2015
DOI: 10.1002/2015wr017220
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Is unique scaling of aquifer macrodispersivity supported by field data?

Abstract: Spreading of conservative solutes in groundwater due to aquifer heterogeneity is quantified by the macrodispersivity, which was found to be scale dependent. It increases with travel distance, stabilizing eventually at a constant value. However, the question of its asymptotic behavior at very large scale is still a matter of debate. It was surmised in the literature that macrodispersivity scales up following a unique scaling law. Attempts to define such a law were made by fitting a regression line in the log‐lo… Show more

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Cited by 77 publications
(105 citation statements)
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“…The relationship between H R and the skewness is best described by a power‐law function. These results, which are valid for both high‐ K and low‐ K dominated aquifers, confirm the importance of a site specific characterization of the structure of the K field emphasized by the results of recent studies [e.g., Zech et al ., ; Bianchi and Zheng , ]. For a given degree of spatial disorder in the K field structure, the first three temporal moments of the distribution of arrival times increase with the variance σY2. While the dependency of the variance of the arrival times is not particularly sensitive to the structure of the K field, the values of the parameters in the empirical functions describing the relationship between σY2 and the skewness differ with respect to the degree of disorder, and therefore of H R . This result confirms that structural information is not sufficient to fully predict all the different features of transport behavior [e.g., Edery et al ., ; Tyukhova and Willmann , ]. Empirical expressions relating the skewness of the BTCs to the two parameters H R and σY2 (equation ) can provide reasonable predictions of Fickian and non‐Fickian transport behavior simply from knowledge of aquifer heterogeneity without fitting parameters.…”
Section: Discussionmentioning
confidence: 86%
“…The relationship between H R and the skewness is best described by a power‐law function. These results, which are valid for both high‐ K and low‐ K dominated aquifers, confirm the importance of a site specific characterization of the structure of the K field emphasized by the results of recent studies [e.g., Zech et al ., ; Bianchi and Zheng , ]. For a given degree of spatial disorder in the K field structure, the first three temporal moments of the distribution of arrival times increase with the variance σY2. While the dependency of the variance of the arrival times is not particularly sensitive to the structure of the K field, the values of the parameters in the empirical functions describing the relationship between σY2 and the skewness differ with respect to the degree of disorder, and therefore of H R . This result confirms that structural information is not sufficient to fully predict all the different features of transport behavior [e.g., Edery et al ., ; Tyukhova and Willmann , ]. Empirical expressions relating the skewness of the BTCs to the two parameters H R and σY2 (equation ) can provide reasonable predictions of Fickian and non‐Fickian transport behavior simply from knowledge of aquifer heterogeneity without fitting parameters.…”
Section: Discussionmentioning
confidence: 86%
“…Thus, macro-dispersivities D i = α i U , i ∈ {L, T , V }, are by orders of magnitude larger than the pore scale dispersivities values based on laboratory investigations, particularly the one characterizing longitudinal spreading of solutes α L α dL (see e.g., for a recent overview Zech et al [2015]). However, dispersion at the macro-scale is not the result of pore-scale processes but related to aquifer heterogeneity.…”
Section: Introductionmentioning
confidence: 88%
“…We summarize herein the main aspects of the reliability criteria, accounting for the differences between Gelhar et al (1992) and Zech et al (2015) for longitudinal dispersivity α L , by:…”
Section: Reliability Criteriamentioning
confidence: 99%
“…Zech et al () reanalyzed more than 50 dispersion studies from the literature in order to determine whether there is support for a unique scaling law where macrodispersivity would increase unbounded with scale. Their findings do not support the existence of such a relationship.…”
Section: Convergence To Macrodispersivitymentioning
confidence: 99%
“…The authors concluded that standard transport models with dispersivities based on stochastic theories can be used to simulate transport in complex hydrogeological systems. Zech et al (2015) reanalyzed more than 50 dispersion studies from the literature in order to determine whether there is support for a unique scaling law where macrodispersivity would increase unbounded with scale. Their findings do not support the existence of such a relationship.…”
Section: Convergence To Macrodispersivitymentioning
confidence: 99%