80 results were found for WA 0821 7001 0763 (MEVVAH) model marmer dinding P. Haruku Kabupaten Maluku Tengah Maluku.

Results:

• 71. Group-1_Scenarios-for-AWM

  i on c a p ac i t y A r ea of r e s i d en c e (Flood p r one /non p r one a r eas) Un c e r t a n t i e s H i g h wi l l i n g n e s s t o p a y L o w wi l l i n g nes to pay D i k e s H i gh t a x a t i on - E arly w arn i n g s y s t e m s - Sof t s t r uct u r a l m e as u r e s -Community training L o w taxation Risk P e r c e p t i o n B e n e f i /media/loftslag/Group-1_Scenarios-for-AWM.pdf

• 72. Protective measures

  developments (European Commission, Directorate-General for Research, Publication EUR 23339, 2009, ISBN 978-92-79-08885-8, ISSN 1018-5593, DOI 10.2777/12871. Edited by T. Jóhannesson, P. Gauer, P. Issler and K. Lied. Contributions by M. Barbolini, U. Domaas, T. Faug, P. Gauer, K. M. Hákonardóttir, C. B. Harbitz, D. Issler, T. Jóhannesson, K. Lied, M. Naaim, F. Naaim-Bouvet and L. Rammer) (pdf 1.6 Mb; high /avalanches/imo/protective/

• 73. The design of avalanche protection dams

  be ordered at the EU Bookshop and it can be accessed on the web both as PDF suitable for the screen (1.5 Mb) and in higher resolution suitable for printing (27.9 Mb). Edited by T. Jóhannesson of the Icelandic Meteorological Office and by P. Gauer, P. Issler and K. Lied of the Norwegian Geotechnical Institute. Contributions by M. Barbolini, U. Domaas, T. Faug, P. Gauer, K. M. Hákonardóttir, C. B /about-imo/news/nr/1631

• 74. VI_2009_012

  Different kinds of weights were tried in the regression process in which case the least squares problem becomes the problem of minimizing { }2102 ,...),()(log∑ − i iiii rMfPGXw , with respect to the parameters of the model f. The weights wi were generally of the form ),( rMq p wi = , where p was a normalization constant and usually q(M,r) was a discrete density distribution made to correct /media/vedurstofan/utgafa/skyrslur/2009/VI_2009_012.pdf

• 75. ces-oslo2010_proceedings

  E-mail: nve@nve.no Internet: www.nve.no May 2010 2 Contents Snorrason, Á. and Hisdal, H. Welcome to the conference “Future Climate and Renewable Energy: Impacts, Risks and Adaptation” ................ 6 PRESENTATIONS Gode, J. and Thörn, P. Stakeholder relevance of the CES project /media/ces/ces-oslo2010_proceedings.pdf

• 76. Eriksson_Garvill_Nordlund_2006

  of freedom, while CFI indicates to what extent the fit of the model is better compared to the independence model (Jo¨reskog & So¨rbom, 1993; see also MacCallum & Austin, 2000). According to Browne and Cudeck (1993), a RMSEA value of 0.05 is indicative of a good fit, and a value of 0.08 a reasonable fit. Divergence from a RMSEA value of 0.05 may be tested, and a nonsignificant p value of close fit /media/loftslag/Eriksson_Garvill_Nordlund_2006.pdf

• 77. Information Management

  Publications and presentations Information Management Other, Conference Proceedings Gode, J. & Thörn, P. Stakeholder /ces/publications/nr/2127

• 78. CASE_B__Heikki_Tuomenvirta_(FMI)_Introduction

  will review a set of stakeholder involvement and decision making issues with the above outline as backdrop. References: [1] Marttila, V., Granholm, H., Laanikari, J., Yrjölä, T., Aalto, A., Heikinheimo, P., Honkatukia, J., Järvinen, H., Liski, J., Merivirta, R. & Paunio, M. 2005. Finland’s National Strategy for Adaptation to Climate Change. MMM Publication 1a/2005. 276 pp. [2] Kokkarianen, V /media/loftslag/CASE_B__Heikki_Tuomenvirta_(FMI)_Introduction.pdf

• 79. Spatial_perception_of_flood_hazard_in_the_urban_area_of_Selfoss,_Iceland

  Spatial perception of flood hazard in the urban area of Selfoss Emmanuel P. Pagneux 1, 2 1 Icelandic Meteorological Office Grensásvegur 9 – 108 Reykjavík – ICELAND 2 Department of Geography and Tourism Faculty of Life and Environmental Sciences / School of Engineering and Sciences University of Iceland Aska, Sturlugata 7 – 101 Reykjavík – ICELAND Email: emmanuel@vedur.is /media/loftslag/Spatial_perception_of_flood_hazard_in_the_urban_area_of_Selfoss,_Iceland.pdf

• 80. Kok_JGEC658_2009

  in the models, while on the other hand, models require quantitative information on a wealth of parameters that is often difficult to extract from storylines. In other words, there is a mismatch between storylines and model parameters (Steps 3–4 in Fig. 1), as well as between model output and revised stories (Steps 5–6). In practice, particularly the translation of stories into quantified model /media/loftslag/Kok_JGEC658_2009.pdf