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GIS-Based Spatial Analysis Coupled with Geophysical Imaging to Identify and Evaluate Factors that Control the Formation of Karst Sinkholes in Southwestern Missouri

机译:基于GIS的空间分析与地球物理成像相结合,以识别和评估控制西南密苏里州喀斯特污水池形成的因素

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摘要

Sinkholes are inherent features of the karst terrain underlying much of Greene County, Missouri. These features present hazards and engineering challenges to existing infrastructure unknowingly constructed on a seemingly benign ground surface. The primary objective of this research was to investigate the physical processes chiefly responsible for triggering the seemingly random distribution of sinkholes in the study area. This research employed an integrated approach encompassing regional scale GIS-based spatial analyses and site-specific geophysical data. GIS-based spatial analysis was employed to identify significant physical factors that appeared to influence the formation and distribution of sinkholes. Seven out of the twelve most cited factors influencing sinkhole development were identified in the study area. These factors were: overburden thickness, depth-to-groundwater, slope of the ground surface, distance to the nearest water course, distance to the nearest geologic structures, distance to nearest springs, and distance to the nearest roads. In the site-specific geophysical investigations, two dimensional (2D) and pseudo three dimensional (3D) - ERT, MASW, and borehole data were used to characterize the subsurface morphology of the karstified soil-bedrock interface in five selected sinkholes. From the interpretation of the 2D and pseudo 3D-ERT profiles, it was determined that four of the five sinkholes occurred at the intersections of regional systematic joint sets. The joint sets are characterized by a linear, visually prominent zones of low resistivity. The relatively low resistivity values are attributed to vertical seepage and the associated piping of fine-grained soils through preexisting fractures (often widened by solutioning).
机译:污水池是密苏里州格林县大部分地区的岩溶地形的固有特征。这些功能给在不知不觉中建在貌似良性的地面上的现有基础架构带来了危害和工程挑战。这项研究的主要目的是研究导致研究区域内似乎随机分布的坑洞的物理过程。这项研究采用了一种综合方法,其中包括基于区域规模GIS的空间分析和特定地点的地球物理数据。基于GIS的空间分析被用来识别可能影响污水坑形成和分布的重要物理因素。在研究区域中,发现了十二个被引用最多的影响沉降坑发育的因素中的七个。这些因素是:上覆层厚度,地下水深度,地表坡度,到最近的水道的距离,到最近的地质结构的距离,到最近的泉水的距离以及到最近的道路的距离。在特定地点的地球物理研究中,使用二维(2D)和伪三维(3D)-ERT,MASW和钻孔数据来表征五个选定的溶洞中的喀斯特化土壤-基岩界面的地下形态。通过对2D和伪3D-ERT剖面的解释,可以确定五个沉陷中的四个出现在区域系统联合集的相交处。接头组的特点是线性,视觉上突出的低电阻率区域。相对较低的电阻率值归因于垂直渗流以及通过预先存在的裂缝(通常通过固溶而扩大)的细粒土壤的相关管道。

著录项

  • 作者

    Kidanu, Shishay Tadios.;

  • 作者单位

    Missouri University of Science and Technology.;

  • 授予单位 Missouri University of Science and Technology.;
  • 学科 Geological engineering.;Geographic information science and geodesy.;Geophysics.
  • 学位 Ph.D.
  • 年度 2018
  • 页码 84 p.
  • 总页数 84
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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