Abstract

This paper presents the application of a graph-based methodology for the assessment of flood impacts in an urban context. In this methodology, exposed elements are organized as nodes on a graph, which is used to propagate impacts from directly affected nodes to other nodes across graph links. Compared to traditional approaches, the main advantage of the adopted methodology lies in the possibility of identifying and understanding indirect impacts and cascading effects. The application case concerns floods numerically reconstructed in Mexico City in response to rainfall events of increasing return periods. The hazard reconstruction was carried out by using a simplified hydrological/hydraulic model of the urban drainage system, implemented in EPASWMM, the Storm Water Management Model developed by the United States Environmental Protection Agency. The paper shows how the impacts are propagated along different orders of the impact chain for each return period and compares the risk curves between direct and indirect impact. It also highlights the extent to which the reduction in demand of services from consumers and the loss of services from suppliers are respectively contributing to the final indirect impacts. Finally, it illustrates how different impact mitigation measures can be formulated based on systemic information provided by the analysis of graph properties and taking into account indirect impacts.

Highlights

  • Floods have become one of the most dangerous and costly natural hazards in recent decades.Economic damage reported worldwide from 2000 to 2006 add up to more than 422 billion dollars, accompanied by more than 290,000 fatalities and over 1.5 billion affected people [1]

  • This work focussed on the analysis of the direct and indirect impacts of flood in a complex urban environment that is Mexico City

  • We proposed and applied a graph-based methodology to estimate the total impact of the reconstructed floods and illustrated how graph properties may be used to support the design of mitigation measures

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Summary

Introduction

Floods have become one of the most dangerous and costly natural hazards in recent decades.Economic damage reported worldwide from 2000 to 2006 add up to more than 422 billion dollars, accompanied by more than 290,000 fatalities and over 1.5 billion affected people [1]. The most dangerous flood events usually take place in urban areas, where the highest number of inhabitants and the most valuable exposed assets are located today, due to current urbanization trends [2]. Another factor contributing to the negative effects of floods is climate change, which appears to be concentrating the total yearly rainfall volume in increasingly sporadic and intense rain events [3]. Due to the rapidity of the governing processes, mainly related to short concentration times, flood events in urban areas typically occur with little to no early warning, being commonly referred to as flash floods

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