Application of X-ray computed tomography for the analysis of soil micromorphology
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Notice bibliographique
Résumé
As a tool for the three-dimensional analysis of intact soil cores, X-ray computed tomography permits the quantification of soil voids characteristics above the micropore scale. The technique extends beyond the two dimensional perspective that has been the limitation of traditional soil thin section analysis, and unlike traditional, destructive laboratory analysis, is inclusive of both the interconnected and isolated fractions of the voids network. It is possible to quantify the frequency, spatial distribution, size, shape, and orientation of voids within a sample core, all of which reflect the interactions of soil forming factors. One previously unexplored phase of the methodology employed during the X-ray CT analysis of soils, is the influence of the method used to set final voxel size on the analysis of the resulting image models. Final voxel size can be established at three different stages: image acquisition, volume model reconstruction, or post-reconstruction re-sampling, The total % of detectable voids, and the distribution of voids by volume, were evaluated in ten three-dimensional models of the same volume space within a sample aggregate, each of which representing a different method used to set final voxel size. The results indicate that different methods used to set final voxel size do influence the quantification of soil voids, suggesting that it might not be possible to compare studies that used the same voxel size, but different methods for setting it. Of particular interest in this study is the influence of tillage management regimes on soil structure (total % of detectable voids, volume of voids, and atomic density of the solid phase). It is understood that management influences soil structure, and by association, the voids network. What is not clear is if those influences are characteristic of specific management regimes, or if the differences are quantifiable. The above-mentioned structural characteristics were evaluated in samples of medium textured soil from the University of Guelph Elora Research Station, representing a range of established long-term tillage regimes. The results do illustrate differences between treatments, suggesting that the tillage regimes might impart some characteristic changes to the soil structure. However, given the limited number of samples collected for this study, it is not possible to conclude that any of the observations are in fact characteristic of the tillage regime, only that it is possible to differentiate between samples based on those measurements. It is suggested that a second, more comprehensive study be undertaken, which evaluates more spatially and temporally distributed samples.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle