PuSH - Publikationsserver des Helmholtz Zentrums München

Walcher, S. ; Altschuh, J. ; Schramm, K.-W. ; Mayer, S.*

Estimates in deterministic fate modelling of environmental chemicals.

Environ. Modell. Softw. 18, 929-936 (2003)
DOI
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
Ecological modelling is frequently confronted with the problem of unavailable parameters, or input data of poor quality. This makes the interpretation of the results difficult, and predictions questionable, unless the quality of the parameters is taken into account. In this paper, we propose a mathematical approach to address the problem of large parameter variability in deterministic models, and especially in linear compartmental models. The method is based on a classical comparison theorem for differential equations, and yields upper and lower estimates for solutions when upper and lower estimates for the model input functions are given. Such estimates may be checked against experimental data, and thus play a crucial role in verification or falsification of model predictions. Applications are presented with regard to fate modelling of environmental chemicals in a pond sediment.
Altmetric
Weitere Metriken?
[➜Einloggen]
Zusatzinfos bearbeiten [➜Einloggen]
Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Korrespondenzautor
Schlagwörter Compartmental system; Kamke's comparison principle; Diffusion; Partition coefficient; Nonylphenol; Ethinylestradiol
ISSN (print) / ISBN 1364-8152
e-ISSN 1873-6726
Zeitschrift Environmental Modelling and Software
Quellenangaben Band: 18, Heft: 10, Seiten: 929-936 Artikelnummer: , Supplement: ,
Verlag Elsevier
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Biomathematics and Biometry (IBB)
Institute of Ecological Chemistry (IOEC)