Wecheonwu Bright Chinyeze, Nwude Afam Anthony, Wopara Charles Chimekwa, Adiele Joseph Chibuike, Ekwebelem Ezichi | International Journal of Analytical and Applied Chemistry | Vol 11, Issue 02
Abstract
Regression analysis is a statistical tool or method used to estimate the relationship between dependent variable and one or more independent variables. The diffusion and statistical model of heavy metals in soil are critical factors influencing pollutant migration and environmental remediation strategies. Understanding the diffusion and statistical method of analyzing the adsorption of heavy metals in soils is crucial for assessing environmental contamination and designing effective remediation strategies. This study investigated the diffusion behavior of heavy metals in soil media under varying time and heights, employing regression analysis and validated through experimental measurements. Experimental results revealed that increasing the time and heights decreases the adsorption of heavy metals in soil. The slope and values of model and measurement of the heavy metals into consideration are the same in terms of time and height with values Pb(-0.1472, 0.9787), Cd(-0.0051, 0.9955) and Pb(-0.1288, 0.9787), Cd(-0.0051, 0.9955) respectively. These findings highlight the significant impact of time of adsorption and height on heavy metal transport in soils and demonstrate that the developed models offer valuable predictive capability for environmental assessments and remediation process design. Keywords: Statistical, Modelling, Heavy Metals; Diffusion, Waste Oil, Soil Contamination, Environmental Remediation, Regression Analysis.
Keywords
Environmental Remediation, Soil Contamination, Waste Oil, Modelling, Statistical, Heavy Metals; Diffusion, Regression Analysis
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How to cite this article
@article{ChinyezeWB2025,
author = {Wecheonwu Bright Chinyeze and Nwude Afam Anthony and Wopara Charles Chimekwa and Adiele Joseph Chibuike and Ekwebelem Ezichi},
title = {Statistical Modeling of Diffusion of Heavy Metals from Waste Oil in Soil Environment Using Regression Analysis},
journal = {International Journal of Analytical and Applied Chemistry},
year = {2025},
volume = {11},
number = {02},
url = {https://journalspub.com/publication/ijaac/article=22112}
}