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Analysis of CT-Measured Pore Characteristics of Porous Media Relative to Physical Properties

机译:相对于物理性质的多孔介质CT测量孔隙特征分析

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Understanding variability of porous media is important for initiating land management strategies. Objectives were to determine variability of computed tomography (CT)-measured pore characteristics and physical properties of porous media and combine these into principal components (PCs). Core samples were collected from three sites: silvopasture with vegetative buffers (SPBF), watersheds with vegetative buffers (PW), and crop management and prairie management (MP). Soil bulk density ( BD ), saturated hydraulic conductivity ( K s ) and CT-measured pore characteristics were analyzed under buffers and management practices at SPBF; buffer and crop management practices at PW; and native prairie, restored prairie, conservation program, and crop rotation at the MP location. Measured data sets were combined by location for correlation analysis, descriptive statistics, variability analysis, principal component analysis (PCA), and discriminant analysis. Coefficients of variation (CV) showed numbers of pores, macroporosity, mesoporosity and K s were most variable (CV 0.35), whereas circularity, BD and silt content were least variable (CV 0.15). The PCA grouped ten pore characteristics and physical properties into three PCs: porosity, water transport and texture. Redundancy analysis showed the soil porosity PC and pore numbers as the most dominant properties at all locations. Results indicate that establishment of vegetative buffers improves porosity.
机译:了解多孔介质的变异性对于启动土地管理策略很重要。目的是确定计算机断层扫描(CT)测量的多孔介质的孔特征和物理特性的变异性,并将其组合为主要成分(PC)。核心样品是从三个地点采集的:带有营养缓冲液的森林牧草场(SPBF),带有营养缓冲液的流域(PW),作物管理和大草原管理(MP)。在SPBF缓冲液和管理措施下,分析了土壤容重(BD),饱和导水率(K s)和CT测量的孔隙特征。 PW的缓冲和作物管理实践;和本地草原,恢复的草原,保护计划以及MP所在地的农作物轮作。将测量数据集按位置进行组合,以进行相关性分析,描述性统计,变异性分析,主成分分析(PCA)和判别分析。变异系数(CV)显示孔数,大孔,中孔和K s变化最大(CV> 0.35),而圆形度,BD和淤泥含量变化最小(CV <0.15)。 PCA将十个孔隙特征和物理特性分为三台PC:孔隙度,水传输和质地。冗余分析表明,土壤孔隙度PC和孔数是所有位置的最主要属性。结果表明,建立营养缓冲液可以改善孔隙度。

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