Estimate and mapping salinity distribution in some soils of Egypt by using electromagnetic induction instrument [electronic resource]
Language: English Summary language: Arabic Description: p. 133–144Other title:- تقدير و إنتاج خرائط توزيع ملوحة التربة في بعض الأراضي المصرية بالإستعانة بجهاز الحث الكهرومغناطيسي [Added title page title]
- Menuofia journal of soil science, 2020 v. 5, (June) [electronic resource].
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Main | ART MJSS V5 June 2 (Browse shelf(Opens below)) | Available |
Includes references.
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.
Summary in Arabic.
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