Articles | Volume 13, issue 10
https://doi.org/10.5194/nhess-13-2579-2013
https://doi.org/10.5194/nhess-13-2579-2013
Research article
 | 
18 Oct 2013
Research article |  | 18 Oct 2013

Investigation of superstorm Sandy 2012 in a multi-disciplinary approach

M. Kunz, B. Mühr, T. Kunz-Plapp, J. E. Daniell, B. Khazai, F. Wenzel, M. Vannieuwenhuyse, T. Comes, F. Elmer, K. Schröter, J. Fohringer, T. Münzberg, C. Lucas, and J. Zschau

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Cited articles

Alward, G., Siverts, E., Taylor, C., and Winter, S.: Micro IMPLAN, User's Guide, Version 91-F., Tech. rep., USDA Forest Service, Land Management Planning Systems Group, 1992.
Apel, H., Thieken, A. H., Merz, B., and Blöschl, G.: A probabilistic modelling system for assessing flood risks, Nat. Hazards, 38, 79–100, 2006.
Bayleyegn, T., Wolkin, A., Oberst, K., Young, S., Sanchez, C., Phelps, A., Schulte, J., Rubin, C., and Batts, D.: Rapid assessment of the needs and health status in Santa Rosa and Escambia Counties, Florida, after Hurricane Ivan, September, 2004, Disaster Manage. Response, 4, 12–18, 2006.
Burton, I.: Forensic disaster investigations in depth: A new case study model, Environment, 52, 36–41, 2011.
CDEMA: Summary of impact of Hurricane Sandy on CDEMA participating states, available at: http://reliefweb.int/sites/reliefweb.int/files/resources/Full% _Report_4418.pdf (last access: 10 October 2013), 2012.
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