Geostatistical analysis of ground‐penetrating radar data: A means of describing spatial variation in the subsurface
Geostatistical analysis of ground‐penetrating radar data: A means of describing spatial variation in the subsurface
复制标题
探地雷达数据的地统计分析：描述地下空间变化的一种方法
DOI：
--
复制
发表时间：
1998
期刊：
影响因子：
--
通讯作者：
R. Knight
中科院分区：
文献类型：
--
作者：
J. Rea;R. Knight
我们研究了使用探地雷达（GFR）作为表征地下非均质性的手段。雷达数据是在不列颠哥伦比亚省西南部被冰川三角洲沉积物覆盖的几个地点收集的。在对一个岩壁的研究中，对该岩壁的数字化照片和该岩壁的雷达图像进行的地质统计分析显示，从这两个数据集确定的最大相关方向和相关长度非常一致。其他二维（2 - D）雷达数据部分根据这些沉积单元的独特雷达外观划分为沉积建筑元素。以4个沉积单元为例，从雷达数据中获得半变分图，最大相关长度在0.5 ~ 4.8 m之间。在一组砾石和沙林上收集的三维雷达测量数据进行了分析，以确定古水流方向；在该方向上发现了4 m的相关长度。
We have investigated the use of ground‐penetrating radar (GFR) as a means of characterizing the heterogeneity of the subsurface. Radar data were collected at several sites in southwestern British Columbia underlain by glaciodeltaic sediments. A cliff face study was conducted in which geostatistical analysis of a digitized photograph of the face and the radar image of the face showed excellent agreement in the maximum correlation direction and the correlation length determined from these two data sets. Other two‐dimensional (2‐D) sections of radar data were divided into sedimentary architectural elements on the basis of the distinct radar appearance of these sedimentary units. Examples of four sedimentary units were used to obtain semivariograms from the radar data and resulted in maximum correlation lengths between 0.5 and 4.8 m. A 3‐D radar survey, collected over a package of gravel and sand foresets, was analyzed to determine the paleoflow direction; a correlation length of 4 m was found in that direction.