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Simulating preferential soil water flow and tracer transport using the Lagrangian Soil Water and Solute Transport Model

Sternagel, A.; Loritz, R.; Wilcke, W.; Zehe, E.

Abstract (englisch):
We propose an alternative model concept to represent rainfall-driven soil water dynamics and especially preferential water flow and solute transport in the vadose zone. Our LAST-Model (Lagrangian Soil Water and Solute Transport) is based on a Lagrangian perspective of the movement of water particles (Zehe and Jackisch, 2016) carrying a solute mass through the subsurface which is separated into a soil matrix domain and a preferential flow domain. The preferential flow domain relies on observable field data like the average number of macropores of a given diameter, their hydraulic properties and their vertical length distribution. These data may be derived either from field observations or by inverse modelling using tracer data. Parameterization of the soil matrix domain requires soil hydraulic functions which determine the parameters of the water particle movement and particularly the distribution of flow velocities in different pore sizes. Infiltration into the matrix and the macropores depends on their respective moisture state, and subsequently macropores are gradually filled. Macropores and matrix interact through diffusive mixing of water and solutes between the two flow domains, which again depends on their water content and matric potential at the considered depths.
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Verlagsausgabe §
DOI: 10.5445/IR/1000099611
Veröffentlicht am 06.11.2019
DOI: 10.5194/hess-23-4249-2019
Zitationen: 3
Web of Science
Zitationen: 3
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Geographie und Geoökologie (IFGG)
Institut für Wasser und Gewässerentwicklung (IWG)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2019
Sprache Englisch
Identifikator ISSN: 1027-5606, 1607-7938
KITopen-ID: 1000099611
Erschienen in Hydrology and earth system sciences
Verlag Copernicus Publications
Band 23
Heft 10
Seiten 4249-4267
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Vorab online veröffentlicht am 22.10.2019
Nachgewiesen in Scopus
Web of Science
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