compared with current
thinning regime, increased thinning thresholds
enhanced carbon stocks in Finland under current and
changing climate. This also enhanced timber
production during 2040-2069 (2nd period) and energy
wood production at final felling during 2040-2069
and 2070-2099 (3rd period).
Results
Contact info
The ecosystem model - Sima (Kellomäki et al., 1992a,
b; Kolström, 1998) was used
/media/ces/CES_BioFuels_Flyer_new.pdf
)
Best case (1.5 C increase; 2%
increase in prec)
BAU A B
Change +30 % C D
Scenario
combination
Impact
Adaptation measures
North South North South
A *
CC: Possible increase in the
amount of snow more
snow clearing increase in
operational costs
S-E: increase in traffic
volume increased wear of
roads increase in
maintenance cost.
**
CC: Possibly less snow,
more rain
/media/loftslag/Group3-The-future-of-the-Finnish-national-road-network.pdf
costs
B *
CC: No change
S-E: increase in traffic volume
increased wear of roads
increase in maintenance cost
**
Possibly more snow increase in
operational costs
C ** ***
CC: Less snow, more rain
Increase in freeze/thaw cycles
less snow clearing, more salting
needed, increase in frequency of
extreme weather events (flooding)
D ** **
CC: Increase in freeze/thaw
/media/loftslag/Group3-Road-scenarios.pdf
Vision for Proactive Climate Change Adaptation in the Danish Water Sector
Speaker: Helle Katrine Andersen, DANVA hka@danva.dk
To inspire water utilities to develop climate change adaptation strategies and to implement
CC adaptation solutions The Danish Water and Waste Water Association (DANVA) has
developed a vision for Proactive Climate Change Adaptation in the Water Sector
/media/loftslag/Helle_Katrine_Andersen_(DANVA,_Dk).pdf
Swe). CLIMATOOL
12:15 - 13:15 lunch
13:15 p6 Rolf Johnsen (Region Midt, Dk). Climate change adaptation - Collaboration and innovation in society, science and industry is needed
13:45 - 15:15 parallel break-out sessions:
Case A: Local but comprehensive case: Horsens fjord - Introduction by Jes Pedersen
Case B: Road infrastructure planning & operation case - Introduction Heikki Tuomenvirta
/nonam/workshop/program/
less than
10/10
9+
10/10 10
Undetermined or unknown x
Concentration (C)
C – Total concentration of ice in the area, reported in tenths (see symbols in table 3.1).
Note: Ranges of concentration may be reported.
Ca Cb Cc – Partial concentrations of thickest (Ca), second thickest (Cb) and third thickest (Cc)
ice, in tenths.
Note: Less than 1/10 is not reported. 10/10 of one stage of development
/media/hafis/frodleikur/ice-chart_colour-code-standard.pdf
Figure 8. Stations ranked according to their average CC for the 20 highest rainfall daily events.
................................................................................................................................................... 33
Figure 9. Ranked values of the 50 highest 24-hour accumulated precipitation events plotted
against ranked values of the 50 highest daily precipitation
/media/vedurstofan-utgafa-2020/VI_2020_008.pdf
).
Nevertheless, the results presented in this research are not
able to indicate: (a) whether the implemented measures are
working properly or whether their quality and scale is suf-
ficient to deal with the problems they are designed for; (b) if,
how and when the planned measures will be really imple-
mented and whether there will be complications during
implementation (e.g. delays, insufficient
/media/loftslag/Huntjens_etal-2010-Climate-change-adaptation-Reg_Env_Change.pdf
erations
which will be
done to protect
against th e
phenome na a nd
its
conse quenc es
The
consequenc es
of the
phenom ena to
the distribution
network
T he
con seque nc
es of the
phe nom ena
to the
pow er
plant
The conse quence s
of the phe nomena
to e nerg y sourc e
and its usability
Probability
according
to IP CC
2007
Phe nom ena acco rding
to regional scena rio
/media/ces/Keranen_Jaana_CES_2010.pdf
The observed travel time differences already mentioned can either be obtained from absolute times of
measured (picked) phase arrivals (logged in earthquake catalogs) or as relative times between phases
measured with cross-correlation (CC) of waveforms. CC between closely spaced earthquakes can give
highly accurate relative time differences between phases, and can correct bad picks from
/media/norsem/norsem_begga.pdf