灌溉排水学报2011，Vol.30Issue(5)：42-46,5.
川中丘陵区农业水资源高效利用综合分区
Zoning Agricultural Water Resources Utilization Based on Principal Component Analysis and Fuzzy C-Means Clustering Algorithm
摘要
Abstract
Quantization partition can be done in Hilly Ground of Middle Sichuan using the method of principal component analysis and fuzzy C-means clustering algorithm,according to partitioning index system（quantitative indicators 16,qualitative indicators 4） of agricultural water resources utilization selecting and building in the light of the key elements of agricultural eco-system environment ＂Water-hydrological cycle-environmental changes＂,water resource properties and content of efficient use of water resources and Productivityproductivity,land use,planting structure and scale cultivation etc.The results of the partition shows that the quantization partition in Hilly Ground of Middle Sichuan has reasonable partitioning indicators,properly partitioning method and reliable partition results,providing a strong comprehensive planning guidance and reference to the arid area in southern seasonal agricultural water resources utilization.关键词
农业水资源/高效利用/综合分区/主成分/模糊C-均值聚类算法Key words
agricultural water resources/efficient use/zoning/principal component analysis/fuzzy C-means clustering algorithm分类
农业科技引用本文复制引用
刘玉邦,梁川..川中丘陵区农业水资源高效利用综合分区[J].灌溉排水学报,2011,30(5):42-46,5.基金项目
"十一五"国家科技支撑计划项目(2007BAD88B08) （2007BAD88B08）
