"SUSCEPTIBILITY EVALUATION TO INUNDATIONS AND FLOODING BASED ON THE ANALYSIS BETWEEN GEOMORPHOMETRY AND USE AND OCCUPATION FORMS IN DISTRITO FEDERAL (DF)"
1. Geoprocessing 2. Landform 3. Susceptibility to inundation and flooding 4. Land use and occupation
In Brazil, floods and inundations cause significant impacts in urban areas, including loss of
lives, environmental damage, and economic losses. In Distrito Federal, urban areas have been
established in gently to moderately sloping areas, which, combined with intense rainfall and the
characteristics of uncontrolled urbanization, result in disasters in this areas. In this context,
geotechnical studies and cartography play a crucial role in decision-making for territorial
planning. In relation to hydrological susceptibility maps, traditionally generated by
hydrological and hydrodynamic models, face challenges related to the lack of robust
hydrological data and the need for multiple data sets, which may not be available or have low
precision. This study’s objective was to apply methodologies based on hydrological
susceptibility analysis obtained by crossing products from Digital Elevation Models of 5 meters
and 1 meters: Slope, HAND Model and Slope Forms for inundation and Slope, and Slope Forms
and Land Use and Coverage for flooding. The areas of interest were chosen from microbasins
located in morphopedological compartments with high precision data. The methodology used
was based on the application of Map Algebra, assigning values to factors and their
corresponding classes. The classification resulted in categories of High Susceptibility, High
Susceptibility, Medium Susceptibility, Low Susceptibility and Very Low Susceptibility for
urban watersheds with percentage variations according to cartographic accuracy. The results
show that the selected microbasins have low to very low susceptibility to flooding with
hydrographic characteristics of the occurrence of streams and springs. Microbasins are more
prone to flooding because they have large urbanized areas and gentle slopes. The precision scale
variations presented similar final results, although there were percentage differences in the
analysis.