Revista geológica de América central ISSN Impreso: 0256-7024 ISSN electrónico: 2215-261X

OAI: https://revistas.ucr.ac.cr/index.php/geologica/oai
Flood risk method for scarce-data catchments and municipalities
Most Panamanian floods are in Panama city but some particular rural catchments such as La Villa River in Azuero Peninsula are commonly affected
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Keywords

Flood risk assessment
Developing countries
Data scarcity
Municipal-level analysis
Catchment-scale extrapolation
Evaluación del riesgo de inundaciones
Países en desarrollo
Escasez de datos
Análisis a nivel municipal
Extrapolación a escala de cuenca

How to Cite

Quesada-Román, A., Picado-Monge, A., Rivera-Solís, J., Hernández, M., Torres-Berhard, L., & Ruiz, M. (2025). Flood risk method for scarce-data catchments and municipalities. Revista geológica De América Central, 72. https://doi.org/10.15517/rgac.2025.64923

Abstract

Floods pose significant challenges in regions with limited resources and data, requiring simplified methodologies for effective risk assessment. This study presents a flexible framework for analyzing flood hazard, exposure, and vulnerability at the municipal level in data-scarce or developing countries. By integrating diverse data sources and employing statistical validation, the methodology ensures reliable results, even with minimal baseline information. It supports regional planning by facilitating flood risk calculations and extrapolations to watershed scales. While based on experiences in Central America, this approach is applicable globally, offering a systematic tool for flood risk assessments and environmental zoning in resource-constrained settings.

https://doi.org/10.15517/rgac.2025.64923
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Copyright (c) 2025 Adolfo Quesada-Román, Armando Picado-Monge, Jaime Rivera-Solís, Miguel Hernández, Lidia Torres-Berhard, Maynor Ruiz

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