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改进的蚁群聚类在精准灌溉管理分区中的应用 被引量:8

Application of improved ant colony clustering method in the delineation of site-specified irrigation management zones
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摘要 为了便于精准灌溉的田间实际操作和管理,采用改进的蚁群聚类算法进行灌溉管理分区研究。蚁群算法的离散性和并行性特点对于数据的特征聚类非常适用,然而当数据量较大时,蚁群聚类在系统循环过程中,对数据的搜索时间较长,计算量大,因此将初始聚类中心作为蚂蚁的初始食物源加以引导,减少蚂蚁行走的盲目性,以达到降低计算量、加快聚类的目的。该文以土壤物理特性作为数据源,在运用主成分分析消除初始指标相关性的基础上,采用改进的蚁群聚类对研究区进行精准灌溉管理分区的划分。将改进的蚁群聚类分区结果与传统的K-均值聚类进行比较,前者分区结果表现出土壤物理特性区内均一性更强、区间差异性更加显著的特点。改进的蚁群聚类分区结果表明,研究区可划分成2个灌溉管理分区,I区土壤的田间持水率、饱和含水率和凋萎含水率均较II区大,表明在相同的气候条件下,I区的土壤耐旱能力较II区强,分区结果可以为精准灌溉的分区管理提供参考依据和数据支持。 For more efficiently applying field operation and management of precision irrigation,an improved ant colony clustering algorithm was used to delineate irrigation management zones.Ant colony algorithm with the characteristics of discreteness and parallelism is applicable to data feature clustering.However when the data quantity is huge,ant colony clustering will take long time on data search and cause high computational complexity in the process of system circulation.Thus,for the purpose of decreasing computational complexity and accelerating clustering,initial clustering center was taken as the initial food source in the paper to guide ant colony to reduce the blindness of ant walking.Soil physical properties were taken as the data sources.After principal components analysis was used to eliminate correlations among initial indexes,improved ant colony clustering was performed to delineate site-specified irrigation management zones.According to the comparison of delineation management zones between improved ant colony clustering and K-means clustering,management zones delineated by the former showed the features that soil physical properties had stronger uniformity within the subzone and more significant difference between subzones.Delineation result based on the improved ant clustering indicated that the study area could be partitioned into two irrigation management zones.Soil field capacity,saturation moisture content and permanent wilting point in Zone I were greater than those in Zone II,which indicated that soil in Zone I had stronger drought resistance than that in Zone II under the same climate conditions.Delineation of irrigation management zones could provide references and data support for site-specified irrigation management.
出处 《农业工程学报》 EI CAS CSCD 北大核心 2010年第2期37-42,F0003,共7页 Transactions of the Chinese Society of Agricultural Engineering
基金 黑龙江科技攻关项目(No.GB06B106-7)
关键词 蚁群聚类 灌溉管理分区 主成分分析 K-均值聚类 ant colony clustering irrigation management zones principal components analysis K-means clustering
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