Spatial Variability of Some Soil Properties in Sahl Al-Hussainiyah, Sharkia Governorate, Egypt

Amer, Basma . S.; Moussa, Karam F.; Sheha, A. A.; Abdel-Fattah, Mohamed K.

doi:10.21608/zjar.2021.165677

Cited by 3 publications

(1 citation statement)

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“…In addition, knowledge of the temporal and spatial variations of soil properties is important to evaluate the effects of agricultural works on environmental characteristics (Arnous and Hassan 2006;Goenster-Jordan et al, 2018). The Kriging method is the most powerful and effective interpolation method used in geostatistics applications However, many researchers have used GIS and geostatistics techniques as decision tools in many agricultural applications for the spatial interpolation of soil characteristics, land evaluation, and land suitability assessment (Da Silva et al, 2015;Mevlut 2016;Chang et al, 2014;Swify et al, 2017;Yousif, 2019;Aldabaa and Yousif 2020;Elnaggar 2021;Amer et al, 2021;Selmy et al, 2020 andNada et al, 2022;Abdullahi et al 2023;Okashaa, 2023).…”

Section: Introductionmentioning

confidence: 99%

Characterization of The Spatial Variability of Some Soil Physicochemical Properties of The El-Gallaba Plain, New Aswan City, Aswan Governorate, Egypt.

Abd El-Aziz,

Ibrahim,

Mohamed

et al. 2024

Egypt.J. Soil Sci.

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HE MAJOR aim of the study was to assess and map the spatial variability of some soil properties in El-Gallaba Plain, New Aswan City, using a geostatistical technique. Forty topsoil samples were selected from forty profiles that were dug to represent the study area. The variability of the soil maps was drawn based on the ordinary kriging interpolation method based on the geostatistical analysis. The data indicates that most of the soil samples were rough in texture. The organic matter was extremely low in most soil samples (≤ 4.03 g kg −1 ). The salinity of soil paste extract (ECe) ranges from 0.84 to 28.21 dSm -1 . The soil reaction (pH) values of the surface soils vary between 7.69 and 8.89. The calcium carbonate values extend between 0.43 and 9.74 %. Gypsum contents in the soil samples range between 0.49 to 4.07%. The CEC of soil samples ranged between 3.73 and 25.35 cmolc ( + )/kg. The coefficient of variation of soil pH was low (CV<5%), medium for sand fraction (CV<25%), and the rest of the soil properties were high to very high in the coefficient of variation. The normal histogram and QQPlots analysis of the physicochemical properties of the studied soil samples was applied to make the data more normally distributed. Logarithmic transformation of the soil properties data was used to normalize highly skewed and distant datasets because ordinary kriging methods work best if the data are approximately normally distributed. The ordinary Kriging (OK) method was used in the present study as an interpolation method compared to other Kriging methods due to it being simple and having high accuracy for prediction. The data reveal that the Gaussian, J-Bessel, Exponential, Rational Quadratic, and K-Bessel are the best-fitted semivariogram models for all properties selected. Accurate maps efficiently generated using geostatistics were essential to properly understand the spatial variability of the area under study. This study gives useful information about the physical and chemical characteristics and the spatial diversity of this soil.

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