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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/449D3TS
Repositóriosid.inpe.br/mtc-m21c/2021/03.02.19.07   (acesso restrito)
Última Atualização2021:03.02.19.07.04 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m21c/2021/03.02.19.07.04
Última Atualização dos Metadados2022:04.03.22.28.16 (UTC) administrator
DOI10.1002/joc.6869
ISSN0899-8418
Chave de CitaçãoBohnLyrOliZerCun:2021:DeSuOv
TítuloDesertification susceptibility over Rio de Janeiro, Brazil, based on aridity indices and geoprocessing
Ano2021
MêsJan.
Data de Acesso20 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho11426 KiB
2. Contextualização
Autor1 Bohn, Leonardo
2 Lyra, Gustavo Bastos
3 Oliveira Júnior, José Francisco
4 Zeri, Marcelo
5 Cunha Zeri, Gisleine
Grupo1
2
3
4
5 DIIAV-CGCT-INPE-MCTI-GOV-BR
Afiliação1 Universidade Federal do Rio Grande do Sul (UFRGS)
2 Universidade Federal Rural do Rio de Janeiro (UFRRJ)
3 Universidade Federal de Alagoas (UFAL)
4 Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1
2 gblyra@gmail.com
3
4
5 gisleine.zeri@inpe.br
RevistaInternational Journal of Climatology
Volume41
NúmeroS1
PáginasE2600-E2614
Nota SecundáriaA1_GEOCIÊNCIAS A1_ENGENHARIAS_I A1_CIÊNCIAS_AMBIENTAIS A1_CIÊNCIAS_AGRÁRIAS_I A2_INTERDISCIPLINAR A2_BIODIVERSIDADE B1_CIÊNCIAS_BIOLÓGICAS_I
Histórico (UTC)2021-03-02 19:07:04 :: simone -> administrator ::
2021-03-02 19:07:06 :: administrator -> simone :: 2021
2021-03-02 19:08:11 :: simone -> administrator :: 2021
2022-04-03 22:28:16 :: administrator -> simone :: 2021
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-Chavearidity index
cartographic modelling
geographic information system
climatological water balance
ResumoDesertification is a serious threat to human development and sustainability. This process is characterized by land degradation over areas with dry sub-humid, semi-arid and arid climate. In this work, climate susceptibility to desertification was identified for the state of Rio de Janeiro (SRJ), Brazil, the third most populated state in the country. The state is characterized by complex topography, and diverse climate and land uses. Two formulations for the aridity index were used: Ia, defined by Thornthwaite (1948, Geographical Review, 38(1), 5594) and Penman (1953, Horticultural Congress, 2, 913924), and D, a modification of Ia by Hare (1983, Climate and Desertification: A Revised Analysis, Geneva: World Meteorological Organization). Both estimates of the aridity require annual rainfall and potential evapotranspiration, which were calculated from the climatological water balance using times series of rainfall and air temperature (19612010) from 98 stations over the SRJ. Annual rainfall, evapotranspiration, water deficit and the aridity indices were then spatially interpolated over a 5 × 5-km grid using a spline tension method. Both indices agree on the driest regions of the SRJ: Norte and Baixada Litorânea, near the northern coast, both under sub-humid and semi-arid climate. The index Ia indicated susceptibility to desertification over 2,305 km2 on the Norte and Baixada Litorânea regions, which correspond to 5% of SRJ area; similarly, the index D classified a smaller area over the Norte region under desertification (431 km2). These subregions, among the others also considered in this study, are of great importance for the agricultural, forestry and tourism industries and contribute immensely to the economic development of the state. Hence, the evaluation of susceptibility to desertification in those areas is essential to help prevent further land degradation and support policies formulation on long-term sustainable management of land and water resources, especially under regional and global climate change scenarios. The methodology used in this work can be applied to studies of desertification in other regions of the world.
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4. Condições de acesso e uso
Idiomaen
Grupo de Usuáriosself-uploading-INPE-MCTI-GOV-BR
simone
Visibilidadeshown
Política de Arquivamentodenypublisher denyfinaldraft
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
VinculaçãoTrabalho não Vinculado à Tese/Dissertação
Unidades Imediatamente Superiores8JMKD3MGPCW/46KUATE
DivulgaçãoWEBSCI; PORTALCAPES; COMPENDEX; SCOPUS.
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup resumeid rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject targetfile tertiarytype url
7. Controle da descrição
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