Groundwater Lowering in Construction

Cashman, P.M.; Preene, Martin

doi:10.4324/9780203476321

Cited by 42 publications

(32 citation statements)

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“…R depends on the aquifer hydraulic conductivity, and it increases as K increases. There are many empirical formulas that provide an estimation of the influence radius R. Among them, one of the most used is the Sichardt formula [23]: Sichardt's formula applied with too much high drawdown values can lead to unreasonable results. R values lower than 30 m and higher than 5000 m should also be considered with caution.…”

Section: Theorymentioning

confidence: 99%

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Hydraulic Conductivity Estimation Using Low-Flow Purging Data Elaboration in Contaminated Sites

Filippi

Iacurto

Ferranti

et al. 2020

Water

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Hydrogeological characterization is required when investigating contaminated sites, and hydraulic conductivity is an important parameter that needs to be estimated. Before groundwater sampling, well water level values are measured during low-flow purging to check the correct driving of the activity. However, these data are generally considered only as an indicator of an adequate well purging. In this paper, water levels and purging flow rates were considered to estimate hydraulic conductivity values in an alluvial aquifer, and the obtained results were compared with traditional hydraulic conductivity test results carried on in the same area. To test the applicability of this method, data coming from 59 wells located in the alluvial aquifer of Malagrotta waste disposal site, a large area of 160 ha near Rome, were analyzed and processed. Hydraulic conductivity values were estimated by applying the Dupuit’s hypothesis for steady-state radial flow in an unconfined aquifer, as these are the hydraulic conditions in pumping wells for remediation purposes. This study aims to show that low-flow purging procedures in monitoring wells—carried out before sampling for groundwater characterization—represent an easy and inexpensive method for soil hydraulic conductivity estimation with good feasibility, if correctly carried on.

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Section: Theorymentioning

confidence: 99%

“…The value 3000 is a constant used when pumping is carried out in a single well. This constant ranges from 1500 to 3000 relating to the pumping system (single or multi-well) [23,24]. However, this parameter is irrelevant when estimating K, as results affect its variability (1500-3000 m) only by 1%-2%.…”

Section: Theorymentioning

confidence: 99%

Hydraulic Conductivity Estimation Using Low-Flow Purging Data Elaboration in Contaminated Sites

Filippi

Iacurto

Ferranti

et al. 2020

Water

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“…Once drawdown was computed numerically, pumping settlements were calculated by applying the following equation (Cashman and Preene, 2001): where ρ i is the settlement of layer i, γ W is the specific weight of the water, s i is the drawdown at each layer i, which is expressed in meters of water column, D i is the thickness of layer i and α i is the soil compressibility. α i was derived from the storage coefficient of each layer (S i ), taking into account that the soil is preconsolidated in the study site and behaves elastically (Vázquez-Suñé et al, 2004;Serrano-Juan et al, 2016).…”

Section: Calculation Of the Pumping Settlements (Numerical Model And mentioning

confidence: 99%

Leveling vs. InSAR in urban underground construction monitoring: Pros and cons. Case of la sagrera railway station (Barcelona, Spain)

Serrano-Juan

Pujades

Vàzquez-Suñé

et al. 2017

Engineering Geology

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Monitoring is required when dewatering underground construction sites to anticipate unexpected events and preserve nearby existing structures and/or buildings. The most accurate and widespread monitoring method to measure displacements is leveling, a point-like surveying technique that typically allows for tens of discrete in situ sub-millimeter measures per squared kilometer. Another emerging technique for mapping soil deformation is the interferometric synthetic aperture radar (InSAR) method, which is based on SAR images acquired from orbiting satellites. This remote sensing technique can provide better spatial point density than leveling, more extensive spatial coverage and lower-cost acquisitions. This paper analyses, compares and discusses leveling and advanced multi-temporal InSAR measurements when they are used to measure the soil deformation induced by the dewatering associated with underground constructions in urban areas. This comparison, which has not been considered in previous works, is of paramount importance to ascertain the most suitable technique (or combination of techniques) in these contexts. To do so, an experiment was performed in the future railway station of La Sagrera, Barcelona (Spain), in which leveling and advanced multi-temporal InSAR were used to quantify ground deformation by dewatering. The results showed that soil displacements measured by leveling and InSAR were not always consistent. In the context of soil deformation measurements produced by dewatering in urban areas, InSAR measurements appear to be more accurate for investigating soil deformation, whereas leveling was more appropriate for quantifying the real impact on the nearby buildings.

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“…This was particularly so for the hydraulic conductivity. In fact, while at field scale conductivity measurements provide an estimate of the horizontal hydraulic conductivity K h , those at laboratory-scale represent an estimate of the vertical conductivity K v , which is generally lower than the horizontal one (Campbell et al, 1990;Masch and Denny, 1996;Cashman and Preene, 2001;Kalbus et al, 2006;Vienken and Dietrich, 2011). Thus, to compare the conductivity K v (measured in the laboratory) with K h (measured in the field) we have rescaled the latter by the anisotropy coefficient: μ = K v /K h .…”

Section: Data Processingmentioning

confidence: 99%

On the dependence of the saturated hydraulic conductivity upon the effective porosity through a power law model at different scales

Fallico

Bartolo

Veltri

et al. 2016

Hydrological Processes

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Abstract:We study the scale dependence of the saturated hydraulic conductivity K s through the effective porosity n e by means of a newly developed power-law model (PLM) which allows to use simultaneously measurements at different scales. The model is expressed as product between a single PLM (capturing the impact of the dominating scale) and a characteristic function κ ⋆ accounting for the correction because of the other scale(s). The simple (closed form) expression of the κ ⋆ -function enables one to easily identify the scales which are relevant for K s . The proposed model is then applied to a set of real data taken at the experimental site of Montalto Uffugo (Italy), and we show that in this case two (i.e. laboratory and field) scales appear to be the main ones. The implications toward an important application (solute transport) in Hydrology are finally discussed.

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Groundwater Lowering in Construction

Cited by 42 publications

References 0 publications

Hydraulic Conductivity Estimation Using Low-Flow Purging Data Elaboration in Contaminated Sites

Hydraulic Conductivity Estimation Using Low-Flow Purging Data Elaboration in Contaminated Sites

Leveling vs. InSAR in urban underground construction monitoring: Pros and cons. Case of la sagrera railway station (Barcelona, Spain)

On the dependence of the saturated hydraulic conductivity upon the effective porosity through a power law model at different scales

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