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A DATA STRUCTURE AND ASSOCIATED ALGORITHMS FOR ASSESSING DISPERSION IN COMPLEX GEOMETRY

机译:评估复杂几何中色散的数据结构和相关算法

摘要

A data structure with associated algorithms for representing and reconstructing contaminant transport in realistic complex geometries, e.g. in cities and around buildings, is described (160). The data structure has a pair of two-dimensional matrices compressed and extracted from three-dimensional matrices describing the transport and dispersion of contaminants in complex geometries using full-resolution, time-dependent computational fluid dynamics or compete and detailed experimental data (130). A first matrix (220, 320) has numerical values, in which continuous, monotone, gauge-invariant contours of the same value represent an edge of a family of contaminant clouds transported from one edge of the domain. A second matrix (250, 350) contains numerical values, in which continuous, monotone, gauge-invariant contours of the same value represent an opposite edge of a family of contaminant clouds transported from the other edge of the domain. The dual-matrix data structure may be used by overlapping the two matrices (440, 480) within the domain, and reading the areas between the two edge contours crossing at particular locations of interest.
机译:具有相关算法的数据结构,用于表示和重构实际复杂几何结构中的污染物传输,例如描述了在城市和建筑物周围(160)。数据结构具有一对二维矩阵,这些二维矩阵是从三维矩阵中压缩和提取的,这些二维矩阵使用全分辨率,时间相关的计算流体动力学或竞争性和详细的实验数据来描述复杂几何形状中污染物的传输和分散(130)。第一矩阵(220、320)具有数值,其中相同值的连续的,单调的,规范不变的轮廓表示从域的一个边缘传输的污染物云家族的边缘。第二矩阵(250、350)包含数值,其中相同值的连续的,单调的,规范不变的轮廓表示从域的另一边缘传输的污染物云家族的相对边缘。可通过在域内重叠两个矩阵(440、480),并读取在感兴趣的特定位置处相交的两个边缘轮廓之间的区域,来使用双矩阵数据结构。

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