Probabilistic outlier detection for sparse multivariate geotechnical site investigation data using Bayesian learning

Various uncertainties arising during acquisition process of geoscience data may result in anomalous data instances(i.e.,outliers)that do not conform with the expected pattern of regular data instances.With sparse multivariate data obtained from geotechnical site investigation,it is impossible to identify outliers with certainty due to the distortion of statistics of geotechnical parameters caused by outliers and their associated statistical uncertainty resulted from data sparsity.This paper develops a probabilistic outlier detection method for sparse multivariate data obtained from geotechnical site investigation.The proposed approach quantifies the outlying probability of each data instance based on Mahalanobis distance and determines outliers as those data instances with outlying probabilities greater than 0.5.It tackles the distortion issue of statistics estimated from the dataset with outliers by a re-sampling technique and accounts,rationally,for the statistical uncertainty by Bayesian machine learning.Moreover,the proposed approach also suggests an exclusive method to determine outlying components of each outlier.The proposed approach is illustrated and verified using simulated and real-life dataset.It showed that the proposed approach properly identifies outliers among sparse multivariate data and their corresponding outlying components in a probabilistic manner.It can significantly reduce the masking effect(i.e.,missing some actual outliers due to the distortion of statistics by the outliers and statistical uncertainty).It also found that outliers among sparse multivariate data instances affect significantly the construction of multivariate distribution of geotechnical parameters for uncertainty quantification.This emphasizes the necessity of data cleaning process(e.g.,outlier detection)for uncertainty quantification based on geoscience data.     

Landfill site selection by using geographic information systems

One of the serious and growing potential problems in most large urban areas is the shortage of land for waste disposal. Although there are some efforts to reduce and recover the waste, disposal in landfills is still the most common method for waste destination. An inappropriate landfill site may have negative environmental, economic and ecological impacts. Therefore, it should be selected carefully by considering both regulations and constraints on other sources. In this study, candidate sites for an appropriate landfill area in the vicinity of Ankara are determined by using the integration of geographic information systems and multicriteria decision analysis (MCDA). For this purpose, 16 input map layers including topography, settlements (urban centers and villages), roads (Highway E90 and village roads), railways, airport, wetlands, infrastructures (pipelines and power lines), slope, geology, land use, floodplains, aquifers and surface water are prepared and two different MCDA methods (simple additive weighting and analytic hierarchy process) are implemented to a geographical information system. Comparison of the maps produced by these two different methods shows that both methods yield conformable results. Field checks also confirm that the candidate sites agree well with the selected criteria.     

Geoenvironmental site investigation using different techniques in a municipal solid waste disposal site in Brazil

Different geoenvironmental site investigation techniques to assess contamination from a municipal solid waste disposal site in Brazil are presented here. Superficial geophysical investigation (geoelectrical survey), resistivity piezocone penetration tests (RCPTU), soil samples collected with direct-push samplers and water samples collected from monitoring wells were applied in this study. The application of the geoelectrical method was indispensable to identify the presence and flow direction of contamination plumes (leachate) as well as to indicate the most suitable locations for RCPTU tests and soil and water sampling. Chemical analyses of groundwater samples contributed to a better understanding of the flow of the contaminated plume. The piezocone presented some limitations for tropical soils, since the groundwater level is sometimes deeper than the layer which is impenetrable to the cone, and the soil genesis and unsaturated conditions affect soil behavior. The combined interpretation of geoelectrical measurements and soil and water samplings underpinned the interpretation of RCPTU tests. The interpretation of all the test results indicates that the contamination plume has already overreached the landfill’s west-northwest borders. Geoenvironmental laboratory test results suggest that contamination from the solid waste disposal site has been developing gradually, indicating the need for continuous monitoring of the groundwater.     

Bayesian approach for calibrating transformation model from spatially varied CPT data to regular geotechnical parameter

Cone Penetration Test (CPT) is widely utilized to gain regular geotechnical parameters such as compression modulus, cohesion coefficient and internal friction angle by transformation model in the site investigation. However, it is challenging to obtain simultaneously the unknown coefficients and error of a transformation model, given the intrinsic uncertainty (i.e., spatial variability) of geomaterial and the epistemic uncertainty of geotechnical investigation. A Bayesian approach is therefore proposed calibrating the transformation model based on spatial random field theory. The approach consists of three key elements: (1) three-dimensional anisotropic spatial random field theory; (2) classifications of measurement and error, and the uncertainty propagation diagram of geotechnical investigation; and (3) the unknown coefficients and error calibration of the transformation model given Bayesian inverse modeling method. The massive penetration resistance data from CPT, which is denoted as a spatial random field variable to account for the spatial variability of soil, are classified as type A data. Meanwhile, a few laboratory test data such as the compression modulus are defined as type B data. Based on the above two types of data, the unknown coefficients and error of the transformation model are inversely calibrated with consideration of intrinsic uncertainty of geomaterial, epistemic uncertainties such as measurement errors, prior knowledge uncertainty of transformation model itself, and computing uncertainties of statistical parameters as well as Bayesian method. Baseline studying indicates the proposed approach is applicable to calibrate the transformation model between CPT data and regular geotechnical parameter within spatial random field theory. Next, the calibrated transformation model was compared with classical linear regression in cross-validation, and then it was implemented at three-dimensional site characterization of the background project.     

岩土工程监测信息管理与数据分析网络系统开发及应用

针对目前水电边坡工程海量的监测信息和监测数据,为减轻监测信息管理与数据分析的劳动强度,提高劳动生产率,采用Microsoft Visual C++网络编程技术和SQL Server网络数据库开发出具有先进性、可靠性、通用性和可扩充性的岩土工程安全监测信息管理与数据分析远程可视化网络系统。将该系统应用于龙滩水电站大坝左、右岸边坡及导流洞监测资料的分析处理,实现了监测信息和数据的远程实时共享及网络化的管理和分析,使监测分析成果能够及时、准确地反馈给设计人员,对规避设计和施工风险、保证边坡施工和运行安全起到了重要的作用。     

Geologic site conditions and site coefficients for estimating earthquake ground motions in the inland areas of Korea

Site characterization and site-specific ground response analyses were conducted at two representative inland areas in Korea. In situ tests included 25 boring investigations, 7 crosshole tests, 18 downhole tests and 41 SASW tests, and in the laboratory, resonant column tests were performed. The soil deposits in Korea, which were shallower and stiffer than those in the western US, were examined. The fundamental site periods were distributed in the narrow band ranging from 0.1 to 0.4 s. Most sites were designated as site classes C and D based on the mean shear wave velocity of the upper 30 m from the current Korean seismic design guide. Based on the ratio of the acceleration response spectra of ground surface to rock-outcrop, short-period (0.1–0.5 s) site coefficient, F_a ranged from 1.0 to 2.7, and mid-period (0.4–2.0 s) site coefficient, F_v ranged from 1.0 to 1.6, regardless of the input rock outcrop acceleration levels of 0.05 and 0.14 g. The site coefficients specified in the Korean seismic design guide, which is similar to NEHRP provisions and UBC, underestimate the ground motion in the short-period band and overestimate the ground motion in the mid-period band. These differences can be explained by the differences in the depth to bedrock and the soil stiffness profile between Korea and western US. Also, the site coefficients should be re-evaluated accounting for the local geologic conditions on the Korean peninsula.     

LISP for CAD与岩土工程勘察平面图处理

根据岩土工程勘察平面图绘制及处理的特点,分析了由勘察技术人员采用Lispfor CAD语言编写勘察平面图处理软件的优势。并举实例说明这种方法不仅可提高绘图质量和速度,而且具有实时纠错、自动统计及生成数据等处理功能。     

长白山民用机场飞行区、地坪区、灯光带岩土工程条件分析

通过对长白山民用机场飞行区、地坪区、灯光带的岩土工程的详勘工作,综合分析原位测试、室内试验、载荷试验等各类试验成果,对场区工程地质条件进行了勘查。     

A solid waste disposal site selection procedure based on groundwater vulnerability mapping

In this study, a new, GIS-based solid waste site selection tool (DUPIT) is introduced to obtain a systematic and unbiased methodology during the evaluation phases of alternative solid waste disposal areas with regards to vulnerability to groundwater pollution. The proposed tool is an index technique based on the linear combination of five different hydrogeological parameters including Depth to groundwater table, Upper layer lithology, Permeability of the unsaturated zone, Impermeable layer thickness and Topographic slope. Five different categories are developed to classify each alternative based on the suitability of the site for a solid waste disposal area. As a result, each site is ranked according to the contamination risks for groundwater resources. The proposed technique is applied to the District of Torbali near Izmir, Turkey to determine the most appropriate solid waste disposal site location. The Torbali application is implemented by using a GIS database developed for the area. Based on the results of this application, the best alternative solid waste disposal site for Torbali is selected to be located in the northern portions of the city where the groundwater table is deep, the permeability is low and the topographic slope is mild.     

Hybrid spatial data mining methods for site selection of emergency response centers

Traditional methods for site selection fail to give reasonable weight to the potential risk grade of different locations. Consequently, site selection does not highlight locations with higher risk grades. Thus, a hybrid analytical method for the site selection of emergency response centers is proposed. First, spatial predicates are incorporated into emergency event analysis. These spatial predicates describe the spatial relationships between emergency locations and surrounding objects. A spatial data association mining method is then developed to identify the correlation rules that contain emergency information and geographical factors. Such rules act as the weight adding mechanism on different urban buildings, such that every spatial object is assigned a risk grade based on these rules. Furthermore, a simulated annealing algorithm is developed by incorporating the weight adding method to locate the optimal sites for emergency centers. A series of experiments is conducted, and the results demonstrate the efficiency of the proposed hybrid method.     

相关型岩土参数分析和选用

岩土参数与应力环境、沉积条件、风化程度和埋藏条件等因素相关,其统计值具有空间变异性和相关性,采用非相关型岩土统计参数进行岩土工程设计具有不经济性。通过分析岩土参数的变化规律及与其相关的主要因素,说明岩土参数可用深度或参数与地层顶面或底面的距离作为相关参数进行相关型判别,论述相关型参数的判定标准和相关型标准值的计算方法,采用图解法分析相关型参数多种取值方法的可靠性。以华南某核电厂常规岛地基和某变电站边坡为例,介绍了相关型岩土参数标准值经验公式在岩土设计优化中的应用。分析表明：具有规律性变化的岩土参数宜选择恰当的相关参数划分为相关型,相关参数可取参数与地层顶面或底面的距离,相关型岩土参数标准值可使岩土设计方案更具合理性和经济性。     

Optimization of site exploration program for improved prediction of tunneling-induced ground settlement in clays

Excessive settlement caused by tunneling during construction often damages adjacent infrastructures and utilities. Such excessive settlement can also present a challenge in the maintenance of subways during their operation. Thus, it is important to be able to accurately predict tunneling-induced settlement. The uncertainties in geotechnical parameters, however, can lead to either an overestimation or an underestimation of the tunneling-induced settlement. Such uncertainties can arise from many sources such as spatial variability, measurement error, and model error; in this paper, the focus is on the geotechnical parameters characterization from site exploration. The goal here is to determine an optimal level of site exploration effort so that effective predictions of the tunneling-induced settlement in clays can be achieved. To this end, a Monte Carlo simulation-based numerical model of site exploration is first established to generate artificial test data. Then, a series of parametric analyses are performed to investigate the relationship between the level of site exploration effort and the accuracy of the tunneling-induced ground settlement prediction. Through the assumed different levels of site exploration effort, statistics of soil parameters are estimated using the maximum likelihood method and the tunneling-induced ground settlement is then analyzed using the probabilistic method, and finally the effect of site exploration effort is assessed. The knowledge generated from this series of analyses is then used to develop the proposed framework for selecting an optimal site exploration program for improved prediction of the tunneling-induced ground settlement in clays. Examples are presented to illustrate the proposed framework and demonstrate its effectiveness and significance.     

浅谈野外施工现场机械设备管理

介绍了设备购置、使用和管理中应注意的问题,强调使用设备要规范化,设备维护要科学化,检查、检修经常化。     

设计企业电子资料管理与企业知识管理初探

本文阐述了设计企业对电子资料管理平台建设的认识和需求,以及电子资料库的建设和利用给企业知识积累带来的积极应用效果。     

模糊聚类在地层分析中的应用

传统上,对于依据原始资料进行地层的划分与合并往往依靠工程师个人的经验与习惯。引入了模糊聚类概念,提出了一种根据基本物理力学指标进行土层归并分类的合理方法,物理意义明确,计算简捷,具有普遍意义。还提出了一种用参数的变异系数来检验模糊聚类结果的方法,使模糊聚类的结果与统计参数对应起来,从而使验证结果满足规范的规定,保证了地层归并的合理性。     

我国大型岩土工程施工安全风险管理研究进展

在我国,以城市轨道交通、高速公路网建设、高速铁路网建设、重大水利工程建设等为代表的大型岩土工程具有尺度大、施工周期长、操作复杂和工程安全状况堪忧的特点。不同类型的安全事故持续不断,造成的经济损失和人员伤亡居高不下。概括总结了2010－2017年间我国大型岩土工程施工安全风险管理研究方面的主要进展,包括：（1）大型岩土工程施工安全风险管理重大科技项目、成果奖励、规范;（2）大型岩土工程施工安全风险分析与评估方法方面研究进展;（3）大型岩土工程施工安全风险监控与预警方面研究进展;（4）大型岩土工程施工安全风险管理信息化技术与平台方面研究进展;（5）大型岩土工程施工安全风险智能化分析与控制方面研究进展。基于我国大型岩土工程施工安全风险管理研究方面主要进展的分析,提出了我国大型岩土工程施工安全风险管理方面面临的新挑战：（1）定量化风险评估理论和技术的应用推广;（2）风险决策理论;（3）推行全过程安全风险管理计划;（4）构建岩土工程安全事故案例共享平台;（5）基于大数据挖掘技术的岩土工程参数分析与控制;（6）智慧岩土工程研究和建设。     

全国1:200 000数字地质图（公开版）空间数据库

全国1：200 000数字地质图空间数据库是基于目前中国唯一的、实测的、全国性的1：200 000区域地质调查成果,由全国多家单位共同完成的全国性基础地质学空间数据库之一。数据库在空间上包含1 163幅1：200 000地质图数据,覆盖整个国土范围的72%,包含MapGIS和ArcGIS两种格式,总数据量达到90 GB。数据库主要资料来源于1：200 000区域地质调查报告和地质图及矿产图,原始资料时间跨度从20世纪50年代中期到90年代初期。全国1：200 000数字地质图（公开版）空间数据库通过国家级验收,数据完整性、逻辑一致性、位置精度、属性精度、接缝精度均符合中国地质调查局制定的有关技术规定和标准的要求,质量优良可靠。全国1：200 000数字地质图空间数据库是国家空间数据的重要组成部分,为国民经济信息化提供数字化空间平台,为国家和省级各部门进行区域规划、地质灾害监测、地质调查、找矿勘查、宏观决策等提供信息服务。     

项目管理信息系统的实施

结合国家“十五”重点科技攻关计划“城市规划、建设、管理与服务数字化工程”项目,天津水泥工业设计研究院承担了其中的“勘察设计企业信息化应用软件示范应用”专题。两年来,院项目实施小组和软件公司遵照标准化、系统化和集成化的原则,共同搭建了“工程协同设计管理平台”。在软件功能上,实现了设计企业管理信息系统的主要功能;在软件技术上,采用了目前最流行的软件技术,结合现代项目管理方法,为设计企业提供了组态灵活,方便实用、具有良好扩展性及开放性的软件产品。目前,该系统已经在部分工程项目上全面运行,取得了预期的效果。     

岩土工程勘察中的质量控制探讨

本文阐述了岩土工程勘察成果质量的重要性,重点论述了岩土工程勘察工序流程的质量管理要点,这对于岩土工程勘察专业宏观管理到指导具有实际意义。     

岩土工程最小勘探数据量确定方法

准确地确定岩土设计参数统计特征值诸如均值、标准差是岩土工程可靠度分析与设计的重要前提。在满足岩土设计参数统计特征值计算精度条件下,文中提出了岩土工程最小勘探数据量的确定方法,定义了相对误差和相对变异性指标衡量岩土设计参数统计特征值计算准确性。系统地分析了静力触探试验数据量对砂土有效内摩擦角统计特征值计算精度的影响,并且根据相对误差和相对变异性指标确定了静力触探最小勘探数据量。研究结果表明,由静力触探试验间接估计砂土有效内摩擦角时均值相对误差较低,砂土有效内摩擦角相对变异性指标随静力触探试验数据量的增加而降低,即由认知不足引起的不确定性占总变异性的比值随静力触探试验数据量的增加而减小;当砂土有效内摩擦角容许相对变异性指标小于0.2时砂土有效内摩擦角在最大变异（COV=20%）与最小变异性（COV=5%）范围内,满足预定要求所需的最小静力触探试验数据量为10～100;若容许相对变异性指标小于0.3,所需的最小静力触探试验数据量为5～43。此外,间接估计岩土设计参数时经验回归模型不确定性对最小勘探数据量有显著影响。静力触探试验最小勘探数据量随经验回归模型不确定性的增大而增加,在确定岩土设计参数统计特征值时应尽量广泛收集勘探数据并选择精度较高的计算模型。