Model-based assessment of shallow landslides susceptibility at a petrochemical site in Brazil

Autor: Victor Carvalho Cabral, Fábio Augusto Gomes Vieira Reis, Carolina Martinez Mendoza, Alan Oliveira

Publikováno v: Revista Brasileira de Geomorfologia, Vol 23, Iss 2 (2022)

The Serra do Mar mountain range is the main site of shallow-landslides occurrence in Brazil. The application of physically-based models is an effective method to predict landslide susceptibility, which is of great importance in hazard assessments and

Externí odkaz: https://doaj.org/article/e3ddd77342c349668c3b6f38081342ee

Sedimentary facies and depositional model of the Lower Cretaceous Quiricó Formation (Sanfranciscana Basin, Brazil) and their implication for the occurrence of vertebrate fauna at the Coração de Jesus region

Autor: Victor Carvalho Cabral, Patricia Colombo Mescolotti, Filipe Giovanini Varejão

Publikováno v: Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP

Made available in DSpace on 2022-04-28T19:47:10Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-12-01 Agência Nacional do Petróleo, Gás Natural e Biocombustíveis Society for the Study of Evolution Petrobras The Coração de Jesus region, n

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b723001110d0e6be7d9596306cdf82fa

Assessment of Shallow Landslides Susceptibility Using SHALSTAB and SINMAP at Serra Do Mar, Brazil

Autor: Fábio Augusto Gomes Vieira Reis, Victor Carvalho Cabral

Publikováno v: Understanding and Reducing Landslide Disaster Risk ISBN: 9783030602260

The Serra do Mar mountain range in Brazil is highly susceptible to shallow landslides initiation, due to its relief and high rainfall index. The aim of this study is the application and comparative performance analysis of SHALSTAB and SINMAP in the l

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::71560e3350b1ae87fbba74ebddeea303
https://doi.org/10.1007/978-3-030-60227-7_28

Assessment of the Influence of Rainfall and Landform on Landslide Initiation Using Physiographic Compartmentalisation

Autor: Lucilia do Carmo Giordano, Natália Rafaela Almeida, Fábio Augusto Gomes Vieira Reis, Carolina Martinez Mendoza, Claudia Vanessa dos Santos Corrêa, Victor Carvalho Cabral, Vinicius Veloso

Publikováno v: Anuário do Instituto de Geociências; Vol 42, No 2 (2019); 407-420
Anuário do Instituto de Geociências
Universidade Federal do Rio de Janeiro (UFRJ)
instacron:UFRJ
Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP

Made available in DSpace on 2020-12-12T01:41:47Z (GMT). No. of bitstreams: 0 Previous issue date: 2019-01-01 Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Fundação para o Desenvolvimento da UNESP (FUNDUNESP) Universidade Es

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83355f36e9e61f588b56ea6238fadb28
https://revistas.ufrj.br/index.php/aigeo/article/view/30236