Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.5/5282
Título: Análise da variabilidade espacial e temporal da precipitação e seca em Portugal
Autor: Martins, Diogo Miguel dos Santos
Orientador: Pereira, Luís Santos
Paulo, Ana Maria Ambrósio
Palavras-chave: PCA
linear trends
cluster analysis
SPI
PDSI
MedPDSI
drought
precipitation
Data de Defesa: 2012
Editora: ISA/UTL
Citação: Martins, D.M.S. - Análise da variabilidade espacial e temporal da precipitação e seca em Portugal. Lisboa: ISA, 2012, 63 p.
Resumo: The spatial variability of precipitation and drought are investigated for Portugal using monthly precipitation from 74 stations and minimum and maximum temperature from 27 stations, covering the common period of 1941– 2006. Seasonal precipitation and the corresponding percentages in the year, as well as the precipitation concentration index (PCI), was computed for all 74 stations and then used as an input matrix for an R-mode principal component analysis to identify the precipitation patterns. The standardized precipitation index at 3 and 12 month time scales were computed for all stations, whereas the Palmer Drought Severity Index (PDSI) and the modified PDSI for Mediterranean conditions (MedPDSI) were computed for the stations with temperature data. The spatial patterns of drought over Portugal were identified by applying the S-mode principal component analysis coupled with varimax rotation to the drought indices matrices. The result revealed two distinct sub-regions in the country relative to both precipitation regimes and drought variability. The analysis of time variability of the PC scores of all drought indices allowed verifying that there is no linear trend indicating drought aggravation or decrease. In addition, the analysis shows that results for SPI-3, SPI-12, PDSI and MedPDSI are coherent among them.
Descrição: Mestrado em Engenharia do Ambiente - Tecnologias Ambientais - Instituto Superior de Agronomia
URI: http://hdl.handle.net/10400.5/5282
Aparece nas colecções:BISA - Dissertações de Mestrado / Master Thesis

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