Constructing a Method for an Evaluation Index System Based on Graph Distance Classification and Principal Component Analysis

Table 1

Standardized data of the seepage indexes.

Number	Indexes	Dam section
		A	B	C	D	E	F
1	pH	−0.89367	−1.02547	0.71194	−0.45632	0.10684	1.55668
2	U	−1.25434	0.07486	1.7085	0.2027	−0.67672	−0.055
3	Ra	−0.75681	−0.65197	1.85449	−0.38958	−0.48067	0.42452
4		−0.98028	0.09968	1.8813	−0.18001	−0.65595	−0.16473
5		−0.57751	1.30033	−0.57767	1.27698	−0.70983	−0.71231
6	^230Th	−1.02349	1.45878	−0.88318	0.92995	−0.06296	−0.41911
7	∑Th	−0.97383	1.58721	−0.49956	0.8853	−0.49956	−0.49956
8	^210Po	−0.69878	−0.02688	−1.15568	−0.48377	1.45132	0.91379
9	^210Pb	−0.69117	1.34045	−0.71211	1.23573	−0.62834	−0.54456
10	NH4-N	−0.63823	−0.31411	2.00895	−0.11289	−0.46543	−0.47828
11	Mn	−0.41453	1.10042	−0.50982	1.36143	−0.36757	−1.16993
12	F^−	−1.4763	0.08122	0.10938	−0.56603	0.30652	1.5452
13	SO4^2−	−0.61445	−0.48732	−0.15679	−0.26697	−0.48732	2.01286
14	NO3^−	−0.41206	−0.41348	−0.40372	−0.41126	−0.40069	2.04122
15	Zn	−0.81908	0.26535	−1.00956	−0.74023	1.29041	1.01311
16	Cd	−0.64282	−0.64282	−0.64282	−0.64282	1.42955	1.14172