Predicting Irrigation Water Quality Indices Based on Data-Driven Algorithms: Case Study in Semiarid Environment

Table 4

Postmonsoon input-output correlation matrix.

Variables	(meq/l)		SAR	KR	SSP	%Na	PI		MH		EC (dS/m)	TDS					pH
(meq/l)	1
	0.043	1
SAR	0.114	0.924	1
KR	0.166	0.794	0.963	1
SSP	0.161	0.784	0.944	0.974	1
%Na	0.154	0.756	0.921	0.955	0.970	1
PI	0.155	0.271	0.544	0.699	0.718	0.707	1
	−0.102	0.175	−0.120	−0.305	−0.293	−0.315	−0.593	1
MH	−0.009	0.007	−0.042	−0.093	−0.080	−0.082	−0.118	0.669	1
	0.002	0.246	0.027	−0.099	−0.087	−0.080	−0.355	0.420	0.020	1
EC (dS/m)	−0.023	0.463	0.174	−0.004	−0.013	−0.049	−0.394	0.528	−0.073	0.541	1
TDS	−0.119	0.442	0.160	−0.014	−0.025	−0.039	−0.404	0.489	−0.099	0.545	0.894	1
	−0.096	0.207	−0.103	−0.267	−0.292	−0.314	−0.607	0.403	−0.345	0.486	0.802	0.790	1
	−0.132	0.141	−0.025	−0.113	−0.159	−0.079	−0.366	0.265	−0.074	0.452	0.447	0.505	0.515	1
	−0.035	0.126	0.070	0.023	−0.005	0.211	−0.095	0.082	0.025	0.125	0.001	0.075	0.067	0.330	1
	−0.044	0.014	0.015	0.001	0.014	−0.039	0.236	0.102	0.178	−0.206	−0.016	−0.036	−0.098	−0.227	−0.146	1
pH	0.045	0.023	0.082	0.121	0.108	0.053	0.164	−0.047	0.027	−0.141	0.013	−0.075	−0.092	−0.212	−0.196	0.224	1