Abstract:Due to their frequency and magnitude, urban floods affect different regions of the world. For this reason, several methodologies integrate information on hazard (H) and vulnerability (V) using a "Classic" Risk (R) model for risk analysis. However, this combination of variables generally overestimates the risk in places where the frequency of flooding is low. In this work we propose a model that we call Adjusted Risk (AR) that integrates values of urban proximity (p) to bodies of water, as a tool to assess th… Show more
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