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Application of a cellular automaton method to model the structure formation in soils under saturated conditions : A mechanistic approach

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Rupp, Andreas ; Guhra, Tom ; Meier, Andreas ; Prechtel, Alexander ; Ritschel, Thomas ; Ray, Nadja ; Totsche, Kai Uwe:
Application of a cellular automaton method to model the structure formation in soils under saturated conditions : A mechanistic approach.
In: Frontiers in Environmental Science. 7 (November 2019): 170.
ISSN 2296-665x

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Volltext Link zum Volltext (externe URL):
https://doi.org/10.3389/fenvs.2019.00170

Kurzfassung/Abstract

Soil functions are closely related to the structure of soil microaggregates. Yet, the mechanisms controlling the establishment of soil structure are diverse and partly unknown. Hence, the understanding of soil processes and functions requires the connection of the concepts on the formation and consolidation of soil structural elements across scales that are hard to observe experimentally. At the bottom level, the dynamics of microaggregate development and restructuring build the basis for transport phenomena at the continuum scale. By modeling the interactions of specific minerals and/or organic matter, we aim to identify the mechanisms that control the evolution of structure and establishment of stationary aggregate properties. We present a mechanistic framework based on a cellular automaton model to simulate the interplay between the prototypic building units of soil microaggregates quartz, goethite, and illite subject to attractive and repulsive electrostatic interaction forces. The resulting structures are quantified by morphological measures. We investigated shielding effects due to charge neutralization and the aggregate growth rate in response to the net system charge. We found that the fraction as well as the size of the interacting oppositely charged constituents control the size, shape, and amount of occurring aggregates. Furthermore, the concentration in terms of the liquid solid ratio has been shown to increase the aggregation rate. We further adopt the model for an assessment of the temporal evolution of aggregate formation due to successive formation of particle dimers at early stages in comparison to higher order aggregates at later …

Weitere Angaben

Publikationsform:Artikel
Sprache des Eintrags:Englisch
Institutionen der Universität:Mathematisch-Geographische Fakultät > Mathematik > Mathematisches Institut für Maschinelles Lernen und Data Science (MIDS)
Mathematisch-Geographische Fakultät > Mathematik > Lehrstuhl für Geomatik und Geomathematik
DOI / URN / ID:10.3389/fenvs.2019.00170
Open Access: Freie Zugänglichkeit des Volltexts?:Ja
Peer-Review-Journal:Ja
Verlag:Frontiers Media S.A.
Die Zeitschrift ist nachgewiesen in:
Titel an der KU entstanden:Nein
KU.edoc-ID:35097
Eingestellt am: 09. Mai 2025 11:41
Letzte Änderung: 09. Mai 2025 11:41
URL zu dieser Anzeige: https://edoc.ku.de/id/eprint/35097/
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