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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Computers and Electr...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Computers and Electronics in Agriculture
Article . 2012 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Field evaluation of the pedostructure-based model (Kamel®)

Authors: Jagdish Singh; Rabi Mohtar; Erik Braudeau; Gary Heathmen; Julie Jesiek; Dhanwinder Singh;

Field evaluation of the pedostructure-based model (Kamel®)

Abstract

This study involves a field evaluation of the pedostructure-based model Kamel(R) and comparisons between Kamel(R) and the Hydrus-1D(R) model. Both models are commonly named 1D - soil water models because they simulate the flux of water within the soil, related to climate conditions variation and water uptake by roots. The field site used in the investigation is within the Upper Cedar Creek Watershed (UCCW) in northwestern Indiana, USA. A description of both models has been made, emphasizing on the physical principles on which the pedostructure parameters for Kamel(R) were calculated or estimated using usual pedotransfer functions according to a methodology explained in the article. Sensitivity analysis for the pedostructure parameters of the Kamel(R) model showed that values for Kbs (slope of shrinkage curve for basic water content), VA (specific volume of pedostructure at dry state) and @a"L (hydraulic conductivity coefficient for high range of macropores) were the most sensitive parameters of the soil medium for Kamel(R) model input. The calibration for Kamel(R) and Hydrus-1D(R) was carried out for a 15day time period for determining the non-measured parameters. The calibrated parameters were used for validation of both models for the field site. Both models were found to be in good agreement with measured water content at the 5 and 20cm layers for the field site, but performance of Kamel(R) was superior to Hydrus-1D(R) for deeper layers. However the lack of information about the internal organization of the soil in situ, like thickness of horizons, roots repartition, accepted by Kamel(R), does not permit to make a complete validation of the model. We only show here that Kamel(R) can do as well as Hydrus-1D(R), a more known and experimented soil water model; however, Kamel(R) is more promising in terms of ability to couple dynamics of the internal hydrostructural state of the soil medium to the external climatic conditions and the biological processes in the critical zone.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Average
Top 10%
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