scholarly journals Extending the Kenney–Lau method to dam core soils of glacial till

2014 ◽  
Vol 1 (2) ◽  
pp. 73-87 ◽  
Author(s):  
Hans Rönnqvist ◽  
Peter Viklander
Keyword(s):  
Glacial Till ◽  
Dam Core

scholarly journals Experimental Investigation of Suffusion in Dam Core Soils of Glacial Till

2017 ◽  
Vol 40 (3) ◽  
pp. 20150298 ◽  
Author(s):  
H. Rönnqvist ◽  
P. Viklander ◽  
S. Knutsson
Keyword(s):  
Experimental Investigation ◽  
Glacial Till ◽  
Dam Core

Conjectures, Hypotheses, and Theories of Drumlin Formation (In memory of Stanislaw Baranowski)

1981 ◽  
Vol 27 (97) ◽  
pp. 503-505 ◽  
Author(s):  
Ian J. Smalley
Keyword(s):  
Shear Strength ◽  
Pore Water ◽  
Stress Level ◽  
Critical Stress ◽  
Pore Water Pressure ◽  
Water Pressure ◽  
Glacial Till ◽  
Forming Process ◽  
Stress Levels

AbstractRecent investigations have shown that various factors may affect the shear strength of glacial till and that these factors may be involved in the drumlin-forming process. The presence of frozen till in the deforming zone, variation in pore-water pressure in the till, and the occurrence of random patches of dense stony-till texture have been considered. The occurrence of dense stony till may relate to the dilatancy hypothesis and can be considered a likely drumlin-forming factor within the region of critical stress levels. The up-glacier stress level now appears to be the more important, and to provide a sharper division between drumlin-forming and non-drumlin-forming conditions.

Sequence effects among crops on alluvial-derived soil compared with those on glacial till-derived soil in the northern Great Plains, USA

2012 ◽  
Vol 107 ◽  
pp. 1-12 ◽  
Author(s):  
Stephen D. Merrill ◽  
Donald L. Tanaka ◽  
Mark A. Liebig ◽  
Joseph M. Krupinsky ◽  
Jonathan D. Hanson ◽  
...  
Keyword(s):  
Great Plains ◽  
Glacial Till ◽  
Northern Great Plains ◽  
Sequence Effects

scholarly journals Combining ground-based and airborne EM through Artificial Neural Networks for modelling glacial till under saline groundwater conditions

2012 ◽  
Vol 16 (8) ◽  
pp. 3061-3074 ◽  
Author(s):  
J. L. Gunnink ◽  
J. H. A. Bosch ◽  
B. Siemon ◽  
B. Roth ◽  
E. Auken
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Clay Content ◽  
Cost Effective ◽  
Glacial Till ◽  
Saline Groundwater ◽  
Cone Penetration Tests ◽  
Artificial Neural ◽  
Groundwater Quantity ◽  
Airborne Em

Abstract. Airborne electromagnetic (AEM) methods supply data over large areas in a cost-effective way. We used Artificial Neural Networks (ANN) to classify the geophysical signal into a meaningful geological parameter. By using examples of known relations between ground-based geophysical data (in this case electrical conductivity, EC, from electrical cone penetration tests) and geological parameters (presence of glacial till), we extracted learning rules that could be applied to map the presence of a glacial till using the EC profiles from the airborne EM data. The saline groundwater in the area was obscuring the EC signal from the till but by using ANN we were able to extract subtle and often non-linear, relations in EC that were representative of the presence of the till. The ANN results were interpreted as the probability of having till and showed a good agreement with drilling data. The glacial till is acting as a layer that inhibits groundwater flow, due to its high clay-content, and is therefore an important layer in hydrogeological modelling and for predicting the effects of climate change on groundwater quantity and quality.

Ground Water Movement in Poorly Drained Glacial Till Soil

1964 ◽  
Vol 7 (1) ◽  
pp. 0038-0041 ◽  
Author(s):  
Joseph Bornstein
Keyword(s):  
Ground Water ◽  
Water Movement ◽  
Glacial Till
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