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京津冀地区冬小麦气候生产潜力的一种动态区划
引用本文:刘晶淼,申红艳,丁裕国,郑春雨,张文宗.京津冀地区冬小麦气候生产潜力的一种动态区划[J].气象与环境学报,2010,26(6):1-5.
作者姓名:刘晶淼  申红艳  丁裕国  郑春雨  张文宗
作者单位:1.中国气象局沈阳大气环境研究所,沈阳,110016;2.青海省气候中心,西宁,810001;3. 南京信息工程大学,南京,210044;4.东北电力设计院,环境评价室,长春,130000;5. 中国气象科学研究院,北京,100081)
基金项目:中国气象局气象行业专项项目
摘    要:以京津冀地区的冬小麦农业气候生产潜力为研究对象,根据统计检验聚类方法(CAST)与旋转主分量分析(RP-CA)相结合的气候分类区划新方法,对该区冬小麦气候生产潜力进行了区划试验,计算验证了理论与实际结果的一致性,从而进一步证明该方法的合理性及可靠性。同时也印证了CAST和RPCA用于气象场分类区划具有等价性和互补性的事实;此外,各分区具有不同的年际变化特征,也表明区划结果是合理的,从而较好地佐证了这一新的分区方法。

关 键 词:农业气候生产潜力  聚类统计检验方法  旋转主分量分析  气候区划  
收稿时间:2010-10-26
修稿时间:2010-11-17

A dynamic division scheme of agro-climatic production potential for winter wheat in Beijing,Tianjin and Hebei province
LIU Jing-miao,SHEN Hong-yan,DING Yu-guo,ZHENG Chun-yu,ZHANG Wen-zong.A dynamic division scheme of agro-climatic production potential for winter wheat in Beijing,Tianjin and Hebei province[J].Journal of Meteorology and Environment,2010,26(6):1-5.
Authors:LIU Jing-miao  SHEN Hong-yan  DING Yu-guo  ZHENG Chun-yu  ZHANG Wen-zong
Institution:1. Institute of Atmospheric Environment, China Meteorological Administration, Shenyang 110016, China; 2. Qinghai Provincial Climate Centre, Xining 810001, China; 3. Nanjing University of Information Science and Technology, Nanjing 210044, China; 4. Department of Environmental Assessment, Northeast Electric Power Design Institute, Changchun 130000, China; 5. Chinese Academy of Meteorological Sciences, Beijing 100081, China)
Abstract:A new dynamic division scheme of the agro-climatic production potential for winter wheat was proposed by means of combination of a cluster analysis of statistic test (CAST) and rotating principal component analysis (RPCA) in the Hebei province (including Beijing and Tianjin). The results obtained from the new scheme are consistent with the real observational data obtained at each station. It has been shown that the new climatic division of production potential has universality and comparability, which is suitable for crop yielding estimation in different areas. Furthermore, the results show different inter-annual variations in the different areas and this implies that the new division scheme is more reasonable.
Keywords:Agro-climatic potential productivity  Cluster analysis of statistic test  Rotating principle component analysis  Climate Division
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