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  4. Flood Risk Assessment Index for Urban Mobility with the Aid of Quasi-2d Flood Model Applied to an Industrial Park in São Paulo, Brazil

Flood Risk Assessment Index for Urban Mobility with the Aid of Quasi-2d Flood Model Applied to an Industrial Park in São Paulo, Brazil

Author(s)
Matheus Martins de Sousa
Osvaldo Moura Rezende
Ana Caroline Pitzer Jacob
Luiza Batista de França Ribeiro
Paula Morais Canedo de Magalhães
Marcelo Gomes Miguez
Date Issued
18 de noviembre de 2022
Type
Article
Volume
7
Issue
11
Start Page
158
End Page
158
DOI
10.3390/infrastructures7110158
Abstract
Risk can be defined as the relationship between the likelihood of a hazard causing a potential disaster and its consequences. This study aims to assess the likelihood that a new industrial region, located in the state of São Paulo (Brazil), will be flooded, causing the disruption of the mobility system and local economic activities. To fulfill this aim, a new approach is proposed by combining the vector information of the highway network that serves the region with the result of a quasi 2-D raster flood model, generating a set of interpreting rules for classifying the safety of routes. The model called MODCEL is a quasi-2D hydrodynamic model that represents the watershed using compartments called cells, and it was adapted to work using a raster file format in which each pixel is represented as a flow cell connected to its surroundings by the Saint-Venant equations without the inertia terms. Therefore, this study proposes an assessment framework that can be replicated for similar problems of flood risks to mobility. The possible effects of flood events on the accessibility to areas of interest are determined, indicating a possible disruption to economic activities and transportation and allowing for planning alternatives in advance.
Subjects

Flood myth

Raster graphics

Hazard

Watershed

Computer science

Set (abstract data ty...

Work (physics)

Civil engineering

Transport engineering...

Operations research

Environmental science...

Geography

Mathematics

Engineering

Artificial intelligen...

Machine learning

Chemistry

Programming language

Archaeology

Mechanical engineerin...

Organic chemistry

Flood myth

Raster graphics

Hazard

Watershed

Computer science

Set (abstract data ty...

Work (physics)

Civil engineering

Transport engineering...

Operations research

Environmental science...

Geography

Mathematics

Engineering

Artificial intelligen...

Machine learning

Physical Sciences Env...

Physical Sciences Eng...

Physical Sciences Ear...

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