1 Introduction ................................................................................................ 72 Study area and data ..................................................................................... 7
2.1 River basins .......................................................................................... 7
2.2 Streamflow data
/media/vedurstofan/utgafa/skyrslur/2015/VI_2015_007.pdf
all sites was calculated (RMSET ):
RMSET (%) =
1
N
N
i=1
v
u
u
t1
LLl=1
Qi(D;Tl) bQi(D;Tl)
Qi(D;Tl)
2
x100 (7)
where Qi(D;Tl) is the reference flood quantile at gauged site i and return period Tl , calculated
with the GEV distribution fitted to the observed AMF series and bQi(D;Tl) is the estimated flood
quantile, calculated with the IFM ( bQi(D;T ) = bµi(D)qR(D;T )). RMSET was ranked
/media/vedurstofan/utgafa/skyrslur/2015/VI_2015_009.pdf
(−ln(1−1/T))
Q(
T)
(m
?s)
1 2 5 10 20 50 100
T (years)
l Obs.
WaSiM vhm38
heM
95?bh Obs
95?bh W aSiM
95?bh heM
Annual max. Q : GEV Distributions for vhm38
Index flood model no. 3
Figure 8. As for Fig. 7 but for catchments vhm19 (top) and vhm38 (bottom), located in
Region 2. The solid red line corresponds to the distribution estimated with the IFM (Eqs.
1 and 9) developed with WaSiM
/media/vedurstofan/utgafa/skyrslur/2014/VI_2014_001.pdf
scenario Summer Winter
Temp ▲6˚c ▲7˚c.
Precip. +10% +30%
CO N l d bl2 ear y ou e
11
Forest management principles
1
)
Basal area just
before thinning
Thinning threshold
Energy
wood
Energy
biomass
a
r
e
a
(
m
2
h
a
-
1 thinningt i g
B
a
s
a
l
a
Basal area just
Remaining basal
area threshold
Dominant height (m)
after thinning
12
Management regimes
Changes in basal area thinning thresholds
/media/ces/Alam_Ashraful_CES_2010.pdf
). This can be helpful with respect to
finding a common structure in presenting as well in session reporting (for which angles
mentioned in the opening session statements of the Workshop participants can provide
checkpoints).”
Session rapporteur allocation
M
o
n
d
a
y
2
9
.
8
Y
u
a
n
g
Z
h
e
n
g
A
t
h
a
n
a
s
i
o
s
V
o
t
s
i
s
E
i
v
i
n
d
J
u
n
k
e
r
M
i
c
h
a
e
lL
a
i
h
o
H
e
c
to
r
/media/loftslag/Guidelines2-for-rapporteurs.pdf
o
p
e
r
a
t
i
o
n
s
L
e
a
rn
in
g
f
r
o
m
c
u
r
r
e
n
t
a
n
d
e
a
r
l
i
e
r
c
y
c
l
e
s
a
n
d
f
e
e
d
b
a
c
k
f
r
o
m
o
p
e
r
a
t
i
o
n
s
NONAM PhD course – Adaptive management in relation to climate change – Copenhagen 21-26/8/2011
……………………………………………………………………………………………………………………………………………………………………
7
Literature:
Andrey, J. (2010), Long-term trends in weather-related crash
/media/loftslag/Outline_for_the_case_Road_maintenance_in_a_changing_climate.pdf
t
/
c
o
s
t
ratio
H
i
g
h
L
o
w
S
c
enar
i
o
1
S
c
ena
r
io
2
Present time 20302020
Socio
E
c
onomic
D
e
v
elopme
n
t
Figure 1. Scenario building for AWM in Horsens Fjord
To estimate of the adaptation strategy (Table 2) we will use back-casting approach. The assessments
of the productivity of this approach are based on main big strategies which need to have an attention.
One of them
/media/loftslag/Group-1_Scenarios-for-AWM.pdf