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


     


Published online 14 January 2009
Published in Vadose Zone J 7:1253-1260 (2009)
DOI: 10.2136/vzj2008.0009
© 2009 Soil Science Society of America
677 S. Segoe Rd., Madison, WI 53711 USA
This Article
Right arrow Figures Only
Right arrow Full Text
Right arrow Full Text (PDF)
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 Google Scholar
Google Scholar
Right arrow Articles by Tartakovsky, A. M.
Right arrow Articles by Tartakovsky, D. M.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Tartakovsky, A. M.
Right arrow Articles by Tartakovsky, D. M.
Agricola
Right arrow Articles by Tartakovsky, A. M.
Right arrow Articles by Tartakovsky, D. M.
Related Collections
Right arrow Downhole/Borehole Methods
Right arrow Inverse Procedures/Parameter Estimation
Right arrow Analytical Solutions

ORIGINAL RESEARCH

Hydrogeophysical Approach for Identification of Layered Structures of the Vadose Zone from Electrical Resistivity Data

Alexandre M. Tartakovskya,*, Diogo Bolsterb and Daniel M. Tartakovskyc

a Pacific Northwest National Lab., Richland, WA 99352
b Technical Univ. of Catalonia, Barcelona, Spain
c Dep. of Mechanical and Aerospace Engineering, Univ. of California-San Diego, La Jolla, CA 92093

* Corresponding author (Alexandre.Tartakovsky{at}pnl.gov).

Received 15 January 2008.

The electric resistivity survey and borehole collection of resistivity data are one of the oldest geophysical tools for characterization of the vadose zone. A current trend is to conduct such surveys in a tomographic manner, which requires significant computational resources. We present a simple, semianalytical approach to delineate multiple layers in partially saturated soils from resistivity and saturation measurements taken at several depths along a borehole. The number of layers and their hydraulic properties are assumed to be known. The proposed inversion algorithm is computationally efficient and can serve either as a stand-alone tool for layer delineation or as an autonomous module in a more comprehensive geophysical survey. It is most robust when each layer is sampled at least once. When one or more layers have not been sampled, the algorithm's robustness (convergence) depends on the accuracy of an initial guess (e.g., expert knowledge and other hard or soft data). We provide a detailed analysis of the algorithm's convergence and identify potential pitfalls.







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 © 2009 by the Soil Science Society of America.