MODELING FLOOD SUSCEPTIBILITY IN HYDROLOGICAL DATA-SCARCE STUDY AREAS

DOI: https://doi.org/10.4215/rm2024.e23024

Abstract

Hydrological information is essential for estimating the magnitude of floods, thus helping reduce losses and damage. However, when this data is scarce, it challenges flood modeling and risk assessment. In Brazil's west of Rio Grande do Sul, we used the Santa Maria hydrographic basin as a case study to estimate the river flow for different RP based on the statistical distribution of rainfall and river flow data and to simulate flood scenarios using a 2D IBER hydrological model.River flow estimates for 5, 10, 20, 30, and 50-year RP were obtained using the Giandotti equation. The results showed a high correlation between the river flows calculated from rainfall and the fluviometric data, using GEV and GumbelMax distribution. The areas susceptible to flooding are consistent with past flood events, validated with fieldwork and Sentinel imagery. River flows estimated from rainfall data can promote hydrological studies where fluviometric data is absent.

Keywords: River Flow Estimation; Generalized Extreme Values; Flood Susceptibility; Rosário Do Sul; Brazil.

Author Biographies

Anderson Augusto Volpato Sccoti, Federal University of Santa Maria, Santa Maria (RS), Brazil

PhD in Geography from the Postgraduate Program in Geography at the Federal University of Rio Grande do Sul, area of ​​concentration: Environmental Analysis. Post-Doctorate from the Postgraduate Program in Geography at the Federal University of Rondônia. He has experience in Geoprocessing and Environmental Analysis. He works with Geosciences and Thematic Cartography, with an emphasis on: Pedological, Geological, Geomorphological, Geoenvironmental mapping and identification of areas with Geological-Geomorphological risk. Class C Professor - Adjunct - Level 1, assigned to the Department of Geosciences at the Federal University of Santa Maria.

Susana Pereira, University of Porto, Porto, Portugal

Professor in the Department of Geography at the Faculty of Arts of the University of Porto. PhD in Physical Geography (2010) from the University of Porto and Post-Doctorate (2010-2016) at the University of Lisbon. Integrated researcher at the Centre for Studies in Geography and Spatial Planning of the University of Porto (G1 Nature and environmental dynamics) and collaborating researcher at the Centre for Geographical Studies of the University of Lisbon (Research Group in Environmental Risk Assessment and Management - RISKam). Author and co-author of more than 35 articles indexed in the Scopus database. Principal researcher of the research project FORLAND - Hydro-geomorphological risks in Portugal: forcing factors and applications to spatial planning, funded by FCT. Researcher in 10 national projects funded by FCT in the areas of Physical Geography, natural risk databases, natural and mixed hazards (slope instability, coastal erosion, floods, coastal erosion, tsunami, invasive species and forest fires) and researcher in European projects (INTERREG-SUDOE, Horizonte Europa). Co-authorship in more than 20 reports on the provision of services to the community in areas linked to Natural Risks, National Ecological Reserve and Municipal Civil Protection Emergency Plans.

Carlos Valdir Meneses Bateira, University of Porto, Porto, Portugal

PhD in Physical Geography presented to the Faculty of Arts of the University of Porto (Portugal) in 2002. He is currently an  Professor at the Faculty of Arts of the University of Porto and a Researcher at the Riskam group of the Centre for Geographical Studies of the Institute of Geography and Spatial Planning. He has experience in Geography, with emphasis on Physical Geography, and his main areas of activity/research are: Natural Hazards and Dynamics. His specific topics are related to Slope Movements, Natural Hazard Mapping; Physical Geography, Spatial Planning and Environmental Studies; Geographic Information Systems and spatial modelling in Hazards and Civil Protection.

Luis Eduardo de Souza Robaina, University of Santa Maria, Santa Maria (RS), Brazil

PhD in Geosciences from the Federal University of Rio Grande do Sul (1999) and Post-Doctorate at the University of Porto, Portugal and the University of Maine, Le Mans/France. He is currently a professor/collaborating researcher in the postgraduate program in geography at the Federal University of Rio Grande do Sul and a full professor at the Federal University of Santa Maria, in the geography course and the postgraduate program in geography and geosciences. He coordinates the CNPq LAGEOLAM Research Group organized in 1995. He has experience in the area of ​​Geosciences, with an emphasis on geomorphological, geoenvironmental and natural disaster studies.

Romario Trentin, Federal University of Santa Maria, Santa Maria (RS), Brazil

PhD in Geography from the Federal University of Paraná (2011). Post-Doctorate in Geography from Le Mans Université, France (2021) through the PrInt - Institutional Internationalization Program. He is currently a full professor in the Department of Geosciences, in the Postgraduate Program in Geography at the Federal University of Santa Maria. He has experience in the area of ​​Geosciences, with an emphasis on Geotechnologies, working mainly on the following topics: Hydrographic Basin, Sandblasting, Geomorphology, Land Use and Occupation, Geoenvironmental Characterization and Risk Areas.

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Published
16/10/2024
How to Cite
SCCOTI, Anderson Augusto Volpato et al. MODELING FLOOD SUSCEPTIBILITY IN HYDROLOGICAL DATA-SCARCE STUDY AREAS. Mercator, Fortaleza, v. 23, oct. 2024. ISSN 1984-2201. Available at: <http://www.mercator.ufc.br/mercator/article/view/e23024>. Date accessed: 26 jan. 2025. doi: https://doi.org/10.4215/rm2024.e23024.
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