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 Roulier, S.
Right arrow Articles by Jarvis, N.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Roulier, S.
Right arrow Articles by Jarvis, N.
GeoRef
Right arrow GeoRef Citation
Agricola
Right arrow Articles by Roulier, S.
Right arrow Articles by Jarvis, N.
Related Collections
Right arrow Inverse Procedures/Parameter Estimation
Right arrow Dual Porosity/Permeability Models

Analysis of Inverse Procedures for Estimating Parameters Controlling Macropore Flow and Solute Transport in the Dual-Permeability Model MACRO

Stéphanie Roulier* and Nicholas Jarvis

Department of Soil Sciences, SLU, Box 7014, 750 07, Uppsala, Sweden


View larger version (30K):

[in a new window]
 
Fig. 1. Generated data set for cases both with and without macropore flow: (a) accumulated percolation, (b) tracer and (c) reactive solute leaching rates, and profiles of resident concentration for (d) the tracer and (e) the reactive solute.

 


View larger version (19K):

[in a new window]
 
Fig. 2. Simulation of (a) the accumulated percolation, (b) the tracer leaching rate, and (c) resident concentration. The "measured" data were generated for the case with macropore flow and were corrupted by independent normally distributed error.

 


View larger version (24K):

[in a new window]
 
Fig. 3. Simulation of (a) the reactive solute leaching rate and (b) resident concentration. The "measured" data were generated for the case with macropore flow and were corrupted by independent normally distributed error.

 


View larger version (41K):

[in a new window]
 
Fig. 4. Response surfaces of the objective function in (a) the (Dv, d) plane and (b) the (n*, d) plane (logarithmic scale). The crosses identify the true values of the parameters.

 


View larger version (37K):

[in a new window]
 
Fig. 5. Response surfaces of the objective function in the (a) (µref, zf) plane, (b) (f, zf) plane, and (c) (n, zf) plane (logarithmic scale). The crosses identify the true values of the parameters.

 





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 © 2003 by the Soil Science Society of America.