Abstract

This work studies the influence of various factors on the spatial distribution of flash flooding in urban areas. It examines an extreme precipitation event that occurred in 2013, in Athens, Greece, causing flooding and damages in various parts of the city. GIS was used to determine the values of potentially flood-influencing parameters, while logistic regression was used to examine the statistical correlation between their values and the respective values at the locations of 1138 flooded buildings. Statistical significance and other metrics were used to measure the influence of these factors on the distribution of flooding. Results showed that certain factors, including the degree of soil sealing, accumulated rainfall, slope and others, influence the distribution of flooding to significantly different degrees. Incorporation of building characteristics into the regression model increased further its coherence. The study showed a strong relationship between a combination of factors and flood occurrence with R2 reaching 0.63 and a prediction accuracy of 82.9%. The degree of soil sealing and slope were the most influential in determining the distribution of flooding. However, when building parameters were incorporated, the level of a building's lower opening in comparison with ground level was by a significant margin the most important parameter.

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