Master

Sep 19, 2021 - Sep 14, 2023

Bachelor Degree

Oct 1, 2014 - Jul 1, 2018

Characterization of the Chemical Properties of Deposited Red Clay Soil Using GIS Based Inverse Distance Weighted Method in Kirkuk City, Iraq

Aug 15, 2023

Journal ECOLOGICAL ENGINEERING & ENVIRONMENTAL TECHNOLOGY

This study focuses on the physical and chemical properties of soils and their geographical distribution, with a specific focus on red clay. The inverse distance weighting (IDW) technique, integrated with Geographic Information Systems (GIS), was employed to predict the chemical characteristics of the soil. Sampling was conducted at twenty-one locations in three areas: Bor Mountain, Jambor, and Kirkuk Hills, all located within Kirkuk City. Seven soil properties were examined: acidity, organic matter content, total dissolved salts (TDS), gypsum, chlorides, and sulfates. The chemical analysis revealed that the soil pH ranged within an acidic range. One sample exhibited a high TDS level. Chloride levels varied within a specific range. The concentration of organic matter in the soil exhibited variability. Sulfur trioxide and gypsum concentrations were found to be below average in the study region. The IDW technique effectively mapped the distribution of the different soil parameters within Kirkuk City, demonstrating a range from good to excellent accuracy. Additionally, a cross-validation method was employed to assess the correlation between the fundamental and investigated chemical properties. The results showed good to excellent degrees of correlation in the different structures studied.

Red Clay Soil Physical and Chemical Properties Distribution Using Remote Sensing and GIS Techniques in Kirkuk City, Iraq

Jan 31, 2024

Journal Iraqi Geological Journal

This research focuses on the study of the physical and chemical properties of red clay found in the Injana and Fatha Formations. The aim is to establish correlations among various physical and chemical elements using geographic information system (GIS), remote sensing, and a regression analysis model. Laboratory analysis, including X-ray diffraction, was conducted to determine the properties of the clay, as well as nonclay minerals. Statistical Package for the Social Sciences software was utilized for regression analysis to determine property correlations. Landsat 7 and Landsat 8 images were employed to establish relationships between digital numbers and soil properties. The study revealed that the dry density of the Fatha Formation was lower than that of the Injana Formation. Silt content was highest among all samples, ranging from 28% to 93%. The Fatha Formation exhibited a high gypsum rate due to the presence of gypsum layers. Strong positive correlations were observed between gypsum and sulfate, as well as between electrical conductivity and total soluble salt. Multiple linear regression analysis was appropriate for clay properties, with regression coefficients ranging from 0.6 to 0.72. Nonlinear regression yielded better results than linear regression, with high regression coefficients. Landsat images proved valuable for obtaining data in remote or expansive areas. The association between clay characteristics and Landsat 8 provided superior results compared to Landsat 7

Assessment of Deposited Red Clay Soil in Kirkuk City Using Remote Sensing Data and GIS Techniques

Jun 1, 2024

Journal Nature Environment and Pollution Technology

Volume 23

This study investigates the physical characteristics of red clay using the IDW approach and linear regression modeling in an area of 268.12 km2 , focusing on Kirkuk, Bor, and Jambor structures. Through the analysis of 52 soil samples and the integration of laboratory data with IDW and regression results, several significant findings have emerged. The IDW method combined with linear regression proves to be a cost-effective and efficient approach for obtaining soil property data and generating accurate digital maps of red clay’s physical features. The Silt concentration exhibits a wide range, while the gravel content remains relatively low, indicating the predominance of silt in the soil composition. Analysis of Atterberg limits reveals the soil’s behavior and consistency in response to moisture, with the plasticity index generally falling within the low to medium range due to the considerable silt content in most soil samples. The linear regression model highlights positive correlations between the liquid limit, plastic limit, and plasticity index. Moderately positive relationships exist between the liquid limit and clay content, as well as a weak positive association between the liquid limit and specific gravity. Dry density, on the other hand, shows no significant correlation with other physical variables, suggesting its independence from the measured parameters. The plastic limit demonstrates a stronger relationship with the clay content compared to the liquid limit. Additionally, weak positive correlations are found between the liquid limit, plastic limit, and specific gravity and water content, indicating the influence of moisture on these parameters. Furthermore, gravel exhibits a moderate positive correlation with sand and silt concentrations, while a strong positive correlation is observed between sand and silt contents, underscoring their close association with the soil composition.