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50 results were found for WA 0859 3970 0884 Jasa Pemasangan Kusen Aluminium Vs Upvc Murah Sedayu Bantul.


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  • 41. Hare-2011-ParticipatoryModelling

    ea th , th e m et ho d u se d at th is st ag e fo r th es e st ak eh o ld er typ es is sp ec ied .Sh oul d ther e be tw o o r mor e model sbein g develope d in th e process ,the n th e typ e o fmode lt o whic h th e metho d wa s applie d is show n in parentheses .O T re fe rs to th e co m po si tio n o ft he o rg an iz in g te am . Fo r o rg an iz in g te am in vo lve m en t in di ffe re n t pa rt /media/loftslag/Hare-2011-ParticipatoryModelling.pdf
  • 42. VI_2009_006_tt

    than can be expected to originate from the cauldrons, three to four times the wa- ter equivalent of the accumulation of snow over the watershed of the cauldrons. It has been estimated that flow from the cauldrons, in addition to the jökulhlaups, could be 2–5 m3 s 1 at maximum (Vatnaskil, 2005). It is possible that part of the sulfate-rich groundwater from the glacier comes from the cauldrons /media/vedurstofan/utgafa/skyrslur/2009/VI_2009_006_tt.pdf
  • 43. CES_D2.4_task1

    was observed in 1961-2008 (80% vs. 61%), whereas the difference in January is only 9% (71% vs. 62%). In absolute terms, however, the projected warming is larger in January than in April. Note that Fig. 3.1 hides the latter difference, because the horizontal axis is scaled according to the range of interannual variability. x The two observation-based distributions (1961-1990 and 1961-2008) differ /media/ces/CES_D2.4_task1.pdf
  • 44. VI_2020_011_en

  • 45. 2010_003rs

  • 46. VI_2015_009

    Figure 5. AMF frequency distributions (Q(D;T ) vs. T ) at target sites treated as ungauged, using best overall index flood model (bµ(D) = q0(AP)q1): vhm59 (top-left), vhm64 (top- right), vhm66 (bottom-left), vhm102 (bottom-right). Solid black line corresponds to the reference GEV distribution fitted to the observed AMF sample. Grey shaded region corre- sponds to the reference 95% CI. Red solid line /media/vedurstofan/utgafa/skyrslur/2015/VI_2015_009.pdf
  • 47. Water_resources_man_Veijalainen_etal

    of the 14 scenarios is shown in Table 3. Table 3 Summary of the impacts of water level change in Lake Pielinen according to the average of 14 climate scenarios Natural rating curve New regulation scheme vs. Natural rating curve 2010–2039 2040–2069 2070–2099 1971–2000 2010–2039 2040–2069 2070–2099 Freezing + + + 0 0 0 0 of the lake bottom Extension + + + 0 − − − of the sedge zone Spawning 0 + + − 0 /media/ces/Water_resources_man_Veijalainen_etal.pdf
  • 48. Reykholt-abstracts

  • 49. ces-oslo2010_proceedings

    Floods in Norway under a near future 2021-2050 climate: Hydrological projections for rainfall vs. snowmelt floods and their uncertainties ................................................................................................................................ 32 Veijalainen, N. and Vehviläinen, B. Climate change and lake regulation in Finland – Impacts and adaptation possibilities /media/ces/ces-oslo2010_proceedings.pdf
  • 50. VI_2020_004

    is divided into Risk Levels I to III with increasing risk (Auker et al., 2015; Loughlin et al., 2015). 18 Following is the risk matrix for Icelandic volcanoes: Figure 1. Risk matrix for Icelandic volcanoes. Volcanic Hazard Index (VHI) vs. Population Esposure Index (PEI) based on the methodology of Auker et al. (2015). See further discussion in the text. — Áhættutafla íslenskra /media/vedurstofan-utgafa-2020/VI_2020_004.pdf

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