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Quantifying preferential flows in porous soils: An original imaging and image processing procedure

机译:量化多孔土壤中的优先流动:原始成像和图像处理程序

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With the increasing accessibility of image acquisition techniques, image processing has become an essential component of soil science. Here, Image Processing is specifically used to the accurate prediction of solute transport through soils. To do so, dye tracers are leeched into soil cores to visualize active flow paths in cross sections of soil. We have derived a cheap alternative, using off-the-shelf equipments, as compared to earlier experiments. We still managed to compensate for most of the images acquisition process noise and provided a simple yet correctly correlated data analysis and dye concentration estimation. We tested the method using a fluorescent dye (pyranine) in intact soil cores of a Mexican allophonic (volcanic) soil. The current application of this procedure is the estimation of the pharmaceutical compounds (mostly antibiotics) contamination of agricultural soils irrigated by waste water in the northern central region surrounding Mexico City.
机译:随着图像采集技术的日益普及,图像处理已成为土壤科学的重要组成部分。在此,图像处理专门用于精确预测溶质通过土壤的迁移。为此,将染料示踪剂浸入土壤芯中,以可视化土壤横截面中的有效流动路径。与早期的实验相比,我们使用现成的设备得出了一种廉价的替代方案。我们仍然设法补偿了大多数图像采集过程中的噪声,并提供了一个简单但正确相关的数据分析和染料浓度估算。我们在墨西哥异型(火山)土壤的完整土壤核心中使用荧光染料(吡喃)测试了该方法。该程序的当前应用是估算墨西哥城周围北部中部地区废水灌溉的农业土壤中的药物化合物(主要是抗生素)污染。

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