Banca de DEFESA: IARA BEZERRA DA SILVA CAVALCANTE

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : IARA BEZERRA DA SILVA CAVALCANTE
DATE: 06/05/2022
TIME: 08:30
LOCAL: Videoconferência
TITLE:

ANALYSIS OF SPATIAL-TEMPORAL VARIABILITY OF PRECIPITATION IN MACEIÓ-AL AND ITS CLIMATE CAUSES

KEY WORDS:

Standardized Precipitation Index, ENSO, Wavelet Analysis.

PAGES: 97
BIG AREA: Ciências Exatas e da Terra
AREA: Geociências
SUBÁREA: Meteorologia
SUMMARY:

Due to the pluviometric behavior in the city of Maceió, the general objective of this work is to analyze the spatial and temporal variability of precipitation in Maceió, identifying homogeneous areas and, consequently, identifying the climatic cause for the occurrence of its variability and its extremes. . Precipitation data from Maceió were used for 13 meteorological stations, with periods from 2015 to 2020, obtained from the Municipal Civil Defense, with no failures in the study period. Through spatialization, it was observed that the mean annual Standardized Precipitation Index (SPI) values were classified as normal. However, the upper part of the capital, to the north, and the North Coast of Maceió have lower values that are closer to events classified as dry, unlike the lower part and South Coast, which have SPI closer to rainy events. For the SPI mean, two regions (R1 and R2) were identified, separated into groups by cluster analysis, which showed greater Euclidean distance and less similarity. The BoxPlot graph presents similar values in both the upper limit and the median for both regions (R1 and R2), in which the SPI of the upper value for the two regions has a maximum value of approximately 2.99, whereas the lower limit has a SPI close to to 1.1 for R1 and 1 for R2. In the Mann-Kendall trend, trends of decreasing precipitation were identified in region 1, and a slight increase in the trend of precipitation in region 2, both regions showed statistical significance through the T-Student test. Using wavelet analysis, the following scales were identified for region 1: seasonal, semiannual, interannual, ENOS, extended ENSO, Sunspots and Atlantic Dipole, in which ENOS and extended ENSO presented dominant scale, whereas for region 2, they were The following scales were identified: seasonal, semiannual, interannual, ENSO, Sunspots and Atlantic Dipole, with ENSO as the dominant scale. With the use of the cross wavelet, local managers can predict droughts after the occurrence of maximum IOS and that extreme events in Maceió have a significant relationship with ENSO. It is concluded that, through the statistical analysis used, it was possible to identify the temporal and spatial variability of precipitation in the capital of Alagoas.

BANKING MEMBERS:
Presidente - 1772619 - DJANE FONSECA DA SILVA
Interno - 1537309 - FABRICIO DANIEL DOS SANTOS SILVA
Externo à Instituição - OSMAR EVANDRO TOLEDO BONFIM