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  • 41. VI_2016_006_rs

    of 100–140 m a.s.l. Several debris flows are recorded in Búðará since the beginning of the 20th century. It is not clear whether the upper or lower area is the main source for these debris flows. The return time for sizeable debris flows in Búðará is around 20 years. It appears that the land- slide activity has been more frequent in the last 30 years than earlier in the 20th century. 4.5 Areas 7 /media/vedurstofan-utgafa-2016/VI_2016_006_rs.pdf
  • 42. 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
  • 43. 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
  • 44. 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
  • 45. Refsgaard_etal-2007-Uncertainty-EMS

    The advantage of Monte Carlo analysis is its general appli- cability and that it does not impose many assumptions on prob- ability distributions and correlations and that it can be linked to any model code. The key limitation is the large run times for computationally intensive models and the huge amount of outputs that are not always straightforward to analyse. 4.8. Multiple model simulation Multiple model /media/loftslag/Refsgaard_etal-2007-Uncertainty-EMS.pdf
  • 46. ces-oslo2010_proceedings

    change over the North Atlantic and in some simulations also for Iceland. In all areas, including the North Atlantic and Iceland, a clear climate change signal compared to the spread between the simulations is seen. The standard deviation calculated from 17 of the simulations are less than 1°C in all areas apart from Iceland where it reaches between 1 and 2°C and in parts of the Barents Sea where /media/ces/ces-oslo2010_proceedings.pdf
  • 47. 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
  • 48. 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
  • 49. VI_2009_006_tt

    lake in a volcanic caldera in the interior of the Vatnajökull ice cap (Björns- son, 1988). Jökulhlaups from Grímsvötn have been known since at least the fourteenth century (Þórarinsson, 1939, 1974). In the beginning of the twentieth century there were about ten years between outbursts but the floods diminished with time and became more frequent. After a catastrophic, rapidly rising flood caused /media/vedurstofan/utgafa/skyrslur/2009/VI_2009_006_tt.pdf
  • 50. 2013_001_Nawri_et_al

    and a pressure of 1013.25 hPa. In the case of Iceland, the climate deviates significantly from these standard atmospheric conditions. Additionally, terrain elevation varies considerably across the island. Therefore, seasonal and annual differences in air density from the standard value, as well as spatial variability, need to be taken into account. Approximate air density can be calculated by assuming /media/vedurstofan/utgafa/skyrslur/2013/2013_001_Nawri_et_al.pdf

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