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Results:

• 71. 2010_003rs

  and G17. .................. 52 Figure 3.23. Seismicity and mapped faults in box J, near to the village of Hella. .............. 53 Figure 3.24. Seismicity and mapped faults in boxes K, near to Hraungerði in Flói district and L, Skeið district. ............................................................................ 54 Figure 3.25. Seismicity and mapped faults in the easternmost box M, Land /media/vedurstofan/utgafa/skyrslur/2010/2010_003rs.pdf

• 72. Bio Energy

  -512. Alam, A., Kilpeläinen, A. & Kellomäki, S. (2008). Potential carbon stocks and energy production in boreal forest ecosystems under climate change responsive to varying management regimes. Submitted Biomass and Bio-energy. Kärkkäinen, L., Matala, J., Härkönen, K., Kellomäki, S. & Nuuttinen, T. (2008). Potential recovery of industrial wood and energy wood raw material in different cutting /ces/publications/nr/1939

• 73. ESC-IASPEI-statement-LAquila-2012-1

  ) ESC Executive Committee Alexey Zavyalov, Russia Murat Nurlu, Turkey Mariano García-Fernández, Spain Stefano Parolai, Germany Pierre-Yves Bard, France Constantin Ionescu, Romania Stefano Solarino, Italy Steinunn Jakobsdottir, Iceland Peter Suhadolc, IASPEI Rémy Bossu, EMSC-CSEM Atilla Ansal, EAEE Bernard Dost, ORFEUS Rajender K. Chadha, ASC EUROPEAN SEISMOLOGICAL COMMISSION /media/vedurstofan/utgafa/hlidarefni/ESC-IASPEI-statement-LAquila-2012-1.pdf

• 74. norsem_korja

  Observations on Intraplate Seismicity in Central Fennoscandia Korja, A.1, Uski, M.1, Lund, B.2, Grigull, S.3, Nironen, M.4, E., Högdahl, K.2 1University of Helsinki, Institute of Seismology, Helsinki, Finland, annakaisa.korja@helsinki.fi 2University of Uppsala, Uppsala, Sweden 3Geological Survey of Sweden, Uppsala, Sweden 4Geological Survey of Finland, Espoo, Finland Fennoscandian Shield /media/norsem/norsem_korja.pdf

• 75. 2013_001_Nawri_et_al

  rather than from the data directly. This reduces the amount of data that needs to be disseminated to a few parameters, that describe each wind speed distribution. Of the various probability density functions for boundary-layer wind speeds, s, the 2-parameter Weibull distribution, f (s;A;k) = k A s A k 1 exp s A k ; (1) is the one most commonly employed for wind energy studies (Morgan /media/vedurstofan/utgafa/skyrslur/2013/2013_001_Nawri_et_al.pdf

• 76. Kok_et_al._TFSC_published_2011

  and taking a long-term view (see e.g. [2]). Technological Forecasting & Social Change 78 (2011) 835–851
  Corresponding author. E-mail addresses: kasper.kok@wur.nl (K. Kok), lasut@iiasa.ac.at (I. Bärlund), lasut@iiasa.ac.at (A. Dubel), ilona.baerlund@ufz.de (J. Sendzimir). 0040-1625/$ – see front matter ? 2011 Elsevier Inc. All rights reserved. doi:10.1016/j.techfore.2011.01.004 Contents lists /media/loftslag/Kok_et_al._TFSC_published_2011.pdf

• 77. Pollution

  species and 91,695 birds. In 2005 the weather station received a declaration of recognition from WMO which is given only to those stations which fulfill highest standard of reporting. NOAA's annual Hero award 2007 Figure 2. Óskar J. Sigurðsson receives the NOAA's annual Hero Award from the American Ambassador Carol van Voorst in Reykjavík on June 19th 2007. © Sally K. Hodgson /pollution-and-radiation/pollution/

• 78. ces_risk_flyer

  and distribution network are all identified a section at a time. In some cases, however, it might be more valuable to focus only on a certain part of functional model. Fig.1. Functional Model. The results of the risk analysis are represented visually in a fourfold table. (Fig.2) The main idea of the table is to provide a readily interpretable overview of h hi hli h d i k d i i i l i Having already been /media/ces/ces_risk_flyer.pdf

• 79. Alam_Ashraful_CES_2010

  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

• 80. Lawrence_Deborah_CES_2010

  ECHAM4/OPYC3 NorClim/HIRHAM 25x25 km 'Empirical Adjustment' to 1 x 1 km 100 150 200 250 300 350 400 450 500 550 600 650 700 750 800 850 900 1 10 100 1000 Return period (years) P e a k d a i l y d i s c h a r g e ( m 3 / s ) 1981-2010 GEV from annual max series 2021-2050 GEV from annual max series 2021 - 2050 Annual maximum series 1981 - 2010 Annual maximum series 1981-2010 200-year flood 2021 /media/ces/Lawrence_Deborah_CES_2010.pdf