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Groundwater Contaminant Transport: Prediction Under Uncertainty, With Application to the MADE Transport Experiment
Roma Tre Univ, Dept Engn, Rome, Italy..
Roma Tre Univ, Dept Engn, Rome, Italy..
Univ Trento, Dept Civil Environm & Mech Engn, Trento, Italy..
KTH, School of Architecture and the Built Environment (ABE), Sustainable development, Environmental science and Engineering, Resources, Energy and Infrastructure.
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2019 (English)In: FRONTIERS IN ENVIRONMENTAL SCIENCE, ISSN 2296-665X, Vol. 7, article id 79Article in journal (Refereed) Published
Abstract [en]

Transport of solutes in porous media at the laboratory scale is governed by an Advection Dispersion Equation (ADE). The advection is by the fluid velocity U and dispersion by D-dL = U alpha(dL), where the longitudinal dispersivity alpha(dL) is of the order of the pore size. Numerous data revealed that the longitudinal spreading of plumes at field scale is characterized by macrodispersivity alpha(L), larger than alpha(dL) by orders of magnitude. This effect is attributed to heterogeneity of aquifers manifesting in the spatial variability of the logconductivity Y. Modeling Y as a stationary random field and for mean uniform flow (natural gradient), alpha(L) could be determined in an analytical form by a first order approximation in sigma(2)(Y) (variance of Y) of the flow and transport equations. Recently, models and numerical simulations for solving transport in highly heterogeneous aquifers (sigma(2)(Y) > 1), primarily in terms of the mass arrival (the breakthrough curve BTC), were advanced. In all cases ergodicity, which allows to exchange the unknown BTC with the ensemble mean, was assumed to prevail for large plumes, compared to the logconductivity integral scale. Besides, the various statistical parameters characterizing the logconductivity structure as well as the mean flow were assumed to be known deterministically. The present paper investigates the uncertainty of the non-ergodic BTC due to the finiteness of the plume size as well as due to the uncertainty of the various parameters on which the BTC depends. By the use of a simplified transportmodel we developed in the past (which led to accurate results for ergodic plumes), we were able to get simple results for the variance of the BTC. It depends in an analytical manner on the flow parameters as well as on the dimension of the initial plume relative to the integral scale of logconductivity covariance. The results were applied to the analysis of the uncertainty of the plume spatial distribution of the MADE transport experiment. This was achieved by using the latest, recent, analysis of the MADE aquifer conductivity data.

Place, publisher, year, edition, pages
Frontiers Media S.A., 2019. Vol. 7, article id 79
Keywords [en]
solute transport, heterogeneous porous formations, breakthrough curve (BTC), uncertainty, MADE experiment, stochastic subsurface hydrology
National Category
Civil Engineering
Identifiers
URN: urn:nbn:se:kth:diva-254506DOI: 10.3389/fenvs.2019.00079ISI: 000470794200001OAI: oai:DiVA.org:kth-254506DiVA, id: diva2:1337439
Note

QC 20190715

Available from: 2019-07-15 Created: 2019-07-15 Last updated: 2019-07-15Bibliographically approved

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