Predicting Surface Runoff from Catchment to Large Region

Table 2

Summary of regionalization approaches conducted using large datasets.

Method	Comparing	Model	Region/country	References
AM; Reg	Average of nested neighbors is better than Reg (global or regional)	HBV	308 catchments in Austria	[19]
PS; Reg	Output averaging based on PS is better than Reg	PDM	127 catchments in UK	[103]
AM; SP; PS; Reg	SP (Kriging) and PS perform best; all regionalization methods perform similarly in simulating snow cover	HBV	320 catchments in Austria	[96]
PS; Reg	For PDM, PS performs slightly better than the Reg, whereas for TATE Reg performs best	PDM; TATE	119 catchments in the UK	[104]
Reg; PS	The regression-based approach is better than the nearest neighbor based approach	PDM	260 catchments in UK	[14]
SP; PS; Reg	SP is the best, Reg is the least satisfactory, and PS is intermediary	GR4J, TOPMO	913 catchments in France	[15]
SP; PS	SP is better than PS	Xinanjiang	210 catchments in southeast Australia	[97]
SP; PS; Reg	An optimized averaging method (based on PS) is superior to Reg and SP approaches	SIMHYD	184 catchments in Australia	[98]
SP; PS	SP performs slightly better than PS and the integrated similarity approach performs only very marginally better than SP	Xinanjiang; SIMHYD	210 catchments in southeast Australia	[12]
SP; PS; Reg; HS	The index model that establishes relationships between hydrological signatures and catchment attributes is the best, followed by Reg, HS, and SP	Three-parameter FDC	227 catchments in southeast Australia	[101]
HS	HS based on FDC produces better runoff simulation compared to the others (drainage area and spatial proximity)	HBV	Karkheh river basin, western part of Iran	[100]
SP; PS; Reg	An approach coupling the SP (IDW) and the PS is better than SP, PS, and Reg	MAC-HBV	The main watersheds across the province of Ontario	[93]
SP; PS	SP is better than PS	SIMHYD and GR4J	8 catchments in the southeastern Tibetan Plateau	[105]
SP; Reg	An index model that establishes relationships between hydrological signatures and catchment attributes is better than SP for getting salient flow characteristics	An index model and GR4J	228 catchments in southeast Australia	[106]

AM: arithmetic mean method; SP: spatial proximity method; PS: physical similarity method; Reg: regression methods; HS: hydrological similarity method.