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Electromagnetic induction prediction of soil salinity and groundwater properties in a Tunisian Saharan oasis

Bouksila, F.; Persson, Magnus LU ; Bahri, A. and Berndtsson, Ronny LU (2012) In Hydrological Sciences Journal 57(7). p.1473-1486
Abstract
Electromagnetic induction measurements (EM) were taken in a saline gypsiferous soil of the Saharan-climate Fatnassa oasis (Tunisia) to predict the electrical conductivity of saturated soil extract (ECe) and shallow groundwater properties (depth, Dgw, and electrical conductivity, ECgw) using various models. The soil profile was sampled at 0.2 m depth intervals to 1.2 m for physical and chemical analysis. The best input to predict the log-transformed soil salinity (lnECe) in surface (0-0.2 m) soil was the EMh/EMv ratio. For the 0-0.6 m soil depth interval, the performance of multiple linear regression (MLR) models to predict lnECe was weaker using data collected over various seasons and years (R-a(2) = 0.66 and MSE = 0.083 dS m(-1)) as... (More)
Electromagnetic induction measurements (EM) were taken in a saline gypsiferous soil of the Saharan-climate Fatnassa oasis (Tunisia) to predict the electrical conductivity of saturated soil extract (ECe) and shallow groundwater properties (depth, Dgw, and electrical conductivity, ECgw) using various models. The soil profile was sampled at 0.2 m depth intervals to 1.2 m for physical and chemical analysis. The best input to predict the log-transformed soil salinity (lnECe) in surface (0-0.2 m) soil was the EMh/EMv ratio. For the 0-0.6 m soil depth interval, the performance of multiple linear regression (MLR) models to predict lnECe was weaker using data collected over various seasons and years (R-a(2) = 0.66 and MSE = 0.083 dS m(-1)) as compared to those collected during the same period (R-a(2) = 0.97, MSE = 0.007 dS m(-1)). For similar seasonal conditions, for the Dgw-EMv relationship, R-2 was 0.88 and the MSE was 0.02 m for Dgw prediction. For a validation subset, the R-2 was 0.85 and the MSE was 0.03 m. Soil salinity was predicted more accurately when groundwater properties were used instead of soil moisture with EM variables as input in the MLR. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
electromagnetic induction, ground conductivity meter EM38, soil, salinity, oasis, gypsiferous soil, water table
in
Hydrological Sciences Journal
volume
57
issue
7
pages
1473 - 1486
publisher
IAHS Press
external identifiers
  • wos:000309706500014
  • scopus:84867242834
ISSN
0262-6667
DOI
10.1080/02626667.2012.717701
language
English
LU publication?
yes
id
269249cb-9dee-4130-ae9b-f7617811d64c (old id 3181312)
date added to LUP
2012-12-12 08:25:31
date last changed
2017-01-01 06:34:59
@article{269249cb-9dee-4130-ae9b-f7617811d64c,
  abstract     = {Electromagnetic induction measurements (EM) were taken in a saline gypsiferous soil of the Saharan-climate Fatnassa oasis (Tunisia) to predict the electrical conductivity of saturated soil extract (ECe) and shallow groundwater properties (depth, Dgw, and electrical conductivity, ECgw) using various models. The soil profile was sampled at 0.2 m depth intervals to 1.2 m for physical and chemical analysis. The best input to predict the log-transformed soil salinity (lnECe) in surface (0-0.2 m) soil was the EMh/EMv ratio. For the 0-0.6 m soil depth interval, the performance of multiple linear regression (MLR) models to predict lnECe was weaker using data collected over various seasons and years (R-a(2) = 0.66 and MSE = 0.083 dS m(-1)) as compared to those collected during the same period (R-a(2) = 0.97, MSE = 0.007 dS m(-1)). For similar seasonal conditions, for the Dgw-EMv relationship, R-2 was 0.88 and the MSE was 0.02 m for Dgw prediction. For a validation subset, the R-2 was 0.85 and the MSE was 0.03 m. Soil salinity was predicted more accurately when groundwater properties were used instead of soil moisture with EM variables as input in the MLR.},
  author       = {Bouksila, F. and Persson, Magnus and Bahri, A. and Berndtsson, Ronny},
  issn         = {0262-6667},
  keyword      = {electromagnetic induction,ground conductivity meter EM38,soil,salinity,oasis,gypsiferous soil,water table},
  language     = {eng},
  number       = {7},
  pages        = {1473--1486},
  publisher    = {IAHS Press},
  series       = {Hydrological Sciences Journal},
  title        = {Electromagnetic induction prediction of soil salinity and groundwater properties in a Tunisian Saharan oasis},
  url          = {http://dx.doi.org/10.1080/02626667.2012.717701},
  volume       = {57},
  year         = {2012},
}