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盐渍土分类的模糊聚类法探讨
引用本文:白应生,余承华,康 婷. 盐渍土分类的模糊聚类法探讨[J]. 西北农林科技大学学报(自然科学版), 2008, 36(2): 194-198
作者姓名:白应生  余承华  康 婷
作者单位:1. 空军工程大学,工程学院,陕西,西安,710038
2. 西安理工大学,水利水电学院,陕西,西安,710048
摘    要:【目的】寻求更为准确的盐渍土分类方法。【方法】对模糊聚类法的原理进行了介绍,并结合西北某机场重要建筑物的地质特点,利用模糊聚类法对该地区10个检测点的地基土进行了分类。【结果】西北某机场10个检测点的地基土可分为4类,即(1,2,3,4,8,9)区域属于亚硫酸盐渍土;(5,6)区域属于亚氯盐渍土;(10)区域属于碳酸盐渍土;而(7)区域属于非盐渍土。【结论】盐渍土分类的模糊聚类法较传统分类法简单、准确可靠,尤其是能具体判断出某点或某区域是否为盐渍土,对盐渍土的评判和地基处理有较大帮助。

关 键 词:盐渍土  土壤分类  盐渍土地基  模糊聚类法
文章编号:1671-9387(2008)02-0194-05
收稿时间:2007-01-31
修稿时间:2007-01-31

Study on fuzzy clustering methods of the saline soil classification
LIU Tang-yu. Study on fuzzy clustering methods of the saline soil classification[J]. Journal of Northwest A&F University(Natural Science Edition), 2008, 36(2): 194-198
Authors:LIU Tang-yu
Affiliation:1(1 Engineering Institute,Air Force Engineering University,Xi’an,Shaanxi 710038,China;2 Institute of Water Conservancy and Hyclroelectric Power,Xi’an University of Technology,Xi’an,Shannxi 710048,China)
Abstract:[Objective] This study aims to find out an accurate classification method for saline soil. [Method] Fuzzy clustering methods was introduced, combining the geology characteristics with some important buildings in a northwest airport. The foundation soil in 10 testing points within the region was examined and classified by fuzzy clustering methods. [Result] The 10 points can be divided into 4 types to examine the foundation soil, points 1,2,3,4,8,9 belong to the sulfurous acid saline soil, points 5,6 to second chlorine saline soil and point 10 to carbonate saline soil. However, point 7 belongs to the non-saline soil. The paper adopts fuzzy clustering methods to carry on a classification to the saline soil. [Conclusion] Fuzzy clustering methods of saline soil classification is more simple and accurate than traditional one. Particularly,we can judge one point or some scope whether it is saline soil. This is of great help to judge saline soil and process foundation.
Keywords:saline soil  soil classification   saline soil foundation   fuzzy clustering methods
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