the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Urban growth and spatial segregation increase disaster risk: Lessons learned from the 2023 disaster on the North Coast of São Paulo, Brazil
Abstract. Urban growth and the increase in urban poverty are important drivers of disaster risk. However, the influence of these processes on the dynamics of exposure and vulnerability remains uncertain. We hereby contribute to this discussion by presenting key lessons learned from the hazardous event that hit the North Coast of São Paulo (NCSP), Brazil, in February 2023. While the event was triggered by rainfall amounts of over 500 millimeters in a day, urban development processes also influenced the disaster impacts. In this paper, we quantify these influences through a data integration approach combining empirical evidence on the historical evolution of urban settlements with damage mapping. We also evaluate the factors driving urban growth and spatial segregation in the region. We found out that the disaster impacts were largely attributed to historical urban growth, as 46 % fewer buildings would have been damaged if the same event had happened around two decades earlier, i.e., in 2001. Also, precarious urban settlements were considerably more exposed and vulnerable to the event, as evidenced by the density of damaged buildings, i.e., 12 times higher than in non-precarious settlements. We also observed strong patterns of spatial segregation in the NCSP. For instance, precarious settlements are much more frequent at hazardous locations, including on and at shorter distances from steep slopes. While this paper presents an analysis at the local level, the challenges of urbanization and growing intra-urban inequalities are global. Thus, these results reinforce the importance of accounting for such urban processes in disaster risk reduction interventions, and the urgent need for research efforts that go beyond the hazard component, e.g., through an improvement of methods to simulate urban scenarios in the scope of disaster risk.
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Notice on discussion status
The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
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Preprint
(2607 KB)
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The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
- Preprint
(2607 KB) - Metadata XML
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- Final revised paper
Journal article(s) based on this preprint
Interactive discussion
Status: closed
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CC1: 'Comment on egusphere-2024-1188', Lorraine Trento Oliveira, 06 May 2024
This paper shows important evidence of hazard exposure in secondary LMIC cities and shed light in the disparities on the level of exposure and vulnerability of low-income neighborhoods. It adds to the body of knowledge with the spatial and temporal analysis of urban growth and the influences to disaster risk. The manuscript can have minor revisions: (1) the introduction would benefit from more literature review on urban growth (spatially explicit) factors as well as a methodological flowchart figure; (2) more details on the processing and analysis should be provided e.g. choice of cell size, intersection of FUC´s shapefile with WSF layer, handling of collinearity of factors etc; (3) future research should use this as baseline for prediction on exposure of the same study area, considering different land use change scenarios, as well as the inclusion of more contextual factors (such as distance to CBD).
- AC3: 'Reply on CC1', Cassiano Bastos Moroz, 25 Jul 2024
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RC1: 'Comment on egusphere-2024-1188', Julio Cesar Pedrassoli, 06 May 2024
Global evidence indicates that ongoing climate change is already impacting, and will continue to impact in the future, urban populations and, furthermore, precarious urban occupations, especially in middle- and low-income countries in the global south, are likely to suffer the consequences of these impacts in a more direct and devastating way. In this way, this article, by analyzing the direct impacts of a recent extreme event in an extremely socially and spatially segregated Brazilian urban area, is of great scientific significance, especially as it demonstrates the disproportionality of the impacts on formal and informal urban areas.
As for the methods used and the general quality of the input data in the analytical model, the work follows the necessary rigor and presents the results clearly. As a caveat, the work would benefit from a better development of the concept of susceptibility. Vulnerability is developed in a substantial way, however, taking into account the idea that risk can be understood as the interface between susceptibility and vulnerability, characterizing the natural susceptibility of the São Sebastião region, especially due to its very steep topography, would be beneficial from a conceptual point of view. In addition, it would be interesting to deal in a little more detail with some of the other layers of complexity of the specific event on which the article is based: there was also a failure in the risk communication process, as the local government had received official warnings of a large amount of rain forecast some time in advance (https://agenciabrasil.ebc.com.br/geral/noticia/2023-02/centro-de-monitoramento-emitiu-alertas-tres-dias-antes-dos-temporais) but chose not to take any action. In addition, the risk areas were previously mapped, according to a report by the São Paulo State Institute for Technological Research (https://www.sidec.sp.gov.br/map_risco/uploads/doc1637073821.pdf).
Overall, the paper is presented clearly with appropriate language, figures, and references, and its conclusions have great potential for applying better tools to public policies for monitoring and assessing risks related to extreme events in cities in the global south.Citation: https://doi.org/10.5194/egusphere-2024-1188-RC1 - AC1: 'Reply on RC1', Cassiano Bastos Moroz, 25 Jul 2024
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RC2: 'Comment on egusphere-2024-1188', Anonymous Referee #2, 25 Jun 2024
Please see the attached document for comments and suggestions.
- AC2: 'Reply on RC2', Cassiano Bastos Moroz, 25 Jul 2024
Interactive discussion
Status: closed
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CC1: 'Comment on egusphere-2024-1188', Lorraine Trento Oliveira, 06 May 2024
This paper shows important evidence of hazard exposure in secondary LMIC cities and shed light in the disparities on the level of exposure and vulnerability of low-income neighborhoods. It adds to the body of knowledge with the spatial and temporal analysis of urban growth and the influences to disaster risk. The manuscript can have minor revisions: (1) the introduction would benefit from more literature review on urban growth (spatially explicit) factors as well as a methodological flowchart figure; (2) more details on the processing and analysis should be provided e.g. choice of cell size, intersection of FUC´s shapefile with WSF layer, handling of collinearity of factors etc; (3) future research should use this as baseline for prediction on exposure of the same study area, considering different land use change scenarios, as well as the inclusion of more contextual factors (such as distance to CBD).
- AC3: 'Reply on CC1', Cassiano Bastos Moroz, 25 Jul 2024
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RC1: 'Comment on egusphere-2024-1188', Julio Cesar Pedrassoli, 06 May 2024
Global evidence indicates that ongoing climate change is already impacting, and will continue to impact in the future, urban populations and, furthermore, precarious urban occupations, especially in middle- and low-income countries in the global south, are likely to suffer the consequences of these impacts in a more direct and devastating way. In this way, this article, by analyzing the direct impacts of a recent extreme event in an extremely socially and spatially segregated Brazilian urban area, is of great scientific significance, especially as it demonstrates the disproportionality of the impacts on formal and informal urban areas.
As for the methods used and the general quality of the input data in the analytical model, the work follows the necessary rigor and presents the results clearly. As a caveat, the work would benefit from a better development of the concept of susceptibility. Vulnerability is developed in a substantial way, however, taking into account the idea that risk can be understood as the interface between susceptibility and vulnerability, characterizing the natural susceptibility of the São Sebastião region, especially due to its very steep topography, would be beneficial from a conceptual point of view. In addition, it would be interesting to deal in a little more detail with some of the other layers of complexity of the specific event on which the article is based: there was also a failure in the risk communication process, as the local government had received official warnings of a large amount of rain forecast some time in advance (https://agenciabrasil.ebc.com.br/geral/noticia/2023-02/centro-de-monitoramento-emitiu-alertas-tres-dias-antes-dos-temporais) but chose not to take any action. In addition, the risk areas were previously mapped, according to a report by the São Paulo State Institute for Technological Research (https://www.sidec.sp.gov.br/map_risco/uploads/doc1637073821.pdf).
Overall, the paper is presented clearly with appropriate language, figures, and references, and its conclusions have great potential for applying better tools to public policies for monitoring and assessing risks related to extreme events in cities in the global south.Citation: https://doi.org/10.5194/egusphere-2024-1188-RC1 - AC1: 'Reply on RC1', Cassiano Bastos Moroz, 25 Jul 2024
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RC2: 'Comment on egusphere-2024-1188', Anonymous Referee #2, 25 Jun 2024
Please see the attached document for comments and suggestions.
- AC2: 'Reply on RC2', Cassiano Bastos Moroz, 25 Jul 2024
Peer review completion
Journal article(s) based on this preprint
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Cassiano Bastos Moroz
Annegret H. Thieken
The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
- Preprint
(2607 KB) - Metadata XML