Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Mark D. Varljen"'
Autor:
Will Focht
Publikováno v:
Groundwater Monitoring & Remediation. 15:150-150
Akademický článek
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Publikováno v:
Groundwater Monitoring & Remediation. 25:52-62
Publikováno v:
Soil and Sediment Contamination: An International Journal. 12:663-672
The term “Natural Attenuation” (NA) has been defined as naturally occurring processes in soil and groundwater environments that act without human intervention to reduce the mass, toxicity, mobility, volume, or concentration of contaminants in tho
Publikováno v:
Environmental Monitoring and Assessment. 59:31-46
The application of geostatistics to spatial interpolation of time-invariant properties in ground-water studies (such as transmissivity or aquifer thickness) is well documented. The use of geostatistics on time-variant conditions such as ground-water
Publikováno v:
Ground Water. 32:12-22
Recent research has confirmed that low flow rate purging (i.e., ∼11/min) is a valid technique for 2 (5 cm) diameter monitoring wells with short screened intervals. The use of low flow, dedicated pumping devices for purging and sampling minimizes bo
Autor:
Mark D. Varljen, John M. Shafer
Publikováno v:
Ground Water. 31:401-409
A technique based on numerical ground-water flow modeling and unconstrained nonlinear optimization has been developed to provide guidance for protecting municipal ground-water supplies from contamination through capture zone management. The technique
Autor:
J. M. Shafer, Mark D. Varljen
Publikováno v:
Ground Water. 29:737-748
A stochastic approach to steady-state time-related capture zone determination that is based on the conditional simulation of hydraulic conductivity is presented. Conditional simulation of hydraulic conductivity preserves the spatial correlation struc
Autor:
J. M. Shafer, Mark D. Varljen
Publikováno v:
Water Resources Research. 26:1787-1802
A fundamental requirement for geostatistical analyses of spatially correlated environmental data is the estimation of the sample semivariogram to characterize spatial correlation. Selecting an underlying theoretical semivariogram based on the sample
Autor:
Mark D. Varljen
Publikováno v:
Groundwater Monitoring & Remediation. 17:87-89