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51. Climate Report

natural hazards in Iceland in different ways. There is some tentative evidence that precipitation intensity has increased, and climate projections indicate that such an increase is likely. Furthermore, the permafrost thawing due to warming may lead to the destabilization of slopes and increase the risk of landslides. Also, as glaciers retreat, steep slopes that previously were buttressed /climatology/iceland/climate-report
52. Climate Report

natural hazards in Iceland in different ways. There is some tentative evidence that precipitation intensity has increased, and climate projections indicate that such an increase is likely. Furthermore, the permafrost thawing due to warming may lead to the destabilization of slopes and increase the risk of landslides. Also, as glaciers retreat, steep slopes that previously were buttressed /climatology/iceland/climate-report/
53. 2012-Refsgaard_etal-uncertainty_climate-change-adaptation-MITI343

more knowledge via research, data collection and modelling. Aleatory uncertainty, also termed ontological or stochastic uncertainty, is due to inherent variability. It can be quantified, but is stochastic and irreducible. Ambiguity results from the presence of multiple ways of Mitig Adapt Strateg Glob Change understanding or interpreting a system. It can originate from differences in professional /media/loftslag/2012-Refsgaard_etal-uncertainty_climate-change-adaptation-MITI343.pdf
54. Eriksson_Garvill_Nordlund_2006

to influence freedom to choose travel mode, own ways. Air pollution through emissions, the use of household traveling, policy measures such as laws and regulations, economic incentives and disincentives, as well soft strategies, such as information and education, aim to (Loukopoulos, 2005). Collectively, strategies aiming to change travel behavior are often referred to as travel demand management (TDM /media/loftslag/Eriksson_Garvill_Nordlund_2006.pdf
55. Henriksen_Barlebo-2008-AWM_BBN-Journ_Env_Management

by the various ways in which uncertainty is interpreted and handled. Tools for AM therefore also have focus on transition processes and analysing ambiguities and mental frames that may hinder agreement on a common goal or state. Bayesian networks (BNs) used with full stakeholder involvement is an example of a tool enabling integration of vulnerability of humans related to their use of water (Henriksen et al /media/loftslag/Henriksen_Barlebo-2008-AWM_BBN-Journ_Env_Management.pdf
56. Bardarbunga_kafli20140825

eruption: The large explosive basaltic eruption in 1477 CE took place on a ~65 km long volcanic fissure on the southwestern part of the Veiðivötn fissure swarm where ground water level is high, and deposited about 10 km3 of tephra on land affecting 50% of the country (Figures 4 and 5b). Heavy proximal tephra fall clogged water ways and volcanic craters dammed river Tungnaá resulting /media/jar/Bardarbunga_kafli20140825.pdf
57. Outline_for_the_case_Road_maintenance_in_a_changing_climate

Climate change will also have an effect on the routine and periodic maintenance of roads (Finnra 2009). In order to keep the present level of service, there are needs for changes in the maintenance guidelines. Further development of warning systems for road users and information in trip planning are important ways to mitigate any negative effects of weather and climate. Climate change may affect /media/loftslag/Outline_for_the_case_Road_maintenance_in_a_changing_climate.pdf
58. VI_2016_006_rs

/media/vedurstofan-utgafa-2016/VI_2016_006_rs.pdf
59. Daniell_etal-2010

1977; further developed in the context of resource management by scholars such as Pahl-Wostl et al. 2007). In this study, we follow the concept by Pahl-Wostl et al. (2007). Social learning strategies and mechanisms help policy- makers constructively deal with a range of different values and viewpoints and develop flexible ways of managing the environment (Stringer et al. 2006). Social learning /media/loftslag/Daniell_etal-2010.pdf
60. Hare-2011-ParticipatoryModelling

of reasons. First, if adopted, participatory modelling could become a valuable tool in the participatory toolbox of water managers and so provide them with effective ways of meeting, or even going beyond, legislative requirements for participation in water management. They would also gain the benets the approach offers in terms of model improvement (e.g. better stakeholder acceptance and improved /media/loftslag/Hare-2011-ParticipatoryModelling.pdf