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Proceedings of the International Association of Hydrological Sciences An open-access publication for refereed proceedings in hydrology
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Volume 370
Proc. IAHS, 370, 9–14, 2015
https://doi.org/10.5194/piahs-370-9-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Proc. IAHS, 370, 9–14, 2015
https://doi.org/10.5194/piahs-370-9-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

  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 S. Gaitan and J. A. E. ten Veldhuis
  • Department of Water Management, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Stevinweg 1 room 4.75, 2628CN, Delft, the Netherlands

Abstract. Cities worldwide are challenged by increasing urban flood risks. Precise and realistic measures are required to reduce flooding impacts. However, currently implemented sewer and topographic models do not provide realistic predictions of local flooding occurrence during heavy rain events. Assessing other factors such as spatially distributed rainfall, socioeconomic characteristics, and social sensing, may help to explain probability and impacts of urban flooding. Several spatial datasets have been recently made available in the Netherlands, including rainfall-related incident reports made by citizens, spatially distributed rain depths, semidistributed socioeconomic information, and buildings age. Inspecting the potential of this data to explain the occurrence of rainfall related incidents has not been done yet. Multivariate analysis tools for describing communities and environmental patterns have been previously developed and used in the field of study of ecology. The objective of this paper is to outline opportunities for these tools to explore urban flooding risks patterns in the mentioned datasets. 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.

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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.
The objective of this paper is to outline opportunities for multivariate analysis of open...
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