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Graduated in Civil Engineering from the Polytechnic School of the Federal University of Rio de Janeiro (2018). Academic exchange at Politecnico di Milano (POLIMI), Italy, through the Science without Borders Program, from CAPES. Scientific Initiation Student and Intern at the Computational Hydraulics Laboratory at COPPE / UFRJ, participating in several research projects. Works in the area of Civil Engineering, with an emphasis on Hydraulic Engineering, Rainwater Management, Urban Drainage and Hydraulic Modeling.
Urbanization increases imperviousness and reduces infiltration, retention, and evapotranspiration, frequently aggravating urban flooding due to greater runoff and higher and faster discharge peaks. Effective strategies to mitigate flood risks require a better understanding of the watershed dynamics and space to reverse the negative impacts. However, often cities do not have proper data sets to feed mathematical models that would be helpful in mapping water dynamics. Attempts to reduce flood risks have been made for decades by means of structural interventions but were frequently designed within the logic of a local scale, using limited available spaces and often merely shifting flooding downstream. Therefore, assessing urban floods requires a modeling approach capable of reflecting the watershed scale, considering interactions between hydraulic structures and urban landscape, where best practices and non-structural measures aim to improve community flood resilience through the reduction of social and financial costs in the long run. This paper proposes an integrated approach to analyze low impact development (LID) practices complemented by non-structural measures in a case study in southern Italy, supported by mathematical modeling in a strategy to overcome a context of almost no available data and limited urban open spaces.
Giuseppe Barbaro; Marcelo Miguez; Matheus de Sousa; Anna Ribeiro da Cruz Franco; Paula de Magalhães; Giandomenico Foti; Matheus Valadão; Irene Occhiuto. Innovations in Best Practices: Approaches to Managing Urban Areas and Reducing Flood Risk in Reggio Calabria (Italy). Sustainability 2021, 13, 3463 .
AMA StyleGiuseppe Barbaro, Marcelo Miguez, Matheus de Sousa, Anna Ribeiro da Cruz Franco, Paula de Magalhães, Giandomenico Foti, Matheus Valadão, Irene Occhiuto. Innovations in Best Practices: Approaches to Managing Urban Areas and Reducing Flood Risk in Reggio Calabria (Italy). Sustainability. 2021; 13 (6):3463.
Chicago/Turabian StyleGiuseppe Barbaro; Marcelo Miguez; Matheus de Sousa; Anna Ribeiro da Cruz Franco; Paula de Magalhães; Giandomenico Foti; Matheus Valadão; Irene Occhiuto. 2021. "Innovations in Best Practices: Approaches to Managing Urban Areas and Reducing Flood Risk in Reggio Calabria (Italy)." Sustainability 13, no. 6: 3463.
Flood risk is generally composed of two parts: the probability of happening a hazardous event and its consequences. The first part is the source of risk and it is mainly given by the flooding magnitudes, although flow velocities and flooding permanence may play important roles. The second one reflects the vulnerability of the socioeconomic system exposed to flooding. Three aspects can represent vulnerability: exposure, susceptibility and value. Additionally, resilience can work to diminish vulnerability, incorporating the system responsive capacity. However, it is usual that risk assessment considers only the direct damage of flooding, tending to prioritize areas with high potential losses using an economic-based approach. This approach can exclude socioeconomically vulnerable communities from receiving proper attention and consequent investments in flooding mitigation measures. In this context, this paper presents an index to measure the Socioeconomic Recovery Capacity of urban areas prone to flooding through a multi-criteria approach, contributing to knowledge by introducing a social bias into flood risk discussion. The Flood Risk to Socioeconomic Recovery Capacity Index (Ri-SoRCI) considers the relative potential damage of flooding events, based on the capacity of the affected inhabitants to recover from losses. The Ri-SoRCI represents a socioeconomic parcel of the flood risk, through two indicators. The first represents the economic recovery capacity of an impacted region. The second indicates the region’s social vulnerability. The Ri-SoRCI was applied to the Canal do Mangue basin, in Rio de Janeiro, Brazil, supported by an environmental modeling tool able to simulate flooding phenomena with an integrated approach. The result shows the risk variation for different areas, from the socioeconomic point of view, subsidizing decision-making for public investments and allowing the construction of sustainability indicators to assess multiple scenarios. The case study validated the proposed index.
Osvaldo Moura Rezende; Anna Beatriz Ribeiro Da Cruz De Franco; Antonio Krishnamurti Beleño de Oliveira; Francis Martins Miranda; Ana Caroline Pitzer Jacob; Matheus Martins de Sousa; Marcelo Gomes Miguez. Mapping the flood risk to Socioeconomic Recovery Capacity through a multicriteria index. Journal of Cleaner Production 2020, 255, 120251 .
AMA StyleOsvaldo Moura Rezende, Anna Beatriz Ribeiro Da Cruz De Franco, Antonio Krishnamurti Beleño de Oliveira, Francis Martins Miranda, Ana Caroline Pitzer Jacob, Matheus Martins de Sousa, Marcelo Gomes Miguez. Mapping the flood risk to Socioeconomic Recovery Capacity through a multicriteria index. Journal of Cleaner Production. 2020; 255 ():120251.
Chicago/Turabian StyleOsvaldo Moura Rezende; Anna Beatriz Ribeiro Da Cruz De Franco; Antonio Krishnamurti Beleño de Oliveira; Francis Martins Miranda; Ana Caroline Pitzer Jacob; Matheus Martins de Sousa; Marcelo Gomes Miguez. 2020. "Mapping the flood risk to Socioeconomic Recovery Capacity through a multicriteria index." Journal of Cleaner Production 255, no. : 120251.