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基于高斯混合聚类算法的西安市人工填土空间分布研究

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文章导航 > 西北地质 > 2022 > 55(2): 298-304

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刘梁, 石卫, 张晓平, 韩冰, 董欣, 袁琳. 2022. 基于高斯混合聚类算法的西安市人工填土空间分布研究. 西北地质, 55(2): 298-304. doi: 10.19751/j.cnki.61-1149/p.2022.02.027
引用本文: 刘梁, 石卫, 张晓平, 韩冰, 董欣, 袁琳. 2022. 基于高斯混合聚类算法的西安市人工填土空间分布研究. 西北地质, 55(2): 298-304. doi: 10.19751/j.cnki.61-1149/p.2022.02.027
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LIU Liang, SHI Wei, ZHANG Xiaoping, HAN Bing, DONG Xin, YUAN Lin. 2022. Research on Spatial Distribution of Artificial Fill in Xi'an Based on Gaussian Mixture Clustering Algorithm. Northwestern Geology, 55(2): 298-304. doi: 10.19751/j.cnki.61-1149/p.2022.02.027
Citation: LIU Liang, SHI Wei, ZHANG Xiaoping, HAN Bing, DONG Xin, YUAN Lin. 2022. Research on Spatial Distribution of Artificial Fill in Xi'an Based on Gaussian Mixture Clustering Algorithm. Northwestern Geology, 55(2): 298-304. doi: 10.19751/j.cnki.61-1149/p.2022.02.027
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基于高斯混合聚类算法的西安市人工填土空间分布研究

  • 1. 西安市勘察测绘院, 陕西 西安 710059;

  • 2. 陕西省水工环地质调查中心, 陕西 西安 710068;

  • 3. 地质灾害防治与地质环境保护国家重点实验室(成都理工大学), 四川 成都 610059;

  • 4. 陕西省城市地质与地下空间工程技术研究中心, 陕西 西安 710068

  • 基金项目:

    陕西省公益性地质专项“关中平原城市群地下空间可持续利用研究”（20180303）资助。

详细信息
    作者简介: 刘梁(1987-),男,汉族,高级工程师,博士,毕业于成都理工大学,主要从事城市地下空间开发利用研究和城市地质地理信息系统建设研究。E-mail:thearcom@foxmail.com。

  • 中图分类号: X144

Research on Spatial Distribution of Artificial Fill in Xi'an Based on Gaussian Mixture Clustering Algorithm

  • 1. Xi'an Institute of Prespecting and Mapping, Xi'an 710059, Shaanxi, China;

  • 2. Shaanxi Hydrogeolog Engineering Geology and Environment Geology Survey Center, Xi'an 710068, Shaanxi, China;

  • 3. State Key Laboratory of Geohazard Prevention and Geoenvironment Protection(Chengdu University of Technology), Chengdu 610059, Sichuan, China;

  • 4. Shaanxi Engineering Technology Research Center for Urban Geology and Underground Space, Xi'an 710068, Shaanxi, China

    摘要
  • 通过整理西安市主城区400 km2范围内的工程地质资料，筛选出20 793个工程地质钻孔，用以进行杂填土和素填土的空间分布研究。采用机器学习中高斯混合聚类的算法，对无标记的钻孔数据样本进行学习；使用赤池信息准则和贝叶斯信息准则对高斯混合聚类算法进行检验；通过试算确定杂填土和素填土聚类簇数的底部为n=140，并形成杂填土和素填土的空间分布图。研究表明，西安市人工填土分布广泛，厚度多在3~10 m，局部地区最大厚度可达十几米，土层产状和厚度在平面上变化迅速，性质较为复杂。杂填土和素填土均广泛分布于城区各处，埋深多在3 m以内，部分地区埋深可达3~10 m，极少数区域层底深度达到10 m以上。
    By sorting out the engineering geological data of 400km2 area in the main urban area of Xi'an, about 20793 engineering geological drillings are selected to be used in spatial distribution researching of miscellaneous fill and plain fill. Gaussian mixture clustering algorithm in Machine learning is used for learning unlabeled drilling data samples, Akaike Information Criterion and Bayesian Information Criterion are used for testing Gaussian Mixture Clustering Algorithm, and n=140 is the bottom of cluster number of miscellaneous fill and plain fill are determined by trial calculation, and then spatial distribution map of miscellaneous fill and plain fill are drawn. The research shows that artificial fill of Xi'an is widely distributed, its thickness is mostly between 3 to 10 meters, maximum thickness in local areas can reach more than 10 meters. The occurrence and thickness of soil layers change rapidly in plane and their properties are complicated. Miscellaneous fill and plain fill are widely distributed in urban areas,depth of embedment is mostly within 3 meters, some areas can reach 3 to 10 meters, and very few areas can reach more than 10 meters.
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收稿日期:  2021-06-07
修回日期:  2021-11-10

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