2015
DOI: 10.1002/2014wr016129
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Four‐dimensional electrical conductivity monitoring of stage‐driven river water intrusion: Accounting for water table effects using a transient mesh boundary and conditional inversion constraints

Abstract: This paper describes and demonstrates two methods of providing a priori information to the surface‐based time‐lapse three‐dimensional electrical resistivity tomography (ERT) problem for monitoring stage‐driven or tide‐driven surface water intrusion into aquifers. First, a mesh boundary is implemented that conforms to the known location of the water table through time, thereby enabling the inversion to place a sharp bulk conductivity contrast at that boundary without penalty. Second, a nonlinear inequality cons… Show more

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Cited by 39 publications
(44 citation statements)
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“…Differences among these microbiomes were due to relatively even proportions of homogenous and variable selection, with no evident seasonal trends in the balance between these processes. Our system is characterized by pronounced geomorphic heterogeneity in the subsurface environment that creates preferential flow paths for hydrologic mixing (Johnson et al, 2015). The presence of both homogeneous and variable selection may indicate spatial variation in surface water intrusion or local biogeochemical conditions across our sampling locations.…”
Section: Microbiome Assemblymentioning
confidence: 99%
“…Differences among these microbiomes were due to relatively even proportions of homogenous and variable selection, with no evident seasonal trends in the balance between these processes. Our system is characterized by pronounced geomorphic heterogeneity in the subsurface environment that creates preferential flow paths for hydrologic mixing (Johnson et al, 2015). The presence of both homogeneous and variable selection may indicate spatial variation in surface water intrusion or local biogeochemical conditions across our sampling locations.…”
Section: Microbiome Assemblymentioning
confidence: 99%
“…Differences among these microbiomes were due to relatively even proportions of 330 homogenous and variable selection, with no evident seasonal trends in the balance between these 331 processes. Our system is characterized by pronounced geomorphic heterogeneity in the 332 subsurface environment that creates preferential flow paths for groundwater-surface water 333 mixing (Johnson et al, 2015). The presence of both homogeneous and variable selection may 334 indicate spatial variation in surface water intrusion or local biogeochemical conditions across our 335 sampling locations (distributed parallel to the river across a distance of ~150m).…”
mentioning
confidence: 99%
“…Significant research has been performed on segments of the Hanford Reach, particularly in the 300 Area, to understand groundwater‐surface water interactions, and its influences on contaminant plume migration, and carbon and nitrogen cycling in the river corridor (Arntzen et al, ; Bao et al, ; Chen et al, , ; G. E. Hammond et al, ; G. E. Hammond & Lichtner, ; Johnson et al, ; Liu et al, , ; Ma et al, ; Rockhold, ; Stegen et al, ; Williams et al, ; Yabusaki et al, ; Zachara et al, , ; Zhou et al, ). Groundwater modeling studies have also been performed for the Columbia River Basin to evaluate regional aquifer resource (Ely et al, ; Heywood et al, ).…”
Section: Methodsmentioning
confidence: 99%
“…E. Hammond et al, 2011;G. E. Hammond & Lichtner, 2010;Johnson et al, 2015;Liu et al, 2015Liu et al, , 2017Ma et al, 2014;Rockhold, 2013;Stegen et al, 2016;Williams et al, 2008;Yabusaki et al, 2008;Zachara et al, 2013Zachara et al, , 2016Zhou et al, 2018). Groundwater modeling studies have also been performed for the Columbia River Basin to evaluate regional aquifer resource (Ely et al, 2014;Heywood et al, 2016).…”
Section: 1029/2018wr024193mentioning
confidence: 99%