Table 4 Linear regression model coefficient statistics.

Parameters	Project	Unstandardized coefficient		Standardization coefficient	t	Significance	R²
Parameters	Project	B	Standard error	Beta	t	Significance	R²
K⁺	Constant	3.104	0.553		5.616	0	0.721
	S1	2.415	0.23	0.828	10.507	0
	S2	0.64	0.23	0.219	2.783	0.008
Na⁺	Constant	− 10.499	3.81		− 2.756	0.009	0.884
	S1	28.283	1.584	0.906	17.853	0
	S2	8.196	1.584	0.262	5.173	0
Ca²⁺	Constant	6.899	6.536		1.055	0.297	0.716
	S1	3.893	2.718	0.114	1.432	0.159
	S2	28.968	2.718	0.846	10.657	0
Mg²⁺	Constant	1.176	1.322		0.889	0.379	0.773
	S1	0.569	0.55	0.08	1.035	0.306
	S2	6.13	0.55	0.859	11.15	0
HCO₃⁻	Constant	11.665	6.72		1.736	0.09	0.931
	S1	− 2.504	2.795	− 0.035	− 0.896	0.375
	S2	68.705	2.795	0.966	24.585	0
NO₃⁻	Constant	1.892	1.421		1.332	0.19	0.557
	S1	4.3	0.591	0.722	7.275	0
	S2	− 1.413	0.591	− 0.237	− 2.39	0.021
Cl⁻	Constant	− 10.411	6.222		− 1.673	0.102	0.89
	S1	49.56	2.588	0.946	19.152	0
	S2	1.71	2.588	0.033	0.661	0.512
SO₄²⁻	Constant	− 9.983	6.852		− 1.457	0.152	0.686
	S1	20.507	2.85	0.601	7.197	0
	S2	19.868	2.85	0.582	6.972	0

B represents the regression coefficient and intercept (constant term); S1 and S2 represent the regression coefficients of source 1 and source 2 for each element factor, respectively; t represents the t-test process value, which is the result of dividing B by the standard error; R² represents the coefficient of determination.

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