The objective of this study was to use physically based models to carry out a back-analysis
of the set of factors that may have influenced slope instability and the consequent …

A existência de uma relação entre cobertura florestal e provisão de água é foco de estudos
há décadas, especialmente no que diz respeito às funções eco-hidrológicas da vegetação …

Landslides are common features in the Serra do Mar, located along the southeastern
Brazilian coast, most of them associated with intense summer storms, specially on the soil …

Empirical models based on machine learning methods have been used for landslide
susceptibility mapping. The most accurate model is usually chosen to generate the final …

In this paper we synthesize the special sessions of the XXIII Brazilian Water Resources
Symposium 2019 in order to understand the major advances and challenges in the water …

Landslides are among the most frequent hazards in Latin America and the world. In Brazil,
they occur every year and cause economic and social loss. Landslide inventories are …

Mapping shallow landslide inventories represents the initial stage in conducting
susceptibility, vulnerability, and risk analyses. The identification of areas with a history of …

Landslides are natural processes triggered by complex relationships between many
conditioning factors. In Rio de Janeiro city, intense rainstorms combined with steep slopes …

O termo risco é entendido de diversas maneiras e seu estudo é orientado a partir de
diferentes pressupostos ontológicos, envolvendo diferentes posturas metodológicas e …

Este trabalho tem o objetivo de desenvolver e avaliar um procedimento de análise de
Modelos Digitais de Elevação (MDE) com Sistemas de Informação Geográfica (SIG) para …