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1. Identity statement
Reference TypeJournal Article
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W/3FCLDF8
Repositorysid.inpe.br/plutao/2013/12.12.17.16   (restricted access)
Last Update2014:01.20.12.06.23 (UTC) administrator
Metadata Repositorysid.inpe.br/plutao/2013/12.12.17.16.18
Metadata Last Update2021:03.06.05.20.32 (UTC) administrator
DOI10.5194/nhessd-1-5199-2013
ISSN2195-9269
Labellattes: 0554631424547411 1 CamarinhaCanaAlva:2013:ShLaPr
Citation KeyCamarinhaCanaAlva:2013:ShLaPr
TitleShallow landslide prediction and analysis with risk assessment using a spatial model in the coastal region in the state of São Paulo, Brazil
Year2013
Access Date2024, May 18
Secondary TypePRE PI {} {} {PRE PI}
Number of Files1
Size3091 KiB
2. Context
Author1 Camarinha, Pedro Ivo Mioni
2 Canavesi, Vanessa
3 Alvalá, Regina Célia dos Santos
Resume Identifier1
2
3 8JMKD3MGP5W/3C9JJ59
Group1 CST-CST-SPG-INPE-MCTI-GOV-BR
2 CST-CST-INPE-MCTI-GOV-BR
3 CST-CST-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 pedro.camarinha@inpe.br
2 vanessa.canavesi@inpe.br
e-Mail Addresspedro.camarinha@inpe.br
JournalNatural Hazards and Earth System Sciences Discussion
Volume1
Number5
Pages5199-5236
History (UTC)2013-12-12 17:26:47 :: lattes -> administrator :: 2013
2021-03-06 05:20:32 :: administrator -> marcelo.pazos@inpe.br :: 2013
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordslandslide
fuzzy gamma
risk assesment
AbstractIn Brazil, most of the disasters involving landslide occur in coastal regions, with population density concentrated on steep slopes. Thus, different approaches have been used to evaluate the landslide risk, although the greatest difficulty is related to the scarcity of spatial data with good quality. In this context, four cities located on the southeast coast of Brazil Santos, Cubatão, Caraguatatuba and Ubatuba in a region with the rough reliefs of the Serra do Mar and with a history of natural disasters were evaluated. Spatial prediction by fuzzy gamma technique was used for the landslide susceptibility mapping, considering environmental variables from data and software in the public domain. To validate the susceptibility mapping results, it was overlapped with risk sectors provided by the Geological Survey of Brazil (CPRM). A positive correlation was observed between the classes most susceptible and the location of these sectors. The results were also analyzed from the categorization of risk levels provided by CPRM. To compare the approach with other studies using landslide-scar maps, correlated indexes were evaluated, which also showed satisfactory results, thus indicating that the methodology presented is appropriate for risk assessment in urban areas and can be replicated to municipalities that do not have risk areas mapped.
AreaCST
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > COCST > Shallow landslide prediction...
Arrangement 2urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > CST > Shallow landslide prediction...
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4. Conditions of access and use
Languageen
User Grouplattes
marcelo.pazos@inpe.br
Reader Groupadministrator
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Visibilityshown
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Mirror Repositoryiconet.com.br/banon/2006/11.26.21.31
Next Higher Units8JMKD3MGPCW/3F3T29H
8JMKD3MGPCW/449U4PL
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.58.46 3
sid.inpe.br/bibdigital/2013/10.19.20.40 2
sid.inpe.br/bibdigital/2021/03.06.05.18 2
URL (untrusted data)http://www.nat-hazards-earth-syst-sci-discuss.net/1/5199/2013/nhessd-1-5199-2013.html
DisseminationPORTALCAPES
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
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7. Description control
e-Mail (login)marcelo.pazos@inpe.br
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