MAPEAMENTO DA PERCEPÇÃO SOCIAL E ASPECTOS FÍSICOS DOS ALAGAMENTOS E INUNDAÇÕES NO CONTEXTO DO MICROPLANEJAMENTO URBANO

Abstract

Floodings and inundations have been some of the most frequent extreme events affecting cities around the world. The advanced world’s urbanization has resulted in radical changes in land use and land cover and has developed consequences that are hard to resolve, like heat islands, extreme events and risks of human life and material lost. The objective of the work is maping flooding and inundation routes, through spatialized social perception, besides to those explained by the Civil Defense of Campo Grande, as well as to investigate the conditioning factors of the current scenario, compiling information from the physical and social aspects through machine learning. As an application study, the neighborhood Santo Antônio was chosen, located in Campo Grande, Mato Grosso do Sul, one of the oldest neighborhoods in the city. The results aim to subsidize instruments for public policies facing the problems of flooding and inundation and in the adoption of mitigating measures in favor of well-being and quality of life in cities.