HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS		QUICK SEARCH:   [advanced] Author: Keyword(s): Year:  Vol:  Page:

This Article Abstract Full Text Free Full Text (PDF) Free Alert me when this article is cited Alert me if a correction is posted Services Similar articles in this journal Similar articles in ISI Web of Science Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via HighWire Citing Articles via ISI Web of Science (11) Citing Articles via Google Scholar Google Scholar Articles by Lesch, S. M. Articles by Corwin, D. L. Search for Related Content PubMed Articles by Lesch, S. M. Articles by Corwin, D. L. Agricola Articles by Lesch, S. M. Articles by Corwin, D. L. Related Collections Soil Salinity Electromagnetic Induction, EMI Soil Models Soil Classification and Mapping

Using the Dual-Pathway Parallel Conductance Model to Determine How Different Soil Properties Influence Conductivity Survey Data

USDA-ARS George E. Brown, Jr., Salinity Lab., 450 West Big Springs Rd., Riverside, CA 92507-4617

View larger version (95K): [in a new window]   Fig. 1. The three theoretical current-flow pathways within a mixed soil–water system, as originally described by Rhoades et al. (1989): (1) the series-coupled pathway, (2) the continuous liquid pathway, and (3) indurated solid phase pathway.

View larger version (7K): [in a new window]   Fig. 2. Path diagram showing the correlation relationships between measured primary [electrical conductivity of the saturated soil extract (ECe), saturation percentage (SP), and gravimetric soil water content (g)] and secondary (Q) soil properties, calculated soil electrical conductivity (CalcECa), measured electromagnetic induction survey data, and true soil electrical conductivity (ECa,[d]) for depth zone [d].

View larger version (16K): [in a new window]   Fig. 3. Two hypothetical dynamic water content–repartitioning parameter () curves which could be used to re-partition the relative volumetric soil water content volumes of series-coupled pathway (ws) and continuous liquid pathway (wc) content in the dynamic water content–partitioning DPPC model (Dy-DPPC). w, scaled water content relative to field capacity.

View larger version (23K): [in a new window]   Fig. 4. The degree of (top) ws/w and (bottom) wc/w relative percentage water content partitioning induced by the two curves shown in Fig. 3, in contrast to the assumed ws/w and wc/w curves used in the ordinary DPPC model.

View larger version (16K): [in a new window]   Fig. 5. Calculated soil electrical conductivity (CalcECa) vs. electromagnetic induction (EM) correlation results in field IID-34 from (a) ordinary DPPC model and (b) optimized, dynamic water content–partitioning DPPC model.