MétaCan
Menu
Retour à la cohorte
Enregistrement W2994257685 · doi:10.15414/afz.2016.19.02.68-73

Application of various methodological approaches for assessment of soil micromorphology due to VESTA program applicable to prediction of the soil structures formation

2016· article· en· W2994257685 sur OpenAlexaboutno aff
Marek Kolenčík, Vladimí­r Šimanský

Notice bibliographique

RevueActa fytotechnica et zootechnica/Acta fytotechnica et zootechnica · 2016
Typearticle
Langueen
DomaineMaterials Science
ThématiqueClay minerals and soil interactions
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésAggregate (composite)ExtrapolationSoil waterWeatheringComputer scienceSoil scienceEnvironmental scienceMineralogyBiological systemGeologyMathematicsStatisticsMaterials scienceGeochemistry

Résumé

récupéré en direct d'OpenAlex

Received: 2015-07-22 | Accepted: 2016-03-11 | Available online: 2016-05-30 dx.doi.org/10.15414/afz.2016.19.02.68-73 This work introduces concepts of methodological approach (theoretical investigation) in terms of soil structure analysis. The aim of this work is using VESTA program application as appropriate alternative to quantification of micromorphological analysis. This evaluation mainly with regarded to effects for soils structure at the interactions/ predictions with many aspects of aggregate destruction-stability-reactivity in soil system. This work elucidates different kind of methodological approaches such as implementation 2D micromorphological model, X-ray analysis and their extrapolation in VESTA program. There is some evidence that construct data and parameters gained from this program are suitable for other considerations. For these points is possible to assign of reaction kinetic, established minerals phase and genetic relationships in soil system, detect of potential transformation, mobilization and immobilization activity, distribution of elements species even by general and specific properties of aggregate forms. Detailed characterization (modeled design) of rocks and minerals inorganic particles of soil aggregate forms on the atomic level has significant importance due to detailed data examinations input. In the case of operation module could eliminate of influence various undetected (non-identify) factors and in additionally refine on standardize appropriate fitted the more realistic model. Keywords: methodological approach, micromorphology, X-ray analysis, VESTA design References BARKER, W. et al. (1998) Experimental observations of the effects of bacteria on aluminosilicate weathering. Am Mineral ., vol. 83, pp. 1551-1563. BRONICK, C.J. and LAL, R. (2005) The soil structure and land management: a review. Geoderma, vol. 124, no. 1-2, pp. 3-22. doi: http://dx.doi.org/10.1016/j.geoderma.2004.03.005 CARTER, M.R. and STEWART, B.A. (1996) Structure and organic matter storage in agricultural soils. Boca Raton: CRC/Lewis Publisher. Chenu, C. and Cosentino, D. (2011) Microbial regulation of Soil Structural Dynamics. In: RITZ, K. and Young, I. (eds.) The Architectural and Biology of Soils: Life in Inner Space. London: CAB International, pp. 259-272. ČURLÍK, J. (2011) Potentially toxic trace elements and their distribution in Slovakian soils . Bratislava: Suma print (in Slovak). ČURLÍK, J. and KOLESÁR, M. (2014) Inorganic carbon sequestration in autigenic carbonates and their distribution in soils on loess: micromorphological aspects. AGEOS , vol. 6, pp. 191-202 (in Slovak). Edwards, A.P. and Bremner, J.M. (1967) Microaggregates in soils. J Soil Sci. , vol. 18, pp. 64-73. GADD, G.M. (2007) Geomycology: biogeochemical transformations of rocks, minerals, metals and radionuclides by fungi, bioweathering and bioremediation. Mycol Res ., vol. 111, pp. 3-49. GONZÁLEZ, C. et al. (2007) Applying multivariate methods to soil–solution interactions in carbonate media. In. Geoderma , vol. 137, pp 352-359. Grosbellet, G. et al. (2011) Improvement of soil structure formation by degradation of coarse organic matter. Geoderma , vol. 162, pp. 27–38. doi: http://dx.doi.org/10.1016/j.geoderma.2011.01.003 Hu, F. et al. (2015) Particles interaction forces and their effects on soil aggregates breakdown. Soil Till. Res., vol. 147, pp. 1–9. doi: http://dx.doi.org/10.1016/j.still.2014.11.006 IUSS Working Group WRB (2006) World reference base for soil resources. World Soil Resources Reports no. 103 . Rome: FAO. Jozefaciuk, G. and Czachor, H. (2014) Impact of organic matter, iron oxides, alumina, silica and drying on mechanical and water stability of artificial soil aggregates. Assessment of new method to study water stability. Geoderma, vol. 221–222, pp. 1–10. doi: http://dx.doi.org/10.1016/j.geoderma.2014.01.020 JUMA, N.G. (1999) Pedosphere and its dynamics . Edmonton (Canada): Salman Productions Ins. KAY, B.D. (1998) Soil structure and organic carbon: a review. In: LAL, R. et al. (eds.) Soil Processes and the Carbon Cycle . Boca Raton: CRC Press, pp. 169-197. Kögel-Knabner, I. et al. (2008) An intergrative approach of organic matter stabilization in temperate soils: Linking chemistry, physics and biology. J Plant Nutr Soil Sci. , vol. 171, pp. 5-13. KOLENČÍK, M. et al. (2011) Biological and chemical leaching of arsenic and zinc from adamite. Chem Listy ., vol. 105, pp. 961-965. KUO, Y-M., et al. (2009) Apatite control of phosphorus release to runoff from soils of phosphate mine reclamation areas. Water Air Soil Pollut. , vol. 202, pp.189-198. Lal, R. and Shukla, M.K. (2004) Principles of soil physics . New York: Marcel Dekker. LI, G.Y. and FAN, H.M. (2014) Effect of Freeze-Thaw on Water Stability of Aggregates in a Black Soil of Northeast China . Pedosphere, vol. 24, pp. 285-290. doi: http://dx.doi.org/10.1016/S1002-0160(14)60015-1 MARKGRAF, S.A. and REEDER, R.J. (1985) High-temperature structure refinements of calcite and magnesite. Am Mineral ., vol. 70, pp. 590-600. MOMMA, K. and IZUMI, F. (2011) VESTA 3 for three-dimensional visualization of crystal, volumetric and morphology data. J Appl Crystallogr ., vol. 44, pp. 1272-1276. Morphogenetic Soil Classification System of Slovakia (2014) The basal reference taxonomy (in Slovak). Bratislava: Societa pedologica Slovaca, SSCRI. Paradelo R. et al. (2013) Water-dispersible clay in bare fallow soils after 80 years of continuous fertilizer addition. Geoderma , vol. 200-201, pp. 40-44. http://dx.doi.org/10.1016/j.geoderma.2013.01.014 PRINCE, E. et al. (1999) International tables for crystallography: International Union of Crystallography . Birmingham: Kynoch Press. Roger-Estrade, J. et al. (2010) Tillage and soil ecology: partners for sustainable agriculture. Soil Till Res., vol. 111, no. 1, pp. 33–40. doi: http://dx.doi.org/10.1016/j.still.2010.08.010 Santos, D. et al. (1997) Uniform separation of concentric surface layers from soil aggregates. Soil Sci Soc Am J ., vol. 61, pp. 720-724. doi: http://dx.doi.org/10.2136/sssaj1997.03615995006100030003x ŠIMANSKÝ, V. (2012) Assessment of soil structure under monoculture of vine. Roczniki Gleboznawce , vol. 63, no. 2, p. 42–45. doi: http://dx.doi.org/10.2478/v10239-012-0023-2 Šimanský, V. and Bajčan, D. (2014) The stability of soil aggregates and their ability of carbon sequestration. Soil & Water Res., vol. 9, no. 3, pp. 111-118. ŠIMANSKÝ, V. et al. (2013) The effect of organic matter on aggregation under different soil management practices in a vineyard in an extremely humid year. Catena, vol. 101, pp. 108-113. doi: http://dx.doi.org/10.1016/j.catena.2012.10.011 SOMASUNDARAN, J. et al. (1985) Mineral-solution equilibria in sparingly soluble mineral systems. Colloids Surf., vol. 15, pp. 309-333. ŠUCHA, V., et al. (1993) Smectite to illite conversion in bentonites and shales of the East Slovak Basin. Clay Miner. , vol. 28, pp. 243-243. TINDSAll, J.m. and OADES, j.m. (1982) Organic matter and water-stable aggregates in soils. Soil Sci ., vol. 33, pp. 141-163. WILSON, R. (1999) Rietveld refinement of the crystallographic structure of human dental enamel apatites. Am Mineral ., vol. 84, pp. 1406-1414.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,003
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,005
Score d'incertitude au seuil0,017

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,003
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0020,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,000
Charge utile insuffisante (le modèle a refusé de juger)0,0050,001

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.

Tête enseignante Opus0,097
Tête enseignante GPT0,363
Écart entre enseignants0,267 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2016
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueActa fytotechnica et zootechnica/Acta fytotechnica et zootechnicaMême sujetClay minerals and soil interactionsTravaux en français237 207