In 2011 Brazil experienced the worst disaster in the country’s history. There were 918 deaths and thousands made homeless in the mountainous region of Rio de Janeiro State due to several landslides triggered by heavy rainfalls. This area constantly suffers high volumes of rain and episodes of landslides. Due to these experiences, we used the MaCumBa (Massive CUMulative Brisk Analyser) software to identify rainfall intensity–duration thresholds capable of triggering landslides in the most affected municipalities of this region. More than 3000 landslides and rain data from a 10-year long dataset were used to define the thresholds and one year was used to validate the results. In this work, a set of three thresholds capable of defining increasing alert levels (moderate, high and very high) has been defined for each municipality. Results show that such thresholds may be used for early alerts. In the future, the same methodology can be replicated to other Brazilian municipalities with different datasets, leading to more accurate warning systems.

Landslides in the mountain region of Rio De Janeiro: A proposal for the semi-automated definition of multiple rainfall thresholds / Rosi A.; Canavesi V.; Segoni S.; Dias Nery T.; Catani F.; Casagli N.. - In: GEOSCIENCES. - ISSN 2076-3263. - ELETTRONICO. - 9(5):(2019), pp. 1-15. [10.3390/geosciences9050203]

Landslides in the mountain region of Rio De Janeiro: A proposal for the semi-automated definition of multiple rainfall thresholds

Rosi A.
Conceptualization
;
Canavesi V.
Data Curation
;
Segoni S.
Writing – Review & Editing
;
Catani F.
Supervision
;
Casagli N.
Supervision
2019

Abstract

In 2011 Brazil experienced the worst disaster in the country’s history. There were 918 deaths and thousands made homeless in the mountainous region of Rio de Janeiro State due to several landslides triggered by heavy rainfalls. This area constantly suffers high volumes of rain and episodes of landslides. Due to these experiences, we used the MaCumBa (Massive CUMulative Brisk Analyser) software to identify rainfall intensity–duration thresholds capable of triggering landslides in the most affected municipalities of this region. More than 3000 landslides and rain data from a 10-year long dataset were used to define the thresholds and one year was used to validate the results. In this work, a set of three thresholds capable of defining increasing alert levels (moderate, high and very high) has been defined for each municipality. Results show that such thresholds may be used for early alerts. In the future, the same methodology can be replicated to other Brazilian municipalities with different datasets, leading to more accurate warning systems.
2019
9(5)
1
15
Rosi A.; Canavesi V.; Segoni S.; Dias Nery T.; Catani F.; Casagli N.
File in questo prodotto:
File Dimensione Formato  
Rosi et al GEOSCIENCES 2019.pdf

accesso aperto

Descrizione: Articolo principale
Tipologia: Pdf editoriale (Version of record)
Licenza: Open Access
Dimensione 2.93 MB
Formato Adobe PDF
2.93 MB Adobe PDF

I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1160357
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 41
  • ???jsp.display-item.citation.isi??? 39
social impact