2015
DOI: 10.1016/j.jhydrol.2015.02.004
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Optimum experimental design of a monitoring network for parameter identification at riverbank well fields

Abstract: Keywords:Groundwater and surface water interactions Riverbank filtration Riverbed clogging Hydraulic conductivity MODFLOW s u m m a r y A steady-state flow regime in riverbank well fields is often violated by fluctuations in river stages and variations in groundwater extraction. In this study, a criterion of quasi-steady flow during filtration processes at riverbank well fields was introduced. Under the assumption of steady-state flow, an analytical approach for determining the key hydraulic parameters (aquife… Show more

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Cited by 16 publications
(8 citation statements)
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References 71 publications
(82 reference statements)
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“…Although numerous approaches (e.g., grain-size distribution analysis, Darcy's law-based in-stream tests, environmental tracer experiments, water balance techniques, integrated surfacegroundwater numerical modeling, etc.) have been widely applied to investigate the hydraulic properties of riverbed sediments (Cheong et al, 2008;Kalbus et al, 2006;Wang et al, 2015), the accurate estimation of riverbed K values remains a challenge. One of the challenging aspects of estimating riverbed K is associated with its high spatial and temporal variability across measurement scales due to heterogeneity in the riverbed sediments (Chen et al, 2010), scouring and depositional processes during flooding events (Dunkerley, 2008;Hatch et al, 2010), and diurnal and seasonal changes in stream flow temperature (Constantz, 1998).…”
Section: Introductionmentioning
confidence: 99%
“…Although numerous approaches (e.g., grain-size distribution analysis, Darcy's law-based in-stream tests, environmental tracer experiments, water balance techniques, integrated surfacegroundwater numerical modeling, etc.) have been widely applied to investigate the hydraulic properties of riverbed sediments (Cheong et al, 2008;Kalbus et al, 2006;Wang et al, 2015), the accurate estimation of riverbed K values remains a challenge. One of the challenging aspects of estimating riverbed K is associated with its high spatial and temporal variability across measurement scales due to heterogeneity in the riverbed sediments (Chen et al, 2010), scouring and depositional processes during flooding events (Dunkerley, 2008;Hatch et al, 2010), and diurnal and seasonal changes in stream flow temperature (Constantz, 1998).…”
Section: Introductionmentioning
confidence: 99%
“…As shown in Appendix A, water losses from the river during stationary groundwater flow periods are controlled by two hydraulic parameters expressed in length units. The first parameter, which is the streambed hydraulic resistance length, ΔL, characterizes the additional hydraulic resistance due to the bottom sediments of the river channel [36]. The length ΔL is expressed as follows:…”
Section: Discussionmentioning
confidence: 99%
“…Similar to many other optimizing efforts, the parameters are not independent [39], which makes the optimizing efforts more difficult, especially in the use of analytical methods [40]. The basic hydrogeology tells us that the cone of depression of the groundwater level will continually extend both in the vertical and horizontal dimensions when pumping, unless the aquifer could capture as much as water recharge relative to the water yield [41].…”
Section: Discussionmentioning
confidence: 99%