Name: FERNANDO DE ALMEIDA FELIX
Publication date: 31/10/2024
Examining board:
Name |
Role |
|---|---|
| ANDRE LUIZ NASCENTES COELHO | Examinador Interno |
| ANTONIO CELSO DE OLIVEIRA GOULART | Presidente |
| BARTOLOMEU ZAMPROGNO | Examinador Interno |
| EDUARDO VEDOR DE PAULA | Examinador Externo |
Summary: The town of Vila Velha, placed on the Metropolitan Region of Grande Vitória, Espírito
Santo, has been historically affected by mass movement, associated to extreme
events of rain. The occurrence of those phenomenon in urban environments shows
great potential to cause disasters and human, material, and environmental losses. This
research has the objective of elaborating a study to estimate a correlation between
rainfall and mass movements events, by means of an empirical based model of
measured rain database and geodynamic process registers in the risk areas of Maciço
de Jaburuna, Vila Velha – ES through the analysis of inspection report from
municipality Civil Defense, in order to produce a subsidy to deploy early warning
systems and to implement others good practices on Civil’s Protection and Defense.
There were identified 43 geological occurrences registered in this location during the
period of 2005 to 2022, surveying the specification of the landslide, the event date, the
horary, the kind of rupture occurred and the geographic coordinates of each one of
these processes, which could be correlated with the information obtained from the
rainfall database built to this region. The evaluation of the correlation curves indicates
the time intervals of 6 hours, 24 hours and 96 hours are the most influential in triggering
landslides. Notably, the great intensity and short-term rains play a significant role. The
analysis suggests that these rains can cause mass movement independently of early
accumulated rainfall. The minimum values observed for geological events are 22.99
mm/6h, 39.22 mm/24h and 53.63 mm/96h, defined as monitoring thresholds at the
observation level. Values above 39.22 mm/6h, 39.22 mm/24h and 58.08 mm/96h have
been defined as attention level thresholds. As warning level thresholds, values above
93.91 mm/6h, 111.23 mm/24h and 132.05 mm/96h were established.
