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作 者:章哲辉 张晓 黄屏 曾强 王占华 ZHANG Zhehui;ZHANG Xiao;HUANG Ping;ZENG Qiang;WANG Zhanhua(Geological&Geophysical Engineering Exploration Institute of Guangdong Province,Guangzhou 510800,China;Guangdong Jiu Yu Engineering Technology Consulting Co.,Ltd.,Guangzhou 510635,China;GDZD Institute on Deep-Earth Sciences,Guangzhou 510275,China;China Energy Engineering Group Guangdong Electric Power Design Institute Co.,Ltd.,Guangzhou 510663,China)
机构地区:[1]广东省地质物探工程勘察院,广东广州510800 [2]广东省九域工程技术咨询有限公司,广东广州510635 [3]广东中大深地科学研究院有限公司,广东广州510275 [4]中国能源建设集团广东省电力设计研究院有限公司,广东广州510663
出 处:《电力勘测设计》2025年第4期67-73,共7页Electric Power Survey & Design
基 金:珠海市城市地质调查(含信息化项目)(MZCD-2201-008);广东省电力设计研究院院级科标“花岗岩孤石评价方法及其应用”(KB-2009-140)。
摘 要:为研究珠海市孤石发育程度,抽取146个勘察项目,对分级指标进行统计分析,按照广东省标准进行孤石发育程度分级;同时,应用系统聚类法以及K均值聚类法,对揭示率、线发育率、多次揭示率进行分析。结果显示,聚类法其最优分类数与规范的三分法不同,界限值也无法直接对比。为建立二者的对应关系,通过主成分分析,把3项原始指标压缩为2项主成分,获得最优分类数为3、6的聚类,最后基于主成分的聚类结果提出分级界限值的建议值。In order to study the development degree of spheric weathered granite in Zhuhai,146 survey projects were selected,and the classification indicators were statistically analyzed.The classification of the development degree of spheric weathered granite was conducted according to the Guangdong Provincial Standard.Meanwhile,the system clustering method and K-means clustering method are applied to analyze the revealing rate,line development rate,and multiple revealing rate.The results show that the optimal number of clusters in clustering methods is different from the standard trichotomy method,and the threshold values cannot be directly compared.To establish a correspondence between clustering and classification,the three original indicators were compressed into two principal components through principal component analysis,obtaining clusters with optimal classifications of 3 and 6.Finally,based on the clustering results of the principal components,we proposed suggested values for the classification thresholds.
分 类 号:TK01[动力工程及工程热物理] P642[天文地球—工程地质学]
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