Statistical Modeling of Groundwater Pollution Using Logistic Regression

Aseel Ali  Jaaze; Rana Hasan Shamkhi; Mohanad Ne'ma

doi:10.5269/bspm.78472

Statistical Modeling of Groundwater Pollution Using Logistic Regression

Auteurs-es

Aseel Ali Jaaze Department of Pharmacognosy and Medicinal Plants, College of Pharmacy, University of Basrah, Iraq
Rana Hasan Shamkhi Department of Pharmacognosy and Medicinal Plants, College of Pharmacy, University of Basrah, Iraq
Mohanad Ne'ma Department of Computer Systems Techniques, Technical Institute/ Qurna, Southern Technical University

DOI :

https://doi.org/10.5269/bspm.78472

Résumé

Binary logistic regression is used to examine groundwater pollution and determine
the main contributing elements. Groundwater level, Northing coordinates, and Total
Dissolved Solids (TDS) were the hydrogeological and geographical variables that
were examined using SPSS. The study showed the significant impact of variables
on the state of pollution. The results provide important information for methods
to mitigate pollution and manage groundwater resources.