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2015 | 34 | 3 |

Tytuł artykułu

Regional hazard analysis for use in vulnerability and risk assessment

Warianty tytułu

Języki publikacji

EN

Abstrakty

EN

Słowa kluczowe

Wydawca

-

Rocznik

Tom

34

Numer

3

Opis fizyczny

p.77-84,fig.,ref.

Twórcy

autor
  • Department of Forestry and Management of the Environment and Natural Resources, Democritus University, Orestiada, Greece
autor
  • Department of Forestry and Management of the Environment and Natural Resources, Democritus University, Orestiada, Greece
  • Faculty of Environment and Natural Resources, Albert-Ludwigs-University of Freiburg, Germany
  • Institute of Mountain Risk Engineering, University of Natural Resources and Life Sciences, Vienna, Austria
  • Department of Forestry and Management of the Environment and Natural Resources, Democritus University, Orestiada, Greece
autor
  • Institute of Mountain Risk Engineering, University of Natural Resources and Life Sciences, Vienna, Austria

Bibliografia

  • Baird D., Rubach M., Van den Brinkt P., 2008. Trait-based ecological risk assessment (TERA): The new frontier? Integrated Environmental Assessment and Management 4(1): 2–3.
  • Birkmann J., Cardona O., Carreño M., Barbat A., Pelling M., Schneiderbauer S., Kienberger S., Keiler M., Alexander D., Zeil P., Welle T., 2013. Framing vulnerability, risk and societal responses: the MOVE framework. Natural Hazards 67(2): 193–211.
  • Cutter S., Mitchell J., Scott M., 2000. Revealing the Vulnerability of People and Places: A Case Study of Georgetown County, South Carolina. Annals of the Association of American Geographers 90(4): 713–737.
  • FEMA, 1997. Multi-hazard Identification and Risk Assessment. Government Printing Office, Washington. http://www.fema.gov/pdf/fhm/mhira-in.pdf. Accessed 3 March 2014.
  • Field C., Barros V., Dokken D., Mach K., Mastrandrea M., Bilir T., Chatterjee M., Ebi K., Estrada Y., Genova R., Girma B., Kissel E., Levy A., MacCracken S., Mastrandrea P., White L. (eds)., 2014. Climate Change 2014: Impacts, adaptation, and vulnerability. Cambridge University Press, Cambridge.
  • Fuchs S., 2009. Susceptibility versus resilience to mountain hazards in Austria – Paradigms of vulnerability revisited. Natural Hazards and Earth System Sciences 9(2): 337–352.
  • Fuchs S., Kuhlicke C., Meyer V., 2011. Editorial for the special issue: vulnerability to natural hazards – the challenge of integration. Natural Hazards 58(2): 609–619.
  • Govindaraju R., Rao A. (eds)., 2000. Artificial neural networks in hydrology. Springer, Dordrecht.
  • IBM, 2011. SPSS Modeler 14.2 Modeling Nodes. IBM Corporation.
  • Kaufman, L. Rousseeuw, P., 2005. Finding groups in data: An introduction to cluster analysis. John Wiley and Sons, USA.
  • Kohonen T., 1982. Self-Organized Formation of Topologically Correct Feature Maps. Biological Cybernetics 43(1): 59–69.
  • Kuhlicke C., 2013. Resilience: a capacity and a myth: findings from an in-depth case study in disaster management research. Natural Hazards 67(1): 61–76.
  • Kumpulainen S., 2006. Vulnerability Concepts in Hazard and Risk Assessment. Geological Survey of Finland, Special Paper 42: 65–74.
  • Kurgan L., Cios K., 2001. Discretization Algorithm that Uses Class-Attribute Interdependence Maximization. In: Proceedings of the 2001 International Conference on Artificial Intelligence (IC-AI 2001), Las Vegas, Nevada.
  • Menoni S., Molinari D., Parker D., Ballio F., Tapsell S., 2012. Assessing multifaceted vulnerability and resilience in order to design risk-mitigation strategies. Natural Hazards 64(3): 2057–2082.
  • OAS – Dept. of Regional Development and Environment, 1991. Chapter 6 – Multiple Hazard Mapping. In: Primer of Natural Hazard Management in Integrated Regional Development Planning.
  • Papathoma-Köhle M., Kappes M., Keiler M., Glade T., 2011. Physical vulnerability assessment for alpine hazards: state of the art and future needs. Natural Hazards 58(2): 645–680.
  • Parry M., Canziani O., Palutikof J. (eds)., 2007. Climate change 2007. Impacts, adaptation and vulnerability: Working Group II contribution to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge.
  • Ratanamahatana C., 2003. CloNI: Clustering of √N-Interval discretization. In: Proceedings of the 4th International Conference on Data Mining Including Building Application for CRM & Competitive Intelligence, Rio de Janeiro, Brazil.
  • Stocker T., Qin D., Plattner G., Tignor M., Allen S., Boschung J., Nauels A., Xia Y., Bex V., Midgley P. (eds)., 2013. Climate change 2013: The physical science basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge.
  • UN/ISDR, 2015. Sendai Framework for Disaster Risk Reduction 2015–2030. United Nations, Geneva
  • Varnes D., 1984. Landslide Hazard Zonation: A review of Principles and Practice. United Nations Educational Scientific and Cultural, USA.
  • Water Development Department. http://www.moa.gov.cy/moa/wdd/Wdd.nsf/index_en/index_en?OpenDocument
  • WGS – Word Geodetic System, 1984. National Geospatial – Intelligence Agency. https://www1.nga.mil
  • Zachariadis T., 2012. Climate Change in Cyprus: Impacts and Adaptation Policies. Cyprus Economic Policy Review 6(1): 21–37.

Typ dokumentu

Bibliografia

Identyfikatory

Identyfikator YADDA

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