[Retracted] Drought Assessment Based on Data Fusion and Deep Learning

Table 2

Copula functions for different stations.

Location	Station	Gaussian	T	Gumbel	Frank	Clayton	Selected function and parameter θ
Upper reaches	Tangnaihai	1.2443	1.2681	0.0490	0.1151	0.4732	Gumbel copula θ = 1.6008
	Shizuishan	3.6693	3.6773	0.0468	0.0548	0.0812	Gumbel copula θ = 1.0816
Middle reaches	Longmen	2.8618	2.8965	0.1403	0.0736	0.0639	Clayton copula θ = 0.4531
	Sanmenxia	2.3053	2.3308	0.0545	0.0603	0.0672	Gumbel copula θ = 1.2932
Lower reaches	Huayuankou	3.8682	3.8848	0.0619	0.0542	0.0617	Frank copula θ = 0.6412
	Lijin	3.9394	3.9606	0.1140	0.0959	0.0878	Clayton copula θ = 0.1540