Quasi-site-specific multivariate probability distribution model for sparse, incomplete, and three-dimensional spatially varying soil data

Quasi-site-specific multivariate probability distribution model for sparse, incomplete, and three-dimensional spatially varying soil data
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DOI：
10.1080/17499518.2021.1971256
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发表时间：
2021-09
期刊：
Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards
影响因子：
--
通讯作者：
J. Ching;K. Phoon;Zhiyong Yang;A. Stuedlein
J. Ching;K. Phoon;Zhiyong Yang;A. Stuedlein
中科院分区：
其他
文献类型：
--
作者：
J. Ching;K. Phoon;Zhiyong Yang;A. Stuedlein

文献摘要

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在之前的研究中，两位作者提出了一种数据驱动的方法，该方法可以利用稀疏、不完整和空间可变的现场调查数据构建特定地点的多元概率密度函数模型。空间变异仅限于深度方向（未考虑水平变异）。这种数据驱动的方法被称为GPR-MUSIC-X。本文对GPR-MUSIC-X进行了两方面的改进。首先，将GPR-MUSIC-X考虑的一维空间变异性扩展到三维空间变异性（用GPR-MUSIC-3X表示）。其次，采用层次贝叶斯模型（HBM）学习土壤数据库中考虑场地差异（或独特性）的一般场地的相互关系（不同土壤参数之间的相关性）行为，并将学习结果纳入GPR-MUSIC-3X。所得到的模型是一个准站点特定模型（用HBM-MUSIC-3X表示），因为它不仅基于站点特定数据，而且还以一种对站点独特性敏感的方式由土壤数据库提供信息。一个历史案例被用来说明所提出的HBM-MUSIC-3X的有效性。
ABSTRACT In a previous work, the first two authors proposed a data-driven method that can construct a site-specific multivariate probability density function model for soil properties using sparse, incomplete, and spatially variable site investigation data. The spatial variability was limited to the depth direction (horizontal variability was not considered). This data-driven method is referred to as GPR-MUSIC-X. In the current paper, two improvements with respect to GPR-MUSIC-X are made. First, the one-dimensional spatial variability considered by GPR-MUSIC-X is extended to three-dimensional spatial variability (denoted by GPR-MUSIC-3X). Second, a hierarchical Bayesian model (HBM) is adopted to learn the cross-correlation (correlation among different soil parameters) behaviour of generic sites in a soil database accounting for site differences (or uniqueness), and the learning outcome is incorporated into GPR-MUSIC-3X. The resulting model is a quasi-site-specific model (denoted by HBM-MUSIC-3X) because it not only is based on site-specific data but also is informed by the soil database in a manner sensitive to site uniqueness. A case history is used to illustrate the effectiveness of the proposed HBM-MUSIC-3X.