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69 results were found for WA 0812 2782 5310Biaya Borongan Interior Rumah 3 X 10 Berpengalaman Tegalrejo Kab Magelang.


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  • 41. ces-oslo2010_proceedings

    ............................................................................................................... 8 PAST AND PRESENT CHANGES IN CLIMATE AND HYDROLOGY Dyrrdal, A.V., Vikhamar-Schuler, D., Stranden, H.B. and Skaugen, T. Analysis of past snow conditions in Norway – Time periods 1931-60, 1961-90 and 1979-08 ............................. 10 Crochet, P. Impacts of historic climate variations on streamflow characteristics in Icelandic rivers /media/ces/ces-oslo2010_proceedings.pdf
  • 42. Public-Choice-2012---Teyssier---Inequity-and-risk-aversion-in-sequential-public-good-games

    advantageous inequity aversion is relevant for the second mover’s utility, which can be written as: ui2 = 10 − xi2 + 0.8 (x1 + xi2)− βi (x1 − xi2) (3) The second mover should contribute the same amount as the first mover to the public good if her degree of advantageous inequity aversion is such that βi ≥ 0.2. The equilibrium decision of the second mover is written as: x∗i2 =  0 if βi < 0.2 x1 if βi /media/loftslag/Public-Choice-2012---Teyssier---Inequity-and-risk-aversion-in-sequential-public-good-games.pdf
  • 43. Group-1_Scenarios-for-AWM

    ) scenarios for flood protection are proposed. Here we assume the main threaten in future is flash flood from sea. We did not consider river flood, and neither the ground water quality. Table 1 Climate changes by 2100 under IPCC scenario A2 Temperature +3°C Precipitation +15% Wind +4% Extreme event Increase Storm strength +10% Sea level +1 m Scenario building (BP & HG) Scenarios Developing /media/loftslag/Group-1_Scenarios-for-AWM.pdf
  • 44. VI_2015_006

    are largest. Positive sensible heat fluxes also occur over the interior regions of Vatnajökull and Hofsjökull at around noon on 27 July, due to the cold northeasterly flow over the glaciers (see Figure 10). However, along the edges and on the other icecaps, sensible heat fluxes under clear skies are directed from the atmosphere to the snow. On 3 August, with clear skies, weak winds, and with above freezing /media/vedurstofan/utgafa/skyrslur/2015/VI_2015_006.pdf
  • 45. ces-glacier-scaling-memo2009-01

    is first derived (Figure 3, left). The cumulative area distribution function S(s) (shown on the x-axis) represents total area of all glaciers with area less than s (shown on the y-axis of the figure). Typically, the total glaciated area and an estimate of the area of a few of the TóJ 4 5.12.2009 Memo a71 a71a71 a71 Area (km2) Volume (km 3 ) 10 103 105 107 1 10 2 10 4 10 6 Icelandic ice caps, v /media/ces/ces-glacier-scaling-memo2009-01.pdf
  • 46. VI2010-006_web

    hún er skilgreind sem árlegar líkur á að einstaklingur, sem dvelur allan sólar- hringinn í húsi sem ekki er sérstaklega styrkt, farist í ofanflóði. Með því að taka tillit til líkinda 8 Tafla 1. Skilgreining hættusvæða. Svæði Neðri mörk staðaráhættu Efri mörk staðaráhættu Leyfilegar byggingar C 3 ·10−4 á ári – Engar nýbyggingar nema frístundahús1 og húsnæði þar sem viðvera er lítil. B 1 ·10−4 á ári 3 /media/vedurstofan/utgafa/skyrslur/2010/VI2010-006_web.pdf
  • 47. VI_2013_008

    of the analogue method is introduced. In Section 3 hydrological and me- teorological data used in the analysis are presented. Section 4 describes the different strategies considered for implementing the method and Section 5 presents some results. Some concluding remarks are made in Section 6. 2 The analogue method Let X(t) be a state of a dynamical system at time t, known through the observation of k variables /media/vedurstofan/utgafa/skyrslur/2013/VI_2013_008.pdf
  • 48. VI_2014_001

    .............................................................................................. 10 3 Index flood method ...................................................................................... 10 3.1 Principle .............................................................................................. 10 3.2 Method application using hydrological simulations ....................................... 11 3.2.1 Hydrological modeling /media/vedurstofan/utgafa/skyrslur/2014/VI_2014_001.pdf
  • 49. CES_D2.4_task1

    2010) is estimated. x Finally, Gaussian kernel smoothing (Equation (10) in Räisänen and Ruokolainen 2008a) is applied to convert the discrete frequency distribution of the extrapolated observations to a continuous probability distribution. The data sets used, the derivation of the regression coefficients and the Gaussian kernel smoothing are discussed in Appendices A.1-A.3 /media/ces/CES_D2.4_task1.pdf
  • 50. VI_2020_004

    (Hekla) ............ 48 Figure 23 Seasonal analysis for tephra probability exceeding 1 kg/m2 (Hekla) ...................... 49 Figure 24 Seasonal analysis for tephra probability exceeding 10 kg/m2 (Hekla) .................... 50 Figure 25 Probabilistic hazard maps for a load ≥3 kg/m2 (Hekla). ........................................ 51 Figure 26 Probabilistic hazard maps for a load ≥1 kg/m2 /media/vedurstofan-utgafa-2020/VI_2020_004.pdf

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