46 results were found for WA 0821 7001 0763 (FORTRESS) Model Pintu Rumah 1 Pintu Terbaru Teramang Jaya Mukomuko.

Results:

• 31. Eriksson_2-Acceptability-of-policy

  is influenced by: 1. The individual’s characteristics (e.g., background characteristics, attitudinal factors) 2. The attributes of the policy measure (e.g., push versus pull) Steg & Schuitema (2007) 6 (2) Factors important for acceptability cont. • The multiattribute evaluation model describe factors important for evaluations of structural changes to social dilemmas – preference for status quo /media/loftslag/Eriksson_2-Acceptability-of-policy.pdf

• 32. VI_2015_009

  A 1x1 km digital elevation model derived from a 500 m DEM (Icelandic Meteorological Of- fice, National Land Survey of Iceland, Science Institute, University of Iceland, and National Energy Authority. 2004), a soil map from the Agricultural University of Iceland and a map of the bedrock geology from the Icelandic Institute of Natural History (Jarðfræðikort af Íslandi - Berggrunnur - 1:600.000 - NI /media/vedurstofan/utgafa/skyrslur/2015/VI_2015_009.pdf

• 33. 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

• 34. Alam_Ashraful_CES_2010

  • Methodology • Key findings • Conclusions 2 Forestry in Finland 1. Land area distribution 2. Species distribution Total Forestry land 26.3 mill. ha 3. Growing stocks, increment and drain 4. Site type distribution Source: Finnish Forest Research Institute, 2008 3 Forest management Final felling Timber Energy biomass Thinning Timber Pre-commercial or energy biomass thinning Regeneration Regeneration 4 /media/ces/Alam_Ashraful_CES_2010.pdf

• 35. Forecasts - Akureyri

  Cloud cover: 100% 20 GMT 2° N 2 Cloud cover: 100% 21 GMT 1° N 2 Cloud cover: 100% 22 GMT 1° NE 1 Cloud cover: 100% 23 GMT 1° ESE 1 Cloud cover: 100% Tue 2.05 00 GMT 1° ESE 1 Cloud cover: 30% 01 GMT 0° SSE 1 Cloud cover: 0% 02 GMT -0° SSE 1 Cloud cover: 0% 03 GMT -0° SSE 1 Cloud cover: 0% 04 GMT -1° SE 1 Cloud cover: 0 /m/forecasts/areas

• 36. ces-glacier-scaling-memo2009-01

  distribution will in practice not alter the obtained total ice volume much in comparison to the overall uncertainty of the procedure. Delayed response of the ice-covered area The coloured curves in Figure 1, showing simulated volume and area for three retreating Ice- landic ice caps with a shallow ice approximation ice flow model, demonstrate that the response of the ice-covered area to ice volume /media/ces/ces-glacier-scaling-memo2009-01.pdf

• 37. BIBD_windrose_2005-2014

  W N (Number of observations for wind direction) Icelandic Met Office 02. júl. 2015 36 2 69 4 138 2 187 3 151 2 106 7 83 1 58 1 36 0 20 3 17 6 14 5 14 9 11 0 10 6 13 0 16 7 29 8 55 2 73 0 95 6 140 7 98 9 41 9 20 2 17 7 8 1 6 4 4 8 3 7 5 7 4 4 4 5 7 3 9 2 18 5 Wind rose BIBD January 2005−2014 90 80 70 60 50 40 30 2010360350340 330 320 310 300 290 280 270 /media/vedur/BIBD_windrose_2005-2014.pdf

• 38. 2013_001_Nawri_et_al

  effects . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 4 Evaluation of model results 22 5 Large-scale overview 26 5.1 Climatological wind conditions . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 5.2 Wind power density . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31 6 Test sites 36 7 Conclusions 41 A Resource maps 42 A.1 Blanda /media/vedurstofan/utgafa/skyrslur/2013/2013_001_Nawri_et_al.pdf

• 39. VI_2015_007

  distribution and parameter estimation method The Generalized Extreme Value (GEV) distribution (Jenkinson, 1955) was adopted to model the flood frequency distribution from the AMF series: Qi(D;T ) = ei + ai ki (1 [ ln(1 1=T )]ki) if ki 6= 0 ei ailn( ln(1 1=T )) if ki = 0 (7) where ei is the location parameter, ai is the scale parameter and ki is the shape parameter. The method of probability weighted /media/vedurstofan/utgafa/skyrslur/2015/VI_2015_007.pdf

• 40. Hare_2-participation

  15.9.04 Forum 2 3.11.04 Forum 3 12.04.05 Interviews Jan/Feb 05 Group Model Building - Identify Problems & Measures 8 Simulation Models Testing Solutions Forum 1 15.9.04 Forum 2 3.11.04 Forum 3 12.04.05 KG Feb/March 05 Interviews Jan/Feb 05 Forum 4 15.06.05 Forum 3 12.04.05 r 5 07.09.05 Forum 4 15.06.05 9 x Measures Costs Ecological Efficiency Accep- tance Needed control Further Effects 1.... 2 /media/loftslag/Hare_2-participation.pdf