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operational cost, etc.) and the annual
revenues
• consider an appropriate discount rate and assess NPV (net present
value), IRR (internal rate of return), and net cash flows
• rank alternatives by score level
• SCBA: social CBA – total benefits -/- total costs for society, in this
case benefits and costs often don’t accrue (entirely) to the same
organisation due to the public nature of a project
/media/loftslag/Perrels-CBA.pdf
such as
irrigation, CO2 effects on transpiration, and land use changes affect the water balance to a
lesser extent.
Citation: van Roosmalen, L., T. O. Sonnenborg, and K. H. Jensen (2009), Impact of climate and land use change on the hydrology of
a large-scale agricultural catchment, Water Resour. Res., 45, W00A15, doi:10.1029/2007WR006760.
1. Introduction
[2] The most recent Intergovernmental Panel
/media/loftslag/vanRoosmalen_etal-2009-WRR_2007WR006760.pdf
/EPP 2
Stakeholders analysis
26 August 2011 PM/YZ/EPP 3
Stake
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eighbour mun
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/media/loftslag/Group5-Stakeholders_involvement.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
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/media/loftslag/Guidelines2-for-rapporteurs.pdf
tíðnidreifingarinnar (e. General Extreme Value distribution)
en sú seinni stika GP tíðnidreifingarinnar (e. General Pareto distribution). Einnig finnast fleiri
aðferðir til að aðlaga útgildadreifingu að gögnunum, tvær sem eru skoðaðar í þessari skýrslu
eru hámarkssennileikamat (e. Maximum Likelihood Estimate) og L-moments aðferðin. Eftir
næmnisathuganir, sem beitt er á bæði úrkomumælingar og útreikninga er
/media/vedurstofan-utgafa-2020/VI_2020_008.pdf
(DGPS) equipment
in 2001. Continuous profiles, approximately 1 km apart,
were measured in the accumulation zone and a dense net-
work of point measurements were carried out in the abla-
tion zone. Digital Elevation Models (DEMs) of the surface
and bedrock were created from these data (Fig. 2; Björns-
son and Pálsson, 2004). The estimated errors are at most
1–5 m (bias less than 1 m) for the surface
/media/ces/Adalgeirsdottir-etal-tc-5-961-2011.pdf
) and changing climate (CC:CC)
1. Current climate (CU)
- varying thinning regimes
(0%, 15%, 30%,45%)
2. Changing climate (CC)
- varying thinning regimes
(0%, 15%, 30%,45%)
3. Current (CU) &
changing climate (CC)
- current thinning regime
4. Current (CU) &
changing climate (CC)
- changed thinning regimes
C
l
i
m
a
t
e
s
c
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a
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i
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s
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o
f
c
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a
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e
p
/media/ces/CES_BioFuels_Flyer_new.pdf
Time
Main assortments
ll d Energy biomassSaw ogs Pu pwoo
Small trees Residues Stumps
5
Use of biomass based energy in Finland
Pellets
1% (0.5 Mm3)
S d tForest residues
and small trees
used as chips
9% (3.4 Mm3)
aw us
9% (3.4
Mm3)
Black liquorTraditional
Energy biomass
46 TWh (55%) qu45% (18 Mm3)firewood
15% (6 Mm3)
Bark
21% (8.4 Mm3)
Energy biomass: 20% of the primary energy production
/media/ces/Alam_Ashraful_CES_2010.pdf
to
fschoo
lcurricul
a
Savenij
ean
d
Va
n
de
rZaa
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(200
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al
.(
198
3)
7.
Wate
reducatio
n
IWR
M
is
regularl
y
introduce
d
in
educational/capacit
y
buildin
g
program
s
fo
r
wate
r
professional
s
Savenij
ean
d
Va
n
de
rZaa
g
(200
0),
Rondinell
ie
t
al
.(
198
3)
(C
)Governanc
e
4.
Typ
e
o
fgovernanc
e
Consensua
l(bottom-up
)governanc
e
versu
s
top–dow
n
governanc
e
(governanc
e
/media/loftslag/Huntjens_etal-2010-Climate-change-adaptation-Reg_Env_Change.pdf