Details zur Publikation

Kategorie Textpublikation
Referenztyp Zeitschriften
DOI 10.1007/s00767-007-0019-8
Volltext Shareable Link
Titel (primär) Influence of heterogeneity and measurement error on the determination of first order degradation rates - a virtual aquifer scenario analysis
Autor Bauer, S.; Beyer, C.; Kolditz, O. ORCID logo
Quelle Grundwasser
Erscheinungsjahr 2007
Department ENVINF
Band/Volume 12
Heft 1
Seite von 3
Seite bis 14
Sprache englisch
Keywords natural attenuation; heterogeneity; first-order degradation rate; virtual aquifer; scenario analysis
Abstract The principal idea of the Virtual Aquifer is to simulate and evaluate monitoring strategies and remediation options for contaminated sites by modelling typical contamination scenarios. Here the determination of first order degradation rates is studied. A virtual reality is generated by simulating the spreading of a plume, originating from a defined source and subject to first order degradation. This plume is investigated using monitoring wells placed along the plume center line. From the information thus obtained, first order degradation rates are calculated by typically used methods and are then compared to the predefined value. This comparison is conducted for different degrees of heterogeneity. It is found that with increasing heterogeneity, the calculated degradation rates can overestimate the real degradation rate by several orders of magnitude and show a high uncertainty. Measurement errors are then introduced for piezometric head and concentration measurements. It is found that up to several orders of magnitude deviations can occur between the estimated first order rate constant and the true rate, with errors of the piezometric head measurement causing the dominant uncertainty
dauerhafte UFZ-Verlinkung https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=1637
Bauer, S., Beyer, C., Kolditz, O. (2007):
Influence of heterogeneity and measurement error on the determination of first order degradation rates - a virtual aquifer scenario analysis
Grundwasser 12 (1), 3 - 14 10.1007/s00767-007-0019-8