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


     


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 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 HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Yeh, T.-C. J.
Right arrow Articles by Simunek, J.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Yeh, T.-C. J.
Right arrow Articles by Simunek, J.
GeoRef
Right arrow GeoRef Citation
Agricola
Right arrow Articles by Yeh, T.-C. J.
Right arrow Articles by Simunek, J.
Related Collections
Right arrow Spatial Distribution
Right arrow Vadose Zone Processes and Chemical Transport
Right arrow Soil Hydrology

Stochastic Fusion of Information for Characterizing and Monitoring the Vadose Zone

Tian-Chyi J. Yeh*,a and Jirka Simunekb

a Department of Hydrology and Water Resources, The University of Arizona, Tucson, AZ 85721
b George E. Brown, Salinity Laboratory, USDA-ARS, Riverside, CA 92507-4617



View larger version (27K):

[in a new window]
 
Fig. 1. Comparisons of true and estimated (A) Ks and (B) {alpha} values (after removing their means) from one flux boundary condition. (C) and (D) compare the true and estimated values for two flux boundary conditions.

 


View larger version (28K):

[in a new window]
 
Fig. 2. Flow chart of Level 2 iterative stochastic fusion.

 


View larger version (31K):

[in a new window]
 
Fig. 3. True (A) ln {alpha} and (B) {theta} fields of the synthetic vadose zone.

 


View larger version (38K):

[in a new window]
 
Fig. 4. (A) Estimated {theta} fields using six {theta} measurements and a kriging technique; (B) estimated ln {alpha} field from an unsaturated inverse model using 34 {theta} values from Fig. 4A; (C) simulated {theta} fields using the ln {alpha} field from Fig. 4B. (D) Estimated {theta} fields using six {theta} measurements and an ERT survey; (E) estimated ln {alpha} field from an unsaturated inverse model using 34 {theta} values from Fig. 4D; (F) simulated {theta} fields the using the ln {alpha} field from Fig. 4E.

 





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 © 2002 by the Soil Science Society of America.