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75 results were found for WA 0812 2782 5310 Kontraktor Renovasi Rumah Tingkat Type 21 Berpengalaman Girimarto Wonogiri.


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  • 1. Climatic-Change-2012---Personality-type-differences-between-Ph.D.-climate-experts-and-general-public---implications-for-communication

    Personality type differences between Ph.D. climate researchers and the general public: implications for effective communication C. Susan Weiler & Jason K. Keller & Christina Olex Received: 27 August 2009 /Accepted: 28 July 2011 / Published online: 2 September 2011 # The Author(s) 2011. This article is published with open access at Springerlink.com Abstract Effectively communicating the complexity /media/loftslag/Climatic-Change-2012---Personality-type-differences-between-Ph.D.-climate-experts-and-general-public---implications-for-communication.pdf
  • 2. Hare-2011-ParticipatoryModelling

    lcolumn ) 3Participatory Modelling in the Water Sector Copyright © 2011 John Wiley & Sons, Ltd and ERP Environment Env. Pol. Gov. (2011) DOI: 10.1002/eet 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 • participatory modelling purposes, • model type, • stakeholders involved, • timing /media/loftslag/Hare-2011-ParticipatoryModelling.pdf
  • 3. VI_2021_008

    ............................................... 20 3.2.3 Instrument response correction.................................................................................. 21 4 Discussion .......................................................................................................................... 22 4.1 Performance of the ALERT module /media/vedurstofan-utgafa-2021/VI_2021_008.pdf
  • 4. Huntjens_etal-2010-Climate-change-adaptation-Reg_Env_Change

    - grated water management: agency, awareness raising and education, type of governance and cooperation structures, information management and—exchange, policy develop- ment and—implementation, risk management, and finances and cost recovery. This comparative analysis has an explorative character intended to identify general patterns in adaptive and integrated water management and to determine its /media/loftslag/Huntjens_etal-2010-Climate-change-adaptation-Reg_Env_Change.pdf
  • 5. 2010_017

    ....................................................................................................................... 21 6 DISCUSSION ................................................................................................................ 25 7 CONCLUSIONS ............................................................................................................ 27 8 ACKNOWLEDGMENTS /media/ces/2010_017.pdf
  • 6. 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
  • 7. IPPC-2007-ar4_syr

    dioxide (CO2) is the most important anthropogenic GHG. Its annual emissions have grown between 1970 and 2004 by about 80%, from 21 to 38 gigatonnes (Gt), and represented 77% of total anthropogenic GHG emissions in 2004 (Figure 2.1). The rate of growth of CO2-eq emissions was much higher during the recent 10-year period of 1995-2004 (0.92 GtCO2-eq per year) than during the previous period of 1970 /media/loftslag/IPPC-2007-ar4_syr.pdf
  • 8. Milly_etal-2008-Stationarity-dead-Science

    ). A successor. We need to find ways to identify nonstationary probabilistic models of relevant environmental variables and to use those models to optimize water systems. The challenge is daunting. Patterns of change are complex; uncertainties are large; and the knowledge base changes rapidly. Under the rational planning framework advanced by the Harvard Water Program (21, 22), the assumption /media/loftslag/Milly_etal-2008-Stationarity-dead-Science.pdf
  • 9. Lawrence_Deborah_CES_2010

    100 15 17 19 21 23 25 Mean annual peak runoff (mm/day) P e r c e n t a g e b e l o w g i v e n v a l u e g39g72g79g87g68g3g70g75g68g81g74g72g3 g40g80g83g76g85g76g70g68g79g3g68g71g77g88g86g87g80g72g81g87 Percentage change in 200-year flood Uncertainty – Relative magnitude of sampled s urces N = 115 GCM/RCM = 50 EA/DC = 38 HBV = 27 • Differences in GCM/RCM tend to be more significant in inland /media/ces/Lawrence_Deborah_CES_2010.pdf
  • 10. Journal_of_Hydrology_Veijalainen_etal

    station Region type Catchment area, Q station (km2) Lake percentage (%) Settlement for inundation analysis Boundary conditions of the 2D model a Köngäs Ounasjoki Small/medium, northern river 4488 4.2 Kittilä Upstream : Q; Downstream : river WSE b Sonkajärvi Small, lake 946 4.4 – – c Keppo Lapuanjoki Small/medium, coastal river 3949 3.0 Lapua Upstream : Q; Downstream river WSE d Harjavalta /media/ces/Journal_of_Hydrology_Veijalainen_etal.pdf

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