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Spatial distribution, temporal trends and impact of landslides on São Miguel Island from 1900 to 2020 based on an analysis of the Azores historical natural hazards database
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Orientador(es)
Resumo(s)
Landslides are the most frequent type of natural hazard in the Azores archipelago, primarily
due to the volcanic nature and geomorphologic features of the islands. The NATHA (Natural Hazards in Azores) database is a repository of documents reporting those natural disaster events that have occurred on the Azores since their settlement in the mid-ffteenth century. This work presents and explores the landslide events that have occurred on São Miguel
Island in the period 1900–2020. A total of 236 landslide events were catalogued. The temporal distribution of the landslide events reveals a higher concentration of events after 1996,
which is related to a change in the rainfall regime but also to the increasing dissemination
of information. The infuence of climate change on landslide occurrence is demonstrated for
the frst time in the Azores. The landslide events catalogued in the NATHA database were
responsible for 82 fatalities, 41 injuries and 305 people made homeless, while 66 buildings
were partially or completely destroyed. The spatial distribution of landslide events shows
that Povoação is the municipality most prone to landslide occurrence as well as to landslide
impact. Rainfall was the triggering factor of most landslide events (70%) on São Miguel
Island, and landslide events have been most frequent during the wettest months of the year
from November to March. The obtained results demonstrate the need of landslides prevention and preparedness programs in specifc areas of São Miguel Island.
Descrição
Palavras-chave
Landslides Rainfall NATHA database São Miguel Island Azores
Contexto Educativo
Citação
Silva, R.F., Marques, R., & Zêzere, J.L. (2023). Spatial distribution, temporal trends and impact of landslides on São Miguel Island from 1900 to 2020 based on an analysis of the Azores historical natural hazards database. Natural Hazards, 120(3), 2617–2638. https://doi.org/10.1007/s11069-023-06296-0
Editora
Springer