A Comparison of Six Transport Models of the MADE-1 Experiment Implemented With Different Types of Hydraulic Data.

AMDE tracer test contaminant transport geostatistics heterogeneous aquifers model comparison

Journal

Water resources research
ISSN: 0043-1397
Titre abrégé: Water Resour Res
Pays: United States
ID NLM: 7501965

Informations de publication

Date de publication:
May 2021
Historique:
received: 03 09 2020
revised: 15 04 2021
accepted: 19 04 2021
entrez: 5 7 2021
pubmed: 6 7 2021
medline: 6 7 2021
Statut: ppublish

Résumé

Six conceptually different transport models were applied to the macrodispersion experiment (MADE)-1 field tracer experiment as a first major attempt for model comparison. The objective was to show that complex mass distributions in heterogeneous aquifers can be predicted without calibration of transport parameters, solely making use of structural and flow data. The models differ in their conceptualization of the heterogeneous aquifer structure, computational complexity, and use of conductivity data obtained from various observation methods (direct push injection logging, DPIL, grain size analysis, pumping tests and flowmeter). They share the same underlying physical transport process of advection by the velocity field solely. Predictive capability is assessed by comparing results to observed longitudinal mass distributions of the MADE-1 experiment. The decreasing mass recovery of the observed plume is attributed to sampling and no physical process like mass transfer is invoked by the models. Measures like peak location and strength are used in comparing the modeled and measured plume mass distribution. Comparison of models reveals that the predictions of the solute plume agree reasonably well with observations, if the models are underlain by a few parameters of close values: mean velocity, a parameter reflecting log-conductivity variability, and a horizontal length scale related to conductivity spatial correlation. The robustness of the results implies that conservative transport models with appropriate conductivity upscaling strategies of various observation data provide reasonable predictions of plumes longitudinal mass distribution, as long as key features are taken into account.

Identifiants

pubmed: 34219821
doi: 10.1029/2020WR028672
pii: WRCR25289
pmc: PMC8243996
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e2020WR028672

Informations de copyright

© 2021. The Authors.

Références

Ground Water. 2008 Mar-Apr;46(2):323-8
pubmed: 18307433
Ground Water. 2011 Sep-Oct;49(5):649-62
pubmed: 20860688
Ground Water. 2019 Jul;57(4):632-639
pubmed: 30381834

Auteurs

Alraune Zech (A)

Department of Earth Science Utrecht University The Netherlands.
Helmholtz Centre for Environmental Research - UFZ Leipzig Germany.

Sabine Attinger (S)

Helmholtz Centre for Environmental Research - UFZ Leipzig Germany.
Institute of Earth and Environmental Science-Geoecology University Potsdam Germany.

Alberto Bellin (A)

Department of Civil, Environmental and Mechanical Engineering University of Trento Trento Italy.

Vladimir Cvetkovic (V)

Department of Water Resources Engineering Royal Institute of Technology Stockholm Sweden.

Gedeon Dagan (G)

School of Mechanical Engineering Tel Aviv University Tel Aviv Israel.

Marco Dentz (M)

Institute of Environmental Assessment and Water Research (IDAEA) Spanish National Research Council Barcelona Spain.

Peter Dietrich (P)

Helmholtz Centre for Environmental Research - UFZ Leipzig Germany.
Center of Applied Geoscience University of Tübingen Tübingen Germany.

Aldo Fiori (A)

Department of Engineering Roma Tre University Rome Italy.

Georg Teutsch (G)

Helmholtz Centre for Environmental Research - UFZ Leipzig Germany.

Classifications MeSH