20 results were found for 手机买足球正规软件网址官方-【✔️访问㊙️315bet.net✔️】-365娱乐彩票官网开户下载-正规网赌软件排行榜开户官网-【✔️输入㊙️52bet.net✔️】-手机买足球正规软件网址官方-手机买足球正规软件网址官方-e世博网投-【✔️访问㊙️315bet.net✔️】.
course – Adaptive management in relation to climate change – Copenhagen 21-26/8/2011
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Figure 1. Flow chart summarizing information and decision flows of an adaptive management inspired
adaptation planning cycle for road transport (at national strategic / tactical level)
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in Finland
Noora Veijalainen a,*, Eliisa Lotsari b, Petteri Alho b, Bertel Vehviläinen a, Jukka Käyhkö b
a Freshwater Centre, Finnish Environment Institute, Mechelininkatu 34a, P.O. Box 140, FI-00251, Helsinki, Finland
b Department of Geography, FI-20014 University of Turku, Turku, Finland
a r t i c l e i n f o
Article history:
Received 7 January 2010
Received in revised form 13 June 2010
Accepted
/media/ces/Journal_of_Hydrology_Veijalainen_etal.pdf
the participatory process. The
concept of co-engineering introduced by Daniell et
al. (2010) can be seen in parallel to our
understanding of co-design. Thirdly, we look at the
outcomes of participatory processes, which we
divide into tangible outputs (e.g., decisions for water
management practice) and intangible outcomes (e.
g., learning and networking). The three aspects
studied correspond to the three
/media/loftslag/Daniell_etal-2010.pdf
in the representation of the surface.
[37] The calibration period for the model was 1991–
1995, while the validation period was 1996–1999. The
performance of the model was tested against observations of
stream discharge and groundwater heads using the root
mean squared error RMS for groundwater head and the
RMS and the Nash-Sutcliffe efficiency coefficient E for
stream discharge. E is given by [Nash
/media/loftslag/vanRoosmalen_etal-2009-WRR_2007WR006760.pdf
ORIGINAL ARTICLE
The role of uncertainty in climate change adaptation
strategies—A Danish water management example
J. C. Refsgaard & K. Arnbjerg-Nielsen & M. Drews & K. Halsnæs & E. Jeppesen &
H. Madsen & A. Markandya & J. E. Olesen & J. R. Porter & J. H. Christensen
Received: 10 November 2011 /Accepted: 4 February 2012
# The Author(s) 2012. This article is published with open access
/media/loftslag/2012-Refsgaard_etal-uncertainty_climate-change-adaptation-MITI343.pdf
EA Analyse A/S and Optensys
Energianalys will forecast energy system variables, while SINTEF Energy Research will make
assumptions for the energy system in different cases, include new inputs in the EMPS model and
carry out simulations.
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/media/ces/esa_flyer_new.pdf
Grin’s work on this article was part of the programme of the
Dutch Knowledge network on System Innovations (KSI).
P. Huntjens (&) C. Pahl-Wostl
Institute for Environmental Systems Research,
University of Osnabruck, Barbarastraße 12, Geb. 66,
49069 Osnabruck, Germany
e-mail: patrickhuntjens@yahoo.com
J. Grin
Amsterdam School for Social Science Research,
University of Amsterdam, Amsterdam
/media/loftslag/Huntjens_etal-2010-Climate-change-adaptation-Reg_Env_Change.pdf
FOREST BIOMASS FOR ENERGY PRODUCTION –
POTENTIALS, MANAGEMENT AND RISKS UNDER CLIMATE CHANGE
Ashraful Alam, Antti Kilpeläinen, Seppo Kellomäki
School of Forest Sciences,
University of Eastern Finland, Joensuu
F t Cli t d R bl E I t Ri k d Ad t tiu ure Cl ma e an enewa e nergy – mpac s, s s an ap a on
Oslo, Norway
2 June, 2010
Contents
• Forestry in Finland
• Challenges
• Objectives
/media/ces/Alam_Ashraful_CES_2010.pdf
example
can be given by the low cost still flood risk adaptation by implementing early warning system. But
there is one more suggestion dfor stakeholders to restrict infrastructure in the cities of Horsens.
Fiva PhD Courses : Adaptive management in relation to climate change (august 22 2011 - august 26 2011)
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/media/loftslag/Group-1_Scenarios-for-AWM.pdf