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Scaling soil hydraulic properties of a heterogeneous field
Year:
1980
Authors :
Russo, David
;
.
Volume :
44
Co-Authors:

DAVID Russo 
ESHEL BRESLER

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0
To page:
0
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Total pages:
1
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Abstract:

Field data for soil water characteristics and hydraulic conductivity have been scaled by two methods. The set of scaling factors (a,) determined by one method depends on soil water content. A correlation of r2 = 0.86 is obtained between scaling factors determined from soil characteristic data and those determined from hydraulic conductivity data. In the second method, the set of at is normally distributed, and is highly correlated with a, obtained by the first method from water characteristic data at water contents near saturation. In one method the sum of squares, about an average curve, was reduced by 44 and 66%, for the water characteristics and hydraulic conductivities data, respectively, while 92 and 82.5% reduction was obtained by the second method, for the same respective data. The results suggest that in practice, a single stochastic variable may represent the hydraulic properties of a heterogeneous field.

Note:
Related Files :
Spatial variability
Unsaturated hydraulic conductivity
water characteristic
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Article number:
0
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Publication Type:
article
;
.
Language:
English
Editors' remarks:
ID:
55906
Last updated date:
02/03/2022 17:27
Creation date:
15/08/2021 18:08
Scientific Publication
Scaling soil hydraulic properties of a heterogeneous field
44

DAVID Russo 
ESHEL BRESLER

Scaling soil hydraulic properties of a heterogeneous field

Field data for soil water characteristics and hydraulic conductivity have been scaled by two methods. The set of scaling factors (a,) determined by one method depends on soil water content. A correlation of r2 = 0.86 is obtained between scaling factors determined from soil characteristic data and those determined from hydraulic conductivity data. In the second method, the set of at is normally distributed, and is highly correlated with a, obtained by the first method from water characteristic data at water contents near saturation. In one method the sum of squares, about an average curve, was reduced by 44 and 66%, for the water characteristics and hydraulic conductivities data, respectively, while 92 and 82.5% reduction was obtained by the second method, for the same respective data. The results suggest that in practice, a single stochastic variable may represent the hydraulic properties of a heterogeneous field.

Scientific Publication
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