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
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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