is the difference between adaptation and adaptive management?
10:20 p3 Trausti Jónsson (IMO, Ice). The UN International Strategy for Disaster Reduction (ISDR) - the WMO method and its application in Iceland
10:50 tea/coffee break
11:15 p4 Tony Rosqvist (VTT, Fin). Group Decision Support Systems - its principles and an application to a flood risk reduction case
11:45 p5 Annika Carlsson-Kanyama (FOI
/nonam/workshop/program/
Tony Rosquist (VTT, Fin) - Group Decision Support Systems - its principles and an application to a flood risk
reduction case
Tony Rosqvist Adriaan Perrels
VTT Technical Research Centre of Finland Finnish Meteorological Institute (FMI)
Finland Finland
A group decision-making exercise was organized in 2008 as part of an integrated assessment of selected
extreme weather events
/media/loftslag/Tony_Rosqvist_(VTT,_Fin).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
on the long- and on the
short-term before large earthquakes
Ragnar Stefánsson 10:10 – 10:40 Coffeebreak and poster session 10:40 – 12:10 Oral
session - Chair: Peter H. Voss 10:40
– 11:00 High-rate GPS
seismology in Iceland Halldór
Geirsson et al. 11:00
– 11:20 Rock
stress boundaries deduced from rock stress measurements
/norsem/norsem2016/program/thursday
developed for daily and instantaneous index floods. Several models were tested and their
parameters estimated by ordinary least square regression after logarithm transformation:
bµi(D) = a(Ai)
b (7)
bµi(D) = a(Ai=Li)
b (8)
bµi(D) = a(AiPmi)
b (9)
bµi(D) = a(AiPi)
b (10)
bµi(D) = a(AiPmi=Zi)
b (11)
bµi(D) = a(AiPi=Zi)
b (12)
Where q = (a;b) is the vector of regression parameters, A is the drainage area
/media/vedurstofan/utgafa/skyrslur/2014/VI_2014_001.pdf
+2αi )1+αi )
1−ri + (1 − pi1)(10 + 0.6xi1)1−ri
1 − ri
(11)
The first mover’s beliefs about the second mover’s type, i.e., the second mover’s β , and her
risk aversion both affect the optimal contribution. Depending on the second mover’s choice,
the first mover may earn the same as or less than the second mover. Regarding inequity
preferences, only the first mover’s disadvantageous inequity aversion
/media/loftslag/Public-Choice-2012---Teyssier---Inequity-and-risk-aversion-in-sequential-public-good-games.pdf
work on case studies
in break out groups, and plenary discussions. The 11 presentations that were given by
scientists and practitioners from all five Nordic countries covered theoretical aspects as well as
case studies. Abstracts and slides from the oral presentations are available at
http://en.vedur.is/nonam/workshop/. The two break-out groups worked on two different cases:
(a) The Horsens
/media/vedurstofan/NONAM_1st_workshop_summary_v3.pdf
Airborne Measurements of Volcanic Ash - results from Eyja and the new Met Office Civil
Contingency Aircraft Jonathan P. Taylor, UK Met Office
11:15 Observational systems for monitoring of volcanic ash Sibylle von Löwis, Geirfinnur S.
Sigurðarson, IMO
11:45 NAME dispersion model, an introduction Jonathan P. Taylor, UK Met Office
12:15 – 13:30 Lunch break
The volcanic ash problem
/media/vedurstofan/utgafa/hlidarefni/program17012012.pdf