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- W766881364 abstract "A soil consists, simplified viewed, of matrix (mineral grains) and pores. The pores are filled with water or air, and they represent an extremely complex network, which has a great importance for transport processes. This structure can be regarded as self-similar within natural limits, and its dimension can be measured. For the work presented, thin sections from the Bt-horizon of a Luvisol were prepared. Images for different magnifications and resolutions, respectively, were taken with light and scanning electron microscopy. The image analysis measurements were performed using the system KS400 (ZeissVision), which allows the application of user-defined macros. The fractal dimension of the soil-pore interface (DS) as obtained in digital images was measured with the box counting and the dilation procedure. As the fractal dimension of a line was measured within a plain, 1<DS<2. The higher the values are, the higher is the complexity of the image. The values obtained are quite high, that is up to DS =1.935, which nearly approaches the Euclidean Dimension 2. With increasing magnification and resolution, respectively, DS is decreasing to DS =1.563. This finding can be interpreted as the difference between texture and structure. A fitting of two straight lines for the log-log plot of the adjusted data pool from all magnifications yields a crossover point for structuring elements of sizes of 5-17 µm. This corresponds to pore diameters, which can be derived from the main particle size of coarse silt (20-63 µm). The pore size distribution (psd) was measured with the morphological opening procedure. It was obtained from 0.1-1000 µm and shows a maximum at 1 µm diameter. From soil cores of the same horizon, retention and conductivity curves were obtained as well as the proportion of phases. The cumulated psd was compared with the retention curve. For pores smaller than about 20 µm, the retention curve shows a remarkable deviation from the pore size distribution indicating a higher amount of small pores. Possible reasons for this behaviour are discussed, as well as the relevance of the dimensions measured with image analysis for fitting parameters of the retention curve." @default.
- W766881364 created "2016-06-24" @default.
- W766881364 creator A5008781387 @default.
- W766881364 date "2022-02-20" @default.
- W766881364 modified "2023-09-30" @default.
- W766881364 title "Digitale Bildanalyse zur Messung fraktaler Eigenschaften der Bodenstruktur" @default.
- W766881364 doi "https://doi.org/10.53846/goediss-2375" @default.
- W766881364 hasPublicationYear "2022" @default.
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