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171232

ESTIMATE AND MAPPING SALINITY DISTRIBUTION IN SOME SOILS OF EGYPT BY USING ELECTROMAGNETIC INDUCTION INSTRUMENT

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Last updated: 26 Dec 2024

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Abstract

Remote sensing techniques such as electromagnetic induction (EMI), and electric resistivity are recently used to study soil salinity, water table depth and soil mineralogy in the field. Electromagnetic induction (EMI) is a useful mean of assessing soil salinity in the large areas, particularly after its calibration on different soils. The aim of this work is to estimate and mapping soil salinity distribution for some soils of Egypt by using EMI 400 instrument. Three Egyptian soil parts were chosen for this study from saline and non-saline calcareous soils in El Nubaria area as well as sandy soils in El Sadat area. EMI 400 instrument was used to predict, record and calculate the salinity in the field using three frequency bands of 14, 15 and 16 KHz for these parts. On the other hand, soil samples were collected from the surface and subsurface layers of these parts for determining salinity in the lab using EC meter apparatus. The correlation between the EMI readings and the lab determined EC values were statistically analyzed and results could be summarized in the following: The statistical analyses indicated that, there are a highly significant correlation coefficients between EMI readings at the three frequency bands and the lab determined ECe values of each layer in all studied parts. The highest correlation coefficients were found with the EMI readings at 15 KHz. Moreover, multi factorial as well as simple regression equations were derived from the statistical analyses to calculate the soil salinity (ECc) from EMI readings in the field. The most suitable equation for calculating soil ECc was that based on instrument readings at frequency band 15KHz alone. Spatial salinity distribution maps were produced and presented for both surface and subsurface layers of the studied parts whether based on lab determined ECe or calculated ECc from EMI instrument readings.

DOI

10.21608/mjss.2020.171232

Keywords

Remote Sensing, electromagnetic induction (EMI), Soil salinity, ECE, sandy soil, Calcareous soil, regression equation

Authors

First Name

R. K.

Last Name

Yacoub

MiddleName

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Affiliation

RS and GIS Unit, Soils, water, and Environment Research Inst., Agric. Res. Center, Giza

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Orcid

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First Name

M. S.

Last Name

Amira

MiddleName

-

Affiliation

Soil Sci. Dept., Fac. of Agric., Menoufia Univ. Shebin El-Kom, Egypt.

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Orcid

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First Name

F.E. Abu-

Last Name

Agwa

MiddleName

-

Affiliation

Soil Sci. Dept., Fac. of Agric., Menoufia Univ. Shebin El-Kom, Egypt.

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Orcid

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First Name

M.

Last Name

Ismail

MiddleName

-

Affiliation

RS and GIS Unit, Soils, water, and Environment Research Inst., Agric. Res. Center, Giza

Email

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City

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Orcid

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First Name

E. A. Abou

Last Name

Hussien

MiddleName

-

Affiliation

Soil Sci. Dept., Fac. of Agric., Menoufia Univ. Shebin El-Kom, Egypt.

Email

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City

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Orcid

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First Name

W.M. Abou El

Last Name

Nour

MiddleName

-

Affiliation

RS and GIS Unit, Soils, water, and Environment Research Inst., Agric. Res. Center, Giza

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-

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Volume

5

Article Issue

4

Related Issue

24926

Issue Date

2020-06-01

Receive Date

2021-05-22

Publish Date

2020-06-01

Page Start

133

Page End

144

Print ISSN

2357-0822

Online ISSN

2735-3524

Article File

MJSS_Volume 5_Issue 4_Pages 133-144.pdf

PDF . 2.7MB

Link

https://mjss.journals.ekb.eg/article_171232.html

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https://mjss.journals.ekb.eg/service?article_code=171232

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2

Type

original papers

Type Code

1,403

Publication Type

Journal

Publication Title

Menoufia Journal of Soil Science

Publication Link

https://mjss.journals.ekb.eg/

MainTitle

ESTIMATE AND MAPPING SALINITY DISTRIBUTION IN SOME SOILS OF EGYPT BY USING ELECTROMAGNETIC INDUCTION INSTRUMENT

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Article

Created At

23 Jan 2023