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)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/3181312
- author
- Bouksila, F.
; Persson, Magnus
LU
; Bahri, A.
and Berndtsson, Ronny
LU
- organization
- publishing date
- 2012
- 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
- Taylor & Francis
- 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
- 2016-04-01 15:04:05
- date last changed
- 2023-10-16 02:34:23
@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}},
keywords = {{electromagnetic induction; ground conductivity meter EM38; soil; salinity; oasis; gypsiferous soil; water table}},
language = {{eng}},
number = {{7}},
pages = {{1473--1486}},
publisher = {{Taylor & Francis}},
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}},
doi = {{10.1080/02626667.2012.717701}},
volume = {{57}},
year = {{2012}},
}