Banca de QUALIFICAÇÃO: ANA LETICIA MELO DOS SANTOS

Uma banca de QUALIFICAÇÃO de DOUTORADO foi cadastrada pelo programa.
STUDENT : ANA LETICIA MELO DOS SANTOS
DATE: 28/08/2023
TIME: 08:30
LOCAL: Laboratório de Informática LISC
TITLE:

Analysis of Precipitation Extremes and their relationship with Health Risks in the Brazilian Semiarid.

KEY WORDS:

Climate Vulnerability; Extreme Rainfall; Climate-Dependent Diseases.

PAGES: 150
BIG AREA: Ciências Exatas e da Terra
AREA: Geociências
SUBÁREA: Meteorologia
SPECIALTY: Meteorologia Aplicada
SUMMARY:

Excessive precipitation can trigger a series of adversities in society, leading to issues
stemming from climate-related extremes impacting human health. Changes brought
about by occurrences of precipitation extremes can amplify social vulnerability, in
accordance with the threshold at which individuals or systems can be affected; those
with fewer resources adapt less and are more susceptible. Currently, this theme is
under intense investigation by climate research teams. It's important to analyze the
relationship between climate and the population affected by extreme precipitation,
which can result in significant damage, as climate can promote the creation of
environments conducive to the proliferation or exacerbation of diseases of various
origins. This study aims to analyze precipitation extremes that pose risks to the
health of the population residing in the Brazilian Semiarid region. The analysis seeks
to identify spatial patterns of respiratory, infectious, and circulatory diseases,
correlating them with areas of uniform precipitation. Meteorological data from Daily
Rainfall Networks, as well as data from the IMERG V06 meteorological satellite for
the period 2000 to 2020, will be used. These data will subsequently be compared
with health information. A comparison between IMERG and some localized
pluviometric data in the region will be carried out to validate satellite data, in order to
achieve greater data coverage over the Brazilian Semiarid region. Validation will be
achieved through the use of the twelve climate extreme indices of ECCTDI, which
employ precipitation records to create indices capable of identifying greater
vulnerabilities according to pluviometric subdivisions.

COMMITTEE MEMBERS:
Presidente - 1164414 - WEBER ANDRADE GONCALVES
Interno - 1280761 - CRISTIANO PRESTRELO DE OLIVEIRA
Interna - ***.212.764-** - DANIELE TÔRRES RODRIGUES - UFPI
Interno - 1858120 - DAVID MENDES
Interna - 1346630 - LARA DE MELO BARBOSA ANDRADE