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Performance Evaluation of Volumetric Water Content and Relative Permittivity Models
Joint Authors
Mukhlisin, Muhammad
Saputra, Almushfi
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-10-24
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
In recent years many models have been proposed for measuring soil water content (θ) based on the permittivity (ε) value.
Permittivity is one of the properties used to determine θ in measurements using the electromagnetic method.
This method is widely used due to quite substantial differences in values of ε for air, soil, and water, as it allows the θ value to be measured accurately.
The performance of six proposed models with one parameter (i.e., permittivity) and five proposed models with two or more parameters (i.e., permittivity, porosity, and dry bulk density of soil) is discussed and evaluated.
Secondary data obtained from previous studies are used for comparison to calibrate and evaluate the models.
The results show that the models with one parameter proposed by Roth et al.
(1992) and Topp et al.
(1980) have the greatest R2 data errors, while for the model with two parameters, the model proposed by Malicki et al.
(1996) agrees very well with the data compared with other models.
American Psychological Association (APA)
Mukhlisin, Muhammad& Saputra, Almushfi. 2013. Performance Evaluation of Volumetric Water Content and Relative Permittivity Models. The Scientific World Journal،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1032902
Modern Language Association (MLA)
Mukhlisin, Muhammad& Saputra, Almushfi. Performance Evaluation of Volumetric Water Content and Relative Permittivity Models. The Scientific World Journal No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-1032902
American Medical Association (AMA)
Mukhlisin, Muhammad& Saputra, Almushfi. Performance Evaluation of Volumetric Water Content and Relative Permittivity Models. The Scientific World Journal. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1032902
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1032902