Unbiased identification of nonlinear sorption characteristics by soil column breakthrough experiments

Beitrag in einer Fachzeitschrift
(Originalarbeit)


Details zur Publikation

Autor(en): Knabner P, Igler BA, Totsche KU, DuChateau P
Zeitschrift: Computational Geosciences
Verlag: Springer Verlag (Germany)
Jahr der Veröffentlichung: 2005
Band: 9
Heftnummer: 4
Seitenbereich: 203-217
ISSN: 1420-0597


Abstract


Accurate identification of interactions of reactive solutes with porous media constituents is necessary for reliable risk assessment studies and the development of efficient sanitation strategies. Standard parameter estimation procedures bear a number of unsolved problems with respect to uniqueness and identifiability. This paper presents a new approach for the identification of nonlinear interaction parameters of column outflow experiments. The procedure requires no a priori assumptions on the shape of the underlying interaction process functions. Employing experimental data sets on cadmium and anthracene breakthrough as case studies, possible applications of the new approach will be shown, and its features will be discussed. Error analysis based on singular value decomposition of the sensitivity matrix quantifies the identification error. Identification procedures without a priori shape information are superior to fixed parametrizations in diagnostic investigations, especially in cases without reliable a priori knowledge on the sorptive interactions. © Springer 2006.



FAU-Autoren / FAU-Herausgeber

Knabner, Peter Prof. Dr.
Lehrstuhl für Angewandte Mathematik


Autor(en) der externen Einrichtung(en)
Colorado State University
Technische Universität München (TUM)


Zitierweisen

APA:
Knabner, P., Igler, B.A., Totsche, K.U., & DuChateau, P. (2005). Unbiased identification of nonlinear sorption characteristics by soil column breakthrough experiments. Computational Geosciences, 9(4), 203-217. https://dx.doi.org/10.1007/s10596-005-9008-0

MLA:
Knabner, Peter, et al. "Unbiased identification of nonlinear sorption characteristics by soil column breakthrough experiments." Computational Geosciences 9.4 (2005): 203-217.

BibTeX: 

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