Articles | Volume 370
Proc. IAHS, 370, 9–14, 2015
Proc. IAHS, 370, 9–14, 2015
11 Jun 2015
11 Jun 2015

Opportunities for multivariate analysis of open spatial datasets to characterize urban flooding risks

S. Gaitan and J. A. E. ten Veldhuis

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Cited articles

Ashley, R., Balmforth, D., Saul, A., and Blanskby, J.: Flooding in the future predicting climate change, risks and responses in urban areas, Water Sci. Technol., 52, 265–273, 2005.
Centraal Bureau voor de Statistiek: Statistische gegevens per vierkant – Statistischegegevenspervierkantupdatejuli2013.pdf, Kaart met statistieken per vierkant van 100 bij 100 meter, available at: (last access: 26 March 2014), 2013.
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Fontanazza, C. M., Freni, G., La Loggia, G., and Notaro, V.: Uncertainty evaluation of design rainfall for urban flood risk analysis, Water Sci. Technol., 63, 2641–2650, 2011.
Gaitan, S., Calderoni, L., Palmieri, P., Ten Veldhuis, M.-C., Maio, D., and van Riemsdijk, M. B.: From Sensing to Action: Quick and Reliable Access to Information in Cities Vulnerable to Heavy Rain, IEEE Sensors J., 14, 4175–4184,, 2014.
Short summary
The objective of this paper is to outline opportunities for multivariate analysis of open spatial datasets to characterize urban flooding risks. To that end, a cluster analysis is performed. Results indicate that incidence of rainfall-related impacts is higher in areas characterized by older infrastructure and higher population density.