摘要
运用相关性、变异性分析、主成分分析等方法,结合模糊ISODATA聚类的数学方法,构建了农业节水分区指标体系和方法,结合新疆86个县(市)农业用水的实际情况,将其划分为10个节水农业类型区。结果表明各节水农业分区与其地理位置所决定的气候特征和农业结构分布有着很好的一致性,应用该指标体系与方法可获得较为合理的节水农业分区。
Such methods as relativity analysis, variability analysis and principal component analysis,in combining with fuzzy ISODATA cluster mathematic methodology,are used to conceive the index and method system of water-saving agricultural zoning. Accordingly, in combining with agricultural water usereal conditions of 86 counties(municipalities)in Xinjiang,they are divided into 10 water-saving agro-type zones. The results indicate that each water-saving agricultural sub-zone is in better uniformity with the distribution of the climate features and agro-structures determined by the geographical locations. As a result,the application of the index system and method can obtain the rational water-saving agro-zoning.
出处
《西安理工大学学报》
CAS
2008年第1期89-93,共5页
Journal of Xi'an University of Technology
关键词
节水农业分区
方法体系
指标系统
主成分分析
模糊聚类法
water-saving agriculture zonification
method system
index system
principal componentanalysis
fuzzy cluster