Identificação de áreas susceptíveis a inundação baseado em uma análise multicriterio com recurso a sistema de informação geográfica, caso de estudo: distrito de Marracuene

Abstract

This study aims to identify flood-prone areas in the Marracuene District, located in Maputo Province, through a multi-criteria analysis using Geographic Information Systems. To achieve this objective, six main factors were considered: slope, hypsometry, precipitation, land use and land cover, proximity to rivers, and soil type. Each of these factors was reclassified and weighted based on the Hierarchical Process Analysis method, allowing data integration through map algebra in the QGIS 3.28.1 environment. The results revealed that a significant portion of the district presents moderate, high, and very high levels of flood susceptibility, ranging from 45.03%, 16.7%, and 3.65%, respectively, with emphasis on areas adjacent to watercourses. The application of the methodology has proven effective in supporting territorial planning and environmental risk management, providing relevant support for decision-making by municipal authorities(TRADUÇÃO NOSSA)