Spatial variability assessment of Nile alluvial soils using electrical resistivity technique

Spatial information about soils generally results from local observations which are destructive and time consuming. Geophysical techniques could help soil mapping since they are non-destructive and fast. Electrical resistivity is interesting for soil studies due to a wide range of values and as it d...

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Main Authors: Gamal S. Swileam, Reda R. Shahin, Hamdy M. Nasr, Khalid S. Essa
Format: Article
Language:English
Published: Federation of Eurasian Soil Science Societies 2019-04-01
Series:Eurasian Journal of Soil Science
Subjects:
Online Access:http://ejss.fesss.org/10.18393/ejss.528851
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author Gamal S. Swileam
Reda R. Shahin
Hamdy M. Nasr
Khalid S. Essa
author_facet Gamal S. Swileam
Reda R. Shahin
Hamdy M. Nasr
Khalid S. Essa
author_sort Gamal S. Swileam
collection DOAJ
description Spatial information about soils generally results from local observations which are destructive and time consuming. Geophysical techniques could help soil mapping since they are non-destructive and fast. Electrical resistivity is interesting for soil studies due to a wide range of values and as it depends on soil characteristics. This work aims to study soil spatial variability using electrical resistivity. GPS defined grid points of 40X40 m were installed in the experimental western farm (EWF) in the Faculty of Agriculture of Cairo University in Giza. Electrical resistivity was measured at 40 points using 4-electrodes Wenner array in a line perpendicular to the path direction. Soil resistivity data from 2-depths profiling mode was considered to produce two apparent resistivity maps and geostatistically tested. Soil resistivity taxa were sampled and analyzed for soil moisture, EC and bulk density. Krigged soil resistivity maps were produced for depths (i.e. 30 and 60 cm). Kriging and Semivariogram interpretation was conducted, and the spatial dependency of top and subsoil resistivity were moderate (48.4% and 68.6% respectively). Highly significant negative correlations were recorded in the topsoil between apparent or true resistivity and soil moisture, EC or bulk density. The obtained models were used to produce conjugated moisture and EC maps and geostatistically investigated. The spatial dependency of the top and subsoil moisture or salinity were moderate. Soil moisture and EC are the most significant factors for controlling soil electrical resistivity. The method used opens the way to the development of semi-automatic soil mapping from electrical resistivity data.
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spelling doaj.art-aadc3fd28e3a4122bd77800a2c4971222023-09-02T11:31:02ZengFederation of Eurasian Soil Science SocietiesEurasian Journal of Soil Science2147-42492147-42492019-04-018211011710.18393/ejss.528851Spatial variability assessment of Nile alluvial soils using electrical resistivity techniqueGamal S. Swileam0Reda R. Shahin1Hamdy M. Nasr2Khalid S. Essa3Department of Soil Science, Faculty of Agriculture, Cairo University, Giza, EgyptDepartment of Soil Science, Faculty of Agriculture, Cairo University, Giza, EgyptDepartment of Soil Science, Faculty of Agriculture, Cairo University, Giza, EgyptDepartment of Geophysics, Faculty of Science, Cairo University, Giza, EgyptSpatial information about soils generally results from local observations which are destructive and time consuming. Geophysical techniques could help soil mapping since they are non-destructive and fast. Electrical resistivity is interesting for soil studies due to a wide range of values and as it depends on soil characteristics. This work aims to study soil spatial variability using electrical resistivity. GPS defined grid points of 40X40 m were installed in the experimental western farm (EWF) in the Faculty of Agriculture of Cairo University in Giza. Electrical resistivity was measured at 40 points using 4-electrodes Wenner array in a line perpendicular to the path direction. Soil resistivity data from 2-depths profiling mode was considered to produce two apparent resistivity maps and geostatistically tested. Soil resistivity taxa were sampled and analyzed for soil moisture, EC and bulk density. Krigged soil resistivity maps were produced for depths (i.e. 30 and 60 cm). Kriging and Semivariogram interpretation was conducted, and the spatial dependency of top and subsoil resistivity were moderate (48.4% and 68.6% respectively). Highly significant negative correlations were recorded in the topsoil between apparent or true resistivity and soil moisture, EC or bulk density. The obtained models were used to produce conjugated moisture and EC maps and geostatistically investigated. The spatial dependency of the top and subsoil moisture or salinity were moderate. Soil moisture and EC are the most significant factors for controlling soil electrical resistivity. The method used opens the way to the development of semi-automatic soil mapping from electrical resistivity data.http://ejss.fesss.org/10.18393/ejss.528851Soil resistivityWenner profilingsoil moisturesoil salinitymappingspatial dependency.
spellingShingle Gamal S. Swileam
Reda R. Shahin
Hamdy M. Nasr
Khalid S. Essa
Spatial variability assessment of Nile alluvial soils using electrical resistivity technique
Eurasian Journal of Soil Science
Soil resistivity
Wenner profiling
soil moisture
soil salinity
mapping
spatial dependency.
title Spatial variability assessment of Nile alluvial soils using electrical resistivity technique
title_full Spatial variability assessment of Nile alluvial soils using electrical resistivity technique
title_fullStr Spatial variability assessment of Nile alluvial soils using electrical resistivity technique
title_full_unstemmed Spatial variability assessment of Nile alluvial soils using electrical resistivity technique
title_short Spatial variability assessment of Nile alluvial soils using electrical resistivity technique
title_sort spatial variability assessment of nile alluvial soils using electrical resistivity technique
topic Soil resistivity
Wenner profiling
soil moisture
soil salinity
mapping
spatial dependency.
url http://ejss.fesss.org/10.18393/ejss.528851
work_keys_str_mv AT gamalsswileam spatialvariabilityassessmentofnilealluvialsoilsusingelectricalresistivitytechnique
AT redarshahin spatialvariabilityassessmentofnilealluvialsoilsusingelectricalresistivitytechnique
AT hamdymnasr spatialvariabilityassessmentofnilealluvialsoilsusingelectricalresistivitytechnique
AT khalidsessa spatialvariabilityassessmentofnilealluvialsoilsusingelectricalresistivitytechnique