Untitled

Fiorotto, Virgilio; Caroni, Elpidio

doi:10.1023/a:1015744421033

Cited by 50 publications

(9 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Larger pore-scale dispersion smooths out details captured by hydrogeological site characterization for both large and small plumes. The role of a finite Péclet number in heterogeneous flows is to increase the rate of concentration variance destruction thus smoothing out the concentration field [Fiorotto and Caroni, 2002;Rubin, 2003;Caroni and Fiorotto, 2005]. This is observed in Figure 8 for a > 1.…”

Section: Resultsmentioning

confidence: 83%

The concept of comparative information yield curves and its application to risk‐based site characterization

Barros

Rubin

Maxwell

2009

Water Resources Research

View full text Add to dashboard Cite

[1] Defining rational and effective hydrogeological data acquisition strategies is of crucial importance as such efforts are always resource limited. Usually, strategies are developed with the goal of reducing uncertainty, but less often they are developed in the context of their impacts on uncertainty. This paper presents an approach for determining site characterization needs on the basis of human health risk. The main challenge is in striking a balance between reduction in uncertainty in hydrogeological, behavioral, and physiological parameters. Striking this balance can provide clear guidance on setting priorities for data acquisition and for better estimating adverse health effects in humans. This paper addresses this challenge through theoretical developments and numerical simulation. A wide range of factors that affect site characterization needs are investigated, including the dimensions of the contaminant plume and additional length scales that characterize the transport problem, as well as the model of human health risk. The concept of comparative information yield curves is used for investigating the relative impact of hydrogeological and physiological parameters in risk. Results show that characterization needs are dependent on the ratios between flow and transport scales within a risk-driven approach. Additionally, the results indicate that human health risk becomes less sensitive to hydrogeological measurements for large plumes. This indicates that under near-ergodic conditions, uncertainty reduction in human health risk may benefit from better understanding of the physiological component as opposed to a more detailed hydrogeological characterization.

show abstract

Section: Resultsmentioning

confidence: 83%

The concept of comparative information yield curves and its application to risk‐based site characterization

Barros

Rubin

Maxwell

2009

Water Resources Research

View full text Add to dashboard Cite

show abstract

“…We showed that the same mixing model is used for both the concentration variance evolution equation ( 7) and the concentration PDF evolution equation ( 4). This link was used to verify the new TIEM model (13) with the much simpler to handle variance equation. The verification was done by comparing an analytical solution of the variance equation (9), which depends on a mixing closure model, to two independent numerical models.…”

Section: Discussionmentioning

confidence: 99%

“…Such a distribution is short-tailed and therefore excludes the possibility of rare events. The first studies applying such a PDF framework to the transport in groundwater used a beta distribution, fully characterised by two parameters, to fit the concentration PDF in a non-Gaussian way [13]. But Srzic et al [14] concluded that beta-shaped PDF's only match the true PDF for low heterogeneities.…”

Section: Introductionmentioning

confidence: 99%

Building a Bridge from Moments to PDF's: A New Approach to Finding PDF Mixing Models

Schüler,

Suciu,

Knabner

et al. 2016

Preprint

View full text Add to dashboard Cite

Probability density function (PDF) methods are a promising alternative to predicting the transport of solutes in groundwater under uncertainty. They make it possible to derive the evolution equations of the mean concentration and the concentration variance, used in moment methods. A mixing model, also known as a dissipation model, is essential for both methods. Finding a satisfactory mixing model is still an open question and due to the rather elaborate PDF methods, a difficult undertaking. Both the PDF equation and the concentration variance equation depend on the same mixing model. This connection is used to find and test an improved mixing model for the much easier to handle concentration variance. Subsequently, this mixing model is transferred to the PDF equation and tested. The newly proposed mixing model yields significantly improved results for both variance modelling and PDF modelling.

show abstract

“…In view of these constraints, and other evidences emerging from the analysis of the evolution in time of the maximum concentration in the field scale tracer tests at Borden and Cape Cod, Fiori [2001] argued that the Beta distribution can be a good model for the concentration PDF. Numerical validation of this hypothesis has been provided in a few subsequent works [e.g., Fiorotto and Caroni, 2002;Tonina and Bellin, 2008]. A theoretical demonstration supporting the choice of the Beta distribution, based on a phenomenological equation resembling the conditions in which transport takes place in heterogeneous formations, has been proposed by Bellin and Tonina [2007].…”

Section: Concentration Probability Density Functionmentioning

confidence: 94%

Stochastic modeling of solute transport in aquifers: From heterogeneity characterization to risk analysis

Fiori

Bellin

Cvetković

et al. 2015

Water Resources Research

View full text Add to dashboard Cite

The article presents a few recent developments advanced by the authors in a few key areas of stochastic modeling of solute transport in heterogeneous aquifers. First, a brief review of the Lagrangian approach to modeling plumes longitudinal mass distribution and temporal (the breakthrough curve) mass arrival, is presented. Subsequently, transport in highly heterogeneous aquifers is analyzed by using a recently developed predictive model. It relates the non-Gaussian BTC to the permeability univariate pdf and integral scale, with application to the MADE field observations. Next, the approach is extended to transport of reactive solute, combinnig the effects of the random velocity field and multirate mass transfer on the BTC, with application to mass attenuation. The following topic is modeling of the local concentration field as affected by mixing and dilution due to pore scale dispersion. The results are applied to the analysis of concentration measurements at the Cape Cod field experiment. The last section incorporates the results of the preceding ones in health risk assessment by analyzing the impact of concentration prediction on risk uncertainty. It is illustrated by assessing the effect of identification of macrodispersivity from field characterization and transport modeling, upon the probability of health risk.

show abstract

Untitled

Cited by 50 publications

References 36 publications

The concept of comparative information yield curves and its application to risk‐based site characterization

The concept of comparative information yield curves and its application to risk‐based site characterization

Building a Bridge from Moments to PDF's: A New Approach to Finding PDF Mixing Models

Stochastic modeling of solute transport in aquifers: From heterogeneity characterization to risk analysis

Contact Info

Product

Resources

About