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Modeling within field variation of the compaction layer in a paddy rice field using a proximal soil sensing system

Mohammad Monirul Islam UGent, Timothy Saey UGent, Philippe De Smedt UGent, Ellen Van De Vijver UGent, Samuël Delefortrie and Marc Van Meirvenne UGent (2014) SOIL USE AND MANAGEMENT. 30(1). p.99-108
abstract
A key characteristic of flooded paddy fields is the plough pan. This is a sub-soil layer of greater compaction and bulk density, which restricts water losses through percolation. However, the thickness of this compacted layer can be inconsistent, with consequences such as variable percolation and leaching losses of nutrients, which therefore requires precision management of soil water. Our objective was to evaluate a methodology to model the thickness of the compacted soil layer using a non-invasive electromagnetic induction sensor (EM38-MK2). A 2.7ha alluvial non-saline paddy rice field was measured with a proximal soil sensing system using the EM38-MK2 and the apparent electrical conductivity (ECa) of the wet paddy soil was recorded at a high-resolution (1.0x0.5m). Soil bulk density (n=10) was measured using undisturbed soil cores, which covered locations with large and small ECa values. At the same locations (within 1m(2)) the depth of the different soil layers was determined by penetrometer. Then a fitting procedure was used to model the ECa - depth response functions of the EM38-MK2, which involved solving a system of non-linear equations and a R-2 value of 0.89 was found. These predictions were evaluated using independent observations (n=18) where a Pearson correlation coefficient of 0.87 with an RMSEE value of 0.03m was found. The ECa measurements allowed the detail estimation of the compacted layer thickness. The link between water percolation losses and thickness of the compacted layer was confirmed by independent observations with an inverse relationship having a Pearson correlation coefficient of 0.89. This rapid, non-invasive and cost-effective technique offers new opportunities to measure differences in the thickness of compacted layers in water-saturated soils. This has potential for site-specific soil management in paddy rice fields.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
Apparent electrical conductivity, paddy, compaction thickness, modeling, water management, EM38-MK2, APPARENT ELECTRICAL-CONDUCTIVITY, ELECTROMAGNETIC INDUCTION, ORGANIC-CARBON, SALINITY, DETECT, WATER, L.
journal title
SOIL USE AND MANAGEMENT
Soil Use Manage.
volume
30
issue
1
pages
99 - 108
Web of Science type
Article
Web of Science id
000332773900012
JCR category
SOIL SCIENCE
JCR impact factor
1.466 (2014)
JCR rank
17/34 (2014)
JCR quartile
2 (2014)
ISSN
0266-0032
DOI
10.1111/sum.12098
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
4383281
handle
http://hdl.handle.net/1854/LU-4383281
date created
2014-05-14 11:03:54
date last changed
2016-12-19 15:37:58
@article{4383281,
  abstract     = {A key characteristic of flooded paddy fields is the plough pan. This is a sub-soil layer of greater compaction and bulk density, which restricts water losses through percolation. However, the thickness of this compacted layer can be inconsistent, with consequences such as variable percolation and leaching losses of nutrients, which therefore requires precision management of soil water. Our objective was to evaluate a methodology to model the thickness of the compacted soil layer using a non-invasive electromagnetic induction sensor (EM38-MK2). A 2.7ha alluvial non-saline paddy rice field was measured with a proximal soil sensing system using the EM38-MK2 and the apparent electrical conductivity (ECa) of the wet paddy soil was recorded at a high-resolution (1.0x0.5m). Soil bulk density (n=10) was measured using undisturbed soil cores, which covered locations with large and small ECa values. At the same locations (within 1m(2)) the depth of the different soil layers was determined by penetrometer. Then a fitting procedure was used to model the ECa - depth response functions of the EM38-MK2, which involved solving a system of non-linear equations and a R-2 value of 0.89 was found. These predictions were evaluated using independent observations (n=18) where a Pearson correlation coefficient of 0.87 with an RMSEE value of 0.03m was found. The ECa measurements allowed the detail estimation of the compacted layer thickness. The link between water percolation losses and thickness of the compacted layer was confirmed by independent observations with an inverse relationship having a Pearson correlation coefficient of 0.89. This rapid, non-invasive and cost-effective technique offers new opportunities to measure differences in the thickness of compacted layers in water-saturated soils. This has potential for site-specific soil management in paddy rice fields.},
  author       = {Islam, Mohammad Monirul and Saey, Timothy and De Smedt, Philippe and Van De Vijver, Ellen and Delefortrie, Samu{\"e}l and Van Meirvenne, Marc},
  issn         = {0266-0032},
  journal      = {SOIL USE AND MANAGEMENT},
  keyword      = {Apparent electrical conductivity,paddy,compaction thickness,modeling,water management,EM38-MK2,APPARENT ELECTRICAL-CONDUCTIVITY,ELECTROMAGNETIC INDUCTION,ORGANIC-CARBON,SALINITY,DETECT,WATER,L.},
  language     = {eng},
  number       = {1},
  pages        = {99--108},
  title        = {Modeling within field variation of the compaction layer in a paddy rice field using a proximal soil sensing system},
  url          = {http://dx.doi.org/10.1111/sum.12098},
  volume       = {30},
  year         = {2014},
}

Chicago
Islam, Mohammad Monirul, Timothy Saey, Philippe De Smedt, Ellen Van De Vijver, Samuël Delefortrie, and Marc Van Meirvenne. 2014. “Modeling Within Field Variation of the Compaction Layer in a Paddy Rice Field Using a Proximal Soil Sensing System.” Soil Use and Management 30 (1): 99–108.
APA
Islam, Mohammad Monirul, Saey, T., De Smedt, P., Van De Vijver, E., Delefortrie, S., & Van Meirvenne, M. (2014). Modeling within field variation of the compaction layer in a paddy rice field using a proximal soil sensing system. SOIL USE AND MANAGEMENT, 30(1), 99–108.
Vancouver
1.
Islam MM, Saey T, De Smedt P, Van De Vijver E, Delefortrie S, Van Meirvenne M. Modeling within field variation of the compaction layer in a paddy rice field using a proximal soil sensing system. SOIL USE AND MANAGEMENT. 2014;30(1):99–108.
MLA
Islam, Mohammad Monirul, Timothy Saey, Philippe De Smedt, et al. “Modeling Within Field Variation of the Compaction Layer in a Paddy Rice Field Using a Proximal Soil Sensing System.” SOIL USE AND MANAGEMENT 30.1 (2014): 99–108. Print.