Integrated machine learning-bayesian receptor modelling framework for uncertainty-aware source apportionment in a non-stationary fluoride-contaminated coastal aquifer.

Bartlett’s test of sphericity was highly significant in both cases (χ 2 = 3903.1 and 3659.8, p < 0.001 for pre- and post-monsoon seasons respectively) (Table S6 ), indicating sufficient intercorrelation of variables and proving applicability of the PCA technique.

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