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

Table 3

Premonsoon input-output correlation matrix.

Variables		(meq/l)		MH			TDS	EC (dS/m)		SAR	KR	SSP	%Na	PI			pH
	1
(meq/l)	0.043	1
	0.032	−0.168	1
MH	0.050	0.040	−0.239	1
	0.058	−0.083	0.465	0.682	1
	0.061	−0.028	0.453	0.296	0.683	1
TDS	−0.067	0.206	0.264	0.023	0.309	0.334	1
EC (dS/m)	−0.090	0.166	0.135	0.054	0.222	0.240	0.887	1
	−0.055	0.211	−0.087	0.046	−0.013	0.100	0.522	0.586	1
SAR	−0.047	0.223	−0.233	−0.059	−0.188	−0.016	0.474	0.550	0.971	1
KR	−0.036	0.224	−0.320	−0.132	−0.286	−0.082	0.433	0.510	0.910	0.982	1
SSP	−0.011	0.257	−0.422	−0.190	−0.419	−0.190	0.280	0.401	0.820	0.908	0.937	1
%Na	−0.069	0.295	−0.472	−0.228	−0.490	−0.233	0.203	0.295	0.729	0.837	0.884	0.948	1
PI	0.210	0.281	−0.574	−0.307	−0.615	−0.332	0.100	0.213	0.584	0.729	0.804	0.912	0.893	1
	−0.216	0.094	0.015	0.002	−0.014	−0.014	−0.181	−0.277	−0.207	−0.197	−0.178	−0.172	0.126	−0.175	1
	−0.020	0.060	0.043	0.051	0.081	0.083	0.255	0.235	0.154	0.139	0.125	0.110	0.070	0.048	−0.107	1
pH	0.002	0.134	−0.227	0.099	−0.022	0.085	0.166	0.149	0.153	0.182	0.202	0.197	0.167	0.225	−0.125	0.247	1