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Assessment Of Aquifer Vulnerability Due To Heavy Metals Using Ordinal Logistic Regression Analysis, N. K. Twarakavi, Jagath J. Kaluarachchi
Assessment Of Aquifer Vulnerability Due To Heavy Metals Using Ordinal Logistic Regression Analysis, N. K. Twarakavi, Jagath J. Kaluarachchi
Civil and Environmental Engineering Faculty Publications
A methodology using ordinal logistic regression is proposed to predict the probability of occurrence of heavy metals in ground water. The predicted probabilities are defined with reference to the background concentration and the maximum contaminant level. The model is able to predict the occurrence due to different influencing variables such as the land use, soil hydrologic group (SHG), and surface elevation. The methodology was applied to the Sumas-Blaine Aquifer located in Washington State to predict the occurrence of five heavy metals. The influencing variables considered were (1) SHG; (2) land use; (3) elevation; (4) clay content; (5) hydraulic conductivity; and …