Banca de DEFESA: IAGO JOSE DE LIMA SILVA

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : IAGO JOSE DE LIMA SILVA
DATE: 20/04/2022
TIME: 08:30
LOCAL: videoconferência
TITLE:

WET AND DRY PERIODS IN THE STATE OF ALAGOAS VIA DROUGHT INDEX.

KEY WORDS:

Rain; dry; water resources; guarantee index; risk regionalization.

PAGES: 121
BIG AREA: Ciências Exatas e da Terra
AREA: Geociências
SUBÁREA: Meteorologia
SUMMARY:

The state of success of the rains has its economic basis for agriculture, and the knowledge of the rainy seasons and the success of agricultural enterprises is fundamental. The objective was to define the rainy and dry periods in the state of Alagoas through multivariate analysis applied to the Standardized Precipitation Index (SPI). Use of rainfall data and filled in (period of 54 stations not filled in) (1900 data filled in by default2016) via multiple imputation method, filled in and valid2, where they will be filled out2; R2=0.65; R2= =54.85 mm; RQEM=54.84 mm), Agreste (r=0.69; R2=0.47; EPE=70.97 mm; RQEM=70.97 mm) and East (r=0.61; R2=0.37 ; EPE=154.87 mm; RQEM=109.48 mm). Cluster analysis was applied to time series (definition of periods1) and SPI-2 (annual determination of droughts and rainfall). The accumulated annual rainfall presented 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 terms of monthly fees, only the eastern part of Alagoas has the rainy months in the historical series. Of the connection methods tested, the average connection, also known as C which believes that it proves to be cophenetic 0.8760) represents or characterizes homogeneous regions of groups, one non-coastal1 (G and two others further inland2), and two non-homogeneous groups (NA) in the state. The SPI assigned to the annual El to identify the independent and wet periods, in the Niño-Oscillation (ENSO) categorization. As categories of the annual SPI12 high variability and decadal presented us, except as extremely dry and wet groups. There is greater variability in the dry and rainy periods near the coast than in the interior of the state.

BANKING MEMBERS:
Externo à Instituição - CLAUDIO JOSÉ CAVALCANTE BLANCO - UFPA
Externo à Instituição - GIVANILDO DE GOIS - UFRJ
Interno - 4421297 - HELIOFABIO BARROS GOMES
Presidente - 1850795 - JOSE FRANCISCO DE OLIVEIRA JUNIOR
Externa à Instituição - JOSICLEIA PEREIRA ROGERIO - UFRJ