77 results were found for k 실시간가족방し『이도령.com】✘실시간가족방 실시간가족방 실시간가족방 실시간가족방 실시간가족방.

Results:

• 41. 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

• 42. 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

• 43. 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/

• 44. 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

• 45. 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

• 46. 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

• 47. 2005EO260001

  up to ~13 km height. BY K. S. VOGFJÖRD, S. S. JAKOBSDÓTTIR, G. B. GUDMUNDSSON, M. J. ROBERTS, K. ÁGÚSTSSON, T. ARASON, H. GEIRSSON, S. KARLSDÓTTIR, S. HJALTADÓTTIR, U. ÓLAFSDÓTTIR, B. THORBJARNARDÓTTIR, T. SKAFTADÓTTIR, E. STURKELL, E. B. JÓNASDÓTTIR, G. HAFSTEINSSON, H. SVEINBJÖRNSSON, R. STEFÁNSSON, AND T. V. JÓNSSON Research, 2005), which are complemented by three continuous GPS stations /media/jar/myndsafn/2005EO260001.pdf

• 48. Public-Choice-2012---Teyssier---Inequity-and-risk-aversion-in-sequential-public-good-games

  mover’s payoff, while mover 2’s payoff is greater than or equal to the first mover’s payoff. The payoff function is that of the basic public good game. The marginal return from the public good is a ∈ [0,1], and each agent’s initial endowment is E. The payoff function Rik of agent i as mover k, k = 1 for the first mover and k = 2 for the second mover, is defined as follows: Rik =E − xik + a (xik /media/loftslag/Public-Choice-2012---Teyssier---Inequity-and-risk-aversion-in-sequential-public-good-games.pdf

• 49. VI_2009_012

  at the epicenter (r = 0) in the attenuation relations for PGX, a revision of model A was examined, where R(r,M) is used, rather than just the epicentral distance, r. The model considered is the following: log10(PGX) = a·log10 ( R(r,M) ) + b · M + c (1) with R given by: gMkrR 10⋅+= , (2) and where r is the distance from epicenter to the point of measurement, k is a parameter to be fitted and g /media/vedurstofan/utgafa/skyrslur/2009/VI_2009_012.pdf

• 50. aerodrome_summaries_20140603

  14 0 1 2 3 8 12 15 0 1 2 3 8 12 16 0 1 2 4 8 12 17 0 1 2 4 8 12 18 0 1 2 4 8 12 19 0 1 2 4 8 13 20 0 1 2 4 8 13 21 0 2 3 5 9 13 22 1 2 3 5 9 13 23 1 2 3 4 9 13 MEAN 1 2 2 4 8 13 10 AE R OD R OM E CLIM A T OLOGICA L SUMMA R Y - T ABL E D AE R OD R OME :BIK F - KEFL A VÍ K /K efl avi k PERIO D O F RECORD :2001–201 0 L A TITUDE :6 3 59’06" N LONGITUDE :2 2 36’20" W ELE V A TIO N AB O V E MSL :5 2 /media/vedur/aerodrome_summaries_20140603.pdf