Geography Reference
In-Depth Information
Table A5.2. Summary of studies used in the comparative assessment of mean annual runoff inter-annual variability estimation
Error
(RMSE
in mm/
yr)
Climate zone
(Köppen classes)
PA (mm/
yr)
Elevation
(m a.s.l.)
No. of
catchments
Period/No.
of years
Regionalisation
method
Predicted
variable
Performance
(r 2 )
Used
in L1
Area (km 2 )
Study
Region
q A (mm/yr)
4 - 464·10 4
McMahon et al.
( 2011 )
Global
Global
72 - 3566
3 - 3126
699
10 to 172 yrs IM
CV qA
0.52 - 0.57
65 - 1223 X
712 - 2450
0.23 - 0.64
Komatsu et al.
( 2011 )
Japan, New
Zealand,
USA
Humid (Cfa, Cfb)
82
R(P A )
CV qA
X
4 - 464·10 4
Peel et al. ( 2010 ,
2004b)
Global
Global
72 - 3566
3 - 3126
699
10 to 172 yrs R(CV PA , E pA , φ )CV qA
0.17 - 0.68
X
Zhang et al.( 2008a ) Australia
Humid (Cfa, Cfb, Csa,
Csb, BSk, Aw)
50
-
2000
282
-
2886
265
IM
CV qA
0.87
X
Yang et al.( 2007 )
China
Cold (E, Dwc, Bsk)
272
-
94 800
150
-
750
108
1951
-
2000
IM
CV qA
0.68
X
McMahon et al.
( 2007b )
Global
Global
115
-
65 200
1221
15 to 58 yrs R(A)
CV QA
0.94
X
Bren et al.( 2006 )
Southern
Australia,
South
Africa
Humid (Cfa, Cfb)
0.1 - 3.2
737 - 1400
8
8 to 35 yrs
R(P A , plant age) CV qA
54 - 96
X
Sankarasubramanian
and Vogel ( 2002 )
Continental
USA
Global (Cfa, Dfa, Dfb,
Bsk, Bsw, Csa,
Csb, Dfc)
458
min 10 yrs
R( φ , soils)
CV qA /CV PA
0.85
X
Vogel et al.( 1997 )
North-
eastern
USA
Cold (Dfb, Dfc)
5 - 18 130
166/166
1951 - 80
R(P A , T A , A,
relief)
CV QA
0.98
X
R(pred1, pred2, ): regression method with predictors pred1, pred2,
IM: index method
No. of catchments (calibration/validation)
CV QA : inter-annual variability of the mean annual runoff
CV qA : inter-annual variability of the specific mean annual runoff
CV qA /CV PA : ratio between inter-annual variability of specific mean annual runoff and mean annual precipitation
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