PPGMET PROGRAMA DE PÓS-GRADUAÇÃO EM METEOROLOGIA INSTITUTO DE CIÊNCIAS ATMOSFÉRICAS Phone: Not available

Banca de QUALIFICAÇÃO: IAGO JOSE DE LIMA SILVA

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : IAGO JOSE DE LIMA SILVA
DATE: 12/11/2021
TIME: 08:00
LOCAL: videoconferência
TITLE:
WET AND DRY PERIODS IN THE STATE OF ALAGOAS VIA DRY INDEX

KEY WORDS:

rainfall; drought; water resources; climatic drought index; risk regionalization.


PAGES: 106
BIG AREA: Ciências Exatas e da Terra
AREA: Geociências
SUBÁREA: Meteorologia
SUMMARY:

The state of Alagoas has its economic base directed to agriculture, and the knowledge of wet
and dry periods is fundamental for the success of agricultural enterprises. The objective was
to define the wet and dry periods in the state of Alagoas via multivariate analysis applied to
the Standardized Precipitation Index (SPI). Monthly rainfall data for 20 weather stations from
1960 to 2016 were used, with fault filling via imputation. Cluster analysis (CA) was applied
to the time series (definition of homogeneous regions) and SPI-12 (annual) - (determination
of dry-and wet-spell periods). The annual accumulated rainfall showed two distinct periods:
1960 to 1990 (P1) and 1990 to 2016 (P2), according to the Pettitt test. Both periods alternate
according to the phases of La Niña and Neutral (rainy years) and El Niño (dry years). In the
monthly rainfall, only the eastern part of Alagoas increased the rainy months in the historical
series. Of the tested connection methods, the average connection, also known as cophenetic
correlation coefficient (CCC = 0.8760) represented homogeneous groups of rainfall, featuring
two regions, one on the coast (G 1 ) and another hinterland and arid (G 2 ), and two non-
homogeneous groups (NA) in the state. The annual SPI helped identify dry and wet periods,
regardless of El Niño-Southern Oscillation (ENSO) categorization. As categorias do SPI-12
apresentam alta variabilidade anual e decadal nos grupos, exceto as categorias extremamente
seca e úmida. There is greater variability in dry and wet periods near the coast than in the
hinterland of the State.


BANKING MEMBERS:
Externo à Instituição - VICTOR AZEVEDO GODOI
Interna - 2331771 - GEORGENES HILARIO CAVALCANTE SEGUNDO
Presidente - 1850795 - JOSÉ FRANCISCO DE OLIVEIRA JÚNIOR
Externo à Instituição - LUIZ CLAUDIO GOMES PIMENTEL - UFRJ
Notícia cadastrada em: 08/11/2021 09:07
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