Amal Al-Hafary ^{* (1)} ,  Hani Ibraheem⁽²⁾and  Mohammad Saed Al-Shater⁽¹⁾

(1). Department of soil sciences, Faculty of Agriculture Engineering, Damascus University, Damascus, Syria.

(2). General Organization of Remote Sensing, Damascus, Syria.

(*Corresponding author: Amal Al-Hafary, E-mail amalalhafary8@gmail.com).

Received: 12/11/2023           Accepted: 26/02/2024

Abstract: 

The research was completed in the Eastern Ghouta area of Damascus countryside governorate in 2022-2023 with an area of 211 km2, field samples were collected from 72 sites with two depths (0-30 and 30-60 cm), totaling 144 samples, and the coordinates for each point were documented using a GPS device. Some analyzes were performed (mechanical composition, pH, EC, organic matter, field capacity), the linear regression equation was applied to predict future values of field capacity based on primary soil data, then maps were drawn showing the spatial distribution of field amplitude values for both depths in the study area using Model Maker in ERDAS IMAGINE satellite image processing software. The results showed that the majority of the soils of the studied area were clayey texture, non-saline, with a pH light to medium alkalinity, and a variation in the content of the soil of organic matter. The results also showed that the values of field capacity as moisture and weight content were high in most samples, a strong positive significant correlation was observed between field capacity on the one hand and both salt, clay and organic matter.

Keywords: Field Capacity, Mathematical Model, Functional Equations, Linear Regression, Eastern Ghouta. 

Full paper in Arabic: PDF