Physical Measurements in Subsurface Hydrology

Dane, J. H.; Molz, Fred J.

doi:10.1002/rog.1991.29.s1.270

Cited by 15 publications

(6 citation statements)

References 153 publications

(156 reference statements)

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“…Understanding the causes and magnitude of wellbore skin permits evaluation of effects and consideration of options to mitigate or quantitatively account for effects. Also, inclusion of values for skin improves our ability to get accurate formation parameters from hydrologic well tests (van Everdingen, 1953;Ramey, 1970;Faust and Mercer, 1984;Moench, 1984;1997;Dane and Molz, 1991;Molz et al, 1994;Butler, 1998;Young, 1998;Dinwiddie et al, 1999;Rovey and Niemann, 2001).…”

Section: Introductionmentioning

confidence: 97%

Field, laboratory, and modeling investigation of the skin effect at wells with slotted casing, Boise Hydrogeophysical Research Site

Barrash

Clemo

Fox

et al. 2006

Journal of Hydrology

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Section: Introductionmentioning

confidence: 97%

Field, laboratory, and modeling investigation of the skin effect at wells with slotted casing, Boise Hydrogeophysical Research Site

Barrash

Clemo

Fox

et al. 2006

Journal of Hydrology

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“…Most frequently, aquifer heterogeneity is explained by variability in the hydraulic conductivity, and laborious hydrogeologic investigations, which include permeameter tests, grain size analyses, borehole flowmeter tests, etc. [Sudicky, 1986;Molz et al, 1989;Boggs and Rehfeldt, 1991;Young, 1991], are performed to collect the required data (for a recent review on this topic, see Dane and Molz [1991]).…”

Section: Introductionmentioning

confidence: 99%

Characterization of aquifer heterogeneity by in situ sensing

Moltyaner¹,

Wills²

1993

Water Resources Research

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In analyzing groundwater flow and mass transport, most commonly the heterogeneity of a geologic formation is quantified by the field mapping of the hydraulic conductivity distribution. In this paper two alternative approaches are proposed. According to the first nonparametric approach, aquifer heterogeneity is characterized in terms of spatial variability in the concentration field generated in a natural-gradient tracer test with a high-energy gamma-emitting radiotracer. In situ sensing technology is used for mapping the concentration distribution, and collected concentration-versus-depth profiles are correlated to produce the local-scale geometric model of aquifer heterogeneities for further numerical groundwater flow and mass transport modeling. In the second parametric approach, heterogeneity is characterized in terms of spatial variability of the groundwater velocity rather than in terms of spatial variability of the hydraulic conductivity. Geostatistics is used to characterize the local-scale velocity variation in terms of velocity integral scales in three orthogonal directions, in the longitudinal (along the mean flow) and two transverse (across the flow) directions. The velocity correlation volume is estimated as 16.68 x 2 x 0.22 m. It defines the characteristic volume for the "field-scale" groundwater flow and mass transport modeling. It was concluded that the field mapping of aquifer structure by measuring concentrations and travel times of a radiotracer leads to a fundamentally new approach to the characterization of geologic heterogeneity and offers a reliable means for solving this complex problem of contemporary hydrogeology in quantitative terms.

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“…More sophisticated numerical models (e.g., LEACHM by Wagenet & Hutson, 1989;PRZM by Carsel et al, 1985; and others) require significantly more parameters or variables that are usually extremely difficult and time consuming to measure. A review of physical measurements currently in use to determine flow related properties of subsurface porous media is provided by Dane and Molz (1991). The measurement of the necessary transport parameters along with initial and boundary conditions constitute a considerable investment of time just to model a single point location.…”

Section: Measurement and Estimation Methodsmentioning

confidence: 99%

GIS Applications of Deterministic Solute Transport Models for Regional-Scale Assessment of Non-Point Source Pollutants in the Vadose Zone

Corwin

2015

SSSA Special Publications

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In recent years, worldwide attention has shifted from point source to non-point source (NPS) pollutants, particularly with regard to the pollution of surface and subsurface sources of drinking water. This is due to the widespread occurrence and potential chronic health effects of NPS pollutants. The ubiquitous nature of NPS pollutants poses a complex technical problem. The area1 extent of their contamination increases the complexity and sheer volume of data required for assessment far beyond that of typical point source pollutants. The spatial nature of the NPS pollution problem necessitates the use of a geographic information system (GIS) to manipulate, retrieve, and display the large volumes of spatial data. This chapter provides an overview of the components (i.e., spatial variability, scale dependency, parameter-data estimation and measurement, uncertainty analysis, and others) required to successfully model NPS pollutants with GIS and a review of recent applications of GIS to the modeling of non-point source pollutants in the vadose zone with deterministic solute transport models. The compatibility, strengths, and weaknesses of coupling a GIS to deterministic one-dimensional transport models are discussed. BACKGROUND IN NON-POINT SOURCE POLLUTANTS

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Physical Measurements in Subsurface Hydrology

Cited by 15 publications

References 153 publications

Field, laboratory, and modeling investigation of the skin effect at wells with slotted casing, Boise Hydrogeophysical Research Site

Field, laboratory, and modeling investigation of the skin effect at wells with slotted casing, Boise Hydrogeophysical Research Site

Characterization of aquifer heterogeneity by in situ sensing

GIS Applications of Deterministic Solute Transport Models for Regional-Scale Assessment of Non-Point Source Pollutants in the Vadose Zone

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