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Volume 17, issue 9 | Copyright
Nat. Hazards Earth Syst. Sci., 17, 1541-1557, 2017
https://doi.org/10.5194/nhess-17-1541-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 15 Sep 2017

Research article | 15 Sep 2017

Construction of an integrated social vulnerability index in urban areas prone to flash flooding

Estefania Aroca-Jimenez et al.
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Cited articles
Adger, W. N.: Vulnerability, Global Environ. Chang., 16, 268–281, https://doi.org/10.1016/j.gloenvcha.2006.02.006, 2006.
Adger, W. N., Brooks, N., Bentham, G., Agnew, M., and Eriksen, S.: New indicators of vulnerability and adaptive capacity, Tyndall Centre Technical Reports, Tyndall Centre for Climate Change Research Norwich, 128 pp., http://www.tyndall.ac.uk/sites/default/files/it1_11.pdf (last access: 17 November 2016), 2004.
Albano, R., Sole, A., and Adamowski, J.: READY: a web-based geographical information system for enhanced flood resilience through raising awareness in citizens, Nat. Hazards Earth Syst. Sci., 15, 1645–1658, https://doi.org/10.5194/nhess-15-1645-2015, 2015.
Asadzadeh, A., Kotter, T., and Zebardast, E.: An augmented approach for measurement of disaster resilience using connective factor analysis and analytic network process (F'ANP) model, International Journal of Disaster Risk Reduction, 14, 504–518, https://doi.org/10.1016/j.ijdrr.2015.10.002, 2015.
Balteanu, D., Micu, D., Costache, A., Diana, D., and Persu, M.: Socio-economic Vulnerability to Floods and Flashfloods in the Bend Subcarpathians, Romania, 15th International Multidisciplinary Scientific Geoconference (SGEM), Albena, Bulgaria, WOS:000371663400074, 577–584, 2015.
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Short summary
Flash flooding is the leading cause of weather-related deaths. Therefore, a comprehensive assessment of the social risk component is necessary. Integrated social vulnerability can incorporate spatial distribution and contribution and the combined effect of exposure, sensitivity and resilience, and it can be expressed as the integrated social vulnerability index (ISVI). ISVI makes it possible to design tailor-made strategies for flood risk management, thereby increasing the efficiency of plans.
Flash flooding is the leading cause of weather-related deaths. Therefore, a comprehensive...
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