键词：Temperature; Sunshine; Precipitation; Winter wheat yield; Spatial distribution

摘要：基于河南省及周边39个气象站1996-2015年逐日气象观测资料和冬小麦产量数据,采用灰色关联分析方法,分析生育期各气候要素与河南省县域冬小麦产量关联度的时空变化特征。结果表明:总体来看,各气候要素与河南省冬小麦产量的关联度中,气温的关联度最大,日照时数次之,降水量最小;关联度空间分布上呈现北部地区高于南部地区的格局,南北过渡性明显,尤其是南部信阳市的关联度较其它地区明显偏低。分时段来看,各气候要素与冬小麦产量关联度在1996-2010年有所下降,在2011-2015年突变上升,有明显的年际变化特征,尤其是位于西南部和南部地区的县域单元变化显著,而北部、东部和中部地区的县域单元变化较小。各气候要素与冬小麦产量关联度总体呈上升趋势,气候变化对冬小麦产量的影响逐渐显著,应积极采取策略应对气候变化的影响。
Based on daily meteorological data and winter wheat yield data collected from 39 meteorological stations in Henan province and surrounding areas during 1996-2015, grey correlation analysis method was adopted to analyze space-time change characteristics of the correlations between climatic elements during winter wheat growing period and yield in countries of Henan province. The results showed that in general, among the correlations between climatic elements and winter wheat yield in Henan province, the temperature correlation was the largest, followed by sunshine hours, while precipitation was the smallest; in terms of spatial distribution of correlations, the correlation in northern regions was higher than that in southern regions; the transitivity of south and north was remarkable; particularly in Xinyang city in the south, its correlation was obviously lower compared to those of other regions. Seen from time quantum, the correlations between climatic elements during winter wheat growing period and yield declined a bit during 1996-2010, while rose abruptly during 2011-2015, showing a distinct inter-annual change feature. In particular, changes in counties located in the southwest and the south were remarkable, while those in the north, east and middle regions were smaller. Generally speaking, the correlations between each climatic element and winter wheat yield presented a rise tendency, and the influences of climate changes on winter wheat yield gradually became obvious. Hence, people should actively take corresponding strategies to cope with effects caused by climate changes.