2013
DOI: 10.1016/j.jhydrol.2013.09.017
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Steady-state freshwater–seawater mixing zone in stratified coastal aquifers

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Cited by 143 publications
(124 citation statements)
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“…Lu et al [2011] also found that neglecting layered heterogeneity would lead to the overestimation of the toe penetration length, provided that the inland head boundary remained constant.…”
Section: Si In Heterogeneous Systemsmentioning
confidence: 93%
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“…Lu et al [2011] also found that neglecting layered heterogeneity would lead to the overestimation of the toe penetration length, provided that the inland head boundary remained constant.…”
Section: Si In Heterogeneous Systemsmentioning
confidence: 93%
“…Zeitoun [1998a, 1998b] evaluated heterogeneity effects on the interface position within randomly stratified aquifers (i.e., with horizontal structures), and found that neglecting layered heterogeneities introduced large uncertainty in estimates of the toe position, but had relatively minor influence on calculations of upconing under axisymmetric conditions. Lu et al [2011] demonstrated the mixing effects of stratified heterogeneities. They considered SI in a system with a low permeability aquifer layer overlying a higher-permeability layer, presenting results of laboratory experiments and numerical simulations.…”
Section: Si In Heterogeneous Systemsmentioning
confidence: 97%
“…Models for the mixing zone historically used a simple sharp interface (Verruijt 1968). Modern approximations are based on density-dependent miscible systems which account for variable density mixing zones (Abarca and Clement 2009;National Water Commission 2012;Diersch 2014;Lu 2011;Lu et al 2013;Werner et al 2013). The width of the mixing zone can be highly variable, from millimeters in laboratory-based experiments (Abarca and Clement 2009), to kilometers in field-scale examples.…”
Section: Background: the Seawater Interfacementioning
confidence: 99%
“…These authors rely on computational analyses performed on a single three-dimensional realization, invoking ergodic assumptions. Lu et al (2013) performed a set of laboratory experiments and numerical simulations to investigate the effect of geological stratification on SW-FW mixing. Riva et al (2015) considered the same setting as in Abarca et al (2007) and studied the way quantification of uncertainty 30 associated with SWI features is influenced by lack of knowledge of four key dimensionless parameters controlling the process, i.e.…”
mentioning
confidence: 99%