Development of a database on multivariate soil properties for collapsible loess in Xi’an, China

IF 3.7 2区工程技术 Q3 ENGINEERING, ENVIRONMENTAL

Bulletin of Engineering Geology and the Environment Pub Date : 2025-04-29 DOI:10.1007/s10064-025-04265-4

Jiabao Xu, Yongtang Yu, Jianguo Zheng, Lulu Zhang, Zheng Guan, Yu Wang

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引用次数: 0

Abstract

Several global or regional databases for various types of soils have been developed due to their importance in engineering design and analysis. However, a database is not yet available for collapsible loess in which severe geohazards often occur. In this study, a comprehensive loess database with twelve soil parameters is compiled by collecting results of field and laboratory tests on collapsible loess from the city of Xi’an, China. Basic statistics, marginal probability distribution functions (PDFs), and a correlation matrix for loess parameters are estimated from the database. To the best of the authors’ knowledge, this is the first collapsible loess database at a municipal level. In addition, existing databases often lack sufficiently complete multivariate measurement data for a proper estimation of statistical correlations among multiple soil properties. In this study, this incomplete multivariate measurement data problem is tackled by Bayesian methods (i.e., Bayesian Gaussian mixture model and Bayesian compressive sampling (BCS) with Karhunen–Loève (KL) expansion, BCS-KL), which are illustrated and validated using the incomplete and complete subsets of the loess database, respectively. Both the Bayesian Gaussian mixture model and BCS-KL are non-parametric, and they offer a flexible way of modeling marginal PDFs and a correlation matrix from incomplete measurements in a realistic manner.

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西安湿陷性黄土多元土壤特性数据库的建立

由于各种类型的土壤在工程设计和分析中的重要性，已经开发了几个全球或区域数据库。但是，对于经常发生严重地质灾害的湿陷性黄土，目前还没有建立数据库。本文通过收集西安市湿陷性黄土的现场和室内试验结果，建立了包含12个土壤参数的综合黄土数据库。从数据库中估计黄土参数的基本统计量、边际概率分布函数（pdf）和相关矩阵。据作者所知，这是第一个市级的湿陷性黄土数据库。此外，现有数据库往往缺乏足够完整的多变量测量数据，无法正确估计多种土壤性质之间的统计相关性。本研究采用贝叶斯方法(即贝叶斯高斯混合模型和带karhunen - lo （KL)展开式的贝叶斯压缩抽样（BCS），分别利用黄土数据库的不完全子集和完整子集进行说明和验证）来解决这一不完全多元测量数据问题。贝叶斯高斯混合模型和BCS-KL模型都是非参数的，它们提供了一种灵活的方法来模拟不完全测量的边缘pdf和相关矩阵。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Bulletin of Engineering Geology and the Environment 工程技术-地球科学综合

CiteScore

7.10

自引率

11.90%

发文量

445

审稿时长

4.1 months

期刊介绍： Engineering geology is defined in the statutes of the IAEG as the science devoted to the investigation, study and solution of engineering and environmental problems which may arise as the result of the interaction between geology and the works or activities of man, as well as of the prediction of and development of measures for the prevention or remediation of geological hazards. Engineering geology embraces: • the applications/implications of the geomorphology, structural geology, and hydrogeological conditions of geological formations; • the characterisation of the mineralogical, physico-geomechanical, chemical and hydraulic properties of all earth materials involved in construction, resource recovery and environmental change; • the assessment of the mechanical and hydrological behaviour of soil and rock masses; • the prediction of changes to the above properties with time; • the determination of the parameters to be considered in the stability analysis of engineering works and earth masses.