Application of kriging with external drift to estimate hydraulic conductivity from electrical-resistivity data in unconsolidated deposits near Montalto Uffugo, Italy

2000 ◽  
Vol 8 (4) ◽  
pp. 356-367 ◽  
Author(s):  
S. Troisi ◽  
C. Fallico ◽  
S. Straface ◽  
E. Migliari
Keyword(s):  
Electrical Resistivity ◽  
Hydraulic Conductivity ◽  
Resistivity Data ◽  
Kriging With External Drift ◽  
External Drift

scholarly journals Time-lapse imaging of subglacial drainage conditions using three-dimensional inversion of borehole electrical resistivity data

2006 ◽  
Vol 52 (176) ◽  
pp. 49-57 ◽  
Author(s):  
Bernd Kulessa ◽  
Bryn Hubbard ◽  
Giles H. Brown
Keyword(s):  
Electrical Resistivity ◽  
Hydraulic Conductivity ◽  
Three Dimensional ◽  
Clay Content ◽  
Time Lapse ◽  
Sediment Layer ◽  
Bulk Resistivity ◽  
Resistivity Data ◽  
Hydrological Cycles ◽  
Subglacial Drainage

AbstractWe recorded electrical resistivity data at the base of four boreholes drilled through Haut Glacier d’Arolla, Switzerland. The data were acquired repetitively every hour over two diurnal hydrological cycles in the late melt season, separated by 10 days. Constrained three-dimensional (3-D) data inversion allowed reconstruction of hourly variations in bulk resistivity in the subglacial sediment layer. Inverted resistivity models reflect the establishment of channelized subglacial drainage in the study area between the two hydrological cycles, in agreement with previous work. Daily variations in bulk and water resistivity are in phase, and bulk resistivity amplitudes decrease away from the subglacial channel. Using selected electrical–hydraulic relationships, we estimate metre-scale changes in the hydraulic conductivity and porosity of the subglacial sediment layer, accounting for increasing clay content and decreasing median grain radius with distance from the channel. Hydraulic conductivity and porosity were respectively calculated to decrease from (6.4 ± 2.1) × 10–2ms–1 and 0.34 ± 0.01 at the channel to (3.3 ± 2.2) × 10–2ms–1 and 0.26 ± 0.01 at a distance of 5m from it. The hydraulic conductivity estimates are in agreement with previously inferred values, and the porosity estimates fall within the expected range for unlithified subglacial sediments. We conclude that collection and inversion of repeat 3-D subglacial resistivity data is feasible and has the capacity to generate multidimensional images of subglacial hydraulic processes and properties.

Concentration Measurement of Lithium Bromide Aqueous Solution by Electrical Resistivity

2010 ◽  
Author(s):  
Jian Sun ◽  
Lin Fu ◽  
Shigang Zhang ◽  
Wei Hou
Keyword(s):  
Aqueous Solution ◽  
Electrical Resistivity ◽  
Lithium Bromide ◽  
Measurement Methods ◽  
Concentration Measurement ◽  
Low Grade ◽  
Saving Energy ◽  
Resistivity Data ◽  
Absorption Chillers ◽  
Low Grade Heat

Absorption chillers have currently become an important device in saving energy because of its effectiveness in utilizing low grade heat. Lithium bromide is widely used as absorbent in this system. But there were few outstanding concentration measurement methods in practice before. In this paper, complete electrical resistivity data of lithium bromide aqueous solution for concentration measurement was given. The electrical resistivity of lithium bromide aqueous solution was measured at concentrations of 35–70 wt% of lithium bromide and temperatures of 10–100°C. Results of this work can meet the requirement of concentration measurement of lithium bromide in absorption chillers without extracting samples.

Estimation of Soil Hydraulic Conductivity on Clay Content, Determined from Resistivity Data

2006 ◽  
Author(s):  
Vladimir Shevnin ◽  
Omar Delgado‐Rodríguez ◽  
Aleksandr Mousatov ◽  
Albert Ryjov
Keyword(s):  
Hydraulic Conductivity ◽  
Clay Content ◽  
Soil Hydraulic Conductivity ◽  
Resistivity Data ◽  
Soil Hydraulic

scholarly journals Estimation of transit trip production using Factorial Kriging with External Drift: an aggregated data case study

2016 ◽  
Vol 19 (4) ◽  
pp. 245-254 ◽  
Author(s):  
Anabele Lindner ◽  
Cira Souza Pitombo ◽  
Samille Santos Rocha ◽  
José Alberto Quintanilha
Keyword(s):  
Aggregated Data ◽  
Kriging With External Drift ◽  
Factorial Kriging ◽  
Trip Production ◽  
External Drift

Characterization and Delineation of Gypsum Karst Geohazards Using 2D Electrical Resistivity Tomography in Culberson County, Texas, USA

2017 ◽  
Vol 22 (4) ◽  
pp. 411-420
Author(s):  
Adam F. Majzoub ◽  
Kevin W. Stafford ◽  
Wesley A. Brown ◽  
Jon T. Ehrhart
Keyword(s):  
Electrical Resistivity ◽  
Electrical Resistivity Tomography ◽  
Chihuahuan Desert ◽  
Two Dimensional ◽  
Resistivity Tomography ◽  
Delaware Basin ◽  
Earth Resistivity ◽  
Array Configuration ◽  
Resistivity Data ◽  
Karst Landforms

The Delaware Basin of W Texas and SE New Mexico is the western subdivision of the Permian Basin and a northern extension of the Chihuahuan Desert. The major evaporite unit within the Delaware Basin is the Castile Formation, which consists of gypsum/anhydrite and is highly susceptible to dissolution and karstification. Manifestations of karst within the Castile outcrop are abundant and include sinkholes, subsidence features and caves, both epigene and hypogene in origin. Land reconnaissance surveys conducted during 2015 and 2016 documented abundant karst landforms near major thoroughfares in Culberson County, Texas. Two dimensional (2D) electrical resistivity surveys were conducted at four sites to characterize and delineate karst related hazards, both laterally and vertically, associated with the road. The electrical resistivity data were collected with a multi-electrode earth resistivity meter using a dipole-dipole array configuration. The resistivity data were then processed using EarthImager2D to produce inverted profile sections of each site. Two-dimensional electrical resistivity tomography was shown to be an effective non-invasive method in detecting solution conduits, soil filled voids, and fractured bedrock in the shallow subsurface in addition to those directly observed on the surface.

Geostatistical Reconstruction of Gaps in Near-Surface Electrical Resistivity Data

2004 ◽  
Vol 3 (4) ◽  
pp. 1215-1229 ◽  
Author(s):  
D. Cornacchiulo ◽  
A. C. Bagtzoglou
Keyword(s):  
Electrical Resistivity ◽  
Near Surface ◽  
Resistivity Data
Sign in / Sign up

Export Citation Format

Share Document