Articles | Volume 370
Proc. IAHS, 370, 9–14, 2015
https://doi.org/10.5194/piahs-370-9-2015
Proc. IAHS, 370, 9–14, 2015
https://doi.org/10.5194/piahs-370-9-2015
 
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: http://www.cbs.nl/NR/rdonlyres/661D884F-CF5B-4192-8138-EA959D540EFE/0/Statistischegegevenspervierkantupdatejuli2013.pdf (last access: 26 March 2014), 2013.
Dutch Ministry of Interior and Kingdom Relations: Open Data NEXT in English – Data.overheid.nl: het opendataportaal van de Nederlandse overheid, Data.overheid.nl: het opendataportaal van de Nederlandse overheid [online] available at: https://data.overheid.nl/english (last access: 1 December 2014), 2014.
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, https://doi.org/10.1109/JSEN.2014.2354980, 2014.
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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.