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פותח על ידי קלירמאש פתרונות בע"מ -
Prediction of spatially variable unsaturated hydraulic conductivity using scaled particle-size distribution functions
Year:
2013
Source of publication :
Water Resources Research
Authors :
אסולין, שמואל
;
.
Volume :
49
Co-Authors:
Nasta, P., Department of Earth and Atmospheric Sciences, University of Nebraska, Lincoln, NE 68588, United States, Department of Civil and Environmental Engineering, University of California, Irvine, CA, United States
Romano, N., Department of Agriculture, Division of Agricultural, Forest and Biosystems Engineering, University of Napoli Federico II, Naples, Portici, Italy
Assouline, S., Department of Environmental Physics and Irrigation, A.R.O, Volcani Center, Bet Dagan, Israel
Vrugt, J.A., Department of Civil and Environmental Engineering, University of California, Irvine, CA, United States
Hopmans, J.W., Department of Land, Air and Water Resources, University of California, Davis, CA, United States
Facilitators :
From page:
4219
To page:
4229
(
Total pages:
11
)
Abstract:
Simultaneous scaling of soil water retention and hydraulic conductivity functions provides an effective means to characterize the heterogeneity and spatial variability of soil hydraulic properties in a given study area. The statistical significance of this approach largely depends on the number of soil samples collected. Unfortunately, direct measurement of the soil hydraulic functions is tedious, expensive and time consuming. Here we present a simple and cost-effective hybrid scaling approach that combines the use of ancillary information (e.g., particle-size distribution and soil bulk density) with direct measurements of saturated soil water content and saturated hydraulic conductivity. Our results demonstrate that the presented approach requires far fewer laboratory measurements than conventional scaling methods to adequately capture the spatial variability of soil hydraulic properties. © 2013. American Geophysical Union. All Rights Reserved.
Note:
Related Files :
particle-size distribution
pedotransfer function
Sampling
soil moisture
soil surveys
עוד תגיות
תוכן קשור
More details
DOI :
10.1002/wrcr.20255
Article number:
Affiliations:
Database:
סקופוס
Publication Type:
מאמר
;
.
Language:
אנגלית
Editors' remarks:
ID:
23682
Last updated date:
02/03/2022 17:27
Creation date:
17/04/2018 00:01
Scientific Publication
Prediction of spatially variable unsaturated hydraulic conductivity using scaled particle-size distribution functions
49
Nasta, P., Department of Earth and Atmospheric Sciences, University of Nebraska, Lincoln, NE 68588, United States, Department of Civil and Environmental Engineering, University of California, Irvine, CA, United States
Romano, N., Department of Agriculture, Division of Agricultural, Forest and Biosystems Engineering, University of Napoli Federico II, Naples, Portici, Italy
Assouline, S., Department of Environmental Physics and Irrigation, A.R.O, Volcani Center, Bet Dagan, Israel
Vrugt, J.A., Department of Civil and Environmental Engineering, University of California, Irvine, CA, United States
Hopmans, J.W., Department of Land, Air and Water Resources, University of California, Davis, CA, United States
Prediction of spatially variable unsaturated hydraulic conductivity using scaled particle-size distribution functions
Simultaneous scaling of soil water retention and hydraulic conductivity functions provides an effective means to characterize the heterogeneity and spatial variability of soil hydraulic properties in a given study area. The statistical significance of this approach largely depends on the number of soil samples collected. Unfortunately, direct measurement of the soil hydraulic functions is tedious, expensive and time consuming. Here we present a simple and cost-effective hybrid scaling approach that combines the use of ancillary information (e.g., particle-size distribution and soil bulk density) with direct measurements of saturated soil water content and saturated hydraulic conductivity. Our results demonstrate that the presented approach requires far fewer laboratory measurements than conventional scaling methods to adequately capture the spatial variability of soil hydraulic properties. © 2013. American Geophysical Union. All Rights Reserved.
Scientific Publication
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