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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/46JTGHE
Repositóriosid.inpe.br/mtc-m21d/2022/03.28.14.26   (acesso restrito)
Última Atualização2022:03.28.14.26.08 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21d/2022/03.28.14.26.08
Última Atualização dos Metadados2023:01.03.16.46.03 (UTC) administrator
DOI10.1016/j.catena.2022.106225
ISSN0341-8162
Chave de CitaçãoSantosAvViChAcPoCu:2022:PrRaEr
TítuloProjections of rainfall erosivity in climate change scenarios for the largest watershed within Brazilian territory
Ano2022
MêsJun
Data de Acesso18 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho6860 KiB
2. Contextualização
Autor1 Santos, Wharley Pereira dos
2 Avanzi, Junior Cesar
3 Viola, Marcelo Ribeiro
4 Chou, Sin Chan
5 Acuña-Guzman, Salvador Francisco
6 Pontes, Lucas Machado
7 Curi, Nilton
Grupo1
2
3
4 DIMNT-CGCT-INPE-MCTI-GOV-BR
Afiliação1 Universidade Federal de Lavras (UFLA)
2 Universidade Federal de Lavras (UFLA)
3 Universidade Federal de Lavras (UFLA)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Universidade Federal de Lavras (UFLA)
6 Universidade de São Paulo (USP)
7 Universidade Federal de Lavras (UFLA)
Endereço de e-Mail do Autor1 wharley.pereira@estudante.ufla.br
2 junior.avanzi@ufla.br
3 marcelo.viola@ufla.br
4 chou.chan@inpe.br
5 salvador.acuna@upr.edu
6
7 niltcuri@ufla.br
RevistaCatena
Volume213
Páginase106225
Nota SecundáriaA1_GEOGRAFIA A1_ENGENHARIAS_I A2_SOCIOLOGIA A2_GEOCIÊNCIAS A2_ENGENHARIAS_III A2_CIÊNCIAS_AGRÁRIAS_I B2_QUÍMICA B2_CIÊNCIAS_BIOLÓGICAS_I B3_ASTRONOMIA_/_FÍSICA C_ZOOTECNIA_/_RECURSOS_PESQUEIROS
Histórico (UTC)2022-03-28 14:26:08 :: simone -> administrator ::
2022-03-28 14:26:09 :: administrator -> simone :: 2022
2022-03-28 14:26:58 :: simone -> administrator :: 2022
2023-01-03 16:46:03 :: administrator -> simone :: 2022
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-ChaveAmazon and Cerrado biomes
Climate change
Downscaling
Soil and water conservation
Water erosion
ResumoGlobal climate change can potentially threaten agricultural production due to endangered natural resources, such as rainfall patterns. Thus, extreme rainfall events can cause greater rainfall erosivity, consequently, greater soil erosion. Conversely, a reduction in rainfall amount can lead to water scarcity for the agriculture production process. This way, it is a foremost need to model climatic conditions under global climate change scenarios, particularly in places where rainfall data tends to increase. This work aimed to project rainfall erosivity in the major Brazilian watershed, the Tocantins-Araguaia river basin, throughout the 21st century under two Intergovernmental Panel for Climate Change Fifth Assessment Report (IPCC AR5) Scenarios, the Representative Concentration Pathways, RCP4.5 and RCP8.5 scenarios. This study uses the downscaling of four global climate models of the Coupled Model Intercomparison Project (CMIP5) by the Eta regional climate model, used by the Brazilian National Institute for Space Research. The average rainfall erosivity was calculated based on the Modified Fournier Index in three periods of 30-year length throughout the 21st century. Time series of R-factor were analyzed at rain gauge station points overlapping regional model grid cells over the basin for the 19612099 period. Projections indicated lower annual average rainfall erosivity values in comparison with historical data. Estimated mean rainfall erosivity values were 10,977.69 ± 526 MJ mm ha−1 h−1 yr−1 for the RCP4.5 scenario, and 10,379.71 ± 723 MJ mm ha−1 h−1 yr−1 for the most pessimistic climate change scenario, RCP8.5. The largest reductions of the mean R-factor reached 5,5% for the multi-model ensemble projections for near future, and 15.4% for the ensemble projections models for long-term, with the greatest decreasing trends under RCP8.5. Reductions greater than 2,000 MJ mm ha−1 h−1 are expected throughout the 21st century according to multi-model ensemble projections models under RCP8.5 scenario in most of the watershed. Decreasing rainfall erosivity factor in both RCP scenarios was due to a lower rainfall depth. However, the value of rainfall erosivity is still considered high and should be taken into account in soil conservation practices. Furthermore, the smaller rainfall amount indicates a possible reduction in water availability for crops of longer cycle, and increase in spatial variability of less intense rainfall.
ÁreaMET
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4. Condições de acesso e uso
Idiomaen
Arquivo Alvosantos_2022_projection.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Política de Arquivamentodenypublisher denyfinaldraft24
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/46KUATE
Lista de Itens Citandosid.inpe.br/bibdigital/2022/04.03.22.23 1
DivulgaçãoWEBSCI; PORTALCAPES; SCOPUS.
Acervo Hospedeirourlib.net/www/2021/06.04.03.40
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project resumeid rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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