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1. Identity statement
Reference TypeJournal Article
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W/474P2U2
Repositorysid.inpe.br/plutao/2022/06.15.12.54
Last Update2022:06.20.15.26.45 (UTC) lattes
Metadata Repositorysid.inpe.br/plutao/2022/06.15.12.54.01
Metadata Last Update2023:01.03.16.52.55 (UTC) administrator
DOI10.4236/ijg.2022.133010
ISSN2156-8367
2156-8367
Labellattes: 4136902188810339 1 KonigKuxCors:2022:AdMoAp
Citation KeyPachecoKuxCors:2022:AdMoAp
TitleAdvanced Models Applied for the Elaboration of Landslide-Prone Maps, a Review
Year2022
Access Date2024, May 26
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size3292 KiB
2. Context
Author1 Pacheco, Téhrrie Caroline Konig Ferraz
2 Kux, Hermann Johann Heinrich
3 Corsi, Alessandra C.
Resume Identifier1
2 8JMKD3MGP5W/3C9JHCD
Group1 SER-SRE-DIPGR-INPE-MCTI-GOV-BR
2 DIOTG-CGCT-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto de Pesquisas Tecnológicas (IPT)
Author e-Mail Address1 tehrriekonig@gmail.com
2 arminiusbrasilis@gmail.com
3 accorsi@ipt.br
JournalInternational Journal of Geosciences
Volume13
Number3
Pages174-198
Secondary MarkB5_INTERDISCIPLINAR
History (UTC)2022-06-15 13:07:19 :: lattes -> administrator :: 2022
2022-06-20 15:25:08 :: administrator -> lattes :: 2022
2022-06-20 15:26:47 :: lattes -> administrator :: 2022
2023-01-03 16:52:55 :: administrator -> simone :: 2022
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsDisaster
Shalstab
TRIGRS
Sinmap
Landslide Susceptibility
AbstractLandslides are a natural phenomenon that happens all around the world. When happening in urban areas they become a disaster, disrupting the lifestyle of a community or society. Human losses, social impacts, and structural damage are some of the landslides effects. The current climate variability shows an increase in extreme weather conditions, either with long periods of drought or heavy and long-term rainfall. In Brazil, landslides are one of the deadliest disasters; they are usually preceded and triggered by heavy rainfall and already have affected more than 4 million people. Moreover, with the population growth, areas with high declivities have been occupied and turned into urban areas. Those people living there are vulnerable to suffering from landslides, losing their homes, and in extreme cases, losing their life. The identification and monitoring of landslide-prone areas are crucial to avoid disasters. Several advanced models, with different approaches, were developed to identify the landslide-prone areas. Aiming to decide the model that provides more satisfactory results, this paper presents a literature review of the applicability and limitations of three advanced models. The three models are Sinmap, Shalstab and TRIGRS. The analysis determined that all three models are adequate for stability management in slope areas. Moreover, TRIGRS results are more accurate than Shalstab, and the Sinmap model provides an over-estimation of landslide-prone areas.
AreaSRE
Arrangement 1urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Advanced Models Applied...
Arrangement 2urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Advanced Models Applied...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://plutao.sid.inpe.br/ibi/8JMKD3MGP3W/474P2U2
zipped data URLhttp://plutao.sid.inpe.br/zip/8JMKD3MGP3W/474P2U2
Languageen
Target Fileijg_2022031514325306.pdf
Reader Groupadministrator
lattes
Visibilityshown
Archiving Policyallowpublisher allowfinaldraft
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3F3NU5S
8JMKD3MGPCW/46KUATE
Citing Item Listsid.inpe.br/bibdigital/2013/10.18.22.34 5
sid.inpe.br/bibdigital/2022/04.03.22.23 1
sid.inpe.br/mtc-m21/2012/07.13.14.49.50 1
URL (untrusted data)https://www.scirp.org/journal/paperinformation.aspx?paperid=115907
DisseminationPORTALCAPES
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn lineage mark mirrorrepository month nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readpermission rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype usergroup
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