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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21d.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34T/48MR8QS
Repositóriosid.inpe.br/mtc-m21d/2023/03.13.16.25   (acesso restrito)
Última Atualização2023:03.13.16.25.06 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21d/2023/03.13.16.25.06
Última Atualização dos Metadados2024:01.02.17.16.41 (UTC) administrator
DOI10.3390/land12020468
ISSN2073-445X
Chave de CitaçãoBhagyaSBDCRGCQJSSAMAFA:2023:LaSuAs
TítuloLandslide susceptibility assessment of a part of the western Ghats (India) employing the AHP and F-AHP models and comparison with existing susceptibility maps
Ano2023
MêsFeb.
Data de Acesso11 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho13313 KiB
2. Contextualização
Autor 1 Bhagya, Sheela Bhuvanendran
 2 Sumi, Anita Saji
 3 Balaji, Sankaran
 4 Danumah, Jean Homian
 5 Costache, Romulus
 6 Rajaneesh, Ambujendran
 7 Gokul, Ajayakumar
 8 Chandrasenan, Chandini Padmanabhapanicker
 9 Quevedo, Renata Pacheco
10 Johny, Alfred
11 Sajinkumar, Kochappi Sathyan
12 Saha, Sunil
13 Ajin, Rajendran Shobha
14 Mammen, Pratheesh Chacko
15 Abdelrahman, Kamal
16 Fnais, Mohammed S.
17 Abioui, Mohamed
ORCID 1
 2
 3
 4
 5 0000-0002-6876-8572
 6 0000-0003-0732-5046
 7
 8
 9 0000-0002-7528-9166
10 0000-0002-6561-4834
11 0000-0002-6461-8112
12 0000-0003-2739-3716
13 0000-0003-3073-4390
14 0000-0002-1824-202X
15 0000-0002-9473-6769
16
17 0000-0002-6331-1442
Grupo 1
 2
 3
 4
 5
 6
 7
 8
 9 SER-SRE-DIPGR-INPE-MCTI-GOV-BR
Afiliação 1 Pondicherry University
 2 Pondicherry University
 3 Pondicherry University
 4 Université Félix Houphouët-Boigny
 5 National Institute of Hydrology and Water Management
 6 University of Kerala
 7 Kerala State Emergency Operations Centre (KSEOC)
 8 Kerala State Emergency Operations Centre (KSEOC)
 9 Instituto Nacional de Pesquisas Espaciais (INPE)
10 Kerala State Emergency Operations Centre (KSEOC)
11 University of Kerala
12 University of Gour Banga
13 Kerala State Emergency Operations Centre (KSEOC)
14 Kerala State Emergency Operations Centre (KSEOC)
15 King Saud University
16 King Saud University
17 Ibn Zohr University
Endereço de e-Mail do Autor 1
 2
 3
 4
 5
 6
 7
 8
 9 renatapquevedo@gmail.com
10
11
12
13 ajinares@ieee.org
14
15
16
17 m.abioui@uiz.ac.ma
RevistaLand
Volume12
Número2
Páginase468
Histórico (UTC)2023-03-13 16:26:53 :: simone -> administrator :: 2023
2024-01-02 17:16:41 :: administrator -> simone :: 2023
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-ChaveAHP
F-AHP
GIS-TISSA
Koottickal disaster
landslides
NCESS model
ResumoLandslides are prevalent in the Western Ghats, and the incidences that happened in 2021 in the Koottickal area of the Kottayam district (Western Ghats) resulted in the loss of 10 lives. The objectives of this study are to assess the landslide susceptibility of the high-range local self-governments (LSGs) in the Kottayam district using the analytical hierarchy process (AHP) and fuzzy-AHP (F-AHP) models and to compare the performance of existing landslide susceptible maps. This area never witnessed any massive landslides of this dimension, which warrants the necessity of relooking into the existing landslide-susceptible models. For AHP and F-AHP modeling, ten conditioning factors were selected: slope, soil texture, land use/land cover (LULC), geomorphology, road buffer, lithology, and satellite image-derived indices such as the normalized difference road landslide index (NDRLI), the normalized difference water index (NDWI), the normalized burn ratio (NBR), and the soil-adjusted vegetation index (SAVI). The landslide-susceptible zones were categorized into three: low, moderate, and high. The validation of the maps created using the receiver operating characteristic (ROC) technique ascertained the performances of the AHP, F-AHP, and TISSA maps as excellent, with an area under the ROC curve (AUC) value above 0.80, and the NCESS map as acceptable, with an AUC value above 0.70. Though the difference is negligible, the map prepared using the TISSA model has better performance (AUC = 0.889) than the F-AHP (AUC = 0.872), AHP (AUC = 0.867), and NCESS (AUC = 0.789) models. The validation of maps employing other matrices such as accuracy, mean absolute error (MAE), and root mean square error (RMSE) also confirmed that the TISSA model (0.869, 0.226, and 0.122, respectively) has better performance, followed by the F-AHP (0.856, 0.243, and 0.147, respectively), AHP (0.855, 0.249, and 0.159, respectively), and NCESS (0.770, 0.309, and 0.177, respectively) models. The most landslide-inducing factors in this area that were identified through this study are slope, soil texture, LULC, geomorphology, and NDRLI. Koottickal, Poonjar-Thekkekara, Moonnilavu, Thalanad, and Koruthodu are the LSGs that are highly susceptible to landslides. The identification of landslide-susceptible areas using diversified techniques will aid decision-makers in identifying critical infrastructure at risk and alternate routes for emergency evacuation of people to safer terrain during an exigency.
ÁreaSRE
Arranjo 1urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Landslide susceptibility assessment...
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4. Condições de acesso e uso
Idiomaen
Arquivo Alvoland-12-00468.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3F3NU5S
8JMKD3MGPCW/46KUATE
Lista de Itens Citandosid.inpe.br/bibdigital/2013/10.18.22.34 2
DivulgaçãoWEBSCI; PORTALCAPES.
Acervo Hospedeirourlib.net/www/2021/06.04.03.40
6. Notas
Campos Vaziosalternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes parameterlist parentrepositories previousedition previouslowerunit progress project resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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