Skip to content
Research Article Open access CC BY 4.0

Rapid Field Technique for Soil Salinity Appraisal in North Nile Delta Using EM38 through Some Empirical Relations

Hesham M. Aboelsoud, Mohamed A. E. AbdelRahman

International Journal of Plant & Soil Science · pp. 1–9 · Published 10 Mar 2017

10.9734/IJPSS/2017/30858

Abstract

Diagnosis of soil salinity and its spatial variability is required to establish control measures in irrigated agriculture. Soil salinity can vary temporally and spatially due to dynamic nature of soluble salts. For these reasons, practical methods for measuring soil salinity (ECe) are required to achieve faster, cheaper, and reliable surveys. Thus, the bulk soil electrical conductivity (ECa) was measured directly in the field using portable sensors (EM38) in vertical position (EMV) or horizontal position (EMH). Therefore, the objective of this research was to develop statistical relations between ECa and ECe and assess whether they could be applied for salinity predicting and mapping. The empirical relations were established to convert EM38 readings (ECa) in mSm-1 to ECe values in dSm-1 for different depths. So, ECe was determined in soil samples collected from 33 sites at depths of 0-30, 30-60 and 60-90 cm. Also, 33 EM readings (EMV and EMH) taken at soil sampling sites were used to derive equations for salinity prediction. Fifteen quadratic or multiple regression models were established to describe the relations between the original or logarithmic values of both ECa and ECe. The statistical comparison measurements; coefficient of determination (R2), simple correlation coefficient (r) and t-test were also used to evaluate the relationships between the actual and predicted ECe values to select the relevant models. So, two preferable models were chosen and one equation for each soil depth was derived from each selected model to be used for ECe predicting. These equations allow useful prediction of ECe using ECa values, since ECa values are regressed strongly with ECe values (R2 > 0.70). Also, the actual and the predicted ECe levels were highly correlated (r > 0.80), in addition to insignificant differences between them according to t-test.

Soil salinity EM38 prediction equations salinity map.

Cited by 19

Deciphering Soil Spatial Variability through Geostatistics and Interpolation Techniques

Mohamed A. E. AbdelRahman, Yasser M. Zakarya, Mohamed M. Metwaly · Sustainability · 2020

Geophysical Quantification of Water Percolation Quotient in an Alluvial Agricultural Soil

Florence Cassel, Shankar Sharma · Journal of Agricultural Science · 2017

GIS model-builder based on comprehensive geostatistical approach to assess soil quality

Mohamed A.E. AbdelRahman, Salah Tahoun · Remote Sensing Applications: Society and Environment · 2019

Frequency-domain electromagnetic sensing of leaching in a Californian substratum

Florence Cassel, Shankar Sharma · Environmental Earth Sciences · 2018

The combined impact of shallow groundwater and soil salinity on evapotranspiration using remote sensing in an agricultural alluvial setting

Hesham M. Aboelsoud, Ayman Habib, Bernard Engel · Journal of Hydrology: Regional Studies · 2023

Soil Salinity Estimation Based on Sentinel-1/2 Texture Features and Machine Learning

Yujie He, Haoyuan Yin, Yinwen Chen · IEEE Sensors Journal · 2024

Efficiency of Geostatistical Analysis and Kriging for Predicting Soil Available NPK in El-Kawthar Region, Sohag, Egypt

Abdel-Rahman A. Mustafa, Ali R. A. Moursy · Springer Proceedings in Earth and Environmental Sciences · 2023

Article metrics

Real usage data collected on this platform.

0

Page views

0

PDF downloads

0

Outbound clicks

19

Citations

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

No views recorded yet.

Traffic sources

Referring site, by host.

No traffic recorded yet.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.