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  • 21. Huntjens_etal-2010-Climate-change-adaptation-Reg_Env_Change

    can be found in Huntjens et al. (2007), Chapter 4 of NeWater Deliverable 1.7.9a (http://www.newater.info). Climate change adaptation in European river basins 265 123 interactions, by private and public actors, to achieve adaptation and to enhance the capacity of processes, institutional arrangements and actors to adapt to future environmental changes (Huitema et al. 2009). Adaptive governance /media/loftslag/Huntjens_etal-2010-Climate-change-adaptation-Reg_Env_Change.pdf
  • 22. Moellenkampetal_etal-2010

    Acteurs et Usages (UMR G-EAU), Cemagref, 4University of Architecture, Civil Engineering and Geodesy, 5Hornsby Shire Council, 6Lisode, 7UN-Water Decade Programme on Capacity Development (UNW-DPC), United Nations University, 8School of Natural and Rural Systems Management, University of Queensland, 9College of Asia and the Pacific, The Australian National University, 10Marine and Atmospheric Research /media/loftslag/Moellenkampetal_etal-2010.pdf
  • 23. 2010_016

    the largest runoff peak of the year. Compared to the period 1961–1990, a warming of aboutC has already been observed for both watersheds during the period 2000–2009, causing considerable discharge changes in the same direction as the predicted future changes. 8 2 Introduction Increased concentration of greenhouse gases in the atmosphere is predicted to lead to changed climate (IPCC, 2007 /media/ces/2010_016.pdf
  • 24. VI_2020_005

    and CNES, n.d.; National Center for Atmospheric Research Staff, 2016; Quante and Colijn, 2016). Now, additional altimeters at different orbits perform slightly less accurate measurements up to 82 N and S (Rhein et al., 2013). These records are used to estimate sea surface changes and calculate global mean sea level, a temporal average sea level averaged over the oceans (Church, Clark, et al., 2013 /media/vedurstofan-utgafa-2020/VI_2020_005.pdf
  • 25. VI_2009_013

    to locate earthquakes in Iceland but the SIL-crustal model has no Moho boundary. Using this model in the routine, daily analysis, the majority of the earthquakes in Eyjafjallajökull form a 3-km-wide chimney between 1 and 10 km depth beneath the northern flank of the volcano. A smaller cloud is also visible between 19 and 25 km depth, about 1.5 km west of the main activity/cluster. 13 Figure 3 /media/vedurstofan/utgafa/skyrslur/2009/VI_2009_013.pdf
  • 26. Henriksen_Barlebo-2008-AWM_BBN-Journ_Env_Management

    the body of knowledge in any given area by mapping out cause-and-effect relationships among key variables and encoding them with numbers that represent the extent to which one variable is likely to affect another (Jensen, 2002). Factors, associations and probabilities can be adjusted and validated and BNs are powerful for integrating data and knowledge from different sources and domains, e.g /media/loftslag/Henriksen_Barlebo-2008-AWM_BBN-Journ_Env_Management.pdf
  • 27. IPPC-2007-ar4_syr

    Approximate CO2-eq concentrations corresponding to the computed radiative forcing due to anthropogenic GHGs and aerosols in 2100 (see p. 823 of the WGI TAR) for the SRES B1, AIT, B2, A1B, A2 and A1FI illustrative marker scenarios are about 600, 700, 800, 850, 1250 and 1550ppm, respectively. d) Temperature changes are expressed as the difference from the period 1980-1999. To express the change relative /media/loftslag/IPPC-2007-ar4_syr.pdf
  • 28. Eriksson_Garvill_Nordlund_2006

    and infringement on freedom, and indirectly associated with the acceptability of road pricing. In addition, relations between beliefs about effectiveness and acceptability of TDM measures have been shown. More specifically, the more effective a measure is perceived to be, the more acceptable it is (e.g. Bamberg & Ro¨lle, 2003; Nordlund & Garvill, 2006; Rienstra et al., 1999). For coercive measures /media/loftslag/Eriksson_Garvill_Nordlund_2006.pdf
  • 29. Hare-2011-ParticipatoryModelling

    are labelled according to the geographical area of application. Examples such as Zürich and Hase II have already been reviewed and categorized in Hare et al. (2003) and Bots and van Daalen (2008), respectively. The entire Iskar process, of which Iskar (Phase I) is a part, has been categorized by Barreteau et al. (2010). All are included in this review to provide alternative analytical perspectives /media/loftslag/Hare-2011-ParticipatoryModelling.pdf
  • 30. vonKorff_etal-2010

    played a role in this first phase as the author tables on decision analysis show. In summary, the comparison resulted in the reconstruction of 10 steps on which there appears to be considerable agreement among the five guides. 1. DA 1: Assemble a team for decision analysis as part of the participation design. Its members should belong to the lead agency, e.g., the water board, but can also /media/loftslag/vonKorff_etal-2010.pdf

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