IDEAS home Printed from https://ideas.repec.org/a/spr/climat/v113y2012i3p867-882.html
   My bibliography  Save this article

Quantitative risk assessment for future meteorological disasters

Author

Listed:
  • Kaoru Tachiiri

    ()

  • Masato Shinoda

Abstract

No abstract is available for this item.

Suggested Citation

  • Kaoru Tachiiri & Masato Shinoda, 2012. "Quantitative risk assessment for future meteorological disasters," Climatic Change, Springer, vol. 113(3), pages 867-882, August.
  • Handle: RePEc:spr:climat:v:113:y:2012:i:3:p:867-882 DOI: 10.1007/s10584-011-0365-5
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10584-011-0365-5
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hung-Chih Hung & Ling-Yeh Chen, 2013. "Incorporating stakeholders’ knowledge into assessing vulnerability to climatic hazards: application to the river basin management in Taiwan," Climatic Change, Springer, vol. 120(1), pages 491-507, September.
    2. Dias, Luis & Mousseau, Vincent & Figueira, Jose & Climaco, Joao, 2002. "An aggregation/disaggregation approach to obtain robust conclusions with ELECTRE TRI," European Journal of Operational Research, Elsevier, vol. 138(2), pages 332-348, April.
    3. Dagmar Haase, 2013. "Participatory modelling of vulnerability and adaptive capacity in flood risk management," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 67(1), pages 77-97, May.
    4. Robert Hersh & Kris Wernstedt, 2002. "Gauging the Vulnerability of Local Water Systems to Extreme Events," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 45(3), pages 341-361.
    5. Greco, Salvatore & Matarazzo, Benedetto & Slowinski, Roman, 2001. "Rough sets theory for multicriteria decision analysis," European Journal of Operational Research, Elsevier, vol. 129(1), pages 1-47, February.
    6. Ian Picketts & John Curry & Stephen DĂ©ry & Stewart Cohen, 2013. "Learning with practitioners: climate change adaptation priorities in a Canadian community," Climatic Change, Springer, vol. 118(2), pages 321-337, May.
    7. Neha Mittal & Ashok Mishra & Rajendra Singh, 2013. "Combining climatological and participatory approaches for assessing changes in extreme climatic indices at regional scale," Climatic Change, Springer, vol. 119(3), pages 603-615, August.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:climat:v:113:y:2012:i:3:p:867-882. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sonal Shukla) or (Rebekah McClure). General contact details of provider: http://www.springer.com .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.