| 1. Identificação | |
| Tipo de Referência | Artigo em Revista Científica (Journal Article) |
| Site | mtc-m21d.sid.inpe.br |
| Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
| Identificador | 8JMKD3MGP3W34T/46JTGHE |
| Repositório | sid.inpe.br/mtc-m21d/2022/03.28.14.26 (acesso restrito) |
| Última Atualização | 2022:03.28.14.26.08 (UTC) simone |
| Repositório de Metadados | sid.inpe.br/mtc-m21d/2022/03.28.14.26.08 |
| Última Atualização dos Metadados | 2023:01.03.16.46.03 (UTC) administrator |
| DOI | 10.1016/j.catena.2022.106225 |
| ISSN | 0341-8162 |
| Chave de Citação | SantosAvViChAcPoCu:2022:PrRaEr |
| Título | Projections of rainfall erosivity in climate change scenarios for the largest watershed within Brazilian territory  |
| Ano | 2022 |
| Mês | Jun |
| Data de Acesso | 16 maio 2024 |
| Tipo de Trabalho | journal article |
| Tipo Secundário | PRE PI |
| Número de Arquivos | 1 |
| Tamanho | 6860 KiB |
|
| 2. Contextualização | |
| Autor | 1 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 |
| Grupo | 1
2
3
4 DIMNT-CGCT-INPE-MCTI-GOV-BR |
| Afiliação | 1 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 Autor | 1 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 |
| Revista | Catena |
| Volume | 213 |
| Páginas | e106225 |
| Nota Secundária | A1_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 Conteúdo | concluido |
| Transferível | 1 |
| Tipo do Conteúdo | External Contribution |
| Tipo de Versão | publisher |
| Palavras-Chave | Amazon and Cerrado biomes
Climate change
Downscaling
Soil and water conservation
Water erosion |
| Resumo | Global 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. |
| Área | MET |
| Arranjo | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Projections of rainfall... |
| Conteúdo da Pasta doc | acessar |
| Conteúdo da Pasta source | não têm arquivos |
| Conteúdo da Pasta agreement | |
|
| 4. Condições de acesso e uso | |
| Idioma | en |
| Arquivo Alvo | santos_2022_projection.pdf |
| Grupo de Usuários | simone |
| Grupo de Leitores | administrator
simone |
| Visibilidade | shown |
| Política de Arquivamento | denypublisher denyfinaldraft24 |
| Permissão de Leitura | deny from all and allow from 150.163 |
| Permissão de Atualização | não transferida |
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| 5. Fontes relacionadas | |
| Unidades Imediatamente Superiores | 8JMKD3MGPCW/46KUATE |
| Lista de Itens Citando | sid.inpe.br/bibdigital/2022/04.03.22.23 1 |
| Divulgação | WEBSCI; PORTALCAPES; SCOPUS. |
| Acervo Hospedeiro | urlib.net/www/2021/06.04.03.40 |
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| 6. Notas | |
| Campos Vazios | alternatejournal 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 |
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| 7. Controle da descrição | |
| e-Mail (login) | simone |
| atualizar | |
|
