All data samples mainly include cations (Ca²⁺, Mg²⁺, Na⁺), anions (⁠⁠, ⁠, Cl⁻), PH value, and total hardness (TH) as the original discriminant indicators using the principal component analysis (PCA) method for processing. Among them, the correlation coefficient matrix between various water source components is shown in Table 1.

Table 1

Linear correlation coefficient matrix between various water source components

.	Ca2+ .	Mg2+ .	Na+ .	.	.	Cl− .	PH .	TH .
Ca2+	1.000
Mg2+	0.893	1.000
Na+	−0.855	−0.790	1.000
	−0.728	−0.649	0.967	1.000
	−0.175	−0.185	0.403	0.389	1.000
Cl−	−0.043	0.213	0.038	0.081	−0.144	1.000
PH	−0.595	−0.498	0.490	0.402	−0.148	0.113	1.000
TH	0.536	0.319	−0.394	−0.344	0.081	−0.628	−0.349	1.000

.	Ca2+ .	Mg2+ .	Na+ .	.	.	Cl− .	PH .	TH .
Ca2+	1.000
Mg2+	0.893	1.000
Na+	−0.855	−0.790	1.000
	−0.728	−0.649	0.967	1.000
	−0.175	−0.185	0.403	0.389	1.000
Cl−	−0.043	0.213	0.038	0.081	−0.144	1.000
PH	−0.595	−0.498	0.490	0.402	−0.148	0.113	1.000
TH	0.536	0.319	−0.394	−0.344	0.081	−0.628	−0.349	1.000

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