Drought characterization in the Northeast Brazil: a multiscale watershed analysis and remote sensing monitoring

Página do item simplificado Estatísticas
dc.contributor.advisorBezerra, Bergson Guedes
dc.contributor.advisorIDpt_BR
dc.contributor.advisorLatteshttp://lattes.cnpq.br/1901216516407999pt_BR
dc.contributor.authorMutti, Pedro Rodrigues
dc.contributor.authorIDpt_BR
dc.contributor.authorLatteshttp://lattes.cnpq.br/5475390537931966pt_BR
dc.contributor.referees1Bigot, Sylvain
dc.contributor.referees1IDpt_BR
dc.contributor.referees2Arvor, Damien
dc.contributor.referees2IDpt_BR
dc.contributor.referees2Latteshttp://lattes.cnpq.br/2940915374250704pt_BR
dc.contributor.referees3Galvíncio, Josiclêda Domiciano
dc.contributor.referees3IDpt_BR
dc.contributor.referees3Latteshttp://lattes.cnpq.br/7217736964361440pt_BR
dc.contributor.referees4Andrade, Lara de Melo Barbosa
dc.contributor.referees4IDpt_BR
dc.contributor.referees4Latteshttp://lattes.cnpq.br/0327817672623352pt_BR
dc.contributor.referees5Dubreuil, Vincent
dc.contributor.referees5IDpt_BR
dc.contributor.referees5Latteshttp://lattes.cnpq.br/4820223919671343pt_BR
dc.date.accessioned2021-01-21T17:11:35Z
dc.date.available2021-01-21T17:11:35Z
dc.date.issued2020-12-10
dc.description.resumoDrought is a recurrent phenomenon in the Northeast Brazil (NEB) region, especially in its semiarid inlands, which are characterized by a remarkable climate variability, the expansion of desertification areas and persistent water-use conflicts. Furthermore, future climate change projections indicate that drought events will become more frequent and intense, exerting more pressure over the already vulnerable region. Although several drought studies have been carried out at the NEB, some important methodological aspects inherent to data quality and control, specificities of the used techniques, and spatial scale still need to be further discussed. Therefore, the objective of this thesis is to characterize different aspects of drought in the NEB considering different spatial scales, meteorological data characteristics, and remote sensing monitoring alternatives. This characterization was carried out in the São Francisco watershed (SFW), which presents a remarkable climate diversity, in the Piranhas-Açu watershed (PAW), which is mostly located in the semiarid NEB, and in desertification hotspots. In the first study, we thoroughly validated Climate Research Unit Time Series (CRU TS) gridded precipitation and potential evapotranspiration data over the SFW. CRU TS data presents overall good correlation with observed data. Then, we compared the applicability of the evaporation deficit and the Standardized Precipitation-Evapotranspiration Index as drought indices in the SFW. Results show that periods of water shortage are becoming more frequent and more intense in the coastal and middle zones of the basin, indicating an expansion of aridity. In the second study, we used gap-filled observed rainfall time series in order to propose a comprehensive climatological analysis in the PAW. A rainfall anomaly index was used to identify drought events, which are mostly associated with El Niño events and the anomalous warming of the Tropical North Atlantic Ocean. Finally, in the third study, different stochastic models were tested in order to forecast remotely sensed Normalized Difference Vegetation Index data (MOD13A2 product) over six desertification hotspots in the NEB. Results show that the tested models satisfactorily forecast short-term dry and degraded vegetation states. The results of this thesis contribute to the current general knowledge associated with drought assessment over semiarid regions, and the specific results of each study can be further explored by management agencies or local entities in the development of specific strategies to face and adapt to drought in the NEB.pt_BR
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESpt_BR
dc.identifier.citationMUTTI, Pedro Rodrigues. Drought characterization in the Northeast Brazil: a multiscale watershed analysis and remote sensing monitoring. 2020. 161f. Tese (Doutorado em Ciências Climáticas) - Centro de Ciências Exatas e da Terra, Universidade Federal do Rio Grande do Norte, Natal, 2020.pt_BR
dc.identifier.urihttps://repositorio.ufrn.br/handle/123456789/31308
dc.languagept_BRpt_BR
dc.publisherUniversidade Federal do Rio Grande do Nortept_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.initialsUFRNpt_BR
dc.publisher.programPROGRAMA DE PÓS-GRADUAÇÃO EM CIÊNCIAS CLIMÁTICASpt_BR
dc.rightsAcesso Abertopt_BR
dc.subjectSemiaridpt_BR
dc.subjectWater balancept_BR
dc.subjectClimate extremespt_BR
dc.subjectData series gap-fillingpt_BR
dc.subjectDesertificationpt_BR
dc.subjectNDVIpt_BR
dc.subjectSPEIpt_BR
dc.titleDrought characterization in the Northeast Brazil: a multiscale watershed analysis and remote sensing monitoringpt_BR
dc.typedoctoralThesispt_BR

Arquivos

Pacote Original

Agora exibindo 1 - 1 de 1
Imagem de Miniatura
Nome:
DroughtcharacterizationNortheast_Mutti_2020.pdf
Tamanho:
6.83 MB
Formato:
Adobe Portable Document Format
Imagem de Miniatura
 Baixar

Coleções

PPGCC - Doutorado em Ciências Climáticas
Repositório Institucional - UFRN Campus Universitário Lagoa NovaCEP 59078-970 Caixa postal 1524 Natal/RN - BrasilUniversidade Federal do Rio Grande do Norte© Copyright 2025. Todos os direitos reservados.
Contato+55 (84) 3342-2260 - R232Setor de Repositórios Digitaisrepositorio@bczm.ufrn.br
DSpaceIBICT
OasisBR
LAReferencia
Customizado pela CAT - BCZM