Spatial distribution, temporal trends and impact of landslides on Sao Miguel Island from 1900 to 2020 based on an analysis of the Azores historical natural hazards database

被引:1
|
作者
Silva, Rui Fagundes [1 ,2 ]
Marques, Rui [1 ,2 ]
Zezere, Jose Luis [3 ]
机构
[1] Univ Azores, Res Inst Volcanol & Risk Assessment, Rua Mae Deus, P-9500321 Ponta Delgada, Portugal
[2] Univ Azores, Ctr Informat & Seismovolcan Surveilance Azores, Rua Mae Deus, P-9500321 Ponta Delgada, Portugal
[3] Univ Lisbon, Ctr Geog Studies, IGOT, Rua Branca Edmee Marques, P-1600276 Lisbon, Portugal
关键词
Landslides; Rainfall; NATHA database; Sao Miguel Island; Azores; ERUPTIVE HISTORY; VOLCANO; INVENTORY; PORTUGAL; RAINFALL; ARCHIVES; NORTH; CHINA; FLOOD; TOOL;
D O I
10.1007/s11069-023-06296-0
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
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-fifteenth century. This work presents and explores the landslide events that have occurred on Sao 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 influence of climate change on landslide occurrence is demonstrated for the first 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 Povoacao 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 Sao 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 specific areas of Sao Miguel Island.
引用
收藏
页码:2617 / 2638
页数:22
相关论文
共 6 条
  • [1] 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
    Rui Fagundes Silva
    Rui Marques
    José Luís Zêzere
    Natural Hazards, 2024, 120 : 2617 - 2638
  • [2] Genealogical and molecular analysis of a family-based cohort of congenital heart disease patients from the SAo Miguel Island (Azores, Portugal)
    Cabral, Rita
    Pires, Renato
    Anjos, Rui
    Branco, Claudia C.
    Maciel, Paula
    Mota-Vieira, Luisa
    ANNALS OF HUMAN BIOLOGY, 2016, 43 (06) : 547 - 553
  • [3] Analysis of spatial and temporal characteristics of major natural disasters in China from 2008 to 2021 based on mining news database
    Chenchen Yang
    Han Zhang
    Xunhua Li
    Zongyi He
    Junli Li
    Natural Hazards, 2023, 118 : 1881 - 1916
  • [4] Analysis of spatial and temporal characteristics of major natural disasters in China from 2008 to 2021 based on mining news database
    Yang, Chenchen
    Zhang, Han
    Li, Xunhua
    He, Zongyi
    Li, Junli
    NATURAL HAZARDS, 2023, 118 (03) : 1881 - 1916
  • [5] Spatial and temporal distribution patterns of Anopheles arabiensis breeding sites in La Reunion Island - multi-year trend analysis of historical records from 1996-2009
    Gouagna, Louis C.
    Dehecq, Jean-Sebastien
    Girod, Romain
    Boyer, Sebastien
    Lemperiere, Guy
    Fontenille, Didier
    PARASITES & VECTORS, 2011, 4
  • [6] Spatial and temporal distribution patterns of Anopheles arabiensis breeding sites in La Reunion Island - multi-year trend analysis of historical records from 1996-2009
    Louis C Gouagna
    Jean-Sébastien Dehecq
    Romain Girod
    Sebastien Boyer
    Guy Lempérière
    Didier Fontenille
    Parasites & Vectors, 4