VZJ
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


Published online 8 March 2006
Published in Vadose Zone J 5:234-247 (2006)
DOI: 10.2136/vzj2005.0111
© 2006 Soil Science Society of America
677 S. Segoe Rd., Madison, WI 53711 USA
This Article
Right arrow Abstract Freely available
Right arrow Full Text Free
Right arrow Full Text (PDF) Free
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via ISI Web of Science (2)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Guber, A. K.
Right arrow Articles by Cady, R. E.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Guber, A. K.
Right arrow Articles by Cady, R. E.
GeoRef
Right arrow GeoRef Citation
Agricola
Right arrow Articles by Guber, A. K.
Right arrow Articles by Cady, R. E.
Related Collections
Right arrow Watershed and Landscape Processes
Right arrow Vadose Zone Processes and Chemical Transport

Field-Scale Water Flow Simulations Using Ensembles of Pedotransfer Functions for Soil Water Retention

A. K. Gubera, Ya. A. Pachepskyb,*, M. Th. van Genuchtenc, W. J. Rawlsd, J. Simuneka, D. Jacquese, T. J. Nicholsonf and R. E. Cadyf

a Dep. of Earth and Environmental Sciences, Univ. of California, Riverside, CA 92521
b USDA-ARS, Environmental Microbial Safety Lab., BARC-East, 173 Powder Mill Rd., Beltsville, MD 20705
c USDA-ARS, George E. Brown, Jr. Salinity Lab., Riverside, CA
d USDA-ARS Hydrology and Remote Sensing Lab., Beltsville, MD
e SCK-CEN, Belgium
f USNRC, ONRR, Washington, DC


Figure 1
View larger version (16K):

[in a new window]
 
Fig. 1. Precipitation during the period of measurements.

 

Figure 2
View larger version (9K):

[in a new window]
 
Fig. 2. Estimated daily evaporation rates for dry periods during the experiment.

 

Figure 3
View larger version (37K):

[in a new window]
 
Fig. 3. Average field-measured water content data at several depths (symbols) and simulated results obtained with the laboratory water retention data (lines). Solid line is the median value; dotted lines are the 95% tolerance interval.

 

Figure 4
View larger version (35K):

[in a new window]
 
Fig. 4. Average field-measured water content data at several depths (symbols) and simulated results obtained with the pedotransfer function ensemble (lines). Solid line is the median value; dotted lines are the 95% tolerance interval.

 

Figure 5
View larger version (15K):

[in a new window]
 
Fig. 5. Probability distributions of the RMSEs for soil water contents simulations using water retention data measured in the laboratory ({circ}) and estimated with the pedotransfer function ensemble ({triangledown}).

 

Figure 6
View larger version (16K):

[in a new window]
 
Fig. 6. Field-measured and estimated soil water retention curves along the trench. Dots are field measurements, dashed lines the 95% tolerance interval of the laboratory water retention data, and solid lines the 95% tolerance interval of pedotransfer function ensemble-estimated water retention curve.

 

Figure 7
View larger version (39K):

[in a new window]
 
Fig. 7. Average field-measured water content data at several depths (symbols) and simulated results obtained with the random Ks and the laboratory water retention data having a 50% probability (lines). Solid line is the median value; dotted lines are the 95% tolerance interval.

 

Figure 8
View larger version (10K):

[in a new window]
 
Fig. 8. Measured and simulated cumulative soil water fluxes for three wetting–drying periods (Days 112–143, 144–232, and 233–275). {circ}, simulated with laboratory-measured water retention; {triangledown}, simulated with the pedotransfer function ensemble. Error bars show standard deviations.

 

Figure 9
View larger version (15K):

[in a new window]
 
Fig. 9. Dependencies of average daily flux estimation error on time window over which fluxes were averaged. {circ}, simulated with laboratory-measured water retention data; {triangledown}, simulated with the pedotransfer function ensemble.

 

Figure 10
View larger version (23K):

[in a new window]
 
Fig. A1. Textural classification system according to the FAO Soil Map of Europe (1998). The FAO classes are: C (coarse), M (medium), MF (medium fine), F(fine), VF (very fine).

 





HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
The SCI Journals Agronomy Journal Crop Science
Journal of Natural Resources
and Life Sciences Education
Soil Science Society of America Journal
Journal of Plant Registrations Journal of
Environmental Quality
The Plant Genome
Copyright © 2006 by the Soil Science Society of America.